Lachezar Bozhkov
From IEETA
Subject | Machine learning methods and models for development of noninvasive EEG-based Brain Computer Interface | |
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Advisor | Petia Georgieva, R. Trifonov | |
Group | Intelligent Robotics and Systems | |
Status | PhD student | |
Starts | 2014/04/15 | |
Ends | 2017/12/04 | |
Country | Bulgaria | |
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Personal page |
Contents |
Publications
Articles in international journals listed in the ISI
- Lachezar Bozhkov, Petia Georgieva. Deep learning models for brain machine interfaces. Annals of Mathematics and Artificial Intelligence, October 2019 [IF 2018: 1.011 (Q3, 140/254)]
- Lachezar Bozhkov, Petia Koprinkova-Hristova, Petia Georgieva. Reservoir Computing for Emotion Valence Discrimination from EEG signals. Neurocomputing, vol. 231, p. 28-40, March 2017 [IF 2017: 3.241 (Q1, 27/132)] [IF 2018: 4.072 (Q1, 28/134)]
- Lachezar Bozhkov, P. Koprinkova-Hristova, Petia Georgieva. Learning to decode human emotions with Echo State Networks. Neural Networks, vol. 78, p. 112-119, June 2016 [IF 2016: 5.287 (Q1, 10/133)]
Other articles in journals
- Lachezar Bozhkov, Petia Georgieva, I. Santos, A. Pereira, C. Silva. EEG-based subject independent affective computing models. Procedia Computer Science, p. 375-382, August 2015
Articles in conference proceedings
- Lachezar Bozhkov, Petia Georgieva. Overview of Deep Learning Architectures for EEG-based Brain Imaging. IEEE World Congress on Computational Intelligence (WCCI)- IJCNN, Rio de Janeiro, Brazil, July 2018
- Lachezar Bozhkov, Petia Georgieva. Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. 7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2015), Santiago de Compostela, Spain, June 17-19, 2015, June 2015
- P. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva. Echo State Networks for feature selection in affective computing. 13th Int. Conf. on Practical Applications of Agents and Multi-Agent Systems (PAAMS), University of Salamanca, Spain,3-5 June, 2015, June 2015
- Lachezar Bozhkov, Petia Georgieva, R. Trifonov. Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. 15th Int Conf on Engineering Applications of Neural Networks (EANN), 5 - 7 Sept. 2014, Sofia, Bulgaria, p. 123–132, September 2014
- Lachezar Bozhkov, Petia Georgieva. Classification models of emotional biosignals evoked while viewing affective pictures.. SIMULTECH 2014 - 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Vienna, Austria, p. 601-606, August 2014
PhD thesis
- Lachezar Bozhkov. Application of machine learning methods for affective computing and development of noninvasive brain computer interface. PhD Thesis, Technical University of Sofia (TUS), December 2017