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Lachezar Bozhkov
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2020 – today
- 2020
- [j3]Lachezar Bozhkov, Petia Georgieva:
Deep learning models for brain machine interfaces. Ann. Math. Artif. Intell. 88(11): 1175-1190 (2020)
2010 – 2019
- 2018
- [c6]Lachezar Bozhkov, Petia Georgieva:
Overview of Deep Learning Architectures for EEG-based Brain Imaging. IJCNN 2018: 1-7 - 2017
- [j2]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231: 28-40 (2017) - 2016
- [j1]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Learning to decode human emotions with Echo State Networks. Neural Networks 78: 112-119 (2016) - 2015
- [c5]Lachezar Bozhkov, Petia Georgieva:
Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics. IbPRIA 2015: 415-422 - [c4]Lachezar Bozhkov, Petia Georgieva, Isabel M. Santos, Ana Teresa Pereira, Carlos F. Silva:
EEG-based Subject Independent Affective Computing Models. INNS Conference on Big Data 2015: 375-382 - [c3]Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva:
Echo State Networks for Feature Selection in Affective Computing. PAAMS 2015: 131-141 - 2014
- [c2]Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov:
Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods. EANN 2014: 123-132 - [c1]Lachezar Bozhkov, Petia Georgieva:
Classification models of emotional biosignals evoked while viewing affective pictures. SIMULTECH 2014: 601-606
Coauthor Index
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