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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Advances in Blind Source Separation by Ehlers Frank, Cichocki Andrzej
Published 2007-01-01
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Robust Sparse Component Analysis Based on a Generalized Hough Transform by Georgiev Pando, Cichocki Andrzej, Theis Fabian J
Published 2007-01-01
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Multi-channel EEG compression based on matrix and tensor decompositions by Srinivasan, K., Dauwels, Justin, Reddy, M. Ramasubba, Cichocki, Andrzej
Published 2013
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Multi-channel EEG compression based on 3D decompositions by Srinivasan, K., Dauwels, Justin, Reddy, M. Ramasubba, Cichocki, Andrzej
Published 2013
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Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands by Cichocki, Andrzej, Gallego-Jutglà, Esteve, Elgendi, Mohamed, Vialatte, François-Benoît, Solé-Casals, Jordi, Latchoumane, Charles, Jeong, Jaeseung, Dauwels, Justin
Published 2013
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Conference Paper