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2020 – today
- 2025
[j48]Ziyi Wang, Hang Liu, Yukai Cai
, Hongjin Li, Chuanshuai Yang, Xinlei Zhang, Fengyu Cong:
Point out the mistakes: An HMM-based anomaly detection algorithm for sleep stage classification. Biomed. Signal Process. Control. 99: 106805 (2025)- 2024
- [j47]Xinyu Hao, Hongming Xu, Nannan Zhao, Tao Yu, Timo Hämäläinen, Fengyu Cong:
Predicting pathological complete response based on weakly and semi-supervised joint learning in breast cancer multi-parametric MRI. Biomed. Signal Process. Control. 93: 106164 (2024) - [j46]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Bin-Hua Zhao, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. Biomed. Signal Process. Control. 95: 106471 (2024) - [j45]Guanghui Zhang, Carlos D. Carrasco, Kurt Winsler, Brett Bahle, Fengyu Cong, Steven J. Luck:
Assessing the effectiveness of spatial PCA on SVM-based decoding of EEG data. NeuroImage 293: 120625 (2024) - [j44]Jia Liu, Yongjie Zhu, Zheng Chang, Tiina Parviainen, Christian Antfolk, Timo Hämäläinen, Fengyu Cong:
Reconfiguration of Cognitive Control Networks During a Long-Duration Flanker Task. IEEE Trans. Cogn. Dev. Syst. 16(4): 1364-1373 (2024) - [j43]Xiaoyu Wang, Yi Yang, Geoffrey Laforge, Xueling Chen, Loretta Norton, Adrian M. Owen, Jianghong He, Fengyu Cong:
Global Field Time-Frequency Representation-Based Discriminative Similarity Analysis of Passive Auditory ERPs for Diagnosis of Disorders of Consciousness. IEEE Trans. Biomed. Eng. 71(6): 1820-1830 (2024) - [j42]Dongdong Zhou, Qi Xu, Jiacheng Zhang, Lei Wu, Hongming Xu, Lauri Kettunen, Zheng Chang, Qiang Zhang, Fengyu Cong:
Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j41]Xiaoshuang Wang, Ziheng Gao, Meiyan Zhang, Ying Wang, Lin Yang, Jianwen Lin, Tommi Kärkkäinen, Fengyu Cong:
Combination of Channel Reordering Strategy and Dual CNN-LSTM for Epileptic Seizure Prediction Using Three iEEG Datasets. IEEE J. Biomed. Health Informatics 28(11): 6557-6567 (2024) - [j40]Xin Zuo, Chi Zhang, Fengyu Cong, Jian Zhao, Timo Hämäläinen:
Mobile Phone Use Driver Distraction Detection Based on MSaE of Multi-Modality Physiological Signals. IEEE Trans. Intell. Transp. Syst. 25(11): 17650-17665 (2024) - [c62]Mingkang Wang, Tong Wang, Fengyu Cong, Cheng Lu, Hongming Xu:
Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. MICCAI (1) 2024: 91-101 - [i4]Yukai Cai, Hang Liu, Xiulin Wang, Hongjin Li, Ziyi Wang, Chuanshuai Yang, Fengyu Cong:
FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning. CoRR abs/2404.11890 (2024) - 2023
- [j39]Hang Liu, Shaowei Cui, Xiaohui Zhao, Fengyu Cong:
Detection of obstructive sleep apnea from single-channel ECG signals using a CNN-transformer architecture. Biomed. Signal Process. Control. 82: 104581 (2023) - [j38]Fan Li, Yan Xu, Junjun Chen, Ping Lu, Bin Zhang, Fengyu Cong:
A deep learning model developed for sleep apnea detection: A multi-center study. Biomed. Signal Process. Control. 85: 104689 (2023) - [j37]Reza Mahini, Fan Li, Mahdi Zarei, Asoke K. Nandi, Timo Hämäläinen, Fengyu Cong:
Ensemble deep clustering analysis for time window determination of event-related potentials. Biomed. Signal Process. Control. 86(Part B): 105202 (2023) - [j36]Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Qi Xu, Yong Zhu, Fengyu Cong:
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. Int. J. Imaging Syst. Technol. 33(1): 362-377 (2023) - [c61]Huashuai Xu, Huanjie Li, Tommi Kärkkäinen, Fengyu Cong:
Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities. CIPAE 2023: 726-732 - [c60]Xinyu Hao, Hongming Xu, Nannan Zhao, Tao Yu, Timo Hämäläinen, Fengyu Cong:
Predicting pathological complete response based on weakly and semi-supervised joint learning from breast cancer MRI. EMBC 2023: 1-4 - [c59]Xin Zuo, Chi Zhang, Jian Zhao, Timo Hämäläinen, Fengyu Cong:
Driver Distraction Detection Based on EEG Feature Fusion Using Random Forest. ICBSP 2023: 104-109 - [c58]Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Ranran Wang, Fengyu Cong:
Multiple Instance Learning for Lymph Node Metastasis Prediction from Cervical Cancer MRI. ISBI 2023: 1-4 - [i3]Xiulin Wang, Tapani Ristaniemi, Fengyu Cong:
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation. CoRR abs/2302.05119 (2023) - 2022
- [j35]Chi Zhang, Lina Sun, Shuang Ge, Yi Chang, Mingyan Jin, Yang Xiao, Hanbing Gao, Lin Wang, Fengyu Cong:
Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis. Biomed. Signal Process. Control. 74: 103498 (2022) - [j34]Dongdong Zhou, Jian Wang, Guoqiang Hu, Jiacheng Zhang, Fan Li, Rui Yan, Lauri Kettunen, Zheng Chang, Qi Xu, Fengyu Cong:
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. Biomed. Signal Process. Control. 75: 103592 (2022) - [j33]Xin Zuo, Chi Zhang, Timo Hämäläinen, Hanbing Gao, Yu Fu, Fengyu Cong:
Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG. Entropy 24(9): 1281 (2022) - [j32]Xiaoshuang Wang, Guanghui Zhang, Ying Wang, Lin Yang, Zhanhua Liang, Fengyu Cong:
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG. Int. J. Neural Syst. 32(2): 2150048:1-2150048:16 (2022) - [j31]Guoqiang Hu, Huanjie Li, Wei Zhao, Yuxing Hao, Zonglei Bai, Lisa D. H. Nickerson, Fengyu Cong:
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data. NeuroImage 255: 119193 (2022) - [j30]Wenya Liu, Xiulin Wang, Timo Hämäläinen, Fengyu Cong:
Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor Decomposition. IEEE Trans. Biomed. Eng. 69(8): 2691-2700 (2022) - [j29]Dongdong Zhou, Qi Xu, Jian Wang, Hongming Xu, Lauri Kettunen, Zheng Chang, Fengyu Cong:
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j28]Xin Zuo, Chi Zhang, Fengyu Cong, Jian Zhao, Timo Hämäläinen:
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG. IEEE Trans. Intell. Transp. Syst. 23(10): 19309-19322 (2022) - [j27]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. IEEE Trans. Medical Imaging 41(3): 667-679 (2022) - [c57]Zhonghua Chen, Hongkai Wang, Fengyu Cong, Lauri Kettunen:
Low-Dose Mouse Micro-CT Image Segmentation Based on Multi-Resolution Multi-Organ Shape Prior Knowledge Model. CIPAE 2022: 349-353 - [c56]Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong:
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. IJCNN 2022: 1-6 - [c55]Xiaoshuang Wang, Tommi Kärkkäinen, Fengyu Cong:
Seizure Prediction Using EEG Channel Selection Method. MLSP 2022: 1-6 - 2021
- [j26]Fan Li, Rui Yan, Reza Mahini, Lai Wei, Zhiqiang Wang, Klaus Mathiak, Rong Liu, Fengyu Cong:
End-to-end sleep staging using convolutional neural network in raw single-channel EEG. Biomed. Signal Process. Control. 63: 102203 (2021) - [j25]Jia Liu, Chi Zhang, Yongjie Zhu, Tapani Ristaniemi, Tiina Parviainen, Fengyu Cong:
Corrigendum to 'Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition' [Computer Methods and Programs in Biomedicine 184 (2020) 105120]. Comput. Methods Programs Biomed. 198: 105785 (2021) - [j24]Yongjie Zhu, Xiaoyu Wang, Klaus Mathiak, Petri Toiviainen, Tapani Ristaniemi, Jing Xu, Yi Chang, Fengyu Cong:
Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression. Int. J. Neural Syst. 31(3): 2150001:1-2150001:14 (2021) - [j23]Yongjie Zhu, Xiaoyu Wang, Klaus Mathiak, Petri Toiviainen, Tapani Ristaniemi, Jing Xu, Yi Chang, Fengyu Cong:
Response to Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression, International Journal of Neural Systems, Vol. 31 No. 3 (2021). Int. J. Neural Syst. 31(4): 2175002:1-2175002 (2021) - [j22]Jana Zweerings, Kiira Sarasjärvi, Krystyna Anna Mathiak, Jorge Iglesias-Fuster, Fengyu Cong, Mikhail Zvyagintsev, Klaus Mathiak:
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD. Int. J. Neural Syst. 31(11): 2150043:1-2150043:18 (2021) - [j21]Xiaoshuang Wang, Xiulin Wang, Wenya Liu, Zheng Chang, Tommi Kärkkäinen, Fengyu Cong:
One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG. Neurocomputing 459: 212-222 (2021) - [j20]Deqing Wang, Zheng Chang, Fengyu Cong:
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme. Neural Comput. Appl. 33(24): 17369-17387 (2021) - [j19]Chi Zhang, Lina Sun, Fengyu Cong, Tapani Ristaniemi:
Spatiotemporal Dynamical Analysis of Brain Activity During Mental Fatigue Process. IEEE Trans. Cogn. Dev. Syst. 13(3): 593-606 (2021) - [c54]Dongdong Zhou, Qi Xu, Jian Wang, Jiacheng Zhang, Guoqiang Hu, Lauri Kettunen, Zheng Chang, Fengyu Cong:
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. EMBC 2021: 43-46 - [c53]Wenya Liu, Xiulin Wang, Fengyu Cong, Timo Hämäläinen:
Alpha Band Dysconnectivity Networks in Major Depression during Resting State. EUSIPCO 2021: 1155-1158 - [c52]Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. ICASSP 2021: 1110-1114 - 2020
- [j18]Chi Zhang, Lina Sun, Fengyu Cong, Tuomo Kujala, Tapani Ristaniemi, Tiina Parviainen:
Optimal imaging of multi-channel EEG features based on a novel clustering technique for driver fatigue detection. Biomed. Signal Process. Control. 62: 102103 (2020) - [j17]Jia Liu, Chi Zhang, Yongjie Zhu, Tapani Ristaniemi, Tiina Parviainen, Fengyu Cong:
Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition. Comput. Methods Programs Biomed. 184: 105120 (2020) - [j16]Chi Zhang, Jinfei Ma, Jian Zhao, Pengbo Liu, Fengyu Cong, Tianjiao Liu, Ying Li, Lina Sun, Ruosong Chang:
Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness. Entropy 22(7): 787 (2020) - [j15]Yongjie Zhu, Jia Liu, Tapani Ristaniemi, Fengyu Cong:
Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech. Int. J. Neural Syst. 30(3): 2050007:1-2050007:15 (2020) - [j14]Tianyi Zhou, Jiannan Kang, Fengyu Cong, Xiaoli Li:
Stability-driven non-negative matrix factorization-based approach for extracting dynamic network from resting-state EEG. Neurocomputing 389: 123-131 (2020) - [j13]Yongjie Zhu, Jia Liu, Chaoxiong Ye, Klaus Mathiak, Piia Astikainen, Tapani Ristaniemi, Fengyu Cong:
Discovering dynamic task-modulated functional networks with specific spectral modes using MEG. NeuroImage 218: 116924 (2020) - [j12]Weiming Wang, Hang Liu, Yan Yu, Fengyu Cong, Jun Yu:
Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing. Sensors 20(7): 2092 (2020) - [j11]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. IEEE Trans. Medical Imaging 39(4): 844-853 (2020) - [c51]Rui Yan, Fan Li, Dongdong Zhou, Tapani Ristaniemi, Fengyu Cong:
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. EUSIPCO 2020: 1090-1094 - [c50]Xiaoshuang Wang, Tapani Ristaniemi, Fengyu Cong:
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals. EUSIPCO 2020: 1387-1391 - [c49]Xiulin Wang, Wenya Liu, Fengyu Cong, Tapani Ristaniemi:
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data. EUSIPCO 2020: 2125-2129 - [c48]Wenya Liu, Xiulin Wang, Tapani Ristaniemi, Fengyu Cong:
Identifying Task-Based Dynamic Functional Connectivity Using Tensor Decomposition. ICONIP (5) 2020: 361-369 - [c47]Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong, Hongkai Wang:
Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling. ISNN 2020: 74-84
2010 – 2019
- 2019
- [j10]Rui Yan, Chi Zhang, Karen Spruyt, Lai Wei, Zhiqiang Wang, Lili Tian, Xueqiao Li, Tapani Ristaniemi, Jihui Zhang, Fengyu Cong:
Multi-modality of polysomnography signals' fusion for automatic sleep scoring. Biomed. Signal Process. Control. 49: 14-23 (2019) - [j9]Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer:
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions. Signal Process. Image Commun. 73: 22-36 (2019) - [c46]Jia Liu, Chi Zhang, Tapani Ristaniemi, Fengyu Cong:
Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform. EMBC 2019: 1496-1499 - [c45]Deqing Wang, Fengyu Cong, Tapani Ristaniemi:
Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm. ICASSP 2019: 3457-3461 - [c44]Xiulin Wang, Tapani Ristaniemi, Fengyu Cong:
Fast Implementation of Double-coupled Nonnegative Canonical Polyadic Decomposition. ICASSP 2019: 8588-8592 - [c43]Yongjie Zhu, Xueqiao Li, Tapani Ristaniemi, Fengyu Cong:
Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition. ICASSP 2019: 8593-8597 - [c42]Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong:
Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea. ICETE (Selected Papers) 2019: 256-275 - [c41]Rui Yan, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, Fengyu Cong:
An Automatic Sleep Scoring Toolbox: Multi-modality of Polysomnography Signals' Processing. ICETE (1) 2019: 307-315 - [c40]Xiulin Wang, Chi Zhang, Tapani Ristaniemi, Fengyu Cong:
Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis. ISNN (2) 2019: 180-189 - [c39]Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. ISNN (2) 2019: 540-547 - 2018
- [j8]Chi Zhang, Fengyu Cong, Tuomo Kujala, Wenya Liu, Jia Liu, Tiina Parviainen, Tapani Ristaniemi:
Network Entropy for the Sequence Analysis of Functional Connectivity Graphs of the Brain. Entropy 20(5): 311 (2018) - [j7]Xiao-Feng Gong, Qiu-Hua Lin, Fengyu Cong, Lieven De Lathauwer:
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation. IEEE Trans. Signal Process. 66(13): 3475-3490 (2018) - [c38]Deqing Wang, Xiaoyu Wang, Yongjie Zhu, Petri Toiviainen, Minna Huotilainen, Tapani Ristaniemi, Fengyu Cong:
Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition. ISNN 2018: 789-799 - [i2]Deqing Wang, Fengyu Cong, Tapani Ristaniemi:
Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study. CoRR abs/1812.10637 (2018) - 2017
- [c37]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Post-ICA phase de-noising for resting-state complex-valued FMRI data. ICASSP 2017: 856-860 - [c36]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Yong-Gang Chen, Fengyu Cong, Vince D. Calhoun:
Model order effects on independent vector analysis applied to complex-valued fMRI data. ISBI 2017: 81-84 - [c35]Reza Mahini, Tianyi Zhou, Peng Li, Asoke K. Nandi, Huanjie Li, Hong Li, Fengyu Cong:
Cluster Aggregation for Analyzing Event-Related Potentials. ISNN (2) 2017: 507-515 - [c34]Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. ISNN (2) 2017: 559-566 - [e2]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10261, Springer 2017, ISBN 978-3-319-59071-4 [contents] - [e1]Fengyu Cong, Andrew Chi-Sing Leung, Qinglai Wei:
Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10262, Springer 2017, ISBN 978-3-319-59080-6 [contents] - 2016
- [c33]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. ICASSP 2016: 714-718 - [c32]Namgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki:
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. ICONIP (3) 2016: 87-95 - [c31]Tiantian Yang, Fengyu Cong, Zheng Chang, Youyi Liu, Tapani Ristaniemi, Hong Li:
Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses. ISNN 2016: 30-39 - [c30]Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki:
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. MLSP 2016: 1-6 - 2015
- [b1]Fengyu Cong, Tapani Ristaniemi, Heikki Lyytinen:
Advanced Signal Processing on Brain Event-Related Potentials - Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously. WorldScientific 2015, ISBN 9789814623087, pp. 1-224 - [c29]Valeri Tsatsishvili, Fengyu Cong, Petri Toiviainen, Tapani Ristaniemi:
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data. IJCNN 2015: 1-6 - [c28]Deqing Wang, Zengwu Liu, Fengyu Cong:
Wood Surface Quality Detection and Classification Using Gray Level and Texture Features. ISNN 2015: 248-257 - 2014
- [j6]Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. 24(8) (2014) - [c27]Valeri Tsatsishvili, Fengyu Cong, Tapani Ristaniemi, Petri Toiviainen, Vinoo Alluri, Elvira Brattico, Asoke K. Nandi:
Generation of stimulus features for analysis of FMRI during natural auditory experiences. EUSIPCO 2014: 2490-2494 - [c26]Zheng Chang, Yang Liu, Fengyu Cong, Xijuan Guo, Zhenyu Zhou:
Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users. ICCS 2014: 369-373 - 2013
- [j5]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. 23(2) (2013) - [j4]Fengyu Cong, Vinoo Alluri, Asoke K. Nandi, Petri Toiviainen, Rui Fa, Basel Abu-Jamous, Liyun Gong, Bart G. W. Craenen, Hanna Poikonen, Minna Huotilainen, Tapani Ristaniemi:
Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features. IEEE Trans. Multim. 15(5): 1060-1069 (2013) - [c25]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Jing Fan, Fengyu Cong, Vince D. Calhoun:
Multi-subject fMRI data analysis: Shift-invariant tensor factorization vs. group independent component analysis. ChinaSIP 2013: 269-272 - [c24]Qiangfeng Zhao, Junfeng Sun, Fengyu Cong, Shan Chen, Yingying Tang, Shanbao Tong:
Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously. EMBC 2013: 5986-5989 - [c23]Valeri Tsatsishvili, Fengyu Cong, Tuomas Puoliväli, Vinoo Alluri, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi:
Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. ESANN 2013 - [c22]Tuomas Puoliväli, Fengyu Cong, Vinoo Alluri, Qiu-Hua Lin, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi:
Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. ICASSP 2013: 1310-1314 - [c21]Fengyu Cong, Hannu Hautakangas, Jukka Nieminen, Oleksiy Mazhelis, Mikko Perttunen, Jukka Riekki, Tapani Ristaniemi:
Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection. ISNN (1) 2013: 291-299 - [c20]Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, Asoke K. Nandi:
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. MLSP 2013: 1-6 - [i1]Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, Asoke K. Nandi:
Diffusion map for clustering fMRI spatial maps extracted by independent component analysis. CoRR abs/1306.1350 (2013) - 2012
- [j3]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki:
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array. Int. J. Neural Syst. 22(6) (2012) - [c19]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi:
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. EUSIPCO 2012: 494-498 - [c18]Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi:
Fast and effective model order selection method to determine the number of sources in a linear transformation model. EUSIPCO 2012: 1870-1874 - [c17]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. LVA/ICA 2012: 502-510 - [c16]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki:
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) 2012: 166-173 - [c15]Fengyu Cong, Aleksandr Aleksandrov, Veronika Knyazeva, Tatyana Deinekina, Tapani Ristaniemi:
A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity. ISNN (1) 2012: 411-421 - [c14]Fengyu Cong, Guoxu Zhou, Qibin Zhao,