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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
9762017
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), 107, 2018
1072018
Combining static and dynamic features for multivariate sequence classification
A Leontjeva, I Kuzovkin
2016 IEEE International Conference on Data Science and Advanced Analytics†…, 2016
492016
Addressing sample complexity in visual tasks using her and hallucinatory gans
H Sahni, T Buckley, P Abbeel, I Kuzovkin
Advances in Neural Information Processing Systems 32, 2019
19*2019
Offworld gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
A Kumar, T Buckley, JB Lanier, Q Wang, A Kavelaars, I Kuzovkin
arXiv preprint arXiv:1910.08639, 2019
132019
Direct information transfer rate optimisation for SSVEP-based BCI
A Ingel, I Kuzovkin, R Vicente
Journal of neural engineering 16 (1), 016016, 2018
102018
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
92020
Pattern recognition for non-invasive EEG-based BCI
I Kuzovkin
University of Tartu (http://kt. era. ee/supervision/Kuzovkin2011. pdf), 2011
62011
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), 7870, 2020
4*2020
Adaptive Interactive Learning: a Novel Approach to Training Brain-Computer Interface Systems
I Kuzovkin
MasterĘs Thesis, 25, 2013
32013
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling
A Kumar, I Kuzovkin
arXiv preprint arXiv:2212.08232, 2022
22022
Empirical comparison of machine learning algorithms based on EEG data
I Kuzovkin, K Korjus
BachelorĘs esis, 2016
22016
Replicating the Paper “Playing Atari with Deep Reinforcement Learning.”
K Korjus, I Kuzovkin, A Tampuu, T Pungas
Technical Report, Introduction to Computational Neuroscience, University of†…, 2013
22013
Understanding information processing in human brain by interpreting machine learning models
I Kuzovkin
arXiv preprint arXiv:2010.08715, 2020
12020
OffWorld Gym: open-access physical lunar analog environment for reinforcement learning and robotics research
I Kuzovkin, J Lanier, A Kumar, Q Wang
43rd COSPAR Scientific Assembly. Held 28 January-4 February 43, 164, 2021
2021
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
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 1–20