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2020 – today
- 2024
[j104]Arian Bakhtiarnia
, Qi Zhang, Alexandros Iosifidis:
Efficient High-Resolution Deep Learning: A Survey. ACM Comput. Surv. 56(7): 181:1-181:35 (2024)- [j103]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. 36(32): 20341-20354 (2024) - [j102]Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis:
Structured pruning adapters. Pattern Recognit. 156: 110724 (2024) - [j101]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing redundancy in the bottleneck representation of autoencoders. Pattern Recognit. Lett. 178: 202-208 (2024) - [c137]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. CVPR Workshops 2024: 4673-4682 - [c136]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. ICASSP 2024: 6510-6514 - [c135]Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis:
Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. IJCNN 2024: 1-8 - [i142]Nan Li, Alexandros Iosifidis, Qi Zhang:
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder. CoRR abs/2401.12167 (2024) - [i141]Negar Heidari, Alexandros Iosifidis:
Geometric Deep Learning for Computer-Aided Design: A Survey. CoRR abs/2402.17695 (2024) - [i140]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. CoRR abs/2404.09010 (2024) - [i139]Mirgita Frasheri, Arian Bakhtiarnia, Lukas Esterle, Alexandros Iosifidis:
Are LLM-based methods good enough for detecting unfair terms of service? CoRR abs/2409.00077 (2024) - 2023
- [j100]Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis:
Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access 11: 2445-2477 (2023) - [j99]Rasmus Ingemann Tuffveson Jensen, Alexandros Iosifidis:
Fighting Money Laundering With Statistics and Machine Learning. IEEE Access 11: 8889-8903 (2023) - [j98]Martin Magris, Alexandros Iosifidis:
Bayesian learning for neural networks: an algorithmic survey. Artif. Intell. Rev. 56(10): 11773-11823 (2023) - [j97]Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen:
Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Comput. Surv. 55(11): 236:1-236:34 (2023) - [j96]Rasmus Jensen, Alexandros Iosifidis:
Qualifying and raising anti-money laundering alarms with deep learning. Expert Syst. Appl. 214: 119037 (2023) - [j95]Kestutis Baltakys, Margarita Baltakiene, Negar Heidari, Alexandros Iosifidis, Juho Kanniainen:
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance. Expert Syst. Appl. 228: 120285 (2023) - [j94]Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen, Alexandros Iosifidis:
Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. 35(25): 18519-18531 (2023) - [j93]Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju:
Graph-embedded subspace support vector data description. Pattern Recognit. 133: 108999 (2023) - [j92]Lukas Hedegaard, Negar Heidari, Alexandros Iosifidis:
Continual spatio-temporal graph convolutional networks. Pattern Recognit. 140: 109528 (2023) - [j91]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. 141: 109604 (2023) - [c134]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. AAAI 2023: 8421-8429 - [c133]Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang:
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. GLOBECOM (Workshops) 2023: 1603-1608 - [c132]Martin Magris, Alexandros Iosifidis:
Variational Inference for GARCH-family Models. ICAIF 2023: 541-548 - [c131]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP 2023: 1-5 - [c130]Nan Li, Alexandros Iosifidis, Qi Zhang:
Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. ICC 2023: 967-972 - [c129]Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang:
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. ICC Workshops 2023: 1617-1622 - [c128]Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Transformers: Redundancy-Free Attention for Online Inference. ICLR 2023 - [c127]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. IJCNN 2023: 1-8 - [c126]Mehdi Rafiei, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. IJCNN 2023: 1-8 - [c125]Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN 2023: 1-6 - [c124]Christian Remi Wewer, Alexandros Iosifidis:
Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. INDIN 2023: 1-7 - [c123]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. INNS DLIA@IJCNN 2023: 104-113 - [c122]Illia Oleksiienko, Alexandros Iosifidis:
Layer Ensembles. MLSP 2023: 1-6 - [c121]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning Distinct Features Helps, Provably. ECML/PKDD (2) 2023: 206-222 - [c120]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. SSCI 2023: 25-32 - [c119]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. SSCI 2023: 323-328 - [c118]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. SSCI 2023: 559-564 - [d5]Halil Ibrahim Ugurlu, Amir Ramezani Dooraki, Erdal Kayacan, Alexandros Iosifidis:
Multimodal Agricultural Aerial and Ground Robotics Simulation Dataset. Zenodo, 2023
- [i138]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. CoRR abs/2301.01352 (2023) - [i137]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. CoRR abs/2301.12914 (2023) - [i136]Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle:
Adaptive Parameterization of Deep Learning Models for Federated Learning. CoRR abs/2302.02949 (2023) - [i135]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i134]Illia Oleksiienko, Alexandros Iosifidis:
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. CoRR abs/2302.05923 (2023) - [i133]Christian Remi Wewer, Alexandros Iosifidis:
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks. CoRR abs/2303.15570 (2023) - [i132]Mehdi Rafiei, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. CoRR abs/2304.11734 (2023) - [i131]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. CoRR abs/2305.09271 (2023) - [i130]Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang:
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. CoRR abs/2305.12796 (2023) - [i129]Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis:
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. CoRR abs/2305.15084 (2023) - [i128]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
On Feature Diversity in Energy-based Models. CoRR abs/2306.01489 (2023) - [i127]Amir Ramezani Dooraki, Alexandros Iosifidis:
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control. CoRR abs/2307.15724 (2023) - [i126]Firas Laakom, Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Convolutional autoencoder-based multimodal one-class classification. CoRR abs/2309.14090 (2023) - [i125]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. CoRR abs/2310.01148 (2023) - [i124]Martin Magris, Alexandros Iosifidis:
Variational Inference for GARCH-family Models. CoRR abs/2310.03435 (2023) - [i123]Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis:
On Pixel-level Performance Assessment in Anomaly Detection. CoRR abs/2310.16435 (2023) - [i122]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Improving Unimodal Inference with Multimodal Transformers. CoRR abs/2311.10170 (2023) - [i121]Mehdi Rafiei, Alexandros Iosifidis:
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation. CoRR abs/2311.14506 (2023) - 2022
- [j90]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding With Data Uncertainty. IEEE Access 10: 24232-24239 (2022) - [j89]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10: 45542-45552 (2022) - [j88]Nan Li, Alexandros Iosifidis, Qi Zhang:
Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Comput. Networks 214: 109150 (2022) - [j87]Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye:
3D Quantum Cuts for automatic segmentation of porous media in tomography images. Comput. Geosci. 159: 105017 (2022) - [j86]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. 9(9): 6905-6913 (2022) - [j85]Shaohua Wan, Chen Chen, Alexandros Iosifidis:
Editorial to special issue on cross-media learning for visual question answering. Image Vis. Comput. 118: 104355 (2022) - [j84]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Feedforward neural networks initialization based on discriminant learning. Neural Networks 146: 220-229 (2022) - [j83]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks 153: 461-473 (2022) - [j82]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts 14: 100431 (2022) - [j81]Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Saliency-Based Multilabel Linear Discriminant Analysis. IEEE Trans. Cybern. 52(10): 10200-10213 (2022) - [c117]Lukas Hedegaard, Alexandros Iosifidis:
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. ECCV Workshops (7) 2022: 21-34 - [c116]Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. ECCV (4) 2022: 369-385 - [c115]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Edit Distance for Country Code Recognition in License Plates. EUSIPCO 2022: 1111-1115 - [c114]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO 2022: 1487-1491 - [c113]Nan Li, Alexandros Iosifidis, Qi Zhang:
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. GLOBECOM 2022: 982-987 - [c112]Nan Li, Alexandros Iosifidis, Qi Zhang:
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. ICC 2022: 3667-3672 - [c111]Nan Li, Alexandros Iosifidis, Qi Zhang:
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. ICC 2022: 4281-4286 - [c110]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-attention fusion for audiovisual emotion recognition with incomplete data. ICPR 2022: 2822-2828 - [c109]Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. IJCNN 2022: 1-9 - [c108]Fatemeh Kakavandi, Roger De Reus, Cláudio Gomes, Negar Heidari, Alexandros Iosifidis, Peter Gorm Larsen:
Product Quality Control in Assembly Machine under Data Restricted Settings. INDIN 2022: 735-741 - [c107]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c106]Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis:
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. ISC2 2022: 1-5 - [c105]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-Attention Neural Bag-of-Features. MLSP 2022: 1-6 - [c104]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Efficient CNN with uncorrelated Bag of Features pooling. SSCI 2022: 1082-1087 - [d4]Christian Wewer, Alexandros Iosifidis:
Industrial drying of Filter Media - Moisture Content Prediction. IEEE DataPort, 2022 - [i120]Rasmus Jensen, Alexandros Iosifidis:
Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review. CoRR abs/2201.04207 (2022) - [i119]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR abs/2201.05459 (2022) - [i118]Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Transformers: Redundancy-Free Attention for Online Inference. CoRR abs/2201.06268 (2022) - [i117]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-Attention Neural Bag-of-Features. CoRR abs/2201.11092 (2022) - [i116]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-attention fusion for audiovisual emotion recognition with incomplete data. CoRR abs/2201.11095 (2022) - [i115]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing Redundancy in the Bottleneck Representation of the Autoencoders. CoRR abs/2202.04629 (2022) - [i114]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR abs/2202.04678 (2022) - [i113]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. CoRR abs/2202.04964 (2022) - [i112]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i111]Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR abs/2203.07922 (2022) - [i110]Lukas Hedegaard, Negar Heidari, Alexandros Iosifidis:
Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks. CoRR abs/2203.11009 (2022) - [i109]Anssi Männistö, Mert Seker, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives. CoRR abs/2204.02149 (2022) - [i108]Lukas Hedegaard, Alexandros Iosifidis:
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. CoRR abs/2204.03418 (2022) - [i107]Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. CoRR abs/2205.00534 (2022) - [i106]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR abs/2205.11269 (2022) - [i105]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR abs/2205.11568 (2022) - [i104]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR abs/2206.02619 (2022) - [i103]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. CoRR abs/2207.01524 (2022) - [i102]Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis:
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. CoRR abs/2207.10155 (2022) - [i101]Nan Li, Alexandros Iosifidis, Qi Zhang:
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. CoRR abs/2207.11293 (2022) - [i100]Nan Li, Alexandros Iosifidis, Qi Zhang:
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. CoRR abs/2207.11294 (2022) - [i99]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR abs/2207.11577 (2022) - [i98]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Efficient High-Resolution Deep Learning: A Survey. CoRR abs/2207.13050 (2022) - [i97]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko:
HyperTime: Implicit Neural Representation for Time Series. CoRR abs/2208.05836 (2022) - [i96]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. CoRR abs/2208.07075 (2022) - [i95]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Efficient CNN with uncorrelated Bag of Features pooling. CoRR abs/2209.10865 (2022) - [i94]Majid Hosseini, Fahad Sohrab, Raju Gottumukkala, Ravi Teja Bhupatiraju, Satya Katragadda, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. CoRR abs/2209.13542 (2022) - [i93]Illia Oleksiienko, Alexandros Iosifidis:
Layer Ensembles. CoRR abs/2210.04882 (2022) - [i92]Negar Heidari, Alexandros Iosifidis:
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. CoRR abs/2210.09381 (2022) - [i91]Nan Li, Alexandros Iosifidis, Qi Zhang:
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. CoRR abs/2210.13464 (2022) - [i90]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Exact Manifold Gaussian Variational Bayes. CoRR abs/2210.14598 (2022) - [i89]Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR abs/2211.00466 (2022) - [i88]Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis:
Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey. CoRR abs/2211.05565 (2022) - [i87]Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis:
Structured Pruning Adapters. CoRR abs/2211.10155 (2022) - [i86]Martin Magris, Alexandros Iosifidis:
Bayesian Learning for Neural Networks: an algorithmic survey. CoRR abs/2211.11865 (2022) - [i85]Nan Li, Alexandros Iosifidis, Qi Zhang:
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing. CoRR abs/2211.13745 (2022) - [i84]Zhongtian Dong, Nan Li, Alexandros Iosifidis, Qi Zhang:
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. CoRR abs/2211.13778 (2022) - [i83]Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang:
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. CoRR abs/2211.13787 (2022) - 2021
- [j80]Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. IEEE Access 9: 39560-39567 (2021) - [j79]Negar Heidari, Alexandros Iosifidis:
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access 9: 81957-81968 (2021) - [j78]Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer:
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13(2): 552-569 (2021) - [j77]Reza Kharghanian, Ali Peiravi, Farshad Moradi, Alexandros Iosifidis:
Pain detection using batch normalized discriminant restricted Boltzmann machine layers. J. Vis. Commun. Image Represent. 76: 103062 (2021) - [j76]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Exploiting heterogeneity in operational neural networks by synaptic plasticity. Neural Comput. Appl. 33(13): 7997-8015 (2021) - [j75]Blazej Leporowski, Alexandros Iosifidis:
Visualising deep network time-series representations. Neural Comput. Appl. 33(23): 16489-16498 (2021) - [j74]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Self-organized Operational Neural Networks with Generative Neurons. Neural Networks 140: 294-308 (2021) - [j73]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Multimodal subspace support vector data description. Pattern Recognit. 110: 107648 (2021) - [j72]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Speed-up and multi-view extensions to subclass discriminant analysis. Pattern Recognit. 111: 107660 (2021) - [j71]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3485-3494 (2021) - [j70]Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Trans. Image Process. 30: 8619-8631 (2021) - [j69]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-View Learning to Rank. IEEE Trans. Knowl. Data Eng. 33(4): 1426-1438 (2021) - [j68]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. 32(2): 925-930 (2021) - [j67]Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1512-1524 (2021) - [j66]Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas:
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. 93(10): 1235-1251 (2021) - [c103]Hao Feng, Cláudio Gomes, Casper Thule, Kenneth Lausdahl, Alexandros Iosifidis, Peter Gorm Larsen:
Introduction to Digital Twin Engineering. ANNSIM 2021: 1-12 - [c102]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. BMVC 2021: 43 - [c101]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Multi-Exit Vision Transformer for Dynamic Inference. BMVC 2021: 81 - [c100]Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
Robust channel-wise illumination estimation. BMVC 2021: 104 - [c99]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. BMVC 2021: 216 - [c98]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ensembling Object Detectors for Image and Video Data Analysis. ICASSP 2021: 1515-1519 - [c97]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. ICASSP 2021: 3220-3224 - [c96]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Augmenting Transferred Representations for Stock Classification. ICASSP 2021: 3915-3919 - [c95]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. IJCNN 2021: 1-8 - [c94]Negar Heidari, Alexandros Iosifidis:
On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. IJCNN 2021: 1-7 - [c93]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. IJCNN 2021: 1-7 - [c92]Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. IJCNN 2021: 1-6 - [c91]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. MMSP 2021: 1-6 - [c90]Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Main Character Recognition for Photographic Studies. MMSP 2021: 1-6 - [d3]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.0. Zenodo, 2021 [all versions] - [d2]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.1. Zenodo, 2021 [all versions] - [i82]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. CoRR abs/2102.01409 (2021) - [i81]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ensembling object detectors for image and video data analysis. CoRR abs/2102.04798 (2021) - [i80]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR abs/2102.08310 (2021) - [i79]Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm. CoRR abs/2103.06759 (2021) - [i78]Blazej Leporowski, Alexandros Iosifidis:
Visualising Deep Network's Time-Series Representations. CoRR abs/2103.07176 (2021) - [i77]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. CoRR abs/2103.13701 (2021) - [i76]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Knowledge Distillation By Sparse Representation Matching. CoRR abs/2103.17012 (2021) - [i75]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. CoRR abs/2104.10461 (2021) - [i74]Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju:
Graph-Embedded Subspace Support Vector Data Description. CoRR abs/2104.14370 (2021) - [i73]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead. CoRR abs/2105.09121 (2021) - [i72]Illia Oleksiienko, Alexandros Iosifidis:
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. CoRR abs/2105.10316 (2021) - [i71]Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. CoRR abs/2106.00050 (2021) - [i70]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. CoRR abs/2106.04332 (2021) - [i69]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Within-layer Diversity Reduces Generalization Gap. CoRR abs/2106.06012 (2021) - [i68]Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Main Character Recognition for Photographic Studies. CoRR abs/2106.09064 (2021) - [i67]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Multi-Exit Vision Transformer for Dynamic Inference. CoRR abs/2106.15183 (2021) - [i66]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. CoRR abs/2107.01955 (2021) - [i65]Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. CoRR abs/2107.06995 (2021) - [i64]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR abs/2109.00983 (2021) - [i63]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning with Adaptive Compression. CoRR abs/2109.01184 (2021) - [i62]Blazej Leporowski, Casper Hansen, Alexandros Iosifidis:
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series. CoRR abs/2109.10082 (2021) - [i61]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
On Quantitative Evaluations of Counterfactuals. CoRR abs/2111.00177 (2021) - [i60]Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen:
Constructing Neural Network-Based Models for Simulating Dynamical Systems. CoRR abs/2111.01495 (2021) - [i59]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. CoRR abs/2111.05684 (2021) - 2020
- [j65]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ellipsoidal Subspace Support Vector Data Description. IEEE Access 8: 122013-122025 (2020) - [j64]Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Machine Learning Based Analysis of Finnish World War II Photographers. IEEE Access 8: 144184-144196 (2020) - [j63]Alexandros Iosifidis:
Probabilistic Class-Specific Discriminant Analysis. IEEE Access 8: 183847-183855 (2020) - [j62]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93: 106401 (2020) - [j61]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptrons with Memory. Neurocomputing 379: 172-181 (2020) - [j60]Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Operational neural networks. Neural Comput. Appl. 32(11): 6645-6668 (2020) - [j59]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106: 107380 (2020) - [j58]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. 131: 8-14 (2020) - [j57]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. 136: 183-189 (2020) - [j56]Alexandros Iosifidis:
Class mean vector component and discriminant analysis. Pattern Recognit. Lett. 140: 207-213 (2020) - [j55]Alexandros Iosifidis, Anastasios Tefas:
Deep Learning for Visual Content Analysis. Signal Process. Image Commun. 83: 115806 (2020) - [j54]Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Salme Kärkkäinen:
Human experts vs. machines in taxa recognition. Signal Process. Image Commun. 87: 115917 (2020) - [j53]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 774-785 (2020) - [j52]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features for Color Constancy. IEEE Trans. Image Process. 29: 7722-7734 (2020) - [j51]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. 31(3): 710-724 (2020) - [j50]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3760-3765 (2020) - [c89]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO 2020: 1392-1396 - [c88]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Robust Fast Subclass Discriminant Analysis. EUSIPCO 2020: 1397-1401 - [c87]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP 2020: 1713-1717 - [c86]William Lund Sommer, Alexandros Iosifidis:
Text-To-Image Synthesis Method Evaluation Based On Visual Patterns. ICASSP 2020: 4097-4101 - [c85]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling for Progressive Neural Network Learning. ICIP 2020: 713-717 - [c84]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. ICIP 2020: 978-982 - [c83]Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Incremental Fast Subclass Discriminant Analysis. ICIP 2020: 1771-1775 - [c82]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) 2020: 63-76 - [c81]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR 2020: 7287-7292 - [c80]Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation using Graph Embedding. ICPR 2020: 7841-7847 - [c79]Negar Heidari, Alexandros Iosifidis:
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. ICPR 2020: 7907-7914 - [c78]Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Not all domains are equally complex: Adaptive Multi-Domain Learning. ICPR 2020: 8663-8670 - [c77]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. SSCI 2020: 1822-1828 - [c76]Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. SSCI 2020: 2156-2161 - [i58]Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Agerskov Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye:
Automatic image-based identification and biomass estimation of invertebrates. CoRR abs/2002.03807 (2020) - [i57]Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Incremental Fast Subclass Discriminant Analysis. CoRR abs/2002.04348 (2020) - [i56]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling For Progressive Neural Network Learning. CoRR abs/2002.07141 (2020) - [i55]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning with Prior Knowledge. CoRR abs/2002.07203 (2020) - [i54]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR abs/2003.00598 (2020) - [i53]Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation using Graph Embedding. CoRR abs/2003.04063 (2020) - [i52]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ellipsoidal Subspace Support Vector Data Description. CoRR abs/2003.09504 (2020) - [i51]Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Not all domains are equally complex: Adaptive Multi-Domain Learning. CoRR abs/2003.11504 (2020) - [i50]Negar Heidari, Alexandros Iosifidis:
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. CoRR abs/2003.12277 (2020) - [i49]Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Saliency-based Weighted Multi-label Linear Discriminant Analysis. CoRR abs/2004.04221 (2020) - [i48]Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation: Were we doing Graph Embedding all along? CoRR abs/2004.11262 (2020) - [i47]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Self-Organized Operational Neural Networks with Generative Neurons. CoRR abs/2004.11778 (2020) - [i46]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. CoRR abs/2005.02730 (2020) - [i45]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR abs/2005.12250 (2020) - [i44]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. CoRR abs/2007.07978 (2020) - [i43]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. CoRR abs/2007.10114 (2020) - [i42]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. CoRR abs/2009.00505 (2020) - [i41]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity. CoRR abs/2009.08934 (2020) - [i40]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. CoRR abs/2009.10456 (2020) - [i39]Negar Heidari, Alexandros Iosifidis:
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. CoRR abs/2010.12221 (2020) - [i38]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Evaluating data augmentation for financial time series classification. CoRR abs/2010.15111 (2020) - [i37]Negar Heidari, Alexandros Iosifidis:
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition. CoRR abs/2011.03833 (2020) - [i36]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. CoRR abs/2011.05668 (2020) - [i35]Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer. CoRR abs/2011.11436 (2020)
2010 – 2019
- 2019
- [j49]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7: 64722-64736 (2019) - [j48]Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Feature Engineering for Mid-Price Prediction With Deep Learning. IEEE Access 7: 82390-82412 (2019) - [j47]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
PyGOP: A Python library for Generalized Operational Perceptron algorithms. Knowl. Based Syst. 182 (2019) - [j46]Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj:
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1407-1418 (2019) - [c75]Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO 2019: 1-5 - [c74]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP 2019: 7545-7549 - [c73]Dat Thanh Tran, Alexandros Iosifidis:
Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP 2019: 8355-8359 - [c72]Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP 2019: 854-858 - [c71]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP 2019: 1168-1172 - [c70]Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP 2019: 1-6 - [c69]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. SSCI 2019: 1085-1090 - [d1]Oskar Liset Pryds Hansen, Jens-Christian Svenning, Kent Olsen, Steen Dupont, Beulhah H. Garner, Alexandros Iosifidis, Benjamin W. Price, Toke Thomas Høye:
Image data used for publication "Species-level image classification with convolutional neural network enable insect identification from habitus images ". Zenodo, 2019 - [i34]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. CoRR abs/1901.08280 (2019) - [i33]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. CoRR abs/1902.07892 (2019) - [i32]Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Operational Neural Networks. CoRR abs/1902.11106 (2019) - [i31]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR abs/1903.06751 (2019) - [i30]Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye:
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. CoRR abs/1904.04412 (2019) - [i29]Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Feature Engineering for Mid-Price Prediction with Deep Learning. CoRR abs/1904.05384 (2019) - [i28]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Multimodal Subspace Support Vector Data Description. CoRR abs/1904.07698 (2019) - [i27]Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Machine Learning Based Analysis of Finnish World War II Photographers. CoRR abs/1904.09811 (2019) - [i26]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Speed-up and multi-view extensions to Subclass Discriminant Analysis. CoRR abs/1905.00794 (2019) - [i25]Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. CoRR abs/1905.07481 (2019) - [i24]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. CoRR abs/1906.01340 (2019) - [i23]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features For Color Constancy. CoRR abs/1906.04445 (2019) - [i22]Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators. CoRR abs/1907.09452 (2019) - [i21]Jenni Raitoharju, Alexandros Iosifidis:
Null Space Analysis for Class-Specific Discriminant Learning. CoRR abs/1908.04562 (2019) - [i20]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. CoRR abs/1910.10404 (2019) - [i19]William Lund Sommer, Alexandros Iosifidis:
Text-to-image synthesis method evaluation based on visual patterns. CoRR abs/1911.00077 (2019) - 2018
- [j45]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj:
Neural class-specific regression for face verification. IET Biom. 7(1): 63-70 (2018) - [j44]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Semi-supervised subclass support vector data description for image and video classification. Neurocomputing 278: 51-61 (2018) - [j43]Jenni Raitoharju, Ekaterina Riabchenko, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, Ville Tirronen, Johanna Ärje, Salme Kärkkäinen, Kristian Meissner:
Benchmark database for fine-grained image classification of benthic macroinvertebrates. Image Vis. Comput. 78: 73-83 (2018) - [j42]Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj:
Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks 105: 328-339 (2018) - [j41]Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj:
Probabilistic saliency estimation. Pattern Recognit. 74: 359-372 (2018) - [j40]Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj:
Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. 48(9): 2542-2555 (2018) - [c68]Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis:
Automatic Flower and Visitor Detection System. EUSIPCO 2018: 405-409 - [c67]Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz:
Acceleration Approaches for Big Data Analysis. ICIP 2018: 311-315 - [c66]Lei Xu, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Linear Discriminant Analysis Based on Class Saliency Information. ICIP 2018: 2306-2310 - [c65]Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Subspace Support Vector Data Description. ICPR 2018: 722-727 - [c64]Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis:
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI 2018: 389-396 - [i18]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-view Learning to Rank. CoRR abs/1801.10402 (2018) - [i17]Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Subspace Support Vector Data Description. CoRR abs/1802.03989 (2018) - [i16]Lei Xu, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Linear Discriminant Analysis based on Class Saliency Information. CoRR abs/1802.06547 (2018) - [i15]Dat Thanh Tran, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. CoRR abs/1804.05093 (2018) - [i14]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis:
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR abs/1805.07808 (2018) - [i13]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptron with Memory. CoRR abs/1808.06377 (2018) - [i12]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR abs/1809.07861 (2018) - [i11]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR abs/1810.09965 (2018) - [i10]Alexandros Iosifidis:
Probabilistic Class-Specific Discriminant Analysis. CoRR abs/1812.05980 (2018) - [i9]Alexandros Iosifidis:
Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning. CoRR abs/1812.05988 (2018) - 2017
- [j39]Johanna Ärje, Salme Kärkkäinen, Kristian Meissner, Alexandros Iosifidis, Türker Ince, Moncef Gabbouj, Serkan Kiranyaz:
The effect of automated taxa identification errors on biological indices. Expert Syst. Appl. 72: 108-120 (2017) - [j38]Kaveh Samiee, Alexandros Iosifidis, Moncef Gabbouj:
On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks. Expert Syst. Appl. 83: 177-186 (2017) - [j37]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Approximate kernel extreme learning machine for large scale data classification. Neurocomputing 219: 210-220 (2017) - [j36]Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Progressive Operational Perceptrons. Neurocomputing 224: 142-154 (2017) - [j35]Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj:
CNN-based edge filtering for object proposals. Neurocomputing 266: 631-640 (2017) - [j34]Alexandros Iosifidis, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. 45(2): 577-592 (2017) - [j33]Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Learning graph affinities for spectral graph-based salient object detection. Pattern Recognit. 64: 159-167 (2017) - [j32]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. 100: 131-136 (2017) - [j31]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj:
Big Media Data Analysis. Signal Process. Image Commun. 59: 105-108 (2017) - [j30]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj:
Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition. IEEE Signal Process. Lett. 24(10): 1537-1541 (2017) - [j29]Alexandros Iosifidis, Moncef Gabbouj:
Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions. IEEE Trans. Cybern. 47(12): 4485-4496 (2017) - [c63]Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Time-series classification using neural Bag-of-Features. EUSIPCO 2017: 301-305 - [c62]Anton Muravev, Ezgi Can Ozan, Alexandros Iosifidis, Moncef Gabbouj:
Pyramid encoding for fast additive quantization. EUSIPCO 2017: 2506-2510 - [c61]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using deep learning to detect price change indications in financial markets. EUSIPCO 2017: 2511-2515 - [c60]Alexandros Iosifidis, Moncef Gabbouj:
Class-specific kernel discriminant analysis based on Cholesky decomposition. IJCNN 2017: 1141-1146 - [c59]Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Generalized model of biological neural networks: Progressive operational perceptrons. IJCNN 2017: 2477-2485 - [c58]Ionut Schiopu, Moncef Gabbouj, Alexandros Iosifidis, Bing Zeng, Shuaicheng Liu:
Subaperture image segmentation for lossless compression. IPTA 2017: 1-6 - [c57]Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj, Alexandros Iosifidis:
Sample-based regularization for support vector machine classification. IPTA 2017: 1-6 - [c56]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor representation in high-frequency financial data for price change prediction. SSCI 2017: 1-7 - [c55]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) 2017: 7-12 - [i8]Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. CoRR abs/1705.03233 (2017) - [i7]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj:
Neural Class-Specific Regression for face verification. CoRR abs/1708.09642 (2017) - [i6]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR abs/1709.01268 (2017) - [i5]Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj:
Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR abs/1709.09902 (2017) - [i4]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Class-Specific Discriminant Analysis. CoRR abs/1710.10695 (2017) - [i3]Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj:
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR abs/1712.00975 (2017) - 2016
- [j28]Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multim. Tools Appl. 75(19): 11641-11660 (2016) - [j27]Alexandros Iosifidis, Moncef Gabbouj:
Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs. Pattern Recognit. 55: 231-246 (2016) - [j26]Alexandros Iosifidis, Moncef Gabbouj:
Nyström-based approximate kernel subspace learning. Pattern Recognit. 57: 190-197 (2016) - [j25]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. 60: 585-595 (2016) - [j24]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedded Extreme Learning Machine. IEEE Trans. Cybern. 46(1): 311-324 (2016) - [j23]Alexandros Iosifidis, Moncef Gabbouj:
Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification. IEEE Trans. Inf. Forensics Secur. 11(11): 2453-2465 (2016) - [j22]Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Visual Voice Activity Detection in the Wild. IEEE Trans. Multim. 18(6): 967-977 (2016) - [c54]Alexandros Iosifidis, Moncef Gabbouj:
Graph-regularized multi-class support vector machines for face and action recognition. EUSIPCO 2016: 96-100 - [c53]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj:
A review of approximate methods for kernel-based big media data analysis. EUSIPCO 2016: 1113-1117 - [c52]Berkay Kicanaoglu, Alexandros Iosifidis, Moncef Gabbouj:
Maximum margin binary classifiers using intrinsic and penalty graphs. EUSIPCO 2016: 2270-2274 - [c51]Alexandros Iosifidis, Moncef Gabbouj:
Supervised subspace learning based on deep randomized networks. ICASSP 2016: 2584-2588 - [c50]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
One class classification applied in facial image analysis. ICIP 2016: 1644-1648 - [c49]Alexandros Iosifidis, Moncef Gabbouj:
Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition. ICIP 2016: 4180-4184 - [c48]Jenni Raitoharju, Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz:
Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. CVAUI@ICPR 2016: 43-48 - [c47]Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj:
Object proposals using CNN-based edge filtering. ICPR 2016: 627-632 - [c46]Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Ville Tirronen, Moncef Gabbouj, Serkan Kiranyaz:
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates. ICPR 2016: 2276-2281 - [c45]Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Salient object segmentation based on linearly combined affinity graphs. ICPR 2016: 3769-3774 - [c44]Guanqun Cao, Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj:
Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval. IPTA 2016: 1-6 - [c43]Alexandros Iosifidis, Moncef Gabbouj:
Prototype-based class-specific nonlinear subspace learning for large-scale face verification. IPTA 2016: 1-6 - [c42]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Laplacian one class extreme learning machines for human action recognition. MMSP 2016: 1-5 - [c41]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Kernel subclass support vector description for face and human action recognition. SPLINE 2016: 1-5 - [c40]Alexandros Iosifidis, Moncef Gabbouj:
Hierarchical class-specific kernel discriminant analysis for face verification. VCIP 2016: 1-4 - [i2]Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj:
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR abs/1605.09696 (2016) - [i1]Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj:
Probabilistic Saliency Estimation. CoRR abs/1609.03868 (2016) - 2015
- [j21]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. Int. J. Artif. Intell. Tools 24(5): 1540020:1-1540020:22 (2015) - [j20]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Distance-based human action recognition using optimized class representations. Neurocomputing 161: 47-55 (2015) - [j19]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing 162: 57-66 (2015) - [j18]Alexandros Iosifidis:
Extreme learning machine based supervised subspace learning. Neurocomputing 167: 158-164 (2015) - [j17]Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. J. Inf. Hiding Multim. Signal Process. 6(2): 254-273 (2015) - [j16]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
On the kernel Extreme Learning Machine classifier. Pattern Recognit. Lett. 54: 11-17 (2015) - [j15]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Sparse extreme learning machine classifier exploiting intrinsic graphs. Pattern Recognit. Lett. 65: 192-196 (2015) - [j14]Alexandros Iosifidis, Moncef Gabbouj:
On the kernel Extreme Learning Machine speedup. Pattern Recognit. Lett. 68: 205-210 (2015) - [j13]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. IEEE Trans. Hum. Mach. Syst. 45(3): 315-326 (2015) - [c39]Alexandros Iosifidis, Moncef Gabbouj:
A Bayesian approach for extreme learning machine-based subspace learning. EUSIPCO 2015: 2356-2360 - [c38]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Class-specific nonlinear subspace learning based on optimized class representation. EUSIPCO 2015: 2491-2495 - [c37]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Enhancing class discrimination in Kernel Discriminant Analysis. ICASSP 2015: 1926-1930 - [c36]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting subclass information in one-class support vector machine for video summarization. ICASSP 2015: 2259-2263 - [c35]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Alexandros Iosifidis, Ioannis Pitas:
Fast Kernel Matrix Computation for Big Data Clustering. ICCS 2015: 2445-2452 - [c34]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. ICCS 2015: 2814-2821 - [c33]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Merging linear discriminant analysis with Bag of Words model for human action recognition. ICIP 2015: 832-836 - [c32]Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Visual voice activity detection based on spatiotemporal information and bag of words. ICIP 2015: 2334-2338 - [c31]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. ICIP 2015: 2449-2453 - [c30]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Regularized Extreme Learning Machine for Large-scale Media Content Analysis. INNS Conference on Big Data 2015: 420-427 - [c29]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) 2015: 6-10 - [c28]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Nearest Class Vector Classification for Large-Scale Learning Problems. TrustCom/BigDataSE/ISPA (2) 2015: 11-16 - [c27]Alexandros Iosifidis, Moncef Gabbouj, Petri Pekki:
Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces. TrustCom/BigDataSE/ISPA (2) 2015: 17-24 - 2014
- [j12]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing 145: 250-262 (2014) - [j11]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Kernel Reference Discriminant Analysis. Pattern Recognit. Lett. 49: 85-91 (2014) - [j10]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Discriminant Bag of Words based representation for human action recognition. Pattern Recognit. Lett. 49: 185-192 (2014) - [c26]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Video summarization based on Subclass Support Vector Data Description. CIES 2014: 183-187 - [c25]Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Stereoscopic video description for human action recognition. CIMSIVP 2014: 1-6 - [c24]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Computational Intelligence Approaches for Digital Media Analysis and Description. ECC (2) 2014: 263-272 - [c23]Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. EUSIPCO 2014: 1317-1321 - [c22]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Minimum Variance Extreme Learning Machine for human action recognition. ICASSP 2014: 5427-5431 - [c21]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Human action recognition based on bag of features and multi-view neural networks. ICIP 2014: 1510-1514 - [c20]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Semi-supervised Classification of Human Actions Based on Neural Networks. ICPR 2014: 1336-1341 - [c19]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting Local Class Information in Extreme Learning Machine. IJCCI (NCTA) 2014: 49-55 - [c18]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. IJCCI (Selected Papers) 2014: 351-364 - [c17]Marina Ivasic-Kos, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person de-identification in activity videos. MIPRO 2014: 1294-1299 - [c16]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view Regularized Extreme Learning Machine for Human Action Recognition. SETN 2014: 84-94 - 2013
- [b1]Alexandros Iosifidis:
Τεχνικές μηχανικής όρασης και αναγνώρισης προτύπων για την αλληλεπίδραση ανθρώπου-υπολογιστή. Aristotle University Of Thessaloniki, Greece, 2013 - [j9]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing 121: 344-353 (2013) - [j8]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Dynamic action recognition based on dynemes and Extreme Learning Machine. Pattern Recognit. Lett. 34(15): 1890-1898 (2013) - [j7]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. Signal Process. 93(6): 1445-1457 (2013) - [j6]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Minimum Class Variance Extreme Learning Machine for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1968-1979 (2013) - [j5]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 25(11): 2564-2575 (2013) - [j4]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
On the Optimal Class Representation in Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1491-1497 (2013) - [c15]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person identification from actions based on Artificial Neural Networks. CIBIM 2013: 7-13 - [c14]Anastasios Tefas, Alexandros Iosifidis, Ioannis Pitas:
Neural Networks for Digital Media Analysis and Description. EANN (1) 2013: 1-11 - [c13]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Dynamic action classification based on iterative data selection and Feedforward Neural networks. EUSIPCO 2013: 1-5 - [c12]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Active classification for human action recognition. ICIP 2013: 3249-3253 - [c11]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view Human Action Recognition: A Survey. IIH-MSP 2013: 522-525 - [c10]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Representative Class Vector Clustering-Based Discriminant Analysis. IIH-MSP 2013: 526-529 - [c9]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
View-independent human action recognition based on multi-view action images and discriminant learning. IVMSP 2013: 1-4 - [c8]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person identification from actions based on dynemes and discriminant learning. IWBF 2013: 1-4 - 2012
- [j3]Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. Comput. Vis. Image Underst. 116(3): 347-360 (2012) - [j2]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. IEEE Trans. Inf. Forensics Secur. 7(2): 530-542 (2012) - [j1]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
View-Invariant Action Recognition Based on Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(3): 412-424 (2012) - [c7]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. EUSIPCO 2012: 1129-1133 - [c6]Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. ICASSP 2012: 2201-2204 - [c5]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Discriminant action representation for view-invariant person identification. ICIP 2012: 1177-1180 - [c4]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Neural representation and learning for multi-view human action recognition. IJCNN 2012: 1-6 - 2011
- [c3]Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Learning Human Identity Using View-Invariant Multi-view Movement Representation. BIOID 2011: 217-226 - [c2]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person specific activity recognition using fuzzy learning and Discriminant Analysis. EUSIPCO 2011: 1974-1978 - 2010
- [c1]Alexandros Iosifidis, Nikos Nikolaidis, Ioannis Pitas:
Movement recognition exploiting multi-view information. MMSP 2010: 427-431
Coauthor Index
[j101] [c137] [i140] [j93] [c134] [c121] [c120] [i138] [i128] [i126] [i125] [i122] [j90] [j89] [j87] [j86] [j84] [j81] [c115] [c110] [c107] [c105] [c104] [i117] [i116] [i115] [i114] [i112] [i95] [i94] [j80] [j76] [j74] [j73] [j72] [j69] [j68] [j67] [j66] [c100] [c99] [c98] [c93] [c92] [i81] [i76] [i74] [i69] [i64] [i63] [i59] [j65] [j62] [j61] [j60] [j59] [j58] [j57] [j54] [j53] [j52] [j51] [j50] [c89] [c88] [c87] [c85] [c84] [c83] [c82] [c81] [c78] [c77] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i49] [i47] [i46] [i45] [i43] [i42] [i41] [i40] [i35] [j49] [j48] [j47] [j46] [c75] [c74] [c72] [c71] [c70] [c69] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i23] [i22] [i20] [j45] [j43] [j42] [j41] [j40] [c68] [c67] [c66] [c65] [i18] [i17] [i16] [i13] [i12] [i11] [j39] [j38] [j36] [j35] [j33] [j32] [j31] [j30] [j29] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i8] [i7] [i6] [i5] [i4] [i3] [j27] [j26] [j23] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c40] [i2] [i1] [j14] [c39] [c27]
Lukas Hedegaard
aka: Lukas Hedegaard Morsing
aka: Lukas Hedegaard Morsing
[j44] [j37] [j34] [j31] [j28] [j25] [j24] [j22] [c53] [c50] [c42] [c41] [j21] [j20] [j19] [j17] [j16] [j15] [j13] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j12] [j11] [j10] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j9] [j8] [j7] [j6] [j5] [j4] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j3] [j2] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j101] [j100] [j93] [c134] [c121] [i138] [i128] [i126] [j90] [j81] [c109] [c104] [i115] [i114] [i109] [i107] [i95] [i94] [i88] [j80] [j73] [j72] [c100] [c99] [c98] [c93] [c92] [c90] [i81] [i79] [i74] [i69] [i68] [i59] [j65] [j64] [j54] [j52] [c84] [c83] [c78] [i58] [i57] [i52] [i51] [i49] [i46] [i43] [i42] [i35] [c69] [i28] [i27] [i26] [i24] [i23] [i21] [i20] [j43] [c65] [i17] [c48]
[j103] [c119] [i135] [j89] [c107] [i112] [i104] [j68] [j66] [j62] [j59] [j58] [j57] [j55] [j53] [j52] [j50] [c89] [c87] [c82] [i45] [j49] [c75] [c74] [c72] [c70] [i34] [i33] [i23] [j44] [i12] [i11] [j37] [j34] [j31] [c63] [c61] [c55] [j28] [j25] [j24] [j22] [c53] [c50] [c42] [c41] [j21] [j20] [j19] [j17] [j16] [j15] [j13] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j12] [j11] [j10] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j9] [j8] [j7] [j6] [j5] [j4] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j3] [j2] [j1] [c7] [c6] [c5] [c4] [c3] [c2]
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