Search Results - Andrzej Cichocki
Andrzej Cichocki

He is most noted for his learning algorithms for Signal separation (BSS), Independent Component Analysis (ICA), Non-negative matrix factorization (NMF), tensor decomposition, Deep (Multilayer) Factorizations for ICA, NMF, neural networks for optimization problems and signal processing, Tensor network for Machine Learning and Big Data, and brain–computer interfaces. He is the author of several monographs/books and more than 800 scientific peer-reviewed articles. Provided by Wikipedia
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Teacher's Competences - Prospects for Development and Professional Training by Elżbieta Jaszczyszyn, Andrzej Cichocki
Published 2018Call Number: Loading…Connect to this object online.
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Latent Space Coding Capsule Network for Mental Workload Classification by Yinhu Yu, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li
Published 2023Call Number: Loading…Connect to this object online.
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Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module by Runze Wu, Jing Jin, Ian Daly, Xingyu Wang, Andrzej Cichocki
Published 2023Call Number: Loading…Connect to this object online.
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Motor Imagery EEG Classification Based on Riemannian Sparse Optimization and Dempster-Shafer Fusion of Multi-Time-Frequency Patterns by Jing Jin, Tingnan Qu, Ren Xu, Xingyu Wang, Andrzej Cichocki
Published 2023Call Number: Loading…Connect to this object online.
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A Time-Local Weighted Transformation Recognition Framework for Steady State Visual Evoked Potentials Based Brain–Computer Interfaces by Ke Qin, Ren Xu, Shurui Li, Xingyu Wang, Andrzej Cichocki, Jing Jin
Published 2024Call Number: Loading…Connect to this object online.
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OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition by Yong Peng, Fengzhe Jin, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
Published 2022Call Number: Loading…Connect to this object online.
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A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface by Jing Jin, Hao Sun, Ian Daly, Shurui Li, Chang Liu, Xingyu Wang, Andrzej Cichocki
Published 2022Call Number: Loading…Connect to this object online.
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SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding by Chang Liu, Jing Jin, Ian Daly, Shurui Li, Hao Sun, Yitao Huang, Xingyu Wang, Andrzej Cichocki
Published 2022Call Number: Loading…Connect to this object online.
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