Adrien Combaz

According to our database, Adrien Combaz authored at least 15 papers between 2009 and 2013.

Collaborative distances:

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

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

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

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

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