Nikolay Chumerin - researchr alias

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Viewing Publication 1 - 26 from 26

2024

OOD Aware Supervised Contrastive LearningSoroush Seifi, Daniel Olmeda Reino, Nikolay Chumerin, Rahaf Aljundi. wacv 2024: 1945-1955 [doi]

2023

Contrastive Classification and Representation Learning with Probabilistic InterpretationRahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino. AAAI 2023: 6675-6683 [doi]

2022

Continual Novelty DetectionRahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner. collas 2022: 1004-1025 [doi]

Identifying Wrongly Predicted Samples: A Method for Active LearningRahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino. wacv 2022: 2071-2079 [doi]

2021

Road Anomaly Detection by Partial Image Reconstruction with Segmentation CouplingTomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas. iccv 2021: 15631-15640 [doi]

2016

2014

Language Model Applications to Spelling with Brain-Computer InterfacesAnderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle. sensors, 14(4):5967-5993, 2014. [doi]

2013

Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG DeviceNikolay Chumerin, Nikolay V. Manyakov, Marijn van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle. tciaig, 5(2):100-110, 2013. [doi]

2012

2011

Steady State Visual Evoked Potential Based Computer Gaming - The MazeNikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle. intetain 2012: 28-37 [doi]

Subject-adaptive steady-state visual evoked potential detection for brain-computer interfaceNikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle. idaacs 2011: 369-373 [doi]

Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural NetworkNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle. ideal 2011: 135-143 [doi]

Decoding phase-based information from SSVEP recordings: A comparative studyNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle. mlsp 2011: 1-6 [doi]

Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled SubjectsNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle. biostec 2011: 328-334

Brain-computer interface research at Katholieke Universiteit LeuvenNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle. isabel 2011: [doi]

Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled SubjectsNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle. cin, 2011, 2011. [doi]

The Driving School System: Learning Basic Driving Skills From a Teacher in a Real CarIrene 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. tits, 12(4):1135-1146, 2011. [doi]

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interactionArne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle. mlsp 2011: 1-6 [doi]

2010

Learning Eye Vergence Control from a Distributed Disparity RepresentationNikolay Chumerin, Agostino Gibaldi, Silvio P. Sabatini, Marc M. Van Hulle. IJNS, 20(4):267-278, 2010. [doi]

Decoding SSVEP Responses using Time Domain ClassificationNikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marc M. Van Hulle. ijcci 2010: 376-380

2009

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