Nikolay Chumerin

According to our database, Nikolay Chumerin authored at least 26 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OOD Aware Supervised Contrastive Learning.

Soroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Contrastive Classification and Representation Learning with Probabilistic Interpretation.

Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Identifying Wrongly Predicted Samples: A Method for Active Learning.

Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Continual Novelty Detection.

Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling.

Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2016

Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer.

Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle

IEEE Trans. Biomed. Eng., 2016

Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli.

Elvira Khachatryan, Nikolay Chumerin, Evelien Carrette, Flavio Camarrone, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2014

Language Model Applications to Spelling with Brain-Computer Interfaces.

Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle

Sensors, 2014

2013

Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device.

Nikolay Chumerin, Nikolay V. Manyakov, Marijn van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle

IEEE Trans. Comput. Intell. AI Games, 2013

2012

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface.

Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle

Neurocomputing, 2012

Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface.

Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle

Int. J. Neural Syst., 2012

Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling.

Nikolay V. Manyakov, Adrien Combaz, Nikolay Chumerin, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the Artificial Intelligence and Soft Computing, 2012

Decoding SSVEP Responses based on Parafac Decomposition.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the BIOSIGNALS 2012, 2012

2011

The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car.

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

IEEE Trans. Intell. Transp. Syst., 2011

Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle

Comput. Intell. Neurosci., 2011

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction.

Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Decoding phase-based information from SSVEP recordings: A comparative study.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Brain-computer interface research at Katholieke Universiteit Leuven.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Steady State Visual Evoked Potential Based Computer Gaming - The Maze.

Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the Intelligent Technologies for Interactive Entertainment, 2011

Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface.

Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle

Proceedings of the BIOSIGNALS 2011, 2011

2010

Learning Eye Vergence Control from a Distributed Disparity Representation.

Nikolay Chumerin, Agostino Gibaldi, Silvio P. Sabatini, Marc M. Van Hulle

Int. J. Neural Syst., 2010

Decoding SSVEP Responses using Time Domain Classification.

Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marc M. Van Hulle

Proceedings of the ICFC-ICNC 2010, 2010

2009

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface.

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

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling.

Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle

Proceedings of the International Conference on Machine Learning and Applications, 2009