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ORCIDAndrzej Cichocki
Andrzej S. Cichocki
Person information
- affiliation: Riken Brain Science Institute, Wako, Japan
- affiliation: Polska Akademia, Warszawa, Poland
- affiliation: Warsaw University of Technology, Poland
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2020 – today
- 2025
[j286]Yixuan Zhou
, Peiyu Yang, Yi Qu, Xing Xu, Zhe Sun, Andrzej Cichocki:
AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies. Expert Syst. Appl. 262: 125597 (2025)- [j285]Jing Jin, Xinjie He, Ren Xu, Ruiyu Zhao, Xin Long, Xingyu Wang, Andrzej Cichocki:
Cross-Stimulus Transfer Learning Framework Using Common Period Repetition Components for Fast Calibration of SSVEP-Based BCIs. IEEE Internet Things J. 12(5): 5719-5731 (2025) - [j284]Jing Jin, Xiao Wu, Ian Daly, Weijie Chen, Xinjie He, Xingyu Wang, Andrzej Cichocki:
Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials. IEEE Internet Things J. 12(5): 5822-5833 (2025) - [j283]Wei Liang, Brendan Z. Allison, Ren Xu, Xinjie He, Xingyu Wang, Andrzej Cichocki, Jing Jin:
SecNet: A second order neural network for MI-EEG. Inf. Process. Manag. 62(3): 104012 (2025) - [j282]Ruitian Xu, Brendan Z. Allison, Xueqing Zhao, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection. Neural Networks 184: 107124 (2025) - [j281]Salman Ahmadi-Asl, Valentin Leplat, Anh Huy Phan, Andrzej Cichocki:
Nonnegative Tensor Decomposition via Collaborative Neurodynamic Optimization. SIAM J. Sci. Comput. 47(1): 100- (2025) - [j280]Jing Jin, Xueqing Zhao, Ian Daly, Shurui Li, Xingyu Wang, Andrzej Cichocki, Tzyy-Ping Jung:
A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-Related Potentials. IEEE Trans. Biomed. Eng. 72(3): 1188-1199 (2025) - [j279]Jing Jin, Weijie Chen, Ren Xu, Wei Liang, Xiao Wu, Xinjie He, Xingyu Wang, Andrzej Cichocki:
Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 29(1): 198-209 (2025) - [i70]Andrzej Cichocki:
Generalized Exponentiated Gradient Algorithms Using the Euler Two-Parameter Logarithm. CoRR abs/2502.17500 (2025) - 2024
- [j278]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan V. Oseledets:
Corrections to "Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)". IEEE Access 12: 70742 (2024) - [j277]Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. IEEE Access 12: 197000-197020 (2024) - [j276]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection. Adv. Comput. Math. 50(2): 23 (2024) - [j275]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. J. Artif. Intell. Res. 81: 973-988 (2024) - [j274]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki:
A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes. J. Sci. Comput. 98(1): 23 (2024) - [j273]Shurui Li, Ian Daly, Cuntai Guan, Andrzej Cichocki, Jing Jin:
Inter-participant transfer learning with attention based domain adversarial training for P300 detection. Neural Networks 180: 106655 (2024) - [j272]Jing Jin, Xinjie He, Brendan Z. Allison, Ke Qin, Xingyu Wang, Andrzej Cichocki:
Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition. IEEE Trans. Cogn. Dev. Syst. 16(6): 1943-1954 (2024) - [j271]Xinjie He, Brendan Z. Allison, Ke Qin, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition. IEEE Trans. Biomed. Eng. 71(11): 3071-3084 (2024) - [j270]Jing Jin, Ruitian Xu, Ian Daly, Xueqing Zhao, Xingyu Wang, Andrzej Cichocki:
MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces. IEEE Trans. Cybern. 54(9): 5565-5576 (2024) - [j269]Youshen Xia, Qingshan Liu, Jun Wang, Andrzej Cichocki:
A Survey of Neurodynamic Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2677-2696 (2024) - [j268]Ke Qin, Ren Xu, Xinjie He, Yutao Zhang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j267]Shenshen Li, Xing Xu, Xun Jiang, Fumin Shen, Zhe Sun, Andrzej Cichocki:
Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 165:1-165:22 (2024) - [j266]Wenfei Cao, Xia Chen, Shoucheng Yan, Zeyue Zhou, Andrzej Cichocki:
1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization. IEEE Trans. Signal Process. 72: 3487-3501 (2024) - [c281]Airat Kotliar-Shapirov, Sergei Gostilovich, Anastasia Sozykina, Anh Huy Phan, Andrzej Cichocki:
Granger Connectivity Analysis as a Block-Term Tensor Regression for eSport Players. ICASSP 2024: 3290-3294 - [i69]Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. CoRR abs/2406.00655 (2024) - [i68]Yixuan Zhou, Xing Xu, Zhe Sun, Jingkuan Song, Andrzej Cichocki, Heng Tao Shen:
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization. CoRR abs/2409.00942 (2024) - [i67]Salman Ahmadi-Asl, Valentin Leplat, Anh Huy Phan, Andrzej Cichocki:
Nonnegative Tensor Decomposition Via Collaborative Neurodynamic Optimization. CoRR abs/2411.18127 (2024) - 2023
- [j265]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image reconstruction using superpixel clustering and tensor completion. Signal Process. 212: 109158 (2023) - [j264]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang:
Fast cross tensor approximation for image and video completion. Signal Process. 213: 109121 (2023) - [j263]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [j262]Jing Jin, Zhiqiang Wang, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4096-4105 (2023) - [j261]Hangjun Che, Jun Wang, Andrzej Cichocki:
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4881-4891 (2023) - [c280]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets:
Fast Adaptive Cross Tubal Tensor Approximation. SSP 2023: 552-556 - [i66]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection. CoRR abs/2305.00749 (2023) - [i65]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets:
Adaptive Cross Tubal Tensor Approximation. CoRR abs/2305.05030 (2023) - [i64]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image Reconstruction using Superpixel Clustering and Tensor Completion. CoRR abs/2305.09564 (2023) - [i63]Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev, Anh Huy Phan, Salman Ahmadi-Asl, Naveed Ahmed, Imran N. Junejo, Zaher Al Aghbari, Thar Baker, Ahmed Mohamed Khedr, Andrzej Cichocki:
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition. CoRR abs/2306.09822 (2023) - [i62]Farnaz Sedighin, Andrzej Cichocki, Hossein Rabbani:
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation. CoRR abs/2306.11750 (2023) - [i61]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. CoRR abs/2308.04595 (2023) - 2022
- [j260]Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto:
Data augmentation for Convolutional LSTM based brain computer interface system. Appl. Soft Comput. 122: 108811 (2022) - [j259]Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - [j258]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j257]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. IEEE Trans. Cogn. Dev. Syst. 14(2): 348-365 (2022) - [j256]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j255]Zhiqiang Wang, Jing Jin, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis. IEEE Trans. Cogn. Dev. Syst. 14(3): 1119-1128 (2022) - [j254]Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multikernel Capsule Network for Schizophrenia Identification. IEEE Trans. Cybern. 52(6): 4741-4750 (2022) - [j253]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j252]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022) - [j251]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3587-3597 (2022) - [c279]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS 2022 - [i60]Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki:
How to Train Unstable Looped Tensor Network. CoRR abs/2203.02617 (2022) - [i59]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR abs/2205.00293 (2022) - [i58]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation for Image and Video Completion. CoRR abs/2207.06072 (2022) - 2021
- [j250]Zhe Sun, Binghua Li, Feng Duan, Hao Jia, Shan Wang, Yu Liu, Andrzej Cichocki, Cesar F. Caiafa, Jordi Solé-Casals:
WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks. IEEE Access 9: 3165-3173 (2021) - [j249]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access 9: 28684-28706 (2021) - [j248]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j247]Ying Mao, Jing Jin, Shurui Li, Yangyang Miao, Andrzej Cichocki:
Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance. Comput. Intell. Neurosci. 2021: 6694310:1-6694310:10 (2021) - [j246]Andrzej Cichocki, Alexander P. Kuleshov:
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. Comput. Intell. Neurosci. 2021: 8893795:1-8893795:21 (2021) - [j245]Farnaz Sedighin, Andrzej Cichocki:
Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition. Frontiers Artif. Intell. 4: 687176 (2021) - [j244]Ying Mao, Jing Jin, Ren Xu, Shurui Li, Yangyang Miao, Andrzej Cichocki:
The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm. Int. J. Neural Syst. 31(4): 2150004:1-2150004:18 (2021) - [j243]Jing Jin, Hua Fang, Ian Daly, Ruocheng Xiao, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI. Int. J. Neural Syst. 31(7): 2150030:1-2150030:15 (2021) - [j242]Hao Sun, Jing Jin, Ren Xu, Andrzej Cichocki:
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces. Int. J. Neural Syst. 31(9): 2150040:1-2150040:17 (2021) - [j241]Farnaz Sedighin, Andrzej Cichocki, Anh-Huy Phan:
Adaptive Rank Selection for Tensor Ring Decomposition. IEEE J. Sel. Top. Signal Process. 15(3): 454-463 (2021) - [j240]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions. IEEE J. Sel. Top. Signal Process. 15(3): 550-559 (2021) - [j239]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Maame G. Asante-Mensah, Mirfarid Musavian Ghazani, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized algorithms for fast computation of low rank tensor ring model. Mach. Learn. Sci. Technol. 2(1): 11001 (2021) - [j238]Maame G. Asante-Mensah, Salman Ahmadi-Asl, Andrzej Cichocki:
Matrix and tensor completion using tensor ring decomposition with sparse representation. Mach. Learn. Sci. Technol. 2(3): 35008 (2021) - [j237]Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki:
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. 80(15): 22987-23007 (2021) - [j236]Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte:
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors 21(17): 5740 (2021) - [j235]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j234]Jing Jin, Ruocheng Xiao, Ian Daly, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4814-4825 (2021) - [c278]Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki:
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. ACL/IJCNLP (Findings) 2021: 1674-1684 - [c277]Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong:
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) 2021: 5301-5311 - [c276]Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki:
Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices. ICASSP 2021: 4690-4694 - [c275]Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [i57]Michele Nazareth da Costa, Romis Attux, Andrzej Cichocki, João M. T. Romano:
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data. CoRR abs/2101.09184 (2021) - [i56]Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets:
Meta-Solver for Neural Ordinary Differential Equations. CoRR abs/2103.08561 (2021) - [i55]Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li:
L3C-Stereo: Lossless Compression for Stereo Images. CoRR abs/2108.09422 (2021) - 2020
- [j233]Li Zhu, Chongwei Su, Jianhai Zhang, Gaochao Cui, Andrzej Cichocki, Changle Zhou, Junhua Li:
EEG-based approach for recognizing human social emotion perception. Adv. Eng. Informatics 46: 101191 (2020) - [j232]Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki:
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97(Part): 106756 (2020) - [j231]Zongmei Chen, Jing Jin, Ian Daly, Cili Zuo, Xingyu Wang, Andrzej Cichocki:
Effects of Visual Attention on Tactile P300 BCI. Comput. Intell. Neurosci. 2020: 6549189:1-6549189:11 (2020) - [j230]Qianqian Liu, Yong Jiao, Yangyang Miao, Cili Zuo, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA. Neurocomputing 378: 36-44 (2020) - [j229]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [j228]Sidney R. Lehky, Anh Huy Phan, Andrzej Cichocki, Keiji Tanaka:
Face Representations via Tensorfaces of Various Complexities. Neural Comput. 32(2): 281-329 (2020) - [j227]Farnaz Sedighin, Andrzej Cichocki, Tatsuya Yokota, Qiquan Shi:
Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction. IEEE Signal Process. Lett. 27: 810-814 (2020) - [j226]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [j225]Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4622-4636 (2020) - [c274]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020: 5758-5766 - [c273]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV (29) 2020: 522-539 - [c272]Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP 2020: 946-950 - [c271]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition. ICASSP 2020: 3917-3921 - [c270]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [i54]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka:
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). CoRR abs/2001.07124 (2020) - [i53]Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki:
Using Reinforcement Learning in the Algorithmic Trading Problem. CoRR abs/2002.11523 (2020) - [i52]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR abs/2002.12135 (2020) - [i51]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i50]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020) - [i49]Andrzej Cichocki:
On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face? CoRR abs/2008.04793 (2020) - [i48]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. CoRR abs/2008.05441 (2020) - [i47]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. CoRR abs/2011.11128 (2020) - [i46]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR abs/2012.06813 (2020)
2010 – 2019
- 2019
- [j224]Zhiwen Zhang, Feng Duan, Jordi Solé-Casals, Josep Dinarès-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun:
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals. IEEE Access 7: 15945-15954 (2019) - [j223]Jiankui Feng, Jing Jin, Ian Daly, Jiale Zhou, Yugang Niu, Xingyu Wang, Andrzej Cichocki:
An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Comput. Intell. Neurosci. 2019: 8068357:1-8068357:10 (2019) - [j222]Miaoji Guo, Jing Jin, Yong Jiao, Xingyu Wang, Andrzej Cichocki:
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface. Frontiers Comput. Neurosci. 13: 24 (2019) - [j221]Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019) - [j220]Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej Cichocki, Feng Gao:
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. Int. J. Neural Syst. 29(6): 1950002:1-1950002:15 (2019) - [j219]Jing Jin, Yangyang Miao, Ian Daly, Cili Zuo, Dewen Hu, Andrzej Cichocki:
Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks 118: 262-270 (2019) - [j218]Li Zhu, Gaochao Cui, Jianting Cao, Andrzej Cichocki, Jianhai Zhang, Changle Zhou:
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features. Sensors 19(6): 1342 (2019) - [j217]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Sensitivity in Tensor Decomposition. IEEE Signal Process. Lett. 26(11): 1653-1657 (2019) - [j216]Danilo P. Mandic, Petar M. Djuric, Andrzej Cichocki, Clive Cheong Took, Saeid Sanei, Lajos Hanzo:
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]. IEEE Signal Process. Mag. 36(5): 127-134 (2019) - [j215]Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki:
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. 49(3): 1110-1122 (2019) - [j214]Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Trans. Cybern. 49(9): 3322-3332 (2019) - [j213]Yong Jiao, Yu Zhang, Xun Chen, Erwei Yin, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Sparse Group Representation Model for Motor Imagery EEG Classification. IEEE J. Biomed. Health Informatics 23(2): 631-641 (2019) - [j212]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound. IEEE Trans. Signal Process. 67(5): 1175-1190 (2019) - [c269]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c268]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c267]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - [c266]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP 2019: 8608-8612 - [c265]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [i45]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki:
One time is not enough: iterative tensor decomposition for neural network compression. CoRR abs/1903.09973 (2019) - [i44]Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multi-Kernel Capsule Network for Schizophrenia Identification. CoRR abs/1907.12827 (2019) - [i43]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". CoRR abs/1908.02995 (2019) - [i42]Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets:
Reduced-Order Modeling of Deep Neural Networks. CoRR abs/1910.06995 (2019) - [i41]Kim Batselier, Andrzej Cichocki, Ngai Wong:
MERACLE: Constructive layer-wise conversion of a Tensor Train into a MERA. CoRR abs/1912.09775 (2019) - 2018
- [j211]Xiaowen Xu, Qiang Wu, Shuo Wang, Ju Liu, Jiande Sun, Andrzej Cichocki:
Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network. IEEE Access 6: 29297-29305 (2018) - [j210]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access 6: 58096-58105 (2018) - [j209]Jordi Solé-Casals, Cesar Federico Caiafa, Qibin Zhao, Andrzej Cichocki:
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cogn. Comput. 10(6): 1062-1074 (2018) - [j208]Rubén Martín-Clemente, Javier Olias, Deepa Beeta Thiyam, Andrzej Cichocki, Sergio Cruces:
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison. Entropy 20(1): 7 (2018) - [j207]Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki:
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces. Expert Syst. Appl. 96: 302-310 (2018) - [j206]Namgil Lee, Andrzej Cichocki:
Fundamental tensor operations for large-scale data analysis using tensor network formats. Multidimens. Syst. Signal Process. 29(3): 921-960 (2018) - [j205]Jiankui Feng, Erwei Yin, Jing Jin, Rami Saab, Ian Daly, Xingyu Wang, Dewen Hu, Andrzej Cichocki:
Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks 102: 87-95 (2018) - [j204]Wenfei Cao, Kaidong Wang, Guodong Han, Jing Yao, Andrzej Cichocki:
A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3863-3879 (2018) - [c264]Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM 2018: 412-419 - [c263]Andrzej Cichocki:
Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning. Advances in Data Analysis with Computational Intelligence Methods 2018: 3-49 - [c262]Aurélien Appriou, Andrzej Cichocki, Fabien Lotte:
Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals. CHI Extended Abstracts 2018 - [c261]Li Zhu, Fabien Lotte, Gaochao Cui, Junhua Li, Changle Zhou, Andrzej Cichocki:
Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study. CW 2018: 199-206 - [c260]Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic:
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP 2018: 6299-6303 - [c259]Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev:
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops 2018: 308-314 - [c258]Maame G. Asante-Mensah, Andrzej Cichocki:
Medical Image De-noising Using Deep Networks. ICDM Workshops 2018: 315-319 - [c257]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. ICLR (Workshop) 2018 - [i40]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR abs/1803.07226 (2018) - [i39]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - 2017
- [j203]Deepa Beeta Thiyam, Sergio Cruces, Javier Olias, Andrzej Cichocki:
Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements. Entropy 19(3): 89 (2017) - [j202]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j201]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2230-2237 (2017) - [j200]Yu Zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing 225: 103-110 (2017) - [j199]Maolin Che, Andrzej Cichocki, Yimin Wei:
Neural networks for computing best rank-one approximations of tensors and its applications. Neurocomputing 267: 114-133 (2017) - [j198]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Numerical CP decomposition of some difficult tensors. J. Comput. Appl. Math. 317: 362-370 (2017) - [j197]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Non-orthogonal tensor diagonalization. Signal Process. 138: 313-320 (2017) - [j196]Junhua Li, Chao Li, Andrzej Cichocki:
Canonical Polyadic Decomposition With Auxiliary Information for Brain-Computer Interface. IEEE J. Biomed. Health Informatics 21(1): 263-271 (2017) - [j195]Kan Xie, Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang:
Rate of Convergence of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1276-1289 (2017) - [j194]Tatsuya Yokota, Namgil Lee, Andrzej Cichocki:
Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria. IEEE Trans. Signal Process. 65(5): 1196-1206 (2017) - [j193]Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Erratum: Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy. J. Signal Process. Syst. 88(3): 469 (2017) - [c256]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Under-Determined tensor diagonalization for decomposition of difficult tensors. CAMSAP 2017: 1-4 - [c255]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization. LVA/ICA 2017: 36-46 - [c254]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition. ICASSP 2017: 2542-2546 - [c253]Anh Huy Phan, Masao Yamagishi, Andrzej Cichocki:
An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4. ICASSP 2017: 2547-2551 - [c252]Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. ICONIP (4) 2017: 589-595 - [c251]Junhua Li, Chao Li, Nitish V. Thakor, Andrzej Cichocki, Anastasios Bezerianos:
A new perspective of noise removal from EEG. NER 2017: 501-504 - [i38]Qibin Zhao, Masashi Sugiyama, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. CoRR abs/1705.08286 (2017) - [i37]Jing Jin, Brendan Z. Allison, Yu Zhang, Yan Chen, Sijie Zhou, Yi Dong, Xingyu Wang, Andrzej Cichocki:
Continuous use of ERP-based BCIs with different visual angles in ALS patients. CoRR abs/1706.09089 (2017) - [i36]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i35]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Best Rank-One Tensor Approximation and Parallel Update Algorithm for CPD. CoRR abs/1709.08336 (2017) - [i34]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Error Preserving Correction for CPD and Bounded-Norm CPD. CoRR abs/1709.08349 (2017) - 2016
- [j192]Long Chen, Jing Jin, Ian Daly, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs. Frontiers Comput. Neurosci. 10: 5 (2016) - [j191]Sijie Zhou, Brendan Z. Allison, Andrea Kübler, Andrzej Cichocki, Xingyu Wang, Jing Jin:
Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI. Frontiers Comput. Neurosci. 10: 105 (2016) - [j190]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j189]Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang:
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. Neurocomputing 198: 148-154 (2016) - [j188]Zhaoyang Qiu, Jing Jin, Hak-Keung Lam, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
Improved SFFS method for channel selection in motor imagery based BCI. Neurocomputing 207: 519-527 (2016) - [j187]Mathias Baumert, Alberto Porta, Andrzej Cichocki:
Biomedical Signal Processing: From a Conceptual Framework to Clinical Applications [Scanning the Issue]. Proc. IEEE 104(2): 220-222 (2016) - [j186]Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki:
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proc. IEEE 104(2): 310-331 (2016) - [j185]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions. SIAM J. Matrix Anal. Appl. 37(2): 598-623 (2016) - [j184]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition. IEEE Signal Process. Lett. 23(7): 993-997 (2016) - [j183]Junhua Li, Yijun Wang, Liqing Zhang, Andrzej Cichocki, Tzyy-Ping Jung:
Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks. IEEE Trans. Cogn. Dev. Syst. 8(4): 298-308 (2016) - [j182]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. 25(9): 4075-4090 (2016) - [j181]Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu:
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. IEEE Trans. Neural Networks Learn. Syst. 27(2): 210-213 (2016) - [j180]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. 27(4): 736-748 (2016) - [j179]Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2256-2267 (2016) - [j178]Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic:
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2426-2439 (2016) - [j177]Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. IEEE Trans. Signal Process. 64(20): 5423-5436 (2016) - [c250]Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI 2016: 1673-1679 - [c249]Gaochao Cui, Lihua Gui, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Bayesian CP factorization of incomplete tensor for EEG signal application. FUZZ-IEEE 2016: 2170-2173 - [c248]Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. ICASSP 2016: 819-823 - [c247]Tatsuya Yokota, Andrzej Cichocki:
Tensor completion via functional smooth component deflation. ICASSP 2016: 2514-2518 - [c246]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition. ICASSP 2016: 2549-2553 - [c245]Lihua Gui, Gaochao Cui, Qibin Zhao, Dongsheng Wang, Andrzej Cichocki, Jianting Cao:
Video denoising using low rank tensor decomposition. ICMV 2016: 103410V - [c244]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 - [c243]Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki:
Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. ICONIP (1) 2016: 138-146 - [c242]Tom Stewart, Kiyoshi Hoshino, Andrzej Cichocki, Tomasz M. Rutkowski:
Motor Priming as a Brain-Computer Interface. ICONIP (2) 2016: 538-545 - [c241]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 - [i33]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Numerical CP Decomposition of Some Difficult Tensors. CoRR abs/1603.01372 (2016) - [i32]Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
Tensor Ring Decomposition. CoRR abs/1606.05535 (2016) - [i31]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - [i30]Anh Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, Gheorghe Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition. CoRR abs/1609.09230 (2016) - [i29]Zhaoyang Qiu, Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki:
Optimized motor imagery paradigm based on imagining Chinese characters writing movement. CoRR abs/1609.09578 (2016) - 2015
- [j176]Kazuko Hiyoshi-Taniguchi, M. Kawasaki, Tatsuya Yokota, Hovagim Bakardjian, Hironori Fukuyama, Andrzej Cichocki, François B. Vialatte:
EEG Correlates of Voice and Face Emotional Judgments in the Human Brain. Cogn. Comput. 7(1): 11-19 (2015) - [j175]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. Entropy 17(5): 2988-3034 (2015) - [j174]Jing Jin, Eric W. Sellers, Sijie Zhou, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm. Int. J. Neural Syst. 25(3): 1550011:1-1550011:12 (2015) - [j173]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Feature learning from incomplete EEG with denoising autoencoder. Neurocomputing 165: 23-31 (2015) - [j172]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1751-1763 (2015) - [j171]Namgil Lee, Andrzej Cichocki:
Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format. SIAM J. Matrix Anal. Appl. 36(3): 994-1014 (2015) - [j170]Tatsuya Yokota, Rafal Zdunek, Andrzej Cichocki, Yukihiko Yamashita:
Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis. Signal Process. 113: 234-249 (2015) - [j169]Bo Li, Guoxu Zhou, Andrzej Cichocki:
Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 22(7): 843-846 (2015) - [j168]Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan:
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2): 145-163 (2015) - [j167]Auxiliadora Sarmiento, Iván Durán-Díaz, Andrzej Cichocki, Sergio Cruces:
A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 1713-1726 (2015) - [j166]Jiaxin Ma, Yu Zhang, Andrzej Cichocki, Fumitoshi Matsuno:
A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control. IEEE Trans. Biomed. Eng. 62(3): 876-889 (2015) - [j165]Tianyou Yu, Jun Xiao, Fangyi Wang, Rui Zhang, Zhenghui Gu, Andrzej Cichocki, Yuanqing Li:
Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback. IEEE Trans. Biomed. Eng. 62(7): 1706-1717 (2015) - [j164]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. 24(12): 4990-5003 (2015) - [j163]Kan Xie, Zhaoshui He, Andrzej Cichocki:
Convergence Analysis of the FOCUSS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(3): 601-613 (2015) - [j162]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections. IEEE Trans. Signal Process. 63(3): 780-793 (2015) - [j161]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm. IEEE Trans. Signal Process. 63(22): 5924-5938 (2015) - [j160]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis. IEEE Trans. Signal Process. 63(22): 5939-5950 (2015) - [c240]Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo:
Multi-tensor Completion with Common Structures. AAAI 2015: 2743-2749 - [c239]Tatsuya Yokota, Andrzej Cichocki:
A fast automatic low-rank determination algorithm for noisy matrix completion. APSIPA 2015: 43-46 - [c238]C.-Y. Chiang, Andrzej Cichocki, Shobha Erramilli, K. McInerney, David Shur, Shoshana Loeb:
Prediction of online game performance degradation under network impairments. CCNC 2015: 720-725 - [c237]Wei Chen, Chia-Ping Shen, Ming-Jang Chiu, Qibin Zhao, Andrzej Cichocki, Jeng-Wei Lin, Feipei Lai:
Epileptic EEG visualization and sonification based on linear discriminate analysis. EMBC 2015: 4466-4469 - [c236]Petr Tichavský, Anh Huy Phan, Andrzej S. Cichocki:
Two-sided diagonalization of order-three tensors. EUSIPCO 2015: 993-997 - [c235]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Rank Splitting for CANDECOMP/PARAFAC. LVA/ICA 2015: 31-40 - [c234]Guoxu Zhou, Andrzej Cichocki, Danilo P. Mandic:
Common components analysis via linked blind source separation. ICASSP 2015: 2150-2154 - [c233]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low rank tensor deconvolution. ICASSP 2015: 2169-2173 - [c232]Tomasz M. Rutkowski, Kensuke Shimizu, Takumi Kodama, Peter Jurica, Andrzej Cichocki:
Brain-Robot Interfaces Using Spatial Tactile BCI Paradigms - Symbiotic Brain-Robot Applications. Symbiotic 2015: 132-137 - [i28]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR abs/1503.01868 (2015) - [i27]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion. CoRR abs/1505.02343 (2015) - [i26]Tatsuya Yokota, Qibin Zhao, Chao Li, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. CoRR abs/1505.06611 (2015) - [i25]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions. CoRR abs/1506.01959 (2015) - [i24]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting. CoRR abs/1506.04971 (2015) - [i23]Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki:
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data. CoRR abs/1508.07416 (2015) - 2014
- [j159]Zhaohui Wu, Gang Pan, José Carlos Príncipe, Andrzej Cichocki:
Cyborg Intelligence: Towards Bio-Machine Intelligent Systems. IEEE Intell. Syst. 29(6): 2-4 (2014) - [j158]Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki:
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. Int. J. Neural Syst. 24(1) (2014) - [j157]Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis. Int. J. Neural Syst. 24(4) (2014) - [j156]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) - [j155]Jing Jin, Brendan Z. Allison, Yu Zhang, Xingyu Wang, Andrzej Cichocki:
An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions. Int. J. Neural Syst. 24(8) (2014) - [j154]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition. Neurocomputing 129: 17-24 (2014) - [j153]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. 31(3): 54-65 (2014) - [j152]Yunjun Nam, Bonkon Koo, Andrzej Cichocki, Seungjin Choi:
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. 61(2): 453-462 (2014) - [j151]Yohei Tomita, François-Benoît Vialatte, Gérard Dreyfus, Yasue Mitsukura, Hovagim Bakardjian, Andrzej Cichocki:
Bimodal BCI Using Simultaneously NIRS and EEG. IEEE Trans. Biomed. Eng. 61(4): 1274-1284 (2014) - [j150]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. WIREs Data Mining Knowl. Discov. 4(2): 104-115 (2014) - [c231]Motoaki Mouri, Ichi Takumi, Hiroshi Yasukawa, Andrzej Cichocki:
Revising algorithm for nonnegative matrix factorization based on minimizing quasi-L1 norm. APCCAS 2014: 767-770 - [c230]Rafal Zdunek, Andrzej Cichocki, Tatsuya Yokota:
B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization. ICAISC (2) 2014: 72-81 - [c229]Shashank Jere, Justin Dauwels, Muhammad Tayyab Asif, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Extracting commuting patterns in railway networks through matrix decompositions. ICARCV 2014: 541-546 - [c228]Justin Dauwels, Aamer Aslam, Muhammad Tayyab Asif, Xinyue Zhao, Nikola Mitrovic, Andrzej Cichocki, Patrick Jaillet:
Predicting traffic speed in urban transportation subnetworks for multiple horizons. ICARCV 2014: 547-552 - [c227]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki:
Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP 2014: 1265-1269 - [c226]Jing Jin, Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
Synchrony analysis of paroxysmal gamma waves in meditation EEG. ICASSP 2014: 4703-4707 - [c225]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Deflation method for CANDECOMP/PARAFAC tensor decomposition. ICASSP 2014: 6736-6740 - [c224]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský:
On Fast algorithms for orthogonal Tucker decomposition. ICASSP 2014: 6766-6770 - [c223]Cesar Federico Caiafa, Andrzej Cichocki:
Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements. ICASSP 2014: 6790-6794 - [c222]Tatsuya Yokota, Andrzej Cichocki:
Linked Tucker2 Decomposition for Flexible Multi-block Data Analysis. ICONIP (3) 2014: 111-118 - [c221]Junhua Li, Andrzej Cichocki:
Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG. ICONIP (1) 2014: 503-510 - [c220]Qiang Wu, Ju Liu, Feng-rong Sun, Jie Li, Andrzej Cichocki:
Nonnegative Shifted Tensor Factorization in time frequency domain. IJCNN 2014: 3009-3014 - [c219]Namgil Lee, Andrzej Cichocki:
Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition. ISNN 2014: 121-130 - [c218]Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki:
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN 2014: 459-468 - [c217]Gaochao Cui, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
Hybrid-BCI: Classification of auditory and visual related potentials. SCIS&ISIS 2014: 297-300 - [c216]Tatsuya Yokota, Andrzej Cichocki:
Multilinear tensor rank estimation via Sparse Tucker Decomposition. SCIS&ISIS 2014: 478-483 - [c215]Chao Li, Lili Guo, Andrzej Cichocki:
Multi-tensor completion for estimating missing values in video data. SCIS&ISIS 2014: 1339-1342 - [i22]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. CoRR abs/1401.6497 (2014) - [i21]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Tensor diagonalization - a new tool for PARAFAC and block-term decomposition. CoRR abs/1402.1673 (2014) - [i20]Andrzej Cichocki:
Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions. CoRR abs/1403.2048 (2014) - [i19]Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer:
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR abs/1403.4462 (2014) - [i18]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR abs/1404.4412 (2014) - [i17]Namgil Lee, Andrzej Cichocki:
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats. CoRR abs/1405.7786 (2014) - [i16]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections. CoRR abs/1406.3295 (2014) - [i15]Andrzej Cichocki:
Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems. CoRR abs/1407.3124 (2014) - [i14]Chao Li, Lili Guo, Andrzej Cichocki:
Multi-tensor Completion for Estimating Missing Values in Video Data. CoRR abs/1409.0347 (2014) - [i13]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Feature Learning from Incomplete EEG with Denoising Autoencoder. CoRR abs/1410.0818 (2014) - [i12]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR abs/1410.2386 (2014) - [i11]Junhua Li, Chao Li, Andrzej Cichocki:
Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface. CoRR abs/1410.6313 (2014) - [i10]Namgil Lee, Andrzej Cichocki:
Very Large-Scale Singular Value Decomposition Using Tensor Train Networks. CoRR abs/1410.6895 (2014) - [i9]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Decomposition of Big Tensors With Low Multilinear Rank. CoRR abs/1412.1885 (2014) - [i8]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. CoRR abs/1412.7146 (2014) - 2013
- [j149]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomed. Signal Process. Control. 8(6): 755-763 (2013) - [j148]Abhijit Mandal, Andrzej Cichocki:
Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence. Entropy 15(7): 2788-2804 (2013) - [j147]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) - [j146]Cesar F. Caiafa, Andrzej Cichocki:
Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. Neural Comput. 25(1): 186-220 (2013) - [j145]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j144]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC. SIAM J. Matrix Anal. Appl. 34(1): 126-147 (2013) - [j143]Zbynek Koldovský, Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
A Two-Stage MMSE Beamformer for Underdetermined Signal Separation. IEEE Signal Process. Lett. 20(12): 1227-1230 (2013) - [j142]Saeid Sanei, Saideh Ferdowsi, Kianoush Nazarpour, Andrzej Cichocki:
Advances in Electroencephalography Signal Processing [Life Sciences]. IEEE Signal Process. Mag. 30(1): 170-176 (2013) - [j141]Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki:
Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. IEEE Signal Process. Mag. 30(4): 137-148 (2013) - [j140]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions. IEEE J. Biomed. Health Informatics 17(3): 708-714 (2013) - [j139]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Accelerated Canonical Polyadic Decomposition Using Mode Reduction. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2051-2062 (2013) - [j138]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations. IEEE Trans. Signal Process. 61(19): 4834-4846 (2013) - [j137]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping. IEEE Trans. Signal Process. 61(19): 4847-4860 (2013) - [j136]Cesar F. Caiafa, Andrzej Cichocki:
Multidimensional compressed sensing and their applications. WIREs Data Mining Knowl. Discov. 3(6): 355-380 (2013) - [c214]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. AAAI 2013: 1041-1047 - [c213]Gaochao Cui, Yunchao Yin, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Patients' consciousness analysis using dynamic approximate entropy and MEMD method. APSIPA 2013: 1-5 - [c212]Mehran Amadlou, Kazuko Hiyoshi-Taniguchi, Jordi Solé-Casals, Hironori Fukuyama, Andrzej Cichocki, François-Benoît Vialatte:
Differences of Functional Connectivity Brain Network in Emotional Judgment. BIOSIGNALS 2013: 276-279 - [c211]Yunjun Nam, Andrzej Cichocki, Seungjin Choi:
Common spatial patterns for steady-state somatosensory evoked potentials. EMBC 2013: 2255-2258 - [c210]Ante Jukic, Ivica Kopriva, Andrzej Cichocki:
Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. EUSIPCO 2013: 1-5 - [c209]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
GNMF with Newton-Based Methods. ICANN 2013: 90-97 - [c208]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Rafal Zdunek, Sidney R. Lehky:
From basis components to complex structural patterns. ICASSP 2013: 3228-3232 - [c207]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Gheorghe Luta, Austin J. Brockmeier:
Tensor completion throughmultiple Kronecker product decomposition. ICASSP 2013: 3233-3237 - [c206]Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki:
Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP 2013: 3577-3581 - [c205]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition. ICASSP 2013: 5964-5968 - [c204]Austin J. Brockmeier, José C. Príncipe, Anh Huy Phan, Andrzej Cichocki:
A greedy algorithm for model selection of tensor decompositions. ICASSP 2013: 6113-6117 - [c203]Chung-Min Chen, Andrzej Cichocki, Allen McIntosh, Euthimios Panagos:
Privacy-protecting index for outsourced databases. ICDE Workshops 2013: 83-87 - [c202]Junhua Li, Zbigniew R. Struzik, Liqing Zhang, Andrzej Cichocki:
Spectral Power Estimation for Unevenly Spaced Motor Imagery Data. ICONIP (1) 2013: 168-175 - [c201]Jiaxin Ma, Yu Zhang, Yunjun Nam, Andrzej Cichocki, Fumitoshi Matsuno:
EOG/ERP hybrid human-machine interface for robot control. IROS 2013: 859-864 - [i7]Andrzej Cichocki:
Tensor Decompositions: A New Concept in Brain Data Analysis? CoRR abs/1305.0395 (2013) - 2012
- [j135]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) - [j134]Anh Huy Phan, Andrzej Cichocki:
Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations - A novel recursive solution for nonnegative quadratic programming and NTF. Neural Comput. Appl. 21(4): 623-637 (2012) - [j133]Justin Dauwels, Theophane Weber, François B. Vialatte, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence, Part III: N > 2 Point Processes. Neural Comput. 24(2): 408-454 (2012) - [j132]Guoxu Zhou, Andrzej Cichocki:
Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation. IEEE Signal Process. Lett. 19(8): 523-526 (2012) - [j131]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. 59(1): 290-299 (2012) - [j130]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation. IEEE Trans. Signal Process. 60(6): 2928-2940 (2012) - [c200]Qibin Zhao, Liqing Zhang, Jianting Cao, Andrzej Cichocki:
Higher-order PLS for classification of ERPs with application to BCIs. APSIPA 2012: 1-5 - [c199]Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki:
Canonical Polyadic Decomposition: From 3-way to N-Way. CIS 2012: 391-395 - [c198]Esteve Gallego-Jutglà, Mohamed Elgendi, François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands. EMBC 2012: 4266-4270 - [c197]Marko Filipovic, Ivica Kopriva, Andrzej Cichocki:
Inpainting color images in learned dictionary. EUSIPCO 2012: 66-70 - [c196]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 - [c195]Zbynek Koldovský, Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
A treatment of EEG data by underdetermined blind source separation for motor imagery classification. EUSIPCO 2012: 1484-1488 - [c194]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 - [c193]Yu Zhang, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki:
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. FSKD 2012: 891-895 - [c192]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Zbynek Koldovský:
On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations. LVA/ICA 2012: 288-296 - [c191]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka:
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 - [c190]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 - [c189]Akinari Onishi, Anh Huy Phan, Kiyotoshi Matsuoka, Andrzej Cichocki:
Tensor classification for P300-based brain computer interface. ICASSP 2012: 581-584 - [c188]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on 3D decompositions. ICASSP 2012: 637-640 - [c187]Hiroshi Higashi, Andrzej Cichocki, Toshihisa Tanaka:
Regularization using geometric information between sensors capturing features from brain signals. ICASSP 2012: 721-724 - [c186]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki, Zbynek Koldovský:
Low-rank blind nonnegative matrix deconvolution. ICASSP 2012: 1893-1896 - [c185]Cesar F. Caiafa, Andrzej Cichocki:
Block sparse representations of tensors using Kronecker bases. ICASSP 2012: 2709-2712 - [c184]Tatsuya Yokota, Andrzej Cichocki, Yukihiko Yamashita:
Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis. ICONIP (3) 2012: 84-91 - [c183]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 - [c182]Esteve Gallego-Jutglà, Tomasz M. Rutkowski, Andrzej Cichocki, Jordi Solé-Casals:
EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition. IJCCI 2012: 670-676 - [c181]Jaroslav Rokicki, Kazuko Hiyoshi, François-Benoît Vialatte, Andrius Usinskas, Andrzej Cichocki:
Early Alzheimer's Disease Progression Detection using Multi-subnetworks of the Brain. IJCCI 2012: 684-691 - [c180]Kazuko Hiyoshi-Taniguchi, M. Kawasaki, Tatsuya Yokota, Hovagim Bakardjian, Hironori Fukuyama, François B. Vialatte, Andrzej Cichocki:
EEG Beta Range Dynamics and Emotional Judgments of Face and Voices. IJCCI 2012: 738-740 - [c179]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
Non-linear filter based outer product expansion with reference signal for EEG analysis. ISCAS 2012: 345-348 - [c178]Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki:
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP 2012: 1-6 - [e1]Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky:
Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings. Lecture Notes in Computer Science 7191, Springer 2012, ISBN 978-3-642-28550-9 [contents] - [i6]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms. CoRR abs/1204.1586 (2012) - [i5]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC. CoRR abs/1205.2584 (2012) - [i4]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - [i3]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction. CoRR abs/1211.3500 (2012) - [i2]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
CANDECOMP/PARAFAC Decomposition of High-order Tensors Through Tensor Reshaping. CoRR abs/1211.3796 (2012) - [i1]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Common and Individual Features Analysis: Beyond Canonical Correlation Analysis. CoRR abs/1212.3913 (2012) - 2011
- [j129]Tomasz M. Rutkowski, Andrzej Cichocki, Danilo P. Mandic, Toyoaki Nishida:
Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach. AI Soc. 26(3): 301-315 (2011) - [j128]Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, Jianting Cao, Danilo P. Mandic:
Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms. Comput. Hum. Behav. 27(5): 1512-1518 (2011) - [j127]Fabio Babiloni, Andrzej Cichocki, Saeid Sanei, Laura Astolfi, Febo Cincotti, Sara González Andino:
Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing. Comput. Intell. Neurosci. 2011: 913040:1-913040:3 (2011) - [j126]Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari:
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy 13(1): 134-170 (2011) - [j125]Sergio Cruces, Andrzej Cichocki:
Comment on "Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition". Neurocomputing 74(5): 863-865 (2011) - [j124]Anh Huy Phan, Andrzej Cichocki:
Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification. Neurocomputing 74(11): 1956-1969 (2011) - [j123]Anh Huy Phan, Andrzej Cichocki:
PARAFAC algorithms for large-scale problems. Neurocomputing 74(11): 1970-1984 (2011) - [j122]Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki:
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks 22(12): 2117-2131 (2011) - [c177]Hiroshi Higashi, Tomasz M. Rutkowski, Yoshikazu Washizawa, Andrzej Cichocki, Toshihisa Tanaka:
EEG auditory steady state responses classification for the novel BCI. EMBC 2011: 4576-4579 - [c176]Mohamed Elgendi, François B. Vialatte, Andrzej Cichocki, Charles-François Vincent Latchoumane, Jaeseung Jeong, Justin Dauwels:
Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. EMBC 2011: 6087-6091 - [c175]Thomas Villmann, José C. Príncipe, Andrzej Cichocki:
Information theory related learning. ESANN 2011 - [c174]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
A saccade-related noise reduction in EEG signals using outer product expansion with reference signal. EUSIPCO 2011: 1559-1563 - [c173]Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki:
Multi-channel EEG compression based on matrix and tensor decompositions. ICASSP 2011: 629-632 - [c172]Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka, Jianting Cao:
Novel hierarchical ALS algorithm for nonnegative tensor factorization. ICASSP 2011: 1984-1987 - [c171]Anh Huy Phan, Petr Tichavský, Andrzej Cichocki:
Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization. ICASSP 2011: 1988-1991 - [c170]Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki:
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. ICONIP (1) 2011: 279-286 - [c169]Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. ICONIP (1) 2011: 287-295 - [c168]Arao Funase, Andrzej Cichocki, Ichi Takumi:
Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements. ICONIP (1) 2011: 322-328 - [c167]Qiang Wu, Liqing Zhang, Andrzej Cichocki:
A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition. ICONIP (2) 2011: 663-670 - [c166]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa:
Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm. IGARSS 2011: 1846-1849 - [c165]Yohei Tomita, Antoine Gaume, Hovagim Bakardjian, Monique Maurice, Andrzej Cichocki, Yoko Yamaguchi, Gérard Dreyfus, François-Benoît Maurice:
Concatenation Method for High-temporal Resolution SSVEP-BCI. IJCCI (NCTA) 2011: 444-452 - [c164]Esteve Gallego-Jutglà, Jordi Solé-Casals, Tomasz M. Rutkowski, Andrzej Cichocki:
Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals. IJCCI (NCTA) 2011: 455-460 - [c163]Kazuko Hiyoshi-Taniguchi, François-Benoît Vialatte, M. Kawasaki, Hironori Fukuyama, Andrzej Cichocki:
Neurodynamics of Emotional Judgments in the Human Brain. IJCCI (NCTA) 2011: 461-464 - [c162]Ta Chen, Andrzej Cichocki, Sharanya Eswaran, Vikram Kaul, Yow-Jian Lin, Sunil Samtani, David Shur, Jeffrey Bowcock:
Advances in content transformation in heterogeneous tactical wireless networks. MILCOM 2011: 1574-1579 - [c161]Fengyu Cong, Zhaoshui He, Jarmo A. Hämäläinen, Andrzej Cichocki, Tapani Ristaniemi:
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection. MLSP 2011: 1-6 - [c160]Justin Dauwels, Hang Yu, Xueou Wang, François B. Vialatte, Charles-François Vincent Latchoumane, Jaeseung Jeong, Andrzej Cichocki:
Inferring Brain Networks through Graphical Models with Hidden Variables. MLINI 2011: 194-201 - [c159]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - 2010
- [j121]Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010) - [j120]Anh Huy Andrzej, Andrzej Cichocki, Thanh Vu Dinh:
Nonnegative DEDICOM Based On Tensor Decompositions for Social Networks Exploration. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j119]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
Damped Newton Iterations for Nonnegative Matrix Factorization. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j118]Theodore W. Berger, Zhe (Sage) Chen, Andrzej Cichocki, Karim G. Oweiss, Rodrigo Quian Quiroga, Nitish V. Thakor:
Signal Processing for Neural Spike Trains. Comput. Intell. Neurosci. 2010: 698751:1-698751:2 (2010) - [j117]Andrzej Cichocki, Shun-ichi Amari:
Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities. Entropy 12(6): 1532-1568 (2010) - [j116]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. J. Circuits Syst. Comput. 19(1): 215-229 (2010) - [j115]Justin Dauwels, François-Benoît Vialatte, Toshimitsu Musha, Andrzej Cichocki:
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. NeuroImage 49(1): 668-693 (2010) - [j114]Zhaoshui He, Andrzej Cichocki, Shengli Xie, Kyuwan Choi:
Detecting the Number of Clusters in n-Way Probabilistic Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 32(11): 2006-2021 (2010) - [j113]Shoji Makino, Andrzej Cichocki, Wei Xing Zheng, Aurelio Uncini:
Guest Editorial Special Section on Blind Signal Processing and Its Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1401-1403 (2010) - [j112]Soroush Javidi, Danilo P. Mandic, Andrzej Cichocki:
Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1404-1416 (2010) - [j111]Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki:
Blind extraction of global signal from multi-channel noisy observations. IEEE Trans. Neural Networks 21(9): 1472-1481 (2010) - [c158]François-Benoît Vialatte, Charles-François Vincent Latchoumane, Nigel R. Hudson, Sunil Wimalaratna, Jordi Solé-Casals, Jaeseung Jeong, Andrzej Cichocki:
Sparse Bump Modeling of mildAD Patients - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer's Disease. BIOSIGNALS 2010: 478-483 - [c157]Jordi Solé-Casals, François B. Vialatte, Johannes Pantel, David Prvulovic, Corinna Haenschel, Andrzej Cichocki:
ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection. BIOSIGNALS 2010: 484-489 - [c156]Akitoshi Itai, Arao Funase, Andrzej Cichocki, Hiroshi Yasukawa:
EOG-related noise rejection in EEG signal with eye movement task by tensor product expansion with absolute error. EUSIPCO 2010: 706-710 - [c155]Ivica Kopriva, Andrzej Cichocki:
Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain. LVA/ICA 2010: 490-497 - [c154]Fengyu Cong, Anh Huy Phan, Heikki Lyytinen, Tapani Ristaniemi, Andrzej Cichocki:
Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. LVA/ICA 2010: 620-628 - [c153]Rafal Zdunek, Andrzej Cichocki:
Sequential Coordinate-Wise DNMF for Face Recognition. ICAISC (1) 2010: 563-570 - [c152]Satish G. Iyengar, Justin Dauwels, Pramod K. Varshney, Andrzej Cichocki:
Quantifying EEG synchrony using copulas. ICASSP 2010: 505-508 - [c151]Md. Khademul Islam Molla, Toshihisa Tanaka, Tomasz M. Rutkowski, Andrzej Cichocki:
Separation of EOG artifacts from EEG signals using bivariate EMD. ICASSP 2010: 562-565 - [c150]Yoshikazu Washizawa, Hiroshi Higashi, Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki:
Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification. ICONIP (2) 2010: 26-33 - [c149]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41 - [c148]Arao Funase, Motoaki Mouri, Andrzej Cichocki, Ichi Takumi:
Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis. ICONIP (2) 2010: 74-81 - [c147]Anh Huy Phan, Andrzej Cichocki, Rafal Zdunek, Thanh Vu Dinh:
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations. ICONIP (1) 2010: 262-269 - [c146]Fengyu Cong, Anh Huy Phan, Andrzej Cichocki, Heikki Lyytinen, Tapani Ristaniemi:
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. IJCNN 2010: 1-5 - [c145]Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, Andrzej Cichocki:
Reduction of broadband noise in speech signals by multilinear subspace analysis. INTERSPEECH 2010: 965-968 - [c144]Fengyu Cong, Igor Kalyakin, Anh Huy Phan, Andrzej Cichocki, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. ISNN (2) 2010: 385-391
2000 – 2009
- 2009
- [b3]Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley 2009, ISBN 978-0-470-74666-0 - [j110]Laura Astolfi, Andrzej Cichocki, Fabio Babiloni:
NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity. Comput. Intell. Neurosci. 2009: 275638:1-275638:2 (2009) - [j109]Andrzej Cichocki, Anh Huy Phan:
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(3): 708-721 (2009) - [j108]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus. Neurocomputing 72(7-9): 1575-1583 (2009) - [j107]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009) - [j106]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes. Neural Comput. 21(8): 2152-2202 (2009) - [j105]Justin Dauwels, François B. Vialatte, Theophane Weber, Toshimitsu Musha, Andrzej Cichocki:
Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes. Neural Comput. 21(8): 2203-2268 (2009) - [j104]Cesar F. Caiafa, Andrzej Cichocki:
Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP. Neural Comput. 21(12): 3487-3518 (2009) - [j103]Zhaoshui He, Andrzej Cichocki, Yuanqing Li, Shengli Xie, Saeid Sanei:
K-hyperline clustering learning for sparse component analysis. Signal Process. 89(6): 1011-1022 (2009) - [j102]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Shengli Xie:
Improved FOCUSS Method With Conjugate Gradient Iterations. IEEE Trans. Signal Process. 57(1): 399-404 (2009) - [j101]Wenwu Wang, Andrzej Cichocki, Jonathon A. Chambers:
A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance. IEEE Trans. Signal Process. 57(7): 2858-2864 (2009) - [c143]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination. BIOSIGNALS 2009: 468-475 - [c142]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Implementation of matrix factorization based on minimizing quasi-absolute distance for electromagnetic global signal elimination. EUSIPCO 2009: 446-450 - [c141]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu:
Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 - [c140]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear generalization of Common Spatial Pattern. ICASSP 2009: 525-528 - [c139]Saeid Sanei, Anh Huy Phan, Jen-Lung Lo, Vahid Abolghasemi, Andrzej Cichocki:
A compressive sensing approach for progressive transmission of images. DPS 2009: 1-5 - [c138]Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan:
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. ICONIP (1) 2009: 221-228 - [c137]Anh Huy Phan, Andrzej Cichocki:
Advances in PARAFAC Using Parallel Block Decomposition. ICONIP (1) 2009: 323-330 - [c136]Arao Funase, Motoaki Mouri, Andrzej Cichocki, Ichi Takumi:
Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals. ICONIP (1) 2009: 409-416 - [c135]Anh Huy Phan, Andrzej Cichocki:
Local Learning Rules for Nonnegative Tucker Decomposition. ICONIP (1) 2009: 538-545 - [c134]Yoshikazu Washizawa, Yukihiko Yamashita, Andrzej Cichocki:
Blind Source Extraction using Spatio-temporal Inverse Filter. ISCAS 2009: 2786-2789 - 2008
- [j100]François B. Vialatte, Andrzej Cichocki:
Split-test Bonferroni correction for QEEG statistical maps. Biol. Cybern. 98(4): 295-303 (2008) - [j99]Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek:
Advances in Nonnegative Matrix and Tensor Factorization. Comput. Intell. Neurosci. 2008 (2008) - [j98]Rafal Zdunek, Andrzej Cichocki:
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems. Comput. Intell. Neurosci. 2008 (2008) - [j97]Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [j96]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(8): 1875-1882 (2008) - [j95]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with quadratic programming. Neurocomputing 71(10-12): 2309-2320 (2008) - [j94]Yoshikazu Washizawa, Andrzej Cichocki:
Sparse blind identification and separation by using adaptive K-orthodrome clustering. Neurocomputing 71(10-12): 2321-2329 (2008) - [j93]Tülay Adali, Z. Jane Wang, Martin J. McKeown, Philippe Ciuciu, Lars Kai Hansen, Andrzej Cichocki, Vincent D. Calhoun:
Introduction to the Issue on fMRI Analysis for Human Brain Mapping. IEEE J. Sel. Top. Signal Process. 2(6): 813-816 (2008) - [j92]Zhaoshui He, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations. Neural Comput. 20(3): 636-643 (2008) - [j91]Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A new nonlinear similarity measure for multichannel signals. Neural Networks 21(2-3): 222-231 (2008) - [j90]Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - [j89]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorization [Lecture Notes]. IEEE Signal Process. Mag. 25(1): 142-145 (2008) - [j88]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan:
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. IEEE Trans. Neural Networks 19(12): 2009-2021 (2008) - [j87]Rafal Zdunek, Andrzej Cichocki:
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals. IEEE Trans. Signal Process. 56(10-1): 4752-4761 (2008) - [c133]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
Analyzing brain signals by combinatorial optimization. Allerton 2008: 1381-1388 - [c132]Jordi Solé i Casals, François B. Vialatte, Zhe (Sage) Chen, Andrzej Cichocki:
Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease. BIOSIGNALS (1) 2008: 232-235 - [c131]Scott Rickard, Andrzej Cichocki:
When is non-negative matrix decomposition unique? CISS 2008: 1091-1092 - [c130]Pablo Martinez Vasquez, Hovagim Bakardjian, Montserrat Vallverdú, Andrzej Cichocki:
Fast Multi-command SSVEP Brain Machine Interface without Training. ICANN (2) 2008: 300-307 - [c129]Justin Dauwels, Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki:
On the synchrony of empirical mode decompositions with application to electroencephalography. ICASSP 2008: 473-476 - [c128]Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832 - [c127]Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski:
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) 2008: 122-129 - [c126]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
On Similarity Measures for Spike Trains. ICONIP (1) 2008: 177-185 - [c125]François B. Vialatte, Justin Dauwels, Jordi Solé i Casals, Monique Maurice, Andrzej Cichocki:
Improved Sparse Bump Modeling for Electrophysiological Data. ICONIP (1) 2008: 224-231 - [c124]Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki:
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. ICONIP (1) 2008: 318-326 - [c123]François B. Vialatte, Monique Maurice, Justin Dauwels, Andrzej Cichocki:
Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz). ICONIP (1) 2008: 400-407 - [c122]Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic:
Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460 - [c121]Justin Dauwels, Yuki Tsukada, Yuichi Sakumura, Shin Ishii, Kazuhiro Aoki, Takeshi Nakamura, Michiyuki Matsuda, François B. Vialatte, Andrzej Cichocki:
On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. ICONIP (1) 2008: 469-477 - [c120]François B. Vialatte, Jordi Solé i Casals, Monique Maurice, Charles-François Vincent Latchoumane, Nigel R. Hudson, Sunil Wimalaratna, Jaeseung Jeong, Andrzej Cichocki:
Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA. ICONIP (2) 2008: 979-986 - [c119]Arao Funase, Motoaki Mouri, Tohru Yagi, Andrzej Cichocki, Ichi Takumi:
Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI. ICONIP (2) 2008: 1021-1028 - [c118]Kyuwan Choi, Andrzej Cichocki:
Control of a Wheelchair by Motor Imagery in Real Time. IDEAL 2008: 330-337 - [c117]Motoaki Mouri, Arao Funase, Ichi Takumi, Andrzej Cichocki, Hiroshi Yasukawa, Masayasu Hata:
Improvement of Earthquake Prediction by using Global Signal Elimination from Environmental Electromagnetic Signals. IGARSS (5) 2008: 566-569 - [c116]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM classifier for localization of epileptic focus on the basis of EEG. IJCNN 2008: 189-194 - [c115]Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li:
Incremental Common Spatial Pattern algorithm for BCI. IJCNN 2008: 2656-2659 - [c114]Rafal Zdunek, Zhaoshui He, Andrzej Cichocki:
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm. ISBI 2008: 768-771 - [c113]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao:
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. ISNN (1) 2008: 237-245 - [c112]Anh Huy Phan, Andrzej Cichocki:
Fast and Efficient Algorithms for Nonnegative Tucker Decomposition. ISNN (2) 2008: 772-782 - [c111]Charles-François Vincent Latchoumane, François B. Vialatte, Jaeseung Jeong, Andrzej Cichocki:
EEG Classification of Mild and Severe Alzheimer's Disease Using Parallel Factor Analysis Method. World Congress on Engineering (Selected Papers) 2008: 705-715 - 2007
- [j86]Dimitrios Georgakopoulos, Donald Baker, Marian H. Nodine, Andrzej Cichocki:
Event-driven Video Awareness Providing Physical Security. World Wide Web(1): 85-109 (2007) - [j85]Fabio Babiloni, Andrzej Cichocki, Shangkai Gao:
Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications. Comput. Intell. Neurosci. 2007 (2007) - [j84]Zhe Chen, Shinji Ohara, Jianting Cao, François-Benoît Vialatte, Fred Lenz, Andrzej Cichocki:
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans. Comput. Intell. Neurosci. 2007 (2007) - [j83]Andrzej Cichocki, Saeid Sanei:
EEG/MEG Signal Processing. Comput. Intell. Neurosci. 2007 (2007) - [j82]Pablo Martinez, Hovagim Bakardjian, Andrzej Cichocki:
Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm. Comput. Intell. Neurosci. 2007 (2007) - [j81]Wei Lee Woon, Andrzej Cichocki:
Novel Features for Brain-Computer Interfaces. Comput. Intell. Neurosci. 2007 (2007) - [j80]Pando G. Georgiev, Panos M. Pardalos, Andrzej Cichocki:
Algorithms with high order convergence speed for blind source extraction. Comput. Optim. Appl. 38(1): 123-131 (2007) - [j79]Andrzej Cichocki, Frank Ehlers:
Advances in Blind Source Separation. EURASIP J. Adv. Signal Process. 2007 (2007) - [j78]Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
Robust Sparse Component Analysis Based on a Generalized Hough Transform. EURASIP J. Adv. Signal Process. 2007 (2007) - [j77]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - [j76]Andrzej Cichocki, Rafal Zdunek:
Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches. Int. J. Neural Syst. 17(6): 431-446 (2007) - [j75]Abd-Krim Seghouane, Andrzej Cichocki:
Bayesian estimation of the number of principal components. Signal Process. 87(3): 562-568 (2007) - [j74]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with constrained second-order optimization. Signal Process. 87(8): 1904-1916 (2007) - [j73]Zhaoshui He, Shengli Xie, Shuxue Ding, Andrzej Cichocki:
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation. IEEE Trans. Speech Audio Process. 15(5): 1551-1563 (2007) - [j72]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Trans. Neural Networks 18(5): 1505-1510 (2007) - [j71]Da-Zheng Feng, Wei Xing Zheng, Andrzej Cichocki:
Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals. IEEE Trans. Signal Process. 55(3): 962-977 (2007) - [j70]Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy. J. VLSI Signal Process. 48(1-2): 83-97 (2007) - [c110]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Applying Non-negative Matrix Factorization for global signal elimination from electromagnetic signals. EUSIPCO 2007: 2444-2448 - [c109]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. ICA 2007: 169-176 - [c108]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) 2007: 271-280 - [c107]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine. ICANNGA (2) 2007: 373-381 - [c106]François B. Vialatte, Jordi Solé-Casals, Andrzej Cichocki:
EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts. ICASSP (4) 2007: 1161-1164 - [c105]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Novel Measure for Synchrony and its Application to Neural Signals. ICASSP (4) 2007: 1165-1168 - [c104]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c103]Beth Jelfs, Danilo P. Mandic, Andrzej Cichocki:
A Unifying Approach to the Derivation of the Class of PNLMS Algorithms. DSP 2007: 35-38 - [c102]Justin Dauwels, François B. Vialatte, Andrzej Cichocki:
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG. ICONIP (1) 2007: 112-125 - [c101]Rafal Zdunek, Andrzej Cichocki:
Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing. ICONIP (2) 2007: 519-528 - [c100]Marko Jankovic, Pablo Martinez, Zhe (Sage) Chen, Andrzej Cichocki:
Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis. ICONIP (1) 2007: 527-536 - [c99]Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Shun-ichi Amari:
Sparse Super Symmetric Tensor Factorization. ICONIP (1) 2007: 781-790 - [c98]Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqing Zhang:
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation. ICONIP (1) 2007: 811-820 - [c97]Jian-Wu Xu, Hovagim Bakardjian, Andrzej Cichocki, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN 2007: 2046-2051 - [c96]Andrzej Cichocki, Rafal Zdunek:
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization. ISNN (3) 2007: 793-802 - [c95]Zhaoshui He, Andrzej Cichocki:
An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis. ISNN (2) 2007: 1032-1041 - [c94]Justin Dauwels, François B. Vialatte, Tomasz M. Rutkowski, Andrzej Cichocki:
Measuring Neural Synchrony by Message Passing. NIPS 2007: 361-368 - 2006
- [j69]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Process. Lett. 24(1): 53-65 (2006) - [j68]Wakako Nakamura, Kimitaka Anami, Takeyuki Mori, Osamu Saitoh, Andrzej Cichocki, Shun-ichi Amari:
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE Trans. Biomed. Eng. 53(7): 1294-1308 (2006) - [j67]Shuxue Ding, Jie Huang, Daming Wei, Andrzej Cichocki:
A near real-time approach for convolutive blind source separation. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(1): 114-128 (2006) - [j66]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures. IEEE Trans. Circuits Syst. II Express Briefs 53-II(9): 931-935 (2006) - [j65]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Cuntai Guan:
Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation. IEEE Trans. Inf. Theory 52(7): 3139-3152 (2006) - [j64]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. IEEE Trans. Neural Networks 17(2): 419-431 (2006) - [j63]Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Daniel W. C. Ho, Shengli Xie:
Underdetermined blind source separation based on sparse representation. IEEE Trans. Signal Process. 54(2): 423-437 (2006) - [j62]Maria G. Jafari, Wenwu Wang, Jonathon A. Chambers, Tetsuya Hoya, Andrzej Cichocki:
Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals. IEEE Trans. Signal Process. 54(3): 1028-1040 (2006) - [c93]Dimitrios Georgakopoulos, Marian H. Nodine, Donald Baker, Andrzej Cichocki:
Awareness-based Collaboration Driving Process-based Coordination. CollaborateCom 2006 - [c92]Dimitrios Georgakopoulos, Marian H. Nodine, Donald Baker, Andrzej Cichocki:
Awareness-Enabled Coordination for Large Scale Collaboration Management. CTS 2006: 132-141 - [c91]Laura Astolfi, Febo Cincotti, Donatella Mattia, Fabio Babiloni, Maria Grazia Marciani, Fabrizio de Vico Fallani, Marco Mattiocco, Fumikazu Miwakeichi, Yoko Yamaguchi, Pablo Martinez, Serenella Salinari, Andrea Tocci, Hovagim Bakardjian, François-Benoît Vialatte, Andrzej Cichocki:
Removal of ocular artifacts for high resolution EEG studies: a simulation study. EMBC 2006: 976-979 - [c90]Arao Funase, Tohru Yagi, Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi:
Single trial method for Brain-Computer Interface. EMBC 2006: 5277-5281 - [c89]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis. EUSIPCO 2006: 1-5 - [c88]Abd-Krim Seghouane, Andrzej Cichocki:
Bayesian estimation of the number of principal components. EUSIPCO 2006: 1-5 - [c87]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms. ICA 2006: 32-39 - [c86]Zhaoshui He, Andrzej Cichocki:
K-EVD Clustering and Its Applications to Sparse Component Analysis. ICA 2006: 90-97 - [c85]Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata:
Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis. ICA 2006: 384-391 - [c84]Arao Funase, Tohru Yagi, Motoaki Mouri, Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi:
Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR. ICA 2006: 438-445 - [c83]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Cuntai Guan:
Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation. ICA 2006: 831-837 - [c82]Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He:
Extended SMART Algorithms for Non-negative Matrix Factorization . ICAISC 2006: 548-562 - [c81]Rafal Zdunek, Andrzej Cichocki:
Non-negative Matrix Factorization with Quasi-Newton Optimization. ICAISC 2006: 870-879 - [c80]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259 - [c79]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation. ICASSP (5) 2006: 621-624 - [c78]Yoshikazu Washizawa, Andrzej Cichocki:
On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis. ICASSP (5) 2006: 681-684 - [c77]Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki:
Iterative Projection Approximation Algorithms for PCA. ICASSP (5) 2006: 845-848 - [c76]Zhe (Sage) Chen, Andrzej Cichocki, Tomasz M. Rutkowski:
Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease. ICASSP (5) 2006: 893-896 - [c75]François B. Vialatte, Andrzej Cichocki:
Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Application to the Detection of the Early Stage of Alzheimer's Disease. ICONIP (3) 2006: 92-101 - [c74]Zhaoshui He, Andrzej Cichocki, Shengli Xie:
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. ICONIP (1) 2006: 1038-1047 - [c73]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006 - [c72]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006 - [c71]Jianting Cao, Liangyu Zhao, Andrzej Cichocki:
Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis. ISNN (2) 2006: 531-540 - [c70]Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki, Danilo P. Mandic, Allan Kardec Barros:
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. KES (3) 2006: 1232-1239 - [c69]Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki:
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255 - [c68]Donald Baker, Dimitrios Georgakopoulos, Marian H. Nodine, Andrzej Cichocki:
From Events to Awareness. SCW 2006: 21-30 - 2005
- [j61]Shuxue Ding, Andrzej Cichocki, Jie Huang, Daming Wei:
Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain. Int. J. Pervasive Comput. Commun. 1(2): 89-100 (2005) - [j60]Tetsuya Hoya, Toshihisa Tanaka, Andrzej Cichocki, Takahiro Murakami, Gen Hori, Jonathon A. Chambers:
Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement. IEEE Trans. Speech Audio Process. 13(3): 309-320 (2005) - [j59]Pando G. Georgiev, Fabian J. Theis, Andrzej Cichocki:
Sparse component analysis and blind source separation of underdetermined mixtures. IEEE Trans. Neural Networks 16(4): 992-996 (2005) - [c67]François B. Vialatte, Andrzej Cichocki, Gérard Dreyfus, Toshimitsu Musha, Sergei L. Shishkin, Rémi Gervais:
Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals. ICANN (1) 2005: 683-692 - [c66]Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
A class of novel blind source extraction algorithms based on a linear predictor. ISCAS (4) 2005: 3599-3602 - [c65]Yuanqing Li, Andrzej Cichocki, Jianzhao Qin:
Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels. ISNN (2) 2005: 502-507 - [c64]Jianzhao Qin, Yuanqing Li, Andrzej Cichocki:
ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System. ISNN (1) 2005: 973-978 - [c63]Donald Baker, Andrzej Cichocki, Dimitrios Georgakopoulos, Marian H. Nodine:
Awareness-Enabled Coordination. SAINT Workshops 2005: 230-233 - 2004
- [j58]Andrzej Cichocki, Marek Rusinkiewicz:
Providing Transactional Properties for Migrating Workflows. Mob. Networks Appl. 9(5): 473-480 (2004) - [j57]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
Analysis of Sparse Representation and Blind Source Separation. Neural Comput. 16(6): 1193-1234 (2004) - [j56]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind source estimation of FIR channels for binary sources: a grouping decision approach. Signal Process. 84(12): 2245-2263 (2004) - [j55]Yuanqing Li, Jun Wang, Andrzej Cichocki:
Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels. IEEE Trans. Circuits Syst. I Regul. Pap. 51-I(9): 1814-1822 (2004) - [j54]Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Self-adaptive blind source separation based on activation functions adaptation. IEEE Trans. Neural Networks 15(2): 233-244 (2004) - [j53]José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus:
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15(4): 789-791 (2004) - [j52]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari:
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. IEEE Trans. Neural Networks 15(4): 859-873 (2004) - [j51]Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition. IEEE Trans. Signal Process. 52(5): 1430-1442 (2004) - [c62]Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. ESANN 2004: 343-348 - [c61]Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer:
Thin QR and SVD factorizations for simultaneous blind signal extraction. EUSIPCO 2004: 217-220 - [c60]Andrzej Cichocki, Jacek M. Zurada:
Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. ICAISC 2004: 30-37 - [c59]Pando G. Georgiev, Fabian J. Theis, Andrzej Cichocki:
Blind source separation and sparse component analysis of overcomplete mixtures. ICASSP (5) 2004: 493-496 - [c58]Toshihisa Tanaka, Andrzej Cichocki:
Subband decomposition independent component analysis and new performance criteria. ICASSP (5) 2004: 541-544 - [c57]Wlodzimierz Kasprzak, Andrzej Cichocki, Adam F. Okazaki:
Blind Extraction of Sparse Images from under-determined Mixtures. ICCVG 2004: 826-831 - [c56]Pando G. Georgiev, Andrzej Cichocki:
Sparse component analysis of overcomplete mixtures by improved basis pursuit method. ISCAS (5) 2004: 37-40 - [c55]Andrzej Cichocki, Yuanqing Li, Pando G. Georgiev, Shun-ichi Amari:
Beyond ICA: robust sparse signal representations. ISCAS (5) 2004: 684-687 - 2003
- [j50]Reda R. Gharieb, Andrzej Cichocki:
Second-order statistics based blind source separation using a bank of subband filters. Digit. Signal Process. 13(2): 252-274 (2003) - [j49]Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari:
Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(1): 198-205 (2003) - [j48]Andrzej Cichocki, Pando G. Georgiev:
Blind Source Separation Algorithms with Matrix Constraints. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 522-531 (2003) - [j47]Pando G. Georgiev, Andrzej Cichocki:
Robust Independent Component Analysis via Time-Delayed Cumulant Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 573-579 (2003) - [j46]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind Separation and Extraction of Binary Sources. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 580-589 (2003) - [j45]Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi:
Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error. Int. J. Neural Syst. 13(2): 87-91 (2003) - [j44]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks 14(3): 631-645 (2003) - [c54]Yuanqing Li, Andrzej Cichocki, Liqing Zhang:
Blind deconvolution of FIR channels with binary sources: a grouping decision approach. ICASSP (4) 2003: 289-292 - [c53]Yuanqing Li, Andrzej Cichocki:
Sparse representation of images using alternating linear programming. ISSPA (1) 2003: 57-60 - [c52]Liqing Zhang, Andrzej Cichocki:
Independent Residual Analysis for Temporally Correlated Signals. IWANN (1) 2003: 158-165 - [c51]Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei L. Shishkin, Jianting Cao, Fanji Gu:
Sparse Representation and Its Applications in Blind Source Separation. NIPS 2003: 241-248 - [c50]Danilo P. Mandic, Andrzej Cichocki, Uttachai Manmontri:
An on-line algorithm for blind source extraction based on nonlinear prediction approach. NNSP 2003: 429-438 - 2002
- [b2]Andrzej Cichocki, Shun-ichi Amari:
Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications. Wiley 2002, ISBN 978-0-471-60791-5, pp. I-XXXI, 1-554 - [j43]Sergiy A. Vorobyov, Andrzej Cichocki:
Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis. Biol. Cybern. 86(4): 293-303 (2002) - [j42]Donald Baker, Dimitrios Georgakopoulos, Hans Schuster, Andrzej Cichocki:
Awareness Provisioning in Collaboration Management. Int. J. Cooperative Inf. Syst. 11(1-2): 145-173 (2002) - [j41]Sergio Cruces, Luis Castedo, Andrzej Cichocki:
Robust blind source separation algorithms using cumulants. Neurocomputing 49(1-4): 87-118 (2002) - [j40]Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda:
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing 49(1-4): 255-277 (2002) - [j39]Dimitrios Georgakopoulos, Hans Schuster, Andrzej Cichocki, Donald Baker:
Process-Based E-Service Composition for Modeling and Automating Zero Latency Supply Chains. Inf. Syst. Frontiers 4(1): 33-54 (2002) - [j38]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002) - [j37]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari:
On a new blind signal extraction algorithm: different criteria and stability analysis. IEEE Signal Process. Lett. 9(8): 233-236 (2002) - [j36]Seungjin Choi, Andrzej Cichocki, Adel Belouchrani:
Second Order Nonstationary Source Separation. J. VLSI Signal Process. 32(1-2): 93-104 (2002) - [c49]Pando G. Georgiev, Andrzej Cichocki:
Robust Blind Source Separation Utilizing Second and Fourth Order Statistics. ICANN 2002: 1162-1167 - [c48]Pando G. Georgiev, Andrzej Cichocki:
Robust blind source separation and dispersing algorithms. ICASSP 2002: 997-1000 - [c47]Anne H. H. Ngu, Dimitrios Georgakopoulos, Donald Baker, Andrzej Cichocki, Joseph Desmarais, Peter Bates:
Advanced Process-Based Component Integration in Telcordia's Cable OSS. ICDE 2002: 485-487 - [c46]Andrzej Cichocki, Tomasz M. Rutkowski, Krzysztof Siwek:
Blind signal extraction of signals with specified frequency band. NNSP 2002: 515-524 - [c45]Andrzej Cichocki, Pando G. Georgiev:
Blind identification problems with constraints. NNSP 2002: 535-544 - [c44]Allan Kardec Barros, Andrzej Cichocki:
Neural Coding by Redundancy Reduction and Correlation. SBRN 2002: 223-226 - 2001
- [j35]Sergiy A. Vorobyov, Andrzej Cichocki:
Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal. Digit. Signal Process. 11(3): 204-221 (2001) - [j34]Roman Rosipal, Mark A. Girolami, Leonard J. Trejo, Andrzej Cichocki:
Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression. Neural Comput. Appl. 10(3): 231-243 (2001) - [j33]Allan Kardec Barros, Andrzej Cichocki:
Extraction of Specific Signals with Temporal Structure. Neural Comput. 13(9): 1995-2003 (2001) - [j32]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Semiparametric model and superefficiency in blind deconvolution. Signal Process. 81(12): 2535-2553 (2001) - [j31]Reda R. Gharieb, Andrzej Cichocki:
Noise reduction in brain evoked potentials based on third-order correlations. IEEE Trans. Biomed. Eng. 48(5): 501-512 (2001) - [c43]Reda R. Gharieb, Andrzej Cichocki:
On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter. ICASSP 2001: 1061-1064 - [c42]Andrzej Cichocki, Reda R. Gharieb, Tetsuya Hoya:
Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods. ICASSP 2001: 3117-3120 - [c41]Pando G. Georgiev, Andrzej Cichocki:
Blind source separation via symmetric eigenvalue decomposition. ISSPA 2001: 17-20 - [c40]Assya Bousbia-Salah, Adel Belouchrani, Andrzej Cichocki:
Application of time-frequency distributions to the independent component analysis of ECG signals. ISSPA 2001: 238-241 - [c39]Seungjin Choi, Andrzej Cichocki:
Correlation matching approach to source separation in the presence of spatially correlated noise. ISSPA 2001: 272-275 - [c38]Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari:
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction. IWANN (2) 2001: 786-793 - [c37]Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki:
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions. IWANN (2) 2001: 826-833 - 2000
- [j30]Shun-ichi Amari, Tianping Chen, Andrzej Cichocki:
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation. Neural Comput. 12(6): 1463-1484 (2000) - [j29]Andrzej Cichocki, Ruck Thawonmas:
On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics. Neural Process. Lett. 12(1): 91-98 (2000) - [j28]Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Luis Castedo:
An iterative inversion approach to blind source separation. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1423-1437 (2000) - [j27]Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
Flexible Independent Component Analysis. J. VLSI Signal Process. 26</