Nikolay Chumerin

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 11

Top Topics

Sample Selection

Component Analysis

Semantic Context

Evoked Potentials

Top Venues

Publications

Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi
OOD Aware Supervised Contrastive Learning. WACV (2024)
Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi
OOD Aware Supervised Contrastive Learning. CoRR (2023)
Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino
Contrastive Classification and Representation Learning with Probabilistic Interpretation. AAAI (2023)
Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
Identifying Wrongly Predicted Samples: A Method for Active Learning. WACV (2022)
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner
Continual Novelty Detection. CoLLAs (2022)
Rahaf Aljundi, Yash Patel, Milan Sulc, Daniel Olmeda Reino, Nikolay Chumerin
Contrastive Classification and Representation Learning with Probabilistic Interpretation. CoRR (2022)
Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas
Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. ICCV (2021)
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner
Continual Novelty Detection. CoRR (2021)
Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
Identifying Wrongly Predicted Samples: A Method for Active Learning. CoRR (2020)
Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle
Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. IEEE Trans. Biomed. Eng. 63 (1) (2016)
Elvira Khachatryan, Nikolay Chumerin, Evelien Carrette, Flavio Camarrone, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli. SSP (2016)
Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle
Language Model Applications to Spelling with Brain-Computer Interfaces. Sensors 14 (4) (2014)
Nikolay Chumerin, Nikolay V. Manyakov, Marijn van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle
Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. IEEE Trans. Comput. Intell. AI Games 5 (2) (2013)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Decoding SSVEP Responses based on Parafac Decomposition. BIOSIGNALS (2012)
Nikolay V. Manyakov, Adrien Combaz, Nikolay Chumerin, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. ICAISC (2) (2012)
Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle
Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. Int. J. Neural Syst. 22 (5) (2012)
Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. Neurocomputing 80 (2012)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle
Brain-computer interface research at Katholieke Universiteit Leuven. ISABEL (2011)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Decoding phase-based information from SSVEP recordings: A comparative study. MLSP (2011)
Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Subject-adaptive steady-state visual evoked potential detection for brain-computer interface. IDAACS (1) (2011)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle
Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects. BIOSIGNALS (2011)
Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle
Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction. MLSP (2011)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle
Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Comput. Intell. Neurosci. 2011 (2011)
Irene Markelic, Anders Kjær-Nielsen, Karl Pauwels, Lars Baunegaard With Jensen, Nikolay Chumerin, Ausra Vidugiriene, Minija Tamosiunaite, Alexander Rotter, Marc M. Van Hulle, Norbert Krüger, Florentin Wörgötter
The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car. IEEE Trans. Intell. Transp. Syst. 12 (4) (2011)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network. IDEAL (2011)
Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
Steady State Visual Evoked Potential Based Computer Gaming - The Maze. INTETAIN (2011)
Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marc M. Van Hulle
Decoding SSVEP Responses using Time Domain Classification. IJCCI (ICFC-ICNC) (2010)
Nikolay Chumerin, Agostino Gibaldi, Silvio P. Sabatini, Marc M. Van Hulle
Learning Eye Vergence Control from a Distributed Disparity Representation. Int. J. Neural Syst. 20 (4) (2010)
Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Johan A. K. Suykens, Refet Firat Yazicioglu, Tom Torfs, Patrick Merken, Herc P. Neves, Chris Van Hoof, Marc M. Van Hulle
P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. KI (2009)
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. ICMLA (2009)