publications

Full list of publications

Articles in peer-reviewed journals

• 1. van Vliet M.M., Chumerin N., De Deyne S., Wiersema J.R. Fias W., Storms G., Van Hulle M.M. Single-trial ERP component analysis using a spatio-temporal LCMV. Institute of Electrical and Electronics Engineers, IEEE Transactions on Biomedical Engineering; 2016; Vol. 63; iss. 1; pp. 55-66. [DOI:10.1109/TBME.2015.2468588 ][pdf].

  2. Mora-Cortes A., Manyakov N.V., Chumerin N., Van Hulle M.M. Language Model Applications to Spelling with Brain-Computer Interfaces, Sensors, 14(4):5967–5993, 2014. [DOI:10.3390/s140405967] [pdf] [bib].

  3. Chumerin N., Manyakov N.V., van Vliet M., Robben A., Combaz A., Van Hulle M.M. Steady State Visual Evoked Potential-based Computer Gaming on a Consumer-grade EEG Device. IEEE Transactions on Computational Intelligence and AI in Games, 5(2):100–110, 2013. [DOI:10.1109/TCIAIG.2012.2225623] [pdf] [bib], (* co-first authorship).

  4. Manyakov N.V., Chumerin N., Robben A., Combaz A., van Vliet M., Van Hulle M.M. Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing. Journal of Neural Engineering, 10(3):036011, 2013. [DOI:10.1088/1741-2560/10/3/036011] [pdf] [bib], (* co-first authorship).

  5. Manyakov N.V., Chumerin N., Van Hulle M.M. Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. International Journal of Neural Systems, 22(5):1250022, 2012. [DOI:10.1142/S0129065712500220] [pdf] [bib], (* co-first authorship).

  6. Combaz A., Chumerin N., Manyakov N.V., Robben A., Suykens J.A.K., Van Hulle M.M. Towards the detection of error-related potentials and its integration in the context of a P300 speller brain–computer interface. Neurocomputing, 80:73–82, 2012. [DOI:10.1016/j.neucom.2011.09.013] [pdf] [bib].

  7. Manyakov N.V., Chumerin N., Combaz A., Van Hulle M.M. Comparison of classification methods for P300 Brain–Computer Interface on disabled subjects.. Computational Intelligence and Neuroscience, 2011:1–12 (article ID 519868), 2011. [DOI:10.1155/2011/519868] [pdf] [bib].

  8. Markelic I., Kjaer-Nielsen A., Pauwels K., Baunegaard With Jensen L., Chumerin N., Vidugiriene A., Tamosiunaite M., Van Hulle M.M., Kruger N., Rotter A., Worgotter F. The Driving School System: Learning Basic Driving Skills from a Teacher in a Real Car. IEEE Transactions on Intelligent Transportation Systems, 12(4):1135–1146, 2011. [DOI:10.1109/TITS.2011.2157690] [pdf] [bib].

  9. Chumerin N., Gibaldi A., Sabatini S.P., Van Hulle M.M. Learning Eye Vergence Control from a Distributed Disparity Representation. International Journal of Neural Systems, 20(4):267–278, 2010. [DOI:10.1142/S0129065710002425] [pdf] [bib].

  10. Sryvkina L.G., Chumerin N. Automation method for operational planning of construction teams' work. Vestnik BSTU, 1, 2006 [pdf] [bib], (in Russian).

  11. Chumerin N. Differentiable estimation of independence of random vector components. Vestnik BrSU, 4(25):12–16, 2005 [pdf] [bib], (in Russian).

  12. Chumerin N. Discrete estimation method of independence of random vector components. Vestnik BrSU, 1(22):39–42, 2005 [pdf] [bib], (in Russian).

  13. Golovko V., Chumerin N. Neural network methods for computing Lyapunov spectrum of chaotic processes. Neurocomputers: Design and Applications, 1:68–77, 2004 [pdf] [bib], (in Russian).

  14. Golovko V., Chumerin N., Savitsky Y. Neural network method for estimating Lyapunov spectrum from observations. Vestnik BSTU, 4:66–70, 2002 [pdf] [bib], (in Russian).

Book chapters

• 1. Manyakov N.V., Aizenberg I., Chumerin N., Van Hulle M.M. Multilayer Feedforward Neural Network with Multi-Valued Neurons for Brain–Computer Interfacing. In: Complex-Valued Neural Networks: Advances and Applications (Edited by Hirose A.), Wiley-IEEE Press, 2013, pp. 185–208 [ISBN:978-1-1183-4460-6] [DOI:10.1002/9781118590072.ch8] [pdf] [bib].

  2. Chumerin N., Manyakov N.V., Combaz A., Robben A., van Vliet M., Van Hulle M.M. Preprocessing and Decoding Steady-State Visual Evoked Potentials for Brain–Computer Interfaces. In: Digital Image and Signal Processing for Measurement Systems, (Edited by Duro R., Pena F.L.), River Publishers, 2012, pp. 1–33 [ISBN:9788792329295] [pdf] [bib].

  3. Chumerin N., Van Hulle M.M. Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes. In: Signal Processing Techniques for Knowledge Extraction and Information Fusion, (Edited by Mandic D.P., Golz M., Kuh A., Obradovic D., and Tanaka T.), Springer, Boston, USA, 2007, pp. 161–180 [ISBN:978-0-387-74366-0] [pdf] [bib].

Arxiv publications

• 1. Aljundi R., Olmeda Reino D., Chumerin N., Turner R.E. Continual Novelty Detection. arXiv preprint arXiv:2106.12964.

Conference publications

1. Aljundi R., Chumerin N., Olmeda Reino D. Identifying Wrongly Predicted Samples: A Method for Active Learning. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2022, pp. 2290-2298.

• 2. Vojir T., Šipka T., Aljundi R., Chumerin N., Olmeda Reino D., Matas J. Road anomaly detection by partial image reconstruction with segmentation coupling. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 15651-15660.

  3. Khachatryan E., Chumerin N., Carrette E., Camarrone F., De Taeye L., Meurs A., Boon P., Van Roost D., Van Hulle M.M. Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli. 2016 IEEE Statistical Signal Processing Workshop (SSP), 2016, pp. 1-5, [DOI:10.1109/SSP.2016.7551795].

  4. Manyakov, N.V., Combaz A., Chumerin N., Robben A., van Vliet M., Van Hulle, M.M. Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. The 11th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, April 29 – May 3, 2012, Lecture notes in computer science (LNCS) 7268, Part II, pp. 293–301 [DOI:10.1007/978-3-642-29350-4_35] [pdf] [bib].

  5. Manyakov N.V., Chumerin N., Combaz A., Robben A., van Vliet M., Van Hulle M.M. Decoding SSVEP responses based on PARAFAC decomposition. International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Vilamoura, Algarve, Portugal, February 1–4, 2012, pp. 443–447 [DOI:10.5220/0003853604430447] [pdf] [bib].

  6. Chumerin N., Manyakov N.V., Combaz A., Robben A., van Vliet M., Van Hulle M.M. Steady State Visual Evoked Potential based Computer Gaming – The Maze. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering: The 4th International ICST Conference, INTETAIN 2011, Genoa, Italy, May 25–27, 2011 Revised Selected Papers, vol. 78, pp. 28–37 [ISBN:978-3-642-30213-8] [DOI:10.1007/978-3-642-30214-5_4] [pdf] [bib].

  7. van Vliet M.M., Robben A., Chumerin N., Manyakov N.V., Combaz A., Van Hulle M.M. Designing a Brain–Computer Interface controlled video-game using consumer grade EEG hardware. The 3rd IEEE Biosignals and Biorobotics conference (ISSNIP). Manaus, Brazil, January 9–11, 2012. [DOI:10.1109/BRC.2012.6222186] [pdf] [bib].

  8. Manyakov N.V., Chumerin N., Combaz A., Robben A., van Vliet M., De Maziere P., Van Hulle M.M. Brain–Computer Interface Research at Katholieke Universiteit Leuven, 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2011), Barcelona, Spain, October 26–29, 2011, pp. 1–5 [DOI:10.1145/2093698.2093765]. [pdf] [bib].

  9. Manyakov N.V., Chumerin N., Combaz A., Robben A., van Vliet M., Van Hulle M.M. Decoding Phase-Based Information From SSVEP Recordings: A Comparative Study. IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Beijing, China, September 18–21, 2011, pp. 1–6 [DOI:10.1109/MLSP.2011.6064563] [pdf] [bib].

  10. Robben A., Chumerin N., Manyakov N.V., Combaz A., van Vliet M., Van Hulle M.M. Combining object detection and brain computer interfacing: Towards a new way of subject–environment interaction. IEEE International Workshop on Machine Learning for Signal Processing (MLSP). Beijing, China, September 18–21, 2011. pp. 1–6 [DOI:10.1109/MLSP.2011.6064548] [pdf] [bib].

  11. Chumerin N., Manyakov N.V., Combaz A., Robben, A., van Vliet M., Van Hulle M.M. Subject-Adaptive Steady-State Visual Evoked Potential Detection for Brain–Computer Interface. The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2011). Prague, Czech Republic, September 15–17, 2011, pp. 369–373 [DOI:10.1109/IDAACS.2011.6072776] [pdf] [bib] [poster].

  12. Manyakov N.V., Chumerin N., Combaz A., Robben A., van Vliet M., Van Hulle M.M. Decoding Phase-based Information from SSVEP Recordings with Use of Complex-Valued Neural Network. Lecture Notes in Computer Science, vol. 6936/2011, The 12th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Norwich, UK, September 7–9, 2011, pp. 135–143 [DOI:10.1007/978-3-642-23878-9_17] [pdf] [bib].

  13. Segers H., Combaz A., Manyakov N.V., Chumerin N., Vanderperren K., Van Huffel S., Van Hulle M.M. Steady State Visual Evoked Potential (SSVEP) -based Brain Spelling System with Synchronous and Asynchronous Typing Modes. In IFMBE Proceedings, vol. 34 15 Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC15). Aalborg, Denmark, June 14–17, 2011, pp. 164–167 [DOI:10.1007/978-3-642-21683-1_41] [pdf] [bib].

  14. Manyakov N., Chumerin N., Combaz A., Van Hulle M.M. Comparison of Linear Classification Methods for P300 Brain–Computer Interface on Disabled Subjects. International Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS). Rome, Italy, January 26–29, 2011, pp. 328–334 [DOI:10.5220/0003273903280334] [pdf] [bib].

  15. Manyakov N., Chumerin N., Combaz A., Robben A., Van Hulle M.M. Decoding SSVEP responses using time domain classification. International Conference on Neural Computation. Valencia, Spain, October 24–26, 2010, pp. 376–380 [DOI:10.5220/0003106103760380] [pdf] [bib].

  16. Combaz A., Chumerin N., Manyakov N.V., Suykens J.A.K., Van Hulle M.M. Error-related Potential recorded by EEG in the context of a P300 Mind Speller Brain–Computer Interface. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Kittila, Finland, August 29 – September 1, 2010 [DOI:10.1109/MLSP.2010.5589217] [pdf] [bib].

  17. Manyakov N.V., Chumerin N., Combaz A., Van Hulle M.M. On the Selection of Time Interval and Frequency Range of EEG Signal Preprocessing for P300 Brain–Computer Interfacing. In IFMBE Proceedings, vol. 29, The XII Mediterranean Conference on Medical and Biological Engineering and Computing, Porto Carras, Chalkidiki, Greece, May 27–30, 2010, pp. 57–60 [DOI:10.1007/978-3-642-13039-7_15] [pdf] [bib].

  18. Combaz A., Manyakov N.V., Chumerin N., Suykens J.A.K., Van Hulle M.M. Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. The Eighth International Conference on Machine Learning and Applications (ICMLA), Miami Beach, Florida, 33140, USA, December 13–15, 2009 [DOI:10.1109/ICMLA.2009.27] [pdf] [bib] [poster].

  19. Chumerin N., Gibaldi A., Sabatini S.P., Van Hulle M.M. Convolutional Network for Vergence Control. 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, Bratislava, Slovak Republic, November 24–27, 2009 [DOI:10.1109/ISABEL.2009.5373674] [pdf] [bib] [poster].

  20. Chumerin N., Manyakov N.V., Combaz A., Van Hulle M.M. An Application of Feature Selection to On-Line P300 Detection in Brain–Computer Interface. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Grenoble, France, September 2–4, 2009 [pdf] [bib] [poster].

  21. Chumerin N., Manyakov N.V., Combaz A., Yazicioglu R.F., Torfs T., Merken P., Neves H.P., Van Hoof C., Suykens J.A.K., Van Hulle M.M. P300 detection based on Feature Extraction in on-line Brain–Computer Interface. Lecture Notes in Computer Science, vol. 5803/2009, pp. 339–346, 32nd Annual Conference on Artificial Intelligence, Paderborn, Germany, September 15–18, 2009 [DOI:10.1007/978-3-642-04617-9_43] [pdf] [bib].

  22. Chumerin N., Van Hulle M.M. Ground Plane Estimation Based on Dense Stereo Disparity. The Fifth International Conference on Neural Networks and Artificial Intelligence, Minsk, Belarus, May 27–30, pp. 209–213 [pdf] [bib].

  23. Chumerin N., Van Hulle M.M. An Approach to On-Road Vehicle Detection, Description and Tracking. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Thessaloniki, Greece, August 27–29, 2007, pp. 265–269 [DOI:10.1109/MLSP.2007.4414317] [pdf] [bib].

  24. Chumerin N., Van Hulle M.M. Biologically-Inspired Model of Vision-Based Independently Moving Objects Detection System. The Ninth International Conference on Pattern Recognition s Information Processing (PRIP), Minsk, Belarus, May 22–24, 2007, vol. 1, pp. 64–68 [pdf] [bib].

  25. Chumerin N., Van Hulle M.M. Comparison of two feature extraction methods based on maximization of mutual information. The 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing (MLSP), Maynooth, Ireland, September 6–8, 2006, pp. 343–348 [DOI:10.1109/MLSP.2006.275572] [pdf] [bib].

  26. Chumerin N. On one method for Independent Component Analysis. Proceedings of the Third Scientific Conference of Young Scientists and Students, Brest, Belarus, November 26–28, 2003 [pdf] [bib], (in Russian).

  27. Chumerin N. WEB-based Technologies for Grade Accounting of Students of Natural-Scientific Specialties. Methodology, theory and practice of mathematical and pedagogical education, Brest, Belarus, May 14–16, 2002, (in Russian).

  28. Chumerin N. Equivariant Curtis-Shori's theorem. The Second Student Scientific Conference, BrSU, Brest, Belarus, 1999, (in Russian).

  29. Chumerin N. Parametric Hahn-Banach theorem. In Proceedings of the Third Republican Scientific Student Conference, vol. 5a Minsk, Belarus, May 14–16, 1997, (in Russian).

  30. Chumerin N. Peano curve. The First Scientific Student Conference, BrSU, Brest, Belarus, 1996, (in Russian).

Abstracts and Posters

• 1. Vanbecelaere K., Chumerin N., Van Leeuwen C., Alexander D.M. Improving BCI decoding performance through analysis of cortical traveling waves. In Second Belgian Neuroinformatics Congress, Date: 2015/12/04-2015/12/04, Location: Leuven, Belgium 2015. Frontiers Media.

  2. Khachatryan E., Chumerin N., Carrette E., Camarrone F., De Taeye L., Meurs A., Boon P., Van Roost D., Van Hulle M.M. N400 potential generators in response to visually presented images are spread across both cerebral hemispheres. InFront. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress 2015.

  3. Combaz A., Chumerin N., Manyakov N.V., Van Hulle M.M. Error-related potential for correcting P300 speller brain-computer interface: is it really worth it? Topical Problems of Biophotonics (TBP11), St.-Petersburg – Nizhny Novgorod, Russia, July 16–22, 2011, pp. 258-259.

  4. Raduta Y., Combaz A., Chumerin N., Manyakov N.V., Raduta V., Suykens J.A.K., Van Hulle M.M. Testing Wireless P300 Mind Speller Brain–Computer Interface on Stroke and ALS patients. The 40th Annual Meeting of the Society for Neuroscience, San Diego, USA, November 13–17, 2010, abstract No. 820.12 [abstract].

  5. Gibaldi A., Chumerin N., Van Hulle M.M., Sabatini S.P. Two Neural Models for Instantaneous Vergence Control. The 4th International Conference on Cognitive Systems, Zurich, Switzerland, January 27–28, 2010 [abstract] [poster].

  6. Chumerin N., Manyakov N.V., Combaz A., Van Hulle M.M. Feature Selection and Feature Extraction Approaches to P300 Detection in On-line Brain–Computer Interface. The 39th Annual Meeting of the Society for Neuroscience, Chicago, Illinois, U.S.A., October 17–21, 2009, abstract No. 687.5 [abstract] [poster].

Theses

• • • PhD (KU Leuven): Chumerin N. From Multi-Channel Vision Towards Active Exploration, 2011 [KU Leuven Lirias].

    • MSc (BrSU, 1999): Chumerin N. Equivariant Curtis-Shori's theorem. Brest State University, Brest, Belarus, 1999, (in Russian).