Ilya Kuzovkin
Ilya Kuzovkin
PhD in Neuroscience and Artificial Intelligence, University of Tartu
Verified email at ut.ee - Homepage
Title
Cited by
Cited by
Year
Multiagent cooperation and competition with deep reinforcement learning
A Tampuu, T Matiisen, D Kodelja, I Kuzovkin, K Korjus, J Aru, J Aru, ...
PloS one 12 (4), e0172395, 2017
3822017
Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex
I Kuzovkin, R Vicente, M Petton, JP Lachaux, M Baciu, P Kahane, ...
Communications biology 1 (1), 1-12, 2018
392018
Combining static and dynamic features for multivariate sequence classification
A Leontjeva, I Kuzovkin
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
182016
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
H Sahni, T Buckley, P Abbeel, I Kuzovkin
arXiv preprint arXiv:1901.11529, 2019
12*2019
Direct information transfer rate optimisation for SSVEP-based BCI
A Ingel, I Kuzovkin, R Vicente
Journal of neural engineering 16 (1), 016016, 2018
52018
Pattern recognition for non-invasive EEG-based BCI
I Kuzovkin
Bachelor's thesis, University of Tartu Faculty of Mathematics and Computer …, 2011
42011
OffWorld gym: Open-access physical robotics environment for real-world reinforcement learning benchmark and research
A Kumar, T Buckley, Q Wang, A Kavelaars, I Kuzovkin
arXiv preprint arXiv:1910.08639, 2019
32019
Identifying task-relevant spectral signatures of perceptual categorization in the human cortex
I Kuzovkin, JR Vidal, M Perrone-Bertolotti, P Kahane, S Rheims, J Aru, ...
Scientific reports 10 (1), 1-17, 2020
2*2020
Mental state space visualization for interactive modeling of personalized BCI control strategies
I Kuzovkin, K Tretyakov, A Uusberg, R Vicente
Journal of neural engineering 17 (1), 016059, 2020
22020
Replicating the Paper “Playing Atari with Deep Reinforcement Learning.”
K Korjus, I Kuzovkin, A Tampuu, T Pungas
Faculty of Mathematics and Computer Science at the University of Tartu …, 2014
22014
Adaptive Interactive Learning: a Novel Approach to Training Brain-Computer Interface Systems
I Kuzovkin
Master’s Thesis, University of Tartu, Estonia, Tartu, 2013
22013
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models
I Kuzovkin
arXiv preprint arXiv:2010.08715, 2020
2020
Signal Quality and Data Visualizer for Emotiv EPOC
U Loskit, I Kuzovkin
2014
Interaktiivne kohandamisvõimeline õppimine: uus lähenemine aju-arvuti liidese süsteemi õpetamiseks
I Kuzovkin
Tartu Ülikool, 2013
2013
Mustride tuvastamine mitteinvasiivse EEG tehnoloogial baseeruvas Aju-Arvuti liideses
I Kuzovkin
Tartu Ülikool, 2011
2011
Empirical Comparison of Machine Learning Algorithms Based on EEG Data
I Kuzovkin, K Korjus
Noise Reduction on the Raw Signal of Emotiv EEG Neuroheadset
RH Tunnel, I Kuzovkin
Framework for Training BCI System
I Kuzovkin
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Articles 1–18