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ORCIDDanilo P. Mandic
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- affiliation: Imperial College London, UK
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2020 – today
- 2026
[j252]Danilo P. Mandic
, Mónica F. Bugallo, Chrisina Jayne, Irwin King:
Artificial Intelligence for Education: A Signal Processing Perspective: Part II: From Human-AI Cocreativity to Educational Equity [From the Guest Editors]. IEEE Signal Process. Mag. 43(1): 29-31 (2026)- [j251]Alexander Jenkins, Emma Rainbow, Imad Jaimoukha, Fu Siong Ng, Ljubisa Stankovic, Milos Dakovic, Danimir Mandic, Danilo P. Mandic:
Fair and Skill-Diverse Student Group Formation: A graph-theoretic approach [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective]. IEEE Signal Process. Mag. 43(1): 83-97 (2026) - [j250]Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
QLMS-QHM: Accelerated Quaternion LMS Algorithm With Quasi-Hyperbolic Momentum. IEEE Trans. Signal Process. 74: 383-393 (2026) - [i109]Wuyang Zhou, Yuxuan Gu, Giorgos Iacovides, Danilo P. Mandic:
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices. CoRR abs/2601.21579 (2026) - 2025
- [j249]Mike Thornton, Danilo P. Mandic, Tobias Reichenbach:
Comparison of Linear and Nonlinear Methods for Decoding Selective Attention to Speech From Ear-EEG Recordings. IEEE Access 13: 127614-127625 (2025) - [j248]Engin Cemal Mengüç, Danilo P. Mandic:
Online censoring-based learning algorithms for fully complex-valued neural networks. Neurocomputing 623: 129412 (2025) - [j247]Yichun Qiu, Guoxu Zhou, Chao Li, Danilo P. Mandic, Qibin Zhao:
Tensor ring rank determination using odd-dimensional unfolding. Neural Networks 183: 106947 (2025) - [j246]Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm. Signal Process. 227: 109738 (2025) - [j245]Min Zhang, Min Xiang, Zhi Zheng, Sayed Pouria Talebi, Danilo P. Mandic:
A class of widely linear quaternion blind equalisation algorithms. Signal Process. 230: 109863 (2025) - [j244]Harry J. Davies, Giorgos Iacovides, Wuyang Zhou, Anthony G. Constantinides, Danilo P. Mandic:
Demystifying Encoder-Decoder Neural Networks: Correncoder for Regression via Latent Spaces [Lecture Notes]. IEEE Signal Process. Mag. 42(5): 98-110 (2025) - [j243]Danilo P. Mandic, Mónica F. Bugallo, Christina Jayne, Irwin King:
Artificial Intelligience for Education: A Signal Processing Perspective: Part I: From Active Learning to Mitigating Gender Bias [From The Guest Editors]. IEEE Signal Process. Mag. 42(6): 35-38 (2025) - [j242]Alexander Jenkins, Thiernithi Variddhisaï, Ahmed El-Medany, Fu Siong Ng, Danilo P. Mandic:
Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation. IEEE Trans. Signal Inf. Process. over Networks 11: 965-979 (2025) - [j241]Shuning Sun, Dongpo Xu, Qiankun Diao, Danilo P. Mandic:
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters. IEEE Trans. Signal Process. 73: 508-518 (2025) - [j240]Zhe Li, Yangyang Gu, Jingen Ni, Honglei Jin, Dongpo Xu, Danilo P. Mandic:
Time-Averaged ACLMS Algorithm for Improper Cyclostationary Inputs: Performance Analysis and Application to Interference-Limited Systems. IEEE Trans. Signal Process. 73: 3795-3811 (2025) - [c254]Giorgos Iacovides, Wuyang Zhou, Danilo P. Mandic:
FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs. ICAIF 2025: 647-655 - [c253]Pauline Bourigault, Danilo P. Mandic:
Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes. ICASSP 2025: 1-5 - [c252]Yuyang Miao, Zehua Chen, Chang Li, Danilo P. Mandic:
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals. ICASSP 2025: 1-5 - [c251]Qiyu Rao, Zdenka Babic, Scott C. Douglas, Danilo P. Mandic:
Panorama: An enabling technology for Hearables. ICASSP 2025: 1-5 - [c250]Sayed Pouria Talebi, Clive Cheong Took, Danilo P. Mandic:
A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices. DSP 2025: 1-5 - [c249]Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi:
Relational Conformal Prediction for Correlated Time Series. ICML 2025 - [c248]Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic:
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs. IJCNN 2025: 1-8 - [c247]Nina Moutonnet, Gregory Scott, Danilo P. Mandic:
Augmentation of EEG and ECG Time Series for Machine Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates. IJCNN 2025: 1-8 - [i108]Pauline Bourigault, Danilo P. Mandic:
Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes. CoRR abs/2501.15265 (2025) - [i107]Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic:
TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs. CoRR abs/2501.15674 (2025) - [i106]Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi:
Relational Conformal Prediction for Correlated Time Series. CoRR abs/2502.09443 (2025) - [i105]Alexander Jenkins, Andrea Cini, Joseph Barker, Alexander Sharp, Arunashis Sau, Varun Valentine, Srushti Valasang, Xinyang Li, Tom Wong, Timothy Betts, Danilo P. Mandic, Cesare Alippi, Fu Siong Ng:
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements. CoRR abs/2502.09473 (2025) - [i104]Mingxue Xu, Lisa Alazraki, Danilo P. Mandic:
How can representation dimension dominate structurally pruned LLMs? CoRR abs/2503.04377 (2025) - [i103]Amir Nassibi, Christos Papavassiliou, Ildar Rakhmatulin, Danilo P. Mandic, Seyed Farokh Atashzar:
A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring. CoRR abs/2503.19820 (2025) - [i102]Nina Moutonnet, Gregory Scott, Danilo P. Mandic:
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates. CoRR abs/2504.03761 (2025) - [i101]Sayed Pouria Talebi, Clive Cheong Took, Danilo P. Mandic:
A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices. CoRR abs/2504.13232 (2025) - [i100]Zehua Chen, Yuyang Miao, Liyuan Wang, Luyun Fan, Danilo P. Mandic, Jun Zhu:
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer. CoRR abs/2505.22306 (2025) - [i99]Giorgos Iacovides, Wuyang Zhou, Chao Li, Qibin Zhao, Danilo P. Mandic:
Domain-Aware Tensor Network Structure Search. CoRR abs/2505.23537 (2025) - [i98]Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorSLM: Energy-efficient Embedding Compression of Sub-billion Parameter Language Models on Low-end Devices. CoRR abs/2506.13514 (2025) - [i97]Wuyang Zhou, Giorgos Iacovides, Kriton Konstantinidis, Ilya Kisil, Danilo P. Mandic:
Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach. CoRR abs/2507.10170 (2025) - [i96]Giorgos Iacovides, Wuyang Zhou, Danilo P. Mandic:
FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs. CoRR abs/2507.18417 (2025) - [i95]Haozhe Tian, Qiyu Rao, Nina Moutonnet, Pietro Ferraro, Danilo P. Mandic:
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning. CoRR abs/2508.21652 (2025) - [i94]Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides, Danilo P. Mandic:
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models. CoRR abs/2509.03234 (2025) - [i93]Yuyang Miao, Huijun Xing, Danilo P. Mandic, Tony G. Constantinides:
Short Ticketing Detection Framework Analysis Report. CoRR abs/2510.23619 (2025) - [i92]Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey:
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models. CoRR abs/2512.16244 (2025) - [i91]Anthony Bolton, Wuyang Zhou, Zehua Chen, Giorgos Iacovides, Danilo P. Mandic:
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models. CoRR abs/2512.21572 (2025) - 2024
- [j239]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization. Neural Comput. 36(9): 1912-1938 (2024) - [j238]Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic:
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - [j237]Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng:
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digit. Medicine 7(1) (2024) - [j236]Yuqing Liang, Dongpo Xu, Naimin Zhang, Danilo P. Mandic:
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optim. Lett. 18(9): 2113-2131 (2024) - [j235]Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, Danilo P. Mandic:
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors 24(3): 877 (2024) - [j234]Qiankun Diao, Dongpo Xu, Shuning Sun, Danilo P. Mandic:
Price's Theorem for Quaternion Variables. IEEE Signal Process. Lett. 31: 1424-1428 (2024) - [j233]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 59-71 (2024) - [j232]Clive Cheong Took, Sayed Pouria Talebi, Rosa M. Fernández-Alcalá, Danilo P. Mandic:
Augmented Statistics of Quaternion Random Variables: A lynchpin of quaternion learning machines [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 72-87 (2024) - [j231]Harry J. Davies, Ghena Hammour, Marek Zylinski, Amir Nassibi, Ljubisa Stankovic, Danilo P. Mandic:
The Deep-Match Framework: R-Peak Detection in Ear-ECG. IEEE Trans. Biomed. Eng. 71(7): 2014-2021 (2024) - [j230]Marek Zylinski, Amir Nassibi, Ildar Rakhmatulin, Adil Malik, Christos Michael Papavassiliou, Danilo P. Mandic:
Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1738-1743 (2024) - [j229]Shengxi Li, Xuelong Li, Leonardo Chiariglione, Jiebo Luo, Wenwu Wang, Zhengyuan Yang, Danilo P. Mandic, Hamido Fujita:
Introduction to the Special Issue on AI-Generated Content for Multimedia. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6809-6813 (2024) - [j228]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - [j227]Isidora Stankovic, Milos Brajovic, Cornel Ioana, Milos Dakovic, Danilo P. Mandic, Ljubisa Stankovic:
Matched Filtering on Directed Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5857-5861 (2024) - [c246]Pauline Bourigault, Emmanuelle Bourigault, Danilo P. Mandic:
Multi-Modal Information Bottleneck Attribution with Cross-Attention Guidance. BMVC 2024 - [c245]Giorgos Iacovides, Thanos Konstantinidis, Mingxue Xu, Danilo P. Mandic:
FinLlama: LLM-Based Financial Sentiment Analysis for Algorithmic Trading. ICAIF 2024: 134-141 - [c244]Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. ICASSP Workshops 2024: 55-56 - [c243]Harry J. Davies, Yuyang Miao, Amir Nassibi, Morteza Khaleghimeybodi, Danilo P. Mandic:
Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data. ICASSP 2024: 5215-5219 - [c242]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML 2024: 8985-8999 - [c241]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion. IJCNN 2024: 1-8 - [c240]Yuyang Miao, Haolin Li, Danilo P. Mandic:
GPINN: Physics-Informed Neural Network with Graph Embedding. IJCNN 2024: 1-8 - [c239]Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. IJCNN 2024: 1-8 - [c238]Ching-En Chiu, Aditi Roy, Sarah Cechnicka, Ashvin Gupta, Arieh Levy Pinto, Christoforos Galazis, Kim Christensen, Danilo P. Mandic, Marta Varela:
Physics-Informed Neural Networks Can Accurately Model Cardiac Electrophysiology in 3D Geometries and Fibrillatory Conditions. CMRxRecon/MBAS/STACOM@MICCAI 2024: 98-109 - [c237]Sayed Pouria Talebi, Danilo P. Mandic:
On the Dynamics of Multiagent Nonlinear Filtering and Learning. MLSP 2024: 1-6 - [i90]Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic:
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. CoRR abs/2401.16729 (2024) - [i89]Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. CoRR abs/2401.17380 (2024) - [i88]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion. CoRR abs/2402.14227 (2024) - [i87]Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo P. Mandic:
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications. CoRR abs/2403.12285 (2024) - [i86]Nina Moutonnet, Steven White, Benjamin P. Campbell, Danilo P. Mandic, Gregory Scott:
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: a systematic review. CoRR abs/2404.15332 (2024) - [i85]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR abs/2405.07024 (2024) - [i84]Harry J. Davies, James Monsen, Danilo P. Mandic:
Interpretable Pre-Trained Transformers for Heart Time-Series Data. CoRR abs/2407.20775 (2024) - [i83]Edoardo Occhipinti, Marek Zylinski, Harry J. Davies, Amir Nassibi, Matteo Bermond, Patrik Bachtiger, Nicholas S. Peters, Danilo P. Mandic:
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders. CoRR abs/2409.05891 (2024) - [i82]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. CoRR abs/2409.12610 (2024) - [i81]Mingxue Xu, Sadia Sharmin, Danilo P. Mandic:
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models. CoRR abs/2410.03040 (2024) - [i80]Yuyang Miao, Zehua Chen, Chang Li, Danilo P. Mandic:
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals. CoRR abs/2410.04366 (2024) - [i79]Giorgos Iacovides, Wuyang Zhou, Danilo P. Mandic:
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection. CoRR abs/2410.10728 (2024) - [i78]Alexander Jenkins, Thiernithi Variddhisaï, Ahmed El-Medany, Fu Siong Ng, Danilo P. Mandic:
Online Graph Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation. CoRR abs/2411.01567 (2024) - [i77]Harry J. Davies, Giorgos Iacovides, Danilo P. Mandic:
Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models. CoRR abs/2412.10257 (2024) - 2023
- [j226]Harry J. Davies, Danilo P. Mandic:
Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach. Biomed. Signal Process. Control. 85: 104992 (2023) - [j225]Sayed Pouria Talebi, Simon J. Godsill, Danilo P. Mandic:
Filtering Structures for α-Stable Systems. IEEE Control. Syst. Lett. 7: 553-558 (2023) - [j224]Jinlan Liu, Dongpo Xu, Yinghua Lu, Jun Kong, Danilo P. Mandic:
Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing 527: 27-35 (2023) - [j223]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. 35(8): 1404-1429 (2023) - [j222]Bruno Scalzo, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A class of doubly stochastic shift operators for random graph signals and their boundedness. Neural Networks 158: 83-88 (2023) - [j221]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal GAN Through Characteristic Functions (RCF-GAN). IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2246-2263 (2023) - [j220]Ghena Hammour, Danilo P. Mandic:
An In-Ear PPG-Based Blood Glucose Monitor: A Proof-of-Concept Study. Sensors 23(6): 3319 (2023) - [j219]Marek Zylinski, Amir Nassibi, Danilo P. Mandic:
Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller. Sensors 23(17): 7521 (2023) - [j218]Zhu Qing, Jingen Ni, Zhe Li, Engin Cemal Mengüç, Jie Chen, Danilo P. Mandic:
Performance analysis of the augmented complex-valued least mean kurtosis algorithm. Signal Process. 203: 108792 (2023) - [j217]Engin Cemal Mengüç, Nurettin Acir, Danilo P. Mandic:
A Class of Online Censoring Based Quaternion-Valued Least Mean Square Algorithms. IEEE Signal Process. Lett. 30: 244-248 (2023) - [j216]Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]. IEEE Signal Process. Mag. 40(2): 155-165 (2023) - [j215]Harry J. Davies, Ian Williams, Ghena Hammour, Metin Yarici, Michael J. Stacey, Barry M. Seemungal, Danilo P. Mandic:
In-Ear SpO₂ for Classification of Cognitive Workload. IEEE Trans. Cogn. Dev. Syst. 15(2): 950-958 (2023) - [j214]Shengxi Li, Danilo P. Mandic:
Von Mises-Fisher Elliptical Distribution. IEEE Trans. Neural Networks Learn. Syst. 34(12): 11006-11012 (2023) - [j213]Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3614-3628 (2023) - [j212]Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic:
Convex Quaternion Optimization for Signal Processing: Theory and Applications. IEEE Trans. Signal Process. 71: 4106-4115 (2023) - [c236]Matteo Bermond, Harry J. Davies, Edoardo Occhipinti, Amir Nassibi, Danilo P. Mandic:
Reducing racial bias in SpO2 estimation: The effects of skin pigmentation. EMBC 2023: 1-5 - [c235]Harry J. Davies, Marek Zylinski, Matteo Bermond, Zhuang Liu, Morteza Khaleghimeybodi, Danilo P. Mandic:
Feasibility of Transfer Learning from Finger PPG to In-Ear PPG. EMBC 2023: 1-4 - [c234]Ghena Hammour, Giuseppe Atzori, Ciro della Monica, Kiran K. G. Ravindran, Victoria Revell, Derk-Jan Dijk, Danilo P. Mandic:
Hearables: Automatic Sleep Scoring from Single-Channel Ear-EEG in Older Adults. EMBC 2023: 1-4 - [c233]Haozhe Tian, Edoardo Occhipinti, Amir Nassibi, Danilo P. Mandic:
Hearables: Heart Rate Variability from Ear Electrocardiogram and Ear Photoplethysmogram (Ear-ECG and Ear-PPG). EMBC 2023: 1-5 - [c232]Marek Zylinski, Edoardo Occhipinti, Danilo P. Mandic:
Generalization Error of a Regression Model for Non-Invasive Blood Pressure Monitoring using a Single Photoplethysmography (PPG) Signal. EMBC 2023: i-iv - [c231]Arie N. Arya, Yao Lei Xu, Ljubisa Stankovic, Danilo P. Mandic:
Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator. ICASSP 2023: 1-5 - [c230]Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP 2023: 1-5 - [c229]Mike Thornton, Danilo P. Mandic, Tobias Reichenbach:
Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR. ICASSP 2023: 1-2 - [c228]Hongjian Xiao, Ling Li, Danilo P. Mandic:
ClassA Entropy for the Analysis of Structural Complexity of Physiological Signals. ICASSP 2023: 1-5 - [c227]Thanos Konstantinidis, Arnau Bonet Farres, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Financial News Classification Model for NLP-based Bond Portfolio Construction. DSP 2023: 1-5 - [c226]Thanos Konstantinidis, Maya Golan, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Text Mining for Sentiment Analysis in Bond Portfolio Construction. DSP 2023: 1-5 - [c225]Thanos Konstantinidis, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
A comparative study on ML-based approaches for Main Entity Detection in Financial Reports. DSP 2023: 1-5 - [c224]Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley:
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. ICML 2023: 21450-21474 - [c223]Shamahil Ibunu, Karl Moore, Clive Cheong Took, Danilo P. Mandic:
Weight sharing for single-channel LMS. SSP 2023: 185-189 - [e3]Chrisina Jayne, Danilo P. Mandic, Richard J. Duro:
International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA@IJCNN 2023, Gold Coast, Australia, 23 June 2023. Procedia Computer Science 222, Elsevier 2023 [contents] - [d1]Michael Thornton, Tobias Reichenbach, Danilo P. Mandic:
Imperial College Ear-EEG Dataset for Auditory Attention Decoding. Zenodo, 2023
- [i76]Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic, Danilo P. Mandic:
Fair and skill-diverse student group formation via constrained k-way graph partitioning. CoRR abs/2301.09984 (2023) - [i75]Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley:
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. CoRR abs/2301.12503 (2023) - [i74]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR abs/2303.13565 (2023) - [i73]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization. CoRR abs/2305.05675 (2023) - [i72]Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic:
Convex Quaternion Optimization for Signal Processing: Theory and Applications. CoRR abs/2305.06879 (2023) - [i71]Yuyang Miao, Harry J. Davies, Danilo P. Mandic:
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning. CoRR abs/2305.14062 (2023) - [i70]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR abs/2305.19183 (2023) - [i69]Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. CoRR abs/2307.00526 (2023) - [i68]Sayed Pouria Talebi, Danilo P. Mandic:
On the dynamics of multi agent nonlinear filtering and learning. CoRR abs/2309.03557 (2023) - [i67]Alexander Jenkins, Zehua Chen, Fu Siong Ng, Danilo P. Mandic:
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior. CoRR abs/2310.15742 (2023) - [i66]Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took, Yili Xia, Dongpo Xu, Min Xiang, Pauline Bourigault:
The HR-Calculus: Enabling Information Processing with Quaternion Algebra. CoRR abs/2311.16771 (2023) - [i65]Mike Thornton, Danilo P. Mandic, Tobias Reichenbach:
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks. CoRR abs/2312.09768 (2023) - 2022
- [j211]Clive Cheong Took, Danilo P. Mandic:
Weight sharing for LMS algorithms: Convolutional neural networks inspired multichannel adaptive filtering. Digit. Signal Process. 127: 103580 (2022) - [j210]Hongjian Xiao, Danilo P. Mandic:
Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems. Entropy 24(1): 26 (2022) - [j209]Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic:
Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras. Entropy 24(9): 1287 (2022) - [j208]Ales Procházka, Jindrich Charvát, Oldrich Vysata, Danilo P. Mandic:
Incremental deep learning for reflectivity data recognition in stomatology. Neural Comput. Appl. 34(9): 7081-7089 (2022) - [j207]Katarzyna Powezka, Allan Pettipher, Apit Hemakom, Tricia Adjei, Pasha Normahani, Danilo P. Mandic, Usman Jaffer:
A Pilot Study of Heart Rate Variability Synchrony as a Marker of Intraoperative Surgical Teamwork and Its Correlation to the Length of Procedure. Sensors 22(22): 8998 (2022) - [j206]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
A full second-order statistical analysis of strictly linear and widely linear estimators with MSE and Gaussian entropy criteria. Signal Process. 192: 108403 (2022) - [j205]Engin Cemal Mengüç, Min Xiang, Danilo P. Mandic:
Online censoring based complex-valued adaptive filters. Signal Process. 200: 108638 (2022) - [j204]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. 39(5): 63-70 (2022) - [j203]Harry J. Davies, Patrik Bachtiger, Ian Williams, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic:
Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD. IEEE Trans. Biomed. Eng. 69(7): 2390-2400 (2022) - [j202]Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5162-5176 (2022) - [c222]Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Umberto Aguglia, Danilo P. Mandic, Francesco Carlo Morabito:
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications. AII 2022: 391-403 - [c221]Harry J. Davies, Ian Williams, Danilo P. Mandic:
Tracking Cognitive Workload in Gaming with In-Ear $\text{SpO}_{2}$. EMBC 2022: 4913-4916 - [c220]Jacobo Roa-Vicens, Yao Lei Xu, Ricardo Silva, Danilo P. Mandic:
Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books. ICAIF 2022: 207-213 - [c219]Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic:
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP 2022: 3638-3642 - [c218]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - [c217]Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic:
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. ICASSP 2022: 5468-5472 - [c216]Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic:
Multivariate Multiscale Cosine Similarity Entropy. ICASSP 2022: 5997-6001 - [c215]Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo P. Mandic, Lei He, Sheng Zhao:
Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training. ICASSP 2022: 8432-8436 - [c214]Sayed Pouria Talebi, Stefan Werner, Yili Xia, Clive Cheong Took, Danilo P. Mandic:
A Joint Particle Filter for Quaternion-Valued $\alpha$-Stable Signals via the Characteristic Function. SAM 2022: 390-394 - [c213]Edoardo Occhipinti, Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring. IJCNN 2022: 1-6 - [c212]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Learning Systems. IJCNN 2022: 1-6 - [c211]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS 2022 - [i64]Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides:
Pearl: Parallel Evolutionary and Reinforcement Learning Library. CoRR abs/2201.09568 (2022) - [i63]Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo P. Mandic, Lei He, Sheng Zhao:
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training. CoRR abs/2202.03751 (2022) - [i62]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR abs/2205.14807 (2022) - [i61]Dongpo Xu, Jinlan Liu, Yinghua Lu, Jun Kong, Danilo P. Mandic:
Last-iterate convergence analysis of stochastic momentum methods for neural networks. CoRR abs/2205.14811 (2022) - [i60]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR abs/2207.08629 (2022) - [i59]Shengxi Li, Xinyi Zhao, Ljubisa Stankovic, Danilo P. Mandic:
Demystifying CNNs for Images by Matched Filters. CoRR abs/2210.08521 (2022) - [i58]Yuyang Miao, Yao Xu, Danilo P. Mandic:
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation. CoRR abs/2211.04988 (2022) - [i57]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR abs/2211.05581 (2022) - [i56]Harry J. Davies, Danilo P. Mandic:
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach. CoRR abs/2212.12578 (2022) - [i55]Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic:
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech. CoRR abs/2212.14518 (2022) - 2021
- [j201]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Inf. Fusion 69: 52-72 (2021) - [j200]Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic:
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. Neural Networks 139: 17-23 (2021) - [j199]Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic:
Deep neural network representation and Generative Adversarial Learning. Neural Networks 139: 199-200 (2021) - [j198]Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
A lower bound on the tensor rank based on its maximally square matrix unfolding. Signal Process. 180: 107862 (2021) - [j197]Zhe Li, Wei Deng, Zhanyu Zhu, Danilo P. Mandic:
A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signals. Signal Process. 189: 108230 (2021) - [j196]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28: 1110-1114 (2021) - [j195]Engin Cemal Mengüç, Salim Çinar, Min Xiang, Danilo P. Mandic:
Online Censoring Based Weighted-Frequency Fourier Linear Combiner for Estimation of Pathological Hand Tremors. IEEE Signal Process. Lett. 28: 1460-1464 (2021) - [j194]Mónica F. Bugallo, Anthony G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto B. Togneri:
Innovation Starts With Education [From the Guest Editors]. IEEE Signal Process. Mag. 38(3): 11-13 (2021) - [j193]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A Universal Framework for Learning the Elliptical Mixture Model. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3181-3195 (2021) - [j192]Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. IEEE Trans. Signal Process. 69: 4257-4268 (2021) - [c210]Ghena Hammour, Danilo P. Mandic:
Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification. EMBC 2021: 6889-6893 - [c209]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. EUSIPCO 2021: 1795-1799 - [c208]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF 2021: 21:1-21:8 - [c207]Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic:
Kernel Learning with Tensor Networks. ICASSP 2021: 2920-2924 - [c206]Jean P. Chereau, Bruno Scalzo, Danilo P. Mandic:
Robust PCA Through Maximum Correntropy Power Iterations. ICASSP 2021: 4985-4989 - [c205]Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic:
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP 2021: 5155-5159 - [c204]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. IJCNN 2021: 1-5 - [c203]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN 2021: 1-5 - [c202]Alejandro Cuevas, Sebastián López, Danilo P. Mandic, Felipe A. Tobar:
Bayesian autoregressive spectral estimation. LA-CCI 2021: 1-7 - [c201]Danilo P. Mandic:
Hearables: From in-ear Recording of Vital Signs and Neural Function to Doctorless Hospitals. MECO 2021: 1 - [i54]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. CoRR abs/2103.06804 (2021) - [i53]Shengxi Li, Danilo P. Mandic:
Von Mises-Fisher Elliptical Distribution. CoRR abs/2103.07948 (2021) - [i52]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR abs/2103.14998 (2021) - [i51]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR abs/2105.04983 (2021) - [i50]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. CoRR abs/2105.04991 (2021) - [i49]Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach. CoRR abs/2108.10751 (2021) - [i48]Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial. CoRR abs/2108.11663 (2021) - [i47]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR abs/2109.00626 (2021) - [i46]Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data. CoRR abs/2109.06699 (2021) - [i45]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR abs/2110.01325 (2021) - [i44]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
HOTTBOX: Higher Order Tensor ToolBOX. CoRR abs/2111.15662 (2021) - 2020
- [j191]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107: 102802 (2020) - [j190]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. Found. Trends Mach. Learn. 13(1): 1-157 (2020) - [j189]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part II: Signals on Graphs. Found. Trends Mach. Learn. 13(2-3): 158-331 (2020) - [j188]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. Found. Trends Mach. Learn. 13(4): 332-530 (2020) - [j187]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [j186]Harry J. Davies, Ian Williams, Nicholas S. Peters, Danilo P. Mandic:
In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation. Sensors 20(17): 4879 (2020) - [j185]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020) - [j184]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27: 1884-1888 (2020) - [j183]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37(1): 152-162 (2020) - [j182]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Quaternion-Valued Distributed Filtering and Control. IEEE Trans. Autom. Control. 65(10): 4246-4257 (2020) - [j181]Takashi Nakamura, Yousef D. Alqurashi, Mary J. Morrell, Danilo P. Mandic:
Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor. IEEE Trans. Biomed. Eng. 67(1): 203-212 (2020) - [j180]Xing Zhang, Bruno Scalzo Dees, Chunguo Li, Yili Xia, Luxi Yang, Danilo P. Mandic:
Analysis of Least Stochastic Entropy Adaptive Filters for Noncircular Gaussian Signals. IEEE Trans. Circuits Syst. II Express Briefs 67-II(7): 1364-1368 (2020) - [j179]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. 67-II(12): 3557-3561 (2020) - [j178]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [j177]Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4622-4636 (2020) - [j176]Min Xiang, Yili Xia, Danilo P. Mandic:
Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters. IEEE Trans. Signal Process. 68: 65-80 (2020) - [j175]Engin Cemal Mengüç, Nurettin Acir, Danilo P. Mandic:
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. IEEE Trans. Signal Process. 68: 5914-5922 (2020) - [j174]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
Complex Properness Inspired Blind Adaptive Frequency-Dependent I/Q Imbalance Compensation for Wideband Direct-Conversion Receivers. IEEE Trans. Wirel. Commun. 19(9): 5982-5992 (2020) - [c200]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. AAAI 2020: 4658-4666 - [c199]Davide Bacciu, Danilo P. Mandic:
Tensor Decompositions in Deep Learning. ESANN 2020: 441-450 - [c198]Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic, Milos Brajovic, Bruno Scalzo Dees, Anthony G. Constantinides:
A Low-Dimensionality Method for Data-Driven Graph Learning. ICASSP 2020: 5340-5344 - [c197]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. ICASSP 2020: 8454-8458 - [c196]Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic:
A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation. IJCNN 2020: 1-6 - [c195]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. NeurIPS 2020 - [c194]Zhe Li, Wei Deng, Wenjiang Pei, Yili Xia, Chao Zhu, Danilo P. Mandic:
SINR Analysis Of Mimo Systems With Widely Linear MMSE Receivers For The Reception Of Real-Valued Constellations. PIMRC 2020: 1-5 - [c193]Hao Cheng, Yili Xia, Yongming Huang, Luxi Yang, Zixiang Xiong, Danilo P. Mandic:
Improperness Based SINR Analysis of GFDM Systems Under Joint Tx and Rx I/Q Imbalance. WCNC 2020: 1-6 - [c192]Hao Cheng, Yili Xia, Zhaohua Lu, Yongming Huang, Wenjiang Pei, Luxi Yang, Danilo P. Mandic:
Design of Improper Constellations for Optimal Data Rates in Downlink NOMA Systems. WCSP 2020: 436-441 - [i43]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides:
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. CoRR abs/2001.00426 (2020) - [i42]Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. CoRR abs/2001.10109 (2020) - [i41]Davide Bacciu, Danilo P. Mandic:
Tensor Decompositions in Deep Learning. CoRR abs/2002.11835 (2020) - [i40]Thiernithi Variddhisaï, Danilo P. Mandic:
Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models. CoRR abs/2003.05729 (2020) - [i39]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. CoRR abs/2006.08413 (2020) - [i38]Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. CoRR abs/2008.04145 (2020) - [i37]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks. CoRR abs/2009.08727 (2020) - [i36]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Multi-Graph Tensor Networks. CoRR abs/2010.13209 (2020) - [i35]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals. CoRR abs/2012.06104 (2020)
2010 – 2019
- 2019
- [j173]Yili Xia, Bin Zhang, Wenjiang Pei, Danilo P. Mandic:
Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion. IEEE Access 7: 114261-114270 (2019) - [j172]Sofie Therese Hansen, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen:
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Comput. Intell. Neurosci. 2019: 5618303:1-5618303:15 (2019) - [j171]Zhe Li, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers. Signal Process. 158: 4-14 (2019) - [j170]Alexander E. Stott, Bruno Scalzo Dees, Ilia Kisil, Danilo P. Mandic:
A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression. Signal Process. 160: 316-327 (2019) - [j169]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments. IEEE Signal Process. Lett. 26(9): 1315-1319 (2019) - [j168]Min Xiang, Yili Xia, Danilo P. Mandic:
Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation. IEEE Signal Process. Lett. 26(9): 1344-1348 (2019) - [j167]Danilo P. Mandic, Sithan Kanna, Yili Xia, Ahmad Moniri, Adrià Junyent-Ferré, Anthony G. Constantinides:
A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes]. IEEE Signal Process. Mag. 36(2): 110-116 (2019) - [j166]Sithan Kanna, Ahmad Moniri, Yili Xia, Anthony G. Constantinides, Danilo P. Mandic:
A Data Analytics Perspective of Power Grid Analysis-Part 2: Teaching Old Power Systems New Tricks [Lecture Notes]. IEEE Signal Process. Mag. 36(3): 110-117 (2019) - [j165]Danilo P. Mandic, Petar M. Djuric, Andrzej Cichocki, Clive Cheong Took, Saeid Sanei, Lajos Hanzo:
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]. IEEE Signal Process. Mag. 36(5): 127-134 (2019) - [j164]Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo:
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36(5): 135-147 (2019) - [j163]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilia Kisil, Ervin Sejdic, Anthony G. Constantinides:
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]. IEEE Signal Process. Mag. 36(6): 133-145 (2019) - [j162]Min Xiang, Bruno Scalzo Dees, Danilo P. Mandic:
Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach. IEEE Trans. Neural Networks Learn. Syst. 30(1): 72-84 (2019) - [j161]Danilo P. Mandic, Clive Cheong Took:
Reply to "Comments on 'The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes'". IEEE Trans. Signal Process. 67(7): 1959 (2019) - [j160]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
Analysis of the Unconstrained Frequency-Domain Block LMS for Second-Order Noncircular Inputs. IEEE Trans. Signal Process. 67(15): 3970-3984 (2019) - [j159]Tohru Nitta, Masaki Kobayashi, Danilo P. Mandic:
Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry. IEEE Trans. Signal Process. 67(15): 3985-3994 (2019) - [j158]Yili Xia, Song Tao, Zhe Li, Min Xiang, Wenjiang Pei, Danilo P. Mandic:
Full Mean Square Performance Bounds on Quaternion Estimators for Improper Data. IEEE Trans. Signal Process. 67(15): 4093-4106 (2019) - [j157]Hao Cheng, Yili Xia, Yongming Huang, Luxi Yang, Danilo P. Mandic:
Joint Channel Estimation and Tx/Rx I/Q Imbalance Compensation for GFDM Systems. IEEE Trans. Wirel. Commun. 18(2): 1304-1317 (2019) - [c191]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. AAAI 2019: 9151-9158 - [c190]Takashi Nakamura, Harry J. Davies, Danilo P. Mandic:
Scalable automatic sleep staging in the era of Big Data. EMBC 2019: 2265-2268 - [c189]Harry J. Davies, Takashi Nakamura, Danilo P. Mandic:
A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring. EMBC 2019: 3641-3644 - [c188]Ghena Hammour, Metin Yarici, Wilhelm von Rosenberg, Danilo P. Mandic:
Hearables: Feasibility and Validation of In-Ear Electrocardiogram. EMBC 2019: 5777-5780 - [c187]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. ICANN (1) 2019: 339-350 - [c186]Sayed Pouria Talebi, Stefan Werner, Shengxi Li, Danilo P. Mandic:
Tracking Dynamic Systems in α-Stable Environments. ICASSP 2019: 4853-4857 - [c185]Thiernithi Variddhisaï, Min Xiang, Scott C. Douglas, Danilo P. Mandic:
Quaternion-Valued Adaptive Filtering via Nesterov's Extrapolation. ICASSP 2019: 4868-4872 - [c184]Xing Zhang, Bruno Scalzo Dees, Chunguo Li, Yili Xia, Luxi Yang, Danilo P. Mandic:
Simultaneous DFT and IDFT through Widely Linear CLMS. ICASSP 2019: 7750-7754 - [c183]Ahmad Moniri, Anthony G. Constantinides, Danilo P. Mandic:
Smart DSP for a Smarter Power Grid: Teaching Power System Analysis through Signal Processing. ICASSP 2019: 7883-7887 - [c182]Giuseppe Giovanni Calvi, Vladimir Lucic, Danilo P. Mandic:
Support Tensor Machine for Financial Forecasting. ICASSP 2019: 8152-8156 - [c181]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
Tensor Decompositions and Practical Applications: A Hands-on Tutorial. INNSBDDL (Tutorials) 2019: 69-97 - [i34]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. CoRR abs/1903.02014 (2019) - [i33]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - [i32]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. CoRR abs/1903.11136 (2019) - [i31]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. CoRR abs/1904.00403 (2019) - [i30]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
A general solver to the elliptical mixture model through an approximate Wasserstein manifold. CoRR abs/1906.03700 (2019) - [i29]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo Dees, Tony Constantinides:
Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering. CoRR abs/1907.03467 (2019) - [i28]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. CoRR abs/1907.03471 (2019) - [i27]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A Unifying Analysis of Shift Operators on a Graph. CoRR abs/1908.01596 (2019) - [i26]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
Unitary Shift Operators on a Graph. CoRR abs/1909.05767 (2019) - [i25]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides:
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs. CoRR abs/1909.10325 (2019) - [i24]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. CoRR abs/1910.05561 (2019) - [i23]Jean P. Chereau, Bruno Scalzo Dees, Danilo P. Mandic:
Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations. CoRR abs/1910.11374 (2019) - [i22]Bruno Scalzo Dees, Danilo P. Mandic:
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables. CoRR abs/1911.02915 (2019) - [i21]Bruno Scalzo Dees, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory and Metro Traffic Modelling. CoRR abs/1912.05964 (2019) - 2018
- [j156]David Looney, Tricia Adjei, Danilo P. Mandic:
A Novel Multivariate Sample Entropy Algorithm for Modeling Time Series Synchronization. Entropy 20(2): 82 (2018) - [j155]Mihaela A. M. Constantinescu, Su-Lin Lee, Sabine Ernst, Apit Hemakom, Danilo P. Mandic, Guang-Zhong Yang:
Probabilistic guidance for catheter tip motion in cardiac ablation procedures. Medical Image Anal. 47: 1-14 (2018) - [j154]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic:
Time-frequency decomposition of multivariate multicomponent signals. Signal Process. 142: 468-479 (2018) - [j153]Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals. Signal Process. 144: 214-225 (2018) - [j152]Min Xiang, Shirin Enshaeifar, Alexander E. Stott, Clive Cheong Took, Yili Xia, Sithan Kanna, Danilo P. Mandic:
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing. Signal Process. 148: 193-204 (2018) - [j151]Yili Xia, Scott C. Douglas, Danilo P. Mandic:
A perspective on CLMS as a deficient length augmented CLMS: Dealing with second order noncircularity. Signal Process. 149: 236-245 (2018) - [j150]Alexander E. Stott, Sithan Kanna, Danilo P. Mandic:
Widely linear complex partial least squares for latent subspace regression. Signal Process. 152: 350-362 (2018) - [j149]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Distributed Adaptive Filtering of α-Stable Signals. IEEE Signal Process. Lett. 25(10): 1450-1454 (2018) - [j148]Sithan Kanna, Wilhelm von Rosenberg, Valentin Goverdovsky, Anthony G. Constantinides, Danilo P. Mandic:
Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education]. IEEE Signal Process. Mag. 35(3): 110-130 (2018) - [j147]Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic:
In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication. IEEE Trans. Inf. Forensics Secur. 13(3): 648-661 (2018) - [j146]Yili Xia, Sithan Kanna, Danilo P. Mandic:
Maximum Likelihood Parameter Estimation of Unbalanced Three-Phase Power Signals. IEEE Trans. Instrum. Meas. 67(3): 569-581 (2018) - [j145]Yili Xia, Danilo P. Mandic:
Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data. IEEE Trans. Signal Process. 66(2): 507-514 (2018) - [j144]Min Xiang, Sithan Kanna, Danilo P. Mandic:
Performance Analysis of Quaternion-Valued Adaptive Filters in Nonstationary Environments. IEEE Trans. Signal Process. 66(6): 1566-1579 (2018) - [j143]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Danilo P. Mandic:
An Augmented Nonlinear LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers. IEEE Trans. Signal Process. 66(15): 4065-4078 (2018) - [j142]Hao Cheng, Yili Xia, Yongming Huang, Luxi Yang, Danilo P. Mandic:
A Normalized Complex LMS Based Blind I/Q Imbalance Compensator for GFDM Receivers and Its Full Second-Order Performance Analysis. IEEE Trans. Signal Process. 66(17): 4701-4712 (2018) - [c180]Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. AAAI 2018: 3984-3991 - [c179]Athanasios Konstantinidis, Bruno Scalzo Dees, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Text Mining - A Key Lynchpin in the Investment Process: A Survey. APPIS 2018: 181-193 - [c178]Giuseppe Giovanni Calvi, Ilia Kisil, Danilo P. Mandic:
Feature Fusion via Tensor Network Summation. EUSIPCO 2018: 2623-2627 - [c177]Ilia Kisil, Ahmad Moniri, Danilo P. Mandic:
Tensor Ensemble Learning for Multidimensional Data. GlobalSIP 2018: 1358-1362 - [c176]Apit Hemakom, Valentin Goverdovsky, Danilo P. Mandic:
EAR-EEG for Detecting Inter-Brain Synchronisation in Continuous Cooperative Multi-Person Scenarios. ICASSP 2018: 911-915 - [c175]Bruno Scalzo Dees, Scott C. Douglas, Danilo P. Mandic:
Complementary Complex-Valued Spectrum for Real-Valued Data: Real Time Estimation of the Panorama Through Circularity-Preserving Dft. ICASSP 2018: 3999-4003 - [c174]Scott C. Douglas, Danilo P. Mandic:
Affine-Projection Least-Mean-Magnitude-Phase Algorithms Using a Posteriori Updates. ICASSP 2018: 4154-4158 - [c173]Zhe Li, Wenjiang Pei, Yili Xia, Kai Wang, Danilo P. Mandic:
Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers. ICASSP 2018: 4329-4333 - [c172]Bruno Scalzo Dees, Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Correntropy-Based Adaptive Filtering of Noncircular Complex Data. ICASSP 2018: 4339-4343 - [c171]Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic:
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP 2018: 6299-6303 - [c170]Zhe Li, Wei Deng, Wenjiang Pei, Yili Xia, Danilo P. Mandic:
Refreshing Digital Communications Curriculum with RFID Technology: A Participatory Approach. DSP 2018: 1-5 - [c169]Ahmad Moniri, Ilia Kisil, Anthony G. Constantinides, Danilo P. Mandic:
Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm. DSP 2018: 1-4 - [c168]Takashi Nakamura, Yousef D. Alqurashi, Mary J. Morrell, Danilo P. Mandic:
Automatic detection of drowsiness using in-ear EEG. IJCNN 2018: 1-6 - [c167]Milos Brajovic, Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic:
Additive noise influence on the bivariate two-component signal decomposition. MECO 2018: 1-4 - [i20]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A universal framework for learning based on the elliptical mixture model (EMM). CoRR abs/1805.08045 (2018) - [i19]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. CoRR abs/1805.08468 (2018) - [i18]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - [i17]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. CoRR abs/1809.02288 (2018) - 2017
- [j141]Mosabber Uddin Ahmed, Theerasak Chanwimalueang, Sudhin Thayyil, Danilo P. Mandic:
A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis. Entropy 19(1): 2 (2017) - [j140]Theerasak Chanwimalueang, Danilo P. Mandic:
Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems. Entropy 19(12): 652 (2017) - [j139]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j138]Naveed ur Rehman, Syed Zain Abbas, Anum Asif, Anum Javed, Khuram Naveed, Danilo P. Mandic:
Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Process. 131: 220-234 (2017) - [j137]Min Xiang, Clive Cheong Took, Danilo P. Mandic:
Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing. Signal Process. 136: 81-91 (2017) - [j136]Yili Xia, Danilo P. Mandic:
Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals. IEEE Signal Process. Lett. 24(9): 1413-1417 (2017) - [j135]Sayed Pouria Talebi, Danilo P. Mandic:
Distributed Particle Filtering of α-Stable Signals. IEEE Signal Process. Lett. 24(12): 1862-1866 (2017) - [j134]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Yongming Huang, Danilo P. Mandic:
Noncircular Measurement and Mitigation of I/Q Imbalance for OFDM-Based WLAN Transmitters. IEEE Trans. Instrum. Meas. 66(3): 383-393 (2017) - [j133]Yili Xia, Danilo P. Mandic:
A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs. IEEE Trans. Signal Process. 65(21): 5578-5590 (2017) - [c166]Alexander E. Stott, Sithan Kanna, Danilo P. Mandic, William T. Pike:
An online NIPALS algorithm for Partial Least Squares. ICASSP 2017: 4177-4181 - [c165]Scott C. Douglas, Danilo P. Mandic:
Single-channel Wiener filtering of deterministic signals in stochastic noise using the panorama. ICASSP 2017: 4182-4186 - [c164]Sayed Pouria Talebi, Sithan Kanna, Yili Xia, Danilo P. Mandic:
Cost-effective diffusion Kalman filtering with implicit measurement exchanges. ICASSP 2017: 4411-4415 - [c163]Sithan Kanna, Danilo P. Mandic:
Stability of distributed extended Kalman filters. DSP 2017: 1-5 - [c162]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Danilo P. Mandic:
A DFT enhanced complex LMS for digital adaptive spur cancellation. DSP 2017: 1-5 - [c161]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
Two-component bivariate signal decomposition based on time-frequency analysis. DSP 2017: 1-5 - [c160]Thiernithi Variddhisaï, Danilo P. Mandic:
On an RLS-like LMS adaptive filter. DSP 2017: 1-5 - [c159]Yili Xia, Lulu Qiao, Qi Yang, Wenjiang Pei, Danilo P. Mandic:
Widely linear adaptive frequency estimation for unbalanced three-phase power systems with multiple noisy measurements. DSP 2017: 1-5 - [c158]Min Xiang, Scott C. Douglas, Danilo P. Mandic:
The quaternion least mean magnitude phase adaptive filtering algorithm. DSP 2017: 1-5 - [c157]Takashi Nakamura, Tricia Adjei, Yousef Alqurashi, David Looney, Mary J. Morrell, Danilo P. Mandic:
Complexity science for sleep stage classification from EEG. IJCNN 2017: 4387-4394 - [i16]Thiernithi Variddhisaï, Danilo P. Mandic:
Online Multilinear Dictionary Learning for Sequential Compressive Sensing. CoRR abs/1703.02492 (2017) - [i15]Min Xiang, Shirin Enshaeifar, Alexander Stott, Clive Cheong Took, Yili Xia, Danilo P. Mandic:
Diagonalisation of covariance matrices in quaternion widely linear signal processing. CoRR abs/1705.00058 (2017) - [i14]Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic:
In-ear EEG biometrics for feasible and readily collectable real-world person authentication. CoRR abs/1705.03742 (2017) - [i13]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i12]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Danilo P. Mandic:
An Augmented Nonlinear Complex LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers. CoRR abs/1710.04381 (2017) - [i11]Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. CoRR abs/1711.08171 (2017) - 2016
- [j132]Youngjoo Kim, Jiwoo Ryu, Ko Keun Kim, Clive Cheong Took, Danilo P. Mandic, Cheolsoo Park:
Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns. Comput. Intell. Neurosci. 2016: 1489692:1-1489692:13 (2016) - [j131]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j130]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach. Int. J. Neural Syst. 26(2): 1650005:1-1650005:15 (2016) - [j129]Ali N. Akansu, Dmitry Malioutov, Daniel P. Palomar, Emmanuelle Jay, Danilo P. Mandic:
Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading. IEEE J. Sel. Top. Signal Process. 10(6): 979-981 (2016) - [j128]Apit Hemakom, Theerasak Chanwimalueang, Alicia Carrion, Lisa Aufegger, Anthony G. Constantinides, Danilo P. Mandic:
Financial Stress Through Complexity Science. IEEE J. Sel. Top. Signal Process. 10(6): 1112-1126 (2016) - [j127]Sithan Kanna, Danilo P. Mandic:
Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies. IEEE Signal Process. Lett. 23(5): 722-726 (2016) - [j126]Dongpo Xu, Yili Xia, Danilo P. Mandic:
Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 27(2): 249-261 (2016) - [j125]Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic:
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2426-2439 (2016) - [j124]Huisheng Zhang, Danilo P. Mandic:
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms? IEEE Trans. Neural Networks Learn. Syst. 27(12): 2730-2735 (2016) - [j123]Sayed Pouria Talebi, Sithan Kanna, Danilo P. Mandic:
A Distributed Quaternion Kalman Filter With Applications to Smart Grid and Target Tracking. IEEE Trans. Signal Inf. Process. over Networks 2(4): 477-488 (2016) - [c156]Zhiqiang Zhang, Huihui Li, Danilo P. Mandic:
Blind source separation and artefact cancellation for single channel bioelectrical signal. BSN 2016: 177-182 - [c155]Ehsan Yavari, Ashikur Rahman, Jia Xu, Danilo P. Mandic, Olga Boric-Lubecke:
Synchrosqueezing an effective method for analyzing Doppler radar physiological signals. EMBC 2016: 263-266 - [c154]Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic:
Quantifying cooperation in choir singing: Respiratory and cardiac synchronisation. ICASSP 2016: 719-723 - [c153]Theerasak Chanwimalueang, Lisa Aufegger, Wilhelm von Rosenberg, Danilo P. Mandic:
Modelling stress in public speaking: Evolution of stress levels during conference presentations. ICASSP 2016: 814-818 - [c152]Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei, Danilo P. Mandic:
Novel quaternion matrix factorisations. ICASSP 2016: 3946-3950 - [c151]Min Xiang, Sithan Kanna, Scott C. Douglas, Danilo P. Mandic:
Performance advantage of quaternion widely linear estimation: An approximate uncorrelating transform approach. ICASSP 2016: 4348-4352 - [c150]Scott C. Douglas, Danilo P. Mandic:
Stability analysis of the least-mean-magnitude-phase algorithm. ICASSP 2016: 4935-4939 - [c149]Sayed Pouria Talebi, Sithan Kanna, Yili Xia, Danilo P. Mandic:
A distributed quaternion Kalman filter with applications to fly-by-wire systems. DSP 2016: 30-34 - [c148]Alicia Carrion Garcia, Theerasak Chanwimalueang, Giuseppe Giovanni Calvi, Apit Hemakom, Ramón Miralles Ricós, Danilo P. Mandic:
Modelling economic stress through financial systemic balance index. DSP 2016: 565-569 - [c147]Yili Xia, Kai Wang, Wenjiang Pei, Zoran Blazic, Danilo P. Mandic:
A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems. IJCNN 2016: 2762-2766 - [i10]Sayed Pouria Talebi, Danilo P. Mandic:
A Quaternion Frequency and Phasor Estimator for Three-Phase Power Distribution Networks. CoRR abs/1603.07653 (2016) - [i9]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - [i8]Anh Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, Gheorghe Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition. CoRR abs/1609.09230 (2016) - 2015
- [j122]Jonas Duun-Henriksen, Troels Wesenberg Kjaer, David Looney, Mary Doreen Atkins, Jens A. Sørensen, Martin Rose, Danilo P. Mandic, Rasmus Elsborg Madsen, Claus Bogh Juhl:
EEG Signal Quality of a Subcutaneous Recording System Compared to Standard Surface Electrodes. J. Sensors 2015: 341208:1-341208:9 (2015) - [j121]Dongpo Xu, Huisheng Zhang, Danilo P. Mandic:
Convergence analysis of an augmented algorithm for fully complex-valued neural networks. Neural Networks 69: 44-50 (2015) - [j120]Naveed ur Rehman, Shoaib Ehsan, Syed Muhammad Umer Abdullah, Muhammad Jehanzaib Akhtar, Danilo P. Mandic, Klaus D. McDonald-Maier:
Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition. Sensors 15(5): 10923-10947 (2015) - [j119]Alireza Ahrabian, David Looney, Ljubisa Stankovic, Danilo P. Mandic:
Synchrosqueezing-based time-frequency analysis of multivariate data. Signal Process. 106: 331-341 (2015) - [j118]Alireza Ahrabian, Danilo P. Mandic:
Selective Time-Frequency Reassignment Based on Synchrosqueezing. IEEE Signal Process. Lett. 22(11): 2039-2043 (2015) - [j117]Felipe A. Tobar, Danilo P. Mandic:
Design of Positive-Definite Quaternion Kernels. IEEE Signal Process. Lett. 22(11): 2117-2121 (2015) - [j116]Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan:
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2): 145-163 (2015) - [j115]Danilo P. Mandic, Sithan Kanna, Anthony G. Constantinides:
On the Intrinsic Relationship Between the Least Mean Square and Kalman Filters [Lecture Notes]. IEEE Signal Process. Mag. 32(6): 117-122 (2015) - [j114]Syed Muhammad Umer Abdullah, Naveed ur Rehman, Muhammad Murtaza Khan, Danilo P. Mandic:
A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening. IEEE Trans. Geosci. Remote. Sens. 53(7): 3974-3984 (2015) - [j113]Yili Xia, Zoran Blazic, Danilo P. Mandic:
Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems. IEEE Trans. Instrum. Meas. 64(3): 638-648 (2015) - [j112]Clive Cheong Took, Scott C. Douglas, Danilo P. Mandic:
Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform. IEEE Trans. Neural Networks Learn. Syst. 26(3): 500-509 (2015) - [j111]Yili Xia, Cyrus Jahanchahi, Danilo P. Mandic:
Quaternion-Valued Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 26(4): 663-673 (2015) - [j110]Yili Xia, Cyrus Jahanchahi, Tohru Nitta, Danilo P. Mandic:
Performance Bounds of Quaternion Estimators. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3287-3292 (2015) - [j109]Sithan Kanna, Dahir H. Dini, Yili Xia, S. Y. Hui, Danilo P. Mandic:
Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks. IEEE Trans. Signal Inf. Process. over Networks 1(1): 45-57 (2015) - [j108]Dongpo Xu, Danilo P. Mandic:
The Theory of Quaternion Matrix Derivatives. IEEE Trans. Signal Process. 63(6): 1543-1556 (2015) - [j107]Alireza Ahrabian, Danilo P. Mandic:
A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing. IEEE Trans. Signal Process. 63(9): 2196-2208 (2015) - [j106]Felipe A. Tobar, Petar M. Djuric, Danilo P. Mandic:
Unsupervised State-Space Modeling Using Reproducing Kernels. IEEE Trans. Signal Process. 63(19): 5210-5221 (2015) - [c146]Wilhelm von Rosenberg, Theerasak Chanwimalueang, Valentin Goverdovsky, Danilo P. Mandic:
Smart helmet: Monitoring brain, cardiac and respiratory activity. EMBC 2015: 1829-1832 - [c145]Yu-Te Wang, Masaki Nakanishi, Simon Lind Kappel, Preben Kidmose, Danilo P. Mandic, Yijun Wang, Chung-Kuan Cheng, Tzyy-Ping Jung:
Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG. EMBC 2015: 2271-2274 - [c144]Wilhelm von Rosenberg, Theerasak Chanwimalueang, David Looney, Danilo P. Mandic:
Vital signs from inside a helmet: A multichannel face-lead study. ICASSP 2015: 982-986 - [c143]Guoxu Zhou, Andrzej Cichocki, Danilo P. Mandic:
Common components analysis via linked blind source separation. ICASSP 2015: 2150-2154 - [c142]Thiannithi Thanthawaritthisai, Felipe A. Tobar, Anthony G. Constantinides, Danilo P. Mandic:
The widely linear quaternion recursive total least squares. ICASSP 2015: 3357-3361 - [c141]Danilo P. Mandic, Sithan Kanna, Scott C. Douglas:
Mean square analysis of the CLMS and ACLMS for non-circular signals: The approximate uncorrelating transform approach. ICASSP 2015: 3531-3535 - [c140]Apit Hemakom, Alireza Ahrabian, David Looney, Naveed ur Rehman, Danilo P. Mandic:
Nonuniformly sampled trivariate empirical mode decomposition. ICASSP 2015: 3691-3695 - [c139]Sayed Pouria Talebi, Danilo P. Mandic:
A quaternion frequency estimator for three-phase power systems. ICASSP 2015: 3956-3960 - [c138]Theerasak Chanwimalueang, Wilhelm von Rosenberg, Danilo P. Mandic:
Enabling R-peak detection in wearable ECG: Combining matched filtering and Hilbert transform. DSP 2015: 134-138 - [c137]Sayed Pouria Talebi, Sithan Kanna, Danilo P. Mandic:
Real-time estimation of quaternion impropriety. DSP 2015: 557-561 - [c136]Sayed Pouria Talebi, Sithan Kanna, Danilo P. Mandic:
A non-linear state space frequency estimator for three-phase power systems. IJCNN 2015: 1-7 - [c135]Sithan Kanna, Min Xiang, Danilo P. Mandic:
Real-time detection of rectilinear sources for wireless communication signals. ISWCS 2015: 541-545 - [c134]Faisal Farooq, David Looney, Danilo P. Mandic, Preben Kidmose:
EarEEG based visual P300 Brain-Computer Interface. NER 2015: 98-101 - 2014
- [j105]Min-Sung Koh, Danilo P. Mandic, Anthony G. Constantinides:
Theory of Digital filter banks Realized via multivariate Empirical mode Decomposition. Adv. Data Sci. Adapt. Anal. 6(1) (2014) - [j104]Yih-Fang Huang, Shalinee Kishore, Visa Koivunen, Danilo P. Mandic, Lang Tong:
Introduction to the Issue on Signal Processing in Smart Electric Power Grid. IEEE J. Sel. Top. Signal Process. 8(6): 1019-1021 (2014) - [j103]Cyrus Jahanchahi, Sithan Kanna, Danilo P. Mandic:
Complex dual channel estimation: Cost effective widely linear adaptive filtering. Signal Process. 104: 33-42 (2014) - [j102]Naveed ur Rehman, Muhammad Waqas Safdar, Ubaid ur Rehman, Danilo P. Mandic:
Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Process. Lett. 21(7): 857-861 (2014) - [j101]Felipe A. Tobar, Danilo P. Mandic:
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions. IEEE Trans. Inf. Theory 60(9): 5736-5749 (2014) - [j100]Bukhari Che Ujang, Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes. IEEE Trans. Neural Networks Learn. Syst. 25(1): 172-182 (2014) - [j99]Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic:
Multikernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25(2): 265-277 (2014) - [j98]Cyrus Jahanchahi, Danilo P. Mandic:
A Class of Quaternion Kalman Filters. IEEE Trans. Neural Networks Learn. Syst. 25(3): 533-544 (2014) - [j97]Akira Hirose, Igor N. Aizenberg, Danilo P. Mandic:
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1597-1599 (2014) - [c133]Yili Xia, Kai Wang, Wenjiang Pei, Danilo P. Mandic:
A balancing voltage transformation for robust frequency estimation in unbalanced power systems. APSIPA 2014: 1-6 - [c132]Felipe A. Tobar, Marcos E. Orchard, Danilo P. Mandic, Anthony G. Constantinides:
Estimation of financial indices volatility using a model with time-varying parameters. CIFEr 2014: 318-324 - [c131]Ling Li, Adrien Witon, Samuele Marcora, Howard Bowman, Danilo P. Mandic:
EEG-based brain connectivity analysis of states of unawareness. EMBC 2014: 1002-1005 - [c130]Simon Lind Kappel, David Looney, Danilo P. Mandic, Preben Kidmose:
A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts. EMBC 2014: 1686-1690 - [c129]Valentin Goverdovsky, David Looney, Preben Kidmose, Danilo P. Mandic:
Multimodal physiological sensor for motion artefact rejection. EMBC 2014: 2753-2756 - [c128]Scott C. Douglas, Danilo P. Mandic:
Autoconvolution and panorama: Augmenting second-order signal analysis. ICASSP 2014: 384-388 - [c127]Alireza Ahrabian, Danilo P. Mandic:
Estimation of phase synchrony using the synchrosqueezing transform. ICASSP 2014: 759-763 - [c126]David Looney, Valentin Goverdovsky, Preben Kidmose, Danilo P. Mandic:
Subspace denoising of EEG artefacts via multivariate EMD. ICASSP 2014: 4688-4692 - [c125]Sayed Pouria Talebi, Dongpo Xu, Anthony Kuh, Danilo P. Mandic:
A Quaternion Least Mean Phase adaptive estimator. ICASSP 2014: 6419-6423 - [c124]Felipe A. Tobar, Danilo P. Mandic:
A particle filtering based kernel HMM predictor. ICASSP 2014: 7969-7973 - [c123]Cyrus Jahanchahi, Sithan Kanna, Danilo P. Mandic:
A theoretical bound for the performance advantage of quaternion widely linear estimation. DSP 2014: 254-258 - [c122]Clive Cheong Took, Scott C. Douglas, Danilo P. Mandic:
The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms. SAM 2014: 73-76 - [c121]Sithan Kanna, Scott C. Douglas, Danilo P. Mandic:
A real time tracker of complex circularity. SAM 2014: 129-132 - [c120]Yili Xia, Cyrus Jahanchahi, Dongpo Xu, Danilo P. Mandic:
The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems. IJCNN 2014: 3395-3401 - [c119]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. MLSP 2014: 1-5 - [p1]David Looney, Preben Kidmose, Mary J. Morrell, Danilo P. Mandic:
Ear-EEG: Continuous Brain Monitoring. Brain-Computer Interface Research (3) 2014: 63-71 - [i7]Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer:
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR abs/1403.4462 (2014) - [i6]Dongpo Xu, Danilo P. Mandic:
Quaternion Gradient and Hessian. CoRR abs/1406.3587 (2014) - [i5]Sithan Kanna, Dahir H. Dini, Yili Xia, Ron Shu-Yuen Hui, Danilo P. Mandic:
Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems. CoRR abs/1410.0617 (2014) - 2013
- [j96]Naveed ur Rehman, Cheolsoo Park, Norden E. Huang, Danilo P. Mandic:
Emd via mEMD: multivariate noise-Aided Computation of Standard EMD. Adv. Data Sci. Adapt. Anal. 5(2) (2013) - [j95]Bo Peng, Wei Liu, Danilo P. Mandic:
Design of oversampled generalised discrete Fourier transform filter banks for application to subband-based blind source separation. IET Signal Process. 7(9): 843-853 (2013) - [j94]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j93]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
A class of quaternion valued affine projection algorithms. Signal Process. 93(7): 1712-1723 (2013) - [j92]Jesús Navarro-Moreno, Rosa M. Fernández-Alcalá, Clive Cheong Took, Danilo P. Mandic:
Prediction of wide-sense stationary quaternion random signals. Signal Process. 93(9): 2573-2580 (2013) - [j91]Alireza Ahrabian, Naveed ur Rehman, Danilo P. Mandic:
Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals. IEEE Signal Process. Lett. 20(3): 245-248 (2013) - [j90]Pablo Aguilera, Sergio Cruces, Iván Durán-Díaz, Auxiliadora Sarmiento, Danilo P. Mandic:
Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm. IEEE Signal Process. Lett. 20(7): 709-712 (2013) - [j89]Danilo P. Mandic, Naveed ur Rehman, Zhaohua Wu, Norden E. Huang:
Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis. IEEE Signal Process. Mag. 30(6): 74-86 (2013) - [j88]Preben Kidmose, David Looney, Michael Ungstrup, Mike Lind Rank, Danilo P. Mandic:
A Study of Evoked Potentials From Ear-EEG. IEEE Trans. Biomed. Eng. 60(10): 2824-2830 (2013) - [j87]Dahir H. Dini, Danilo P. Mandic:
Widely Linear Modeling for Frequency Estimation in Unbalanced Three-Phase Power Systems. IEEE Trans. Instrum. Meas. 62(2): 353-363 (2013) - [j86]Yili Xia, Danilo P. Mandic:
Augmented MVDR Spectrum-Based Frequency Estimation for Unbalanced Power Systems. IEEE Trans. Instrum. Meas. 62(7): 1917-1926 (2013) - [j85]Dahir H. Dini, Petar M. Djuric, Danilo P. Mandic:
The Augmented Complex Particle Filter. IEEE Trans. Signal Process. 61(17): 4341-4346 (2013) - [c118]Preben Kidmose, David Looney, L. Jochumsen, Danilo P. Mandic:
Ear-EEG from generic earpieces: A feasibility study. EMBC 2013: 543-546 - [c117]Tomasz M. Rutkowski, Zbigniew R. Struzik, Danilo P. Mandic:
EEG epileptic seizures separation with multivariate empirical mode decomposition for diagnostic purposes. EMBC 2013: 7128-7131 - [c116]Cyrus Jahanchahi, Danilo P. Mandic:
An adaptive diffusion quaternion LMS algorithm for distributed networks of 3D and 4D vector sensors. EUSIPCO 2013: 1-5 - [c115]Clive Cheong Took, Scott C. Douglas, Danilo P. Mandic:
On intraference and its implications in complex-valued signal processing. ICASSP 2013: 3934-3937 - [c114]Felipe A. Tobar, Danilo P. Mandic:
The quaternion kernel least squares. ICASSP 2013: 6128-6132 - [c113]Wenjun Er, Danilo P. Mandic:
Dynamical complexity analysis of multivariate financial data. ICASSP 2013: 8732-8736 - [c112]Dahir H. Dini, Danilo P. Mandic:
Exploiting Sparsity in Widely Linear Estimation. ISWCS 2013: 1-5 - [i4]Hiromu Mori, Yoshihiro Matsumoto, Zbigniew R. Struzik, Koichi Mori, Shoji Makino, Danilo P. Mandic, Tomasz M. Rutkowski:
Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation. CoRR abs/1301.6357 (2013) - [i3]Moonjeong Chang, Nozomu Nishikawa, Zbigniew R. Struzik, Koichi Mori, Shoji Makino, Danilo P. Mandic, Tomasz M. Rutkowski:
Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms. CoRR abs/1301.6360 (2013) - [i2]Dahir H. Dini, Sithan Kanna, Danilo P. Mandic:
Distributed Widely Linear Complex Kalman Filtering. CoRR abs/1311.4369 (2013) - 2012
- [j84]Bo Peng, Wei Liu, Danilo P. Mandic:
Reducing permutation error in subband-based convolutive blind separation. IET Signal Process. 6(1): 34-44 (2012) - [j83]Dahir H. Dini, Cyrus Jahanchahi, Danilo P. Mandic:
Kalman filtering for widely linear complex and quaternion valued bearings only tracking. IET Signal Process. 6(5): 435-445 (2012) - [j82]Ling Li, Yili Xia, Beth Jelfs, Jianting Cao, Danilo P. Mandic:
Modelling of brain consciousness based on collaborative adaptive filters. Neurocomputing 76(1): 36-43 (2012) - [j81]Alireza Ahrabian, Clive Cheong Took, Danilo P. Mandic:
Algorithmic Trading Using Phase Synchronization. IEEE J. Sel. Top. Signal Process. 6(4): 399-403 (2012) - [j80]Beth Jelfs, Danilo P. Mandic, Scott C. Douglas:
An adaptive approach for the identification of improper complex signals. Signal Process. 92(2): 335-344 (2012) - [j79]Mosabber Uddin Ahmed, Danilo P. Mandic:
Multivariate Multiscale Entropy Analysis. IEEE Signal Process. Lett. 19(2): 91-94 (2012) - [j78]Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators. IEEE Signal Process. Mag. 29(5): 44-54 (2012) - [j77]Yili Xia, Danilo P. Mandic:
Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems. IEEE Trans. Instrum. Meas. 61(1): 74-83 (2012) - [j76]Marco Leo, David Looney, Tiziana D'Orazio, Danilo P. Mandic:
Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound. IEEE Trans. Instrum. Meas. 61(1): 221-232 (2012) - [j75]Dahir H. Dini, Danilo P. Mandic:
Class of Widely Linear Complex Kalman Filters. IEEE Trans. Neural Networks Learn. Syst. 23(5): 775-786 (2012) - [j74]Clive Cheong Took, Scott C. Douglas, Danilo P. Mandic:
On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing. IEEE Trans. Signal Process. 60(3): 1469-1473 (2012) - [c111]Danilo P. Mandic, Ali H. Sayed:
Session TP2b: Cooperative adaptation and learning (invited). ACSCC 2012: 1501-1502 - [c110]Dahir H. Dini, Danilo P. Mandic:
Cooperative adaptive estimation of distributed noncircular complex signals. ACSCC 2012: 1518-1522 - [c109]Preben Kidmose, David Looney, Danilo P. Mandic:
Auditory evoked responses from Ear-EEG recordings. EMBC 2012: 586-589 - [c108]Ling Li, David Looney, Cheolsoo Park, Toshihisa Tanaka, Jianting Cao, Danilo P. Mandic:
Phase-based brain consciousness analysis. EMBC 2012: 1032-1035 - [c107]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka:
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 - [c106]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
On quaternion analyticity: Enabling quaternion-valued nonlinear adaptive filtering. ICASSP 2012: 2117-2120 - [c105]Scott C. Douglas, Danilo P. Mandic:
A family of least-squares magnitude phase algorithms. ICASSP 2012: 3769-3772 - [c104]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
On gradient calculation in quaternion adaptive filtering. ICASSP 2012: 3773-3776 - [c103]Mosabber Uddin Ahmed, Naveed ur Rehman, David Looney, Tomasz M. Rutkowski, Preben Kidmose, Danilo P. Mandic:
Multivariate entropy analysis with data-driven scales. ICASSP 2012: 3901-3904 - [c102]Dahir H. Dini, Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Widely linear state space models for frequency estimation in unbalanced three-phase systems. SAM 2012: 9-12 - [c101]Felipe A. Tobar, Anthony Kuh, Danilo P. Mandic:
A novel augmented complex valued kernel LMS. SAM 2012: 473-476 - [i1]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - 2011
- [j73]Tomasz M. Rutkowski, Andrzej Cichocki, Danilo P. Mandic, Toyoaki Nishida:
Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach. AI Soc. 26(3): 301-315 (2011) - [j72]Clive Cheong Took, Danilo P. Mandic, Fuzhen Zhang:
On the unitary diagonalisation of a special class of quaternion matrices. Appl. Math. Lett. 24(11): 1806-1809 (2011) - [j71]Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, Jianting Cao, Danilo P. Mandic:
Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms. Comput. Hum. Behav. 27(5): 1512-1518 (2011) - [j70]Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic:
The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011) - [j69]Clive Cheong Took, Danilo P. Mandic:
Augmented second-order statistics of quaternion random signals. Signal Process. 91(2): 214-224 (2011) - [j68]Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took:
A Quaternion Gradient Operator and Its Applications. IEEE Signal Process. Lett. 18(1): 47-50 (2011) - [j67]Dahir H. Dini, Danilo P. Mandic, Simon J. Julier:
A Widely Linear Complex Unscented Kalman Filter. IEEE Signal Process. Lett. 18(11): 623-626 (2011) - [j66]Yili Xia, Danilo P. Mandic, Ali H. Sayed:
An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals. IEEE Signal Process. Lett. 18(11): 659-662 (2011) - [j65]Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic:
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks 22(1): 74-83 (2011) - [j64]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Quaternion-Valued Nonlinear Adaptive Filtering. IEEE Trans. Neural Networks 22(8): 1193-1206 (2011) - [j63]Soroush Javidi, Clive Cheong Took, Danilo P. Mandic:
Fast Independent Component Analysis Algorithm for Quaternion Valued Signals. IEEE Trans. Neural Networks 22(12): 1967-1978 (2011) - [j62]Naveed ur Rehman, Danilo P. Mandic:
Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Trans. Signal Process. 59(5): 2421-2426 (2011) - [c100]Clive Cheong Took, Cyrus Jahanchahi, Danilo P. Mandic:
A unifying framework for the analysis of quaternion valued adaptive filters. ACSCC 2011: 1771-1774 - [c99]Ling Li, David Looney, Cheolsoo Park, Naveed ur Rehman, Danilo P. Mandic:
Power independent EMG based gesture recognition for robotics. EMBC 2011: 793-796 - [c98]Mosabber Uddin Ahmed, Ling Li, Jianting Cao, Danilo P. Mandic:
Multivariate multiscale entropy for brain consciousness analysis. EMBC 2011: 810-813 - [c97]Cheolsoo Park, David Looney, Danilo P. Mandic:
Estimating human response to taste using EEG. EMBC 2011: 6331-6334 - [c96]David Looney, Cheolsoo Park, Preben Kidmose, Mike Lind Rank, Michael Ungstrup, K. Rosenkranz, Danilo P. Mandic:
An in-the-ear platform for recording electroencephalogram. EMBC 2011: 6882-6885 - [c95]Yili Xia, Ling Li, Jianting Cao, Martin Golz, Danilo P. Mandic:
A collaborative filtering approach for quasi-brain-death EEG analysis. ICASSP 2011: 645-648 - [c94]Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan, Danilo P. Mandic:
Blind extraction of improper quaternion sources. ICASSP 2011: 3708-3711 - [c93]David Looney, Danilo P. Mandic:
Augmented complex matrix factorisation. ICASSP 2011: 4072-4075 - [c92]Scott C. Douglas, Danilo P. Mandic:
The least-mean-magnitude-phase algorithm with applications to communications systems. ICASSP 2011: 4152-4155 - [c91]Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions. IJCNN 2011: 1700-1705 - [c90]Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic:
A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. IJCNN 2011: 2783-2786 - [c89]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - 2010
- [j61]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides, Lazaros Polymenakos:
A modified Armijo rule for the online selection of learning rate of the LMS algorithm. Digit. Signal Process. 20(3): 630-639 (2010) - [j60]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. J. Circuits Syst. Comput. 19(1): 215-229 (2010) - [j59]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Split quaternion nonlinear adaptive filtering. Neural Networks 23(3): 426-434 (2010) - [j58]Yili Xia, Clive Cheong Took, Danilo P. Mandic:
An augmented affine projection algorithm for the filtering of noncircular complex signals. Signal Process. 90(6): 1788-1799 (2010) - [j57]Wai Yie Leong, Danilo P. Mandic:
Noisy Component Extraction (NoiCE). IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(3): 664-671 (2010) - [j56]Soroush Javidi, Danilo P. Mandic, Andrzej Cichocki:
Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1404-1416 (2010) - [j55]Naveed ur Rehman, Danilo P. Mandic:
Empirical mode decomposition for trivariate signals. IEEE Trans. Signal Process. 58(3): 1059-1068 (2010) - [j54]Clive Cheong Took, Danilo P. Mandic:
Quaternion-valued stochastic gradient-based adaptive IIR filtering. IEEE Trans. Signal Process. 58(7): 3895-3901 (2010) - [j53]Clive Cheong Took, Danilo P. Mandic:
A quaternion widely linear adaptive filter. IEEE Trans. Signal Process. 58(8): 4427-4431 (2010) - [j52]Beth Jelfs, Soroush Javidi, Phebe Vayanos, Danilo P. Mandic:
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. J. Signal Process. Syst. 61(1): 105-115 (2010) - [c88]Marco Leo, David Looney, Tiziana D'Orazio, Danilo P. Mandic:
Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals. ANNPR 2010: 219-230 - [c87]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
The widely linear quaternion recursive least squares filter. CIP 2010: 87-92 - [c86]Mosabber Uddin Ahmed, Danilo P. Mandic:
Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition. FUSION 2010: 1-6 - [c85]Scott C. Douglas, Danilo P. Mandic:
Performance analysis of the conventional complex LMS and augmented complex LMS algorithms. ICASSP 2010: 3794-3797 - [c84]Qi-Wei Shi, Wei Zhou, Jianting Cao, Danilo P. Mandic, Toshihisa Tanaka, Tomasz M. Rutkowski, Ru-Bin Wang:
An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD. ICIC (2) 2010: 140-148 - [c83]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting. IJCNN 2010: 1-5 - [c82]David Looney, Cheolsoo Park, Yili Xia, Preben Kidmose, Michael Ungstrup, Danilo P. Mandic:
Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. IJCNN 2010: 1-5 - [c81]Naveed ur Rehman, Danilo P. Mandic:
Quadrivariate Empirical Mode Decomposition. IJCNN 2010: 1-7 - [c80]Clive Cheong Took, Danilo P. Mandic, Kazuyuki Aihara:
Quaternion-valued short term forecasting of wind profile. IJCNN 2010: 1-6 - [c79]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Identification of improper processes by variable tap-length complex-valued adaptive filters. IJCNN 2010: 1-6 - [c78]Yili Xia, Soroush Javidi, Danilo P. Mandic:
A Regularised Normalised Augmented Complex Least Mean Square algorithm. ISWCS 2010: 355-359
2000 – 2009
- 2009
- [j51]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides:
A class of stochastic gradient algorithms with exponentiated error cost functions. Digit. Signal Process. 19(2): 201-212 (2009) - [j50]Clive Cheong Took, Danilo P. Mandic:
The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes. IEEE Trans. Signal Process. 57(4): 1316-1327 (2009) - [j49]David Looney, Danilo P. Mandic:
Multiscale Image Fusion Using Complex Extensions of EMD. IEEE Trans. Signal Process. 57(4): 1626-1630 (2009) - [j48]Clive Cheong Took, Danilo P. Mandic:
Adaptive IIR filtering of noncircular complex signals. IEEE Trans. Signal Process. 57(10): 4111-4118 (2009) - [c77]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu:
Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 - [c76]Danilo P. Mandic, Susanne Still, Scott C. Douglas:
Duality between widely linear and dual channel adaptive filtering. ICASSP 2009: 1729-1732 - [c75]Bukhari Che Ujang, Clive Cheong Took, Aleksandar Kavcic, Danilo P. Mandic:
A split quaternion nonlinear adaptive filter. ICASSP 2009: 1745-1748 - [c74]Clive Cheong Took, Danilo P. Mandic, Jacob Benesty:
Study of the quaternion LMS and four-channel LMS algorithms. ICASSP 2009: 3109-3112 - [c73]Naveed ur Rehman, Danilo P. Mandic:
Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. ICASSP 2009: 3449-3452 - [c72]Anthony Kuh, Danilo P. Mandic:
Applications of complex augmented kernels to wind profile prediction. ICASSP 2009: 3581-3584 - [c71]David Looney, Naveed ur Rehman, Danilo P. Mandic, Tomasz M. Rutkowski, Alla Heidenreich, Dagmar Beyer:
Conditioning multimodal information for smart environments. ICDSC 2009: 1-8 - [c70]Danilo P. Mandic:
Complex valued recurrent neural networks for noncircular complex signals. IJCNN 2009: 1987-1992 - [c69]Xiujie Huang, Aleksandar Kavcic, Xiao Ma, Danilo P. Mandic:
Upper bounds on the capacities of non-controllable finite-state channels using dynamic programming methods. ISIT 2009: 2346-2350 - 2008
- [j47]Danilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh:
Online Detection of the Modality of Complex-Valued Real World Signals. Int. J. Neural Syst. 18(2): 67-74 (2008) - [j46]Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka:
Advances in blind signal processing. Neurocomputing 71(10-12): 2069-2070 (2008) - [j45]Wai Yie Leong, Wei Liu, Danilo P. Mandic:
Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing. Neurocomputing 71(10-12): 2344-2355 (2008) - [j44]Maciej Pedzisz, Danilo P. Mandic:
A Homomorphic Neural Network for Modeling and Prediction. Neural Comput. 20(4): 1042-1064 (2008) - [j43]Danilo P. Mandic, Wlodzislaw Duch:
Preface. Neural Networks 21(6): 797-798 (2008) - [j42]Wai Yie Leong, Danilo P. Mandic:
Post-Nonlinear Blind Extraction in the Presence of Ill-Conditioned Mixing. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(9): 2631-2638 (2008) - [j41]Mo Chen, Temujin Gautama, Danilo P. Mandic:
An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. IEEE Trans. Neural Networks 19(1): 183-189 (2008) - [c68]David Looney, Danilo P. Mandic:
A machine learning enhanced empirical mode decomposition. ICASSP 2008: 1897-1900 - [c67]Mo Chen, Danilo P. Mandic, Preben Kidmose, Michael Ungstrup:
Qualitative assessment of intrinsic mode functions of empirical mode decomposition. ICASSP 2008: 1905-1908 - [c66]Wai Yie Leong, Danilo P. Mandic:
Cascaded approach for microsleep data extraction. ICASSP 2008: 2045-2048 - [c65]Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara:
Online tracking of the degree of nonlinearity within complex signals. ICASSP 2008: 2061-2064 - [c64]David Looney, Danilo P. Mandic:
Fusion of visual and thermal images using complex extension of EMD. ICDSC 2008: 1-8 - [c63]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) 2008: 122-129 - [c62]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic:
Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460 - 2007
- [j40]Su Lee Goh, Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. Neural Comput. 19(4): 1039-1055 (2007) - [j39]Su Lee Goh, Danilo P. Mandic:
An augmented CRTRL for complex-valued recurrent neural networks. Neural Networks 20(10): 1061-1066 (2007) - [j38]Ramaswamy Palaniappan, Danilo P. Mandic:
Biometrics from Brain Electrical Activity: A Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 738-742 (2007) - [j37]Toshihisa Tanaka, Danilo P. Mandic:
Complex Empirical Mode Decomposition. IEEE Signal Process. Lett. 14(2): 101-104 (2007) - [j36]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Trans. Neural Networks 18(5): 1505-1510 (2007) - [j35]Su Lee Goh, Danilo P. Mandic:
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. IEEE Trans. Neural Networks 18(5): 1511-1516 (2007) - [j34]Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara:
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain. J. VLSI Signal Process. 48(1-2): 99-108 (2007) - [j33]Ramaswamy Palaniappan, Danilo P. Mandic:
EEG Based Biometric Framework for Automatic Identity Verification. J. VLSI Signal Process. 49(2): 243-250 (2007) - [j32]Tomasz M. Rutkowski, Danilo P. Mandic, Allan Kardec Barros:
A Multimodal Approach to Communicative Interactivity Classification. J. VLSI Signal Process. 49(2): 317-328 (2007) - [j31]Martin Golz, David Sommer, Mo Chen, Udo Trutschel, Danilo P. Mandic:
Feature Fusion for the Detection of Microsleep Events. J. VLSI Signal Process. 49(2): 329-342 (2007) - [c61]Tomasz M. Rutkowski, Danilo P. Mandic:
Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations. Artifical Intelligence for Human Computing 2007: 155-169 - [c60]Wai Yie Leong, Danilo P. Mandic, Wei Liu:
Blind Extraction of Noisy Events using Nonlinear Predictor. ICASSP (2) 2007: 657-660 - [c59]Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski:
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) 2007: 921-924 - [c58]Muhammad Altaf, Temujin Gautama, Toshihisa Tanaka, Danilo P. Mandic:
Rotation Invariant Complex Empirical Mode Decomposition. ICASSP (3) 2007: 1009-1012 - [c57]Beth Jelfs, Danilo P. Mandic, Jacob Benesty:
A Class of Adaptively Regularised PNLMS Algorithms. DSP 2007: 19-22 - [c56]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides:
A Generalised Mixed Norm Stochastic Gradient Algorithm. DSP 2007: 27-30 - [c55]Beth Jelfs, Danilo P. Mandic, Andrzej Cichocki:
A Unifying Approach to the Derivation of the Class of PNLMS Algorithms. DSP 2007: 35-38 - [c54]David Looney, Danilo P. Mandic, Tomasz M. Rutkowski:
Regularised Adaptive Fir Filters for Image Denoising. DSP 2007: 55-58 - [c53]George Souretis, Danilo P. Mandic, Massimo Grisseli, Toshihisa Tanaka, Marc M. Van Hulle:
Blood Volume Signal Analysis with Empirical Mode Decomposition. DSP 2007: 147-150 - [c52]Wai Yie Leong, Danilo P. Mandic, Martin Golz, David Sommer:
Blind Extraction of Microsleep Events. DSP 2007: 207-210 - [c51]Wai Yie Leong, Danilo P. Mandic:
Noisy Component Extraction (Noice). ISCAS 2007: 3243-3246 - [c50]Phebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic:
Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77 - [c49]Armelle Wautier, Lionel Husson, Ionut-Dan Plai, Danilo P. Mandic:
Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel. VTC Spring 2007: 1761-1765 - [e2]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4668, Springer 2007, ISBN 978-3-540-74689-8 [contents] - [e1]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4669, Springer 2007, ISBN 978-3-540-74693-5 [contents] - 2006
- [j30]Wai Yie Leong, John Homer, Danilo P. Mandic:
An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel. EURASIP J. Wirel. Commun. Netw. 2006 (2006) - [j29]Wei Liu, Danilo P. Mandic:
A normalised kurtosis-based algorithm for blind source extraction from noisy measurements. Signal Process. 86(7): 1580-1585 (2006) - [j28]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides, Lazaros C. Polymenakos:
A novel algorithm for the adaptation of the pole of Laguerre filters. IEEE Signal Process. Lett. 13(7): 429-432 (2006) - [j27]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures. IEEE Trans. Circuits Syst. II Express Briefs 53-II(9): 931-935 (2006) - [j26]Allan Kardec Barros, Danilo P. Mandic, Jan Larsen:
Introductory Note. J. VLSI Signal Process. 45(1-2): 5-6 (2006) - [c48]André Borges Cavalcante, Danilo P. Mandic, Tomasz M. Rutkowski, Allan Kardec Barros:
Speech Enhancement Based on the Response Features of Facilitated EI Neurons. ICA 2006: 585-592 - [c47]Su Lee Goh, Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. ICASSP (5) 2006: 561-564 - [c46]Wei Liu, Danilo P. Mandic:
A Normalised Kurtosis Based Blind Source Extraction Algorithm for Noisy Mixtures. ICASSP (5) 2006: 641-644 - [c45]Anthony Kuh, Danilo P. Mandic:
Sequential Detection Using Least Squares Temporal Difference Methods. ICASSP (5) 2006: 701-704 - [c44]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006 - [c43]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006 - [c42]Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic:
An Online Method for Detecting Nonlinearity Within a Signal. KES (3) 2006: 1216-1223 - [c41]Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki, Danilo P. Mandic, Allan Kardec Barros:
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. KES (3) 2006: 1232-1239 - [c40]Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki:
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255 - [c39]Anthony Kuh, Chaopin Zhu, Danilo P. Mandic:
Sensor Network Localization Using Least Squares Kernel Regression. KES (3) 2006: 1280-1287 - [c38]Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic:
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI 2006: 474-478 - 2005
- [j25]Su Lee Goh, Danilo P. Mandic:
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN. IEEE Trans. Signal Process. 53(5): 1827-1836 (2005) - [c37]Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony G. Constantinides, Jonathon A. Chambers:
Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 2005: 715-721 - [c36]Ramaswamy Palaniappan, Danilo P. Mandic:
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? ICANN (2) 2005: 735-740 - [c35]Tomasz M. Rutkowski, Danilo P. Mandic:
Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. ICANN (2) 2005: 741-746 - [c34]David Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic:
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. ICANN (2) 2005: 753-759 - [c33]Su Lee Goh, Danilo P. Mandic:
A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters. ICASSP (5) 2005: 253-256 - [c32]Wei Liu, Danilo P. Mandic:
Semi-blind source separation for convolutive mixtures based on frequency invariant transformation. ICASSP (5) 2005: 285-288 - [c31]Mo Chen, Danilo P. Mandic, Temujin Gautama, Marc M. Van Hulle:
On nonlinear modular neural filters. ICASSP (5) 2005: 317-320 - [c30]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
A class of novel blind source extraction algorithms based on a linear predictor. ISCAS (4) 2005: 3599-3602 - 2004
- [j24]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic kernel ridge regression. Neurocomputing 57: 105-124 (2004) - [j23]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A non-parametric test for detecting the complex-valued nature of time series. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 99-106 (2004) - [j22]Su Lee Goh, Danilo P. Mandic:
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. Neural Comput. 16(12): 2699-2713 (2004) - [j21]Maria G. Jafari, Jonathon A. Chambers, Danilo P. Mandic:
A novel adaptive learning rate sequential blind source separation algorithm. Signal Process. 84(4): 801-804 (2004) - [j20]Danilo P. Mandic:
A generalized normalized gradient descent algorithm. IEEE Signal Process. Lett. 11(2): 115-118 (2004) - [j19]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A novel method for determining the nature of time series. IEEE Trans. Biomed. Eng. 51(5): 728-736 (2004) - [c29]Mo Chen, Danilo P. Mandic:
Quality assessment of hybrid nonlinear filters. ICASSP (5) 2004: 785-788 - 2003
- [j18]Andrew I. Hanna, Danilo P. Mandic:
On "an improved approach for nonlinear system identification using neural networks". J. Frankl. Inst. 340(5): 363-370 (2003) - [j17]Andrew I. Hanna, Danilo P. Mandic:
A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural Networks 16(2): 155-159 (2003) - [j16]Su Lee Goh, Danilo P. Mandic:
Recurrent neural networks with trainable amplitude of activation functions. Neural Networks 16(8): 1095-1100 (2003) - [j15]Andrew I. Hanna, Danilo P. Mandic:
A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters. Neural Process. Lett. 17(1): 85-91 (2003) - [j14]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Medical Imaging 22(5): 636-644 (2003) - [j13]Andrew I. Hanna, Danilo P. Mandic:
A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters. IEEE Trans. Signal Process. 51(10): 2540-2549 (2003) - [c28]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. ESANN 2003: 209-214 - [c27]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A differential entropy based method for determining the optimal embedding parameters of a signal. ICASSP (6) 2003: 29-32 - [c26]Christos Boukis, Danilo P. Mandic, Eftychios V. Papoulis, Anthony G. Constantinides:
A gradient adaptive step size algorithm for IIR filters. ICASSP (6) 2003: 85-88 - [c25]Danilo P. Mandic, Eftychios V. Papoulis, Christos Boukis:
A normalized mixed-norm adaptive filtering algorithm robust under impulsive noise interference. ICASSP (6) 2003: 333-336 - [c24]Andrew I. Hanna, Ian Yates, Danilo P. Mandic:
Analysis of the class of complex-valued error adaptive normalised nonlinear gradient descent algorithms. ICASSP (2) 2003: 705-708 - [c23]Su Lee Goh, Danilo P. Mandic:
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. KES 2003: 340-350 - [c22]Maria G. Jafari, Danilo P. Mandic, Jonathon A. Chambers:
A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources. KES 2003: 1343-1349 - [c21]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. KES 2003: 1364-1371 - [c20]Danilo P. Mandic, Andrzej Cichocki, Uttachai Manmontri:
An on-line algorithm for blind source extraction based on nonlinear prediction approach. NNSP 2003: 429-438 - [c19]Su Lee Goh, Danilo P. Mandic:
Nonlinear adaptive prediction using a complex-valued PRNN. NNSP 2003: 779-788 - 2002
- [j12]Alex S. Palmer, Moe Razaz, Danilo P. Mandic:
A spatially-adaptive neural network approach to regularized image restoration. J. Intell. Fuzzy Syst. 13(2-4): 177-185 (2002) - [j11]Danilo P. Mandic:
Data-Reusing Recurrent Neural Adaptive Filters. Neural Comput. 14(11): 2693-2707 (2002) - [j10]Andrew I. Hanna, Danilo P. Mandic:
Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity. IEEE Signal Process. Lett. 9(8): 253-255 (2002) - [c18]Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. ESANN 2002: 19-24 - [c17]Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Error Functions for Prediction of Episodes of Poor Air Quality. ICANN 2002: 1031-1036 - [c16]Andrew I. Hanna, Danilo P. Mandic:
A normalised complex backpropagation algorithm. ICASSP 2002: 977-980 - [c15]Warren Sherliker, Igor R. Krcmar, Milorad M. Bozic, Danilo P. Mandic:
On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function. ICASSP 2002: 1061-1064 - [c14]