| Discrimination of EEG-based motor imagery tasks by means of a simple phase information method A Loboda, A Margineanu, G Rotariu, AM Lazar International Journal of Advanced Research in Artificial Intelligence 3 (10), 2014 | 53 | 2014 |
| Comparison of classifiers and statistical analysis for EEG signals used in brain computer interface motor task paradigm OD Eva, AM Lazar International Journal of Advanced Research in Artificial Intelligence …, 2015 | 32 | 2015 |
| Master-slave synchronization of Lorenz systems using a single controller S Oancea, F Grosu, A Lazar, I Grosu Chaos, Solitons & Fractals 41 (5), 2575-2580, 2009 | 29 | 2009 |
| Detrended Cross-Correlation Analysis of Biometric Signals used in a R Ursulean, AM Lazar Elektronika ir Elektrotechnika 89 (1), 55-58, 2009 | 17 | 2009 |
| Classifications of motor imagery tasks using k-nearest neighbors R Aldea, M Fira, A Lazăr 12th Symposium on Neural Network Applications in Electrical Engineering …, 2014 | 15 | 2014 |
| Classification of EEG signals represented by AR models for cognitive tasks-a Neural Network Based Method VA Maiorescu, M Serban, AM Lazar Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on 2 …, 2003 | 12 | 2003 |
| A comparison between healthy and neurological disorders patients using nonlinear dynamic tools RT Aldea, O Geman, I Chiuchisan, AM Lazar 2016 International Conference and Exposition on Electrical and Power …, 2016 | 11 | 2016 |
| Feature extraction and classification methods for a motor task brain computer interface: a comparative evaluation for two databases OD Eva, AM Lazar Int. J. Advanced Computer Sci. Appl 8 (8), 263-269, 2017 | 8 | 2017 |
| Coupling Systems for a New Type of Phase Synchronization FD Grosu, A Bîrzu, A Lazar, I Grosu | 6* | |
| Amplitude Modulation Index as Feature in a Brain Computer Interface. OD Eva, AM Lazar Traitement du Signal 36 (3), 201-207, 2019 | 5 | 2019 |
| Further Applications of the Fractal Spectra of the EEG signals AM Lazar, R Ursulean Elektronika ir Elektrotechnika 82 (2), 45-48, 2008 | 5 | 2008 |
| Segmentation of electroencephalographic signals using an optimal orthogonal linear prediction algorithm R Ursulean, AM Lazar Elektronika ir Elektrotechnika 73 (1), 73-76, 2007 | 5 | 2007 |
| Channels selection for motor imagery paradigm—An Itakura distance based method OD Eva, AM Lazar 2015 E-Health and Bioengineering Conference (EHB), 1-4, 2015 | 4 | 2015 |
| The P300 event-related potential detection-A morphological approach AM Lazăr, R Ursulean 2013 E-Health and Bioengineering Conference (EHB), 1-4, 2013 | 4 | 2013 |
| Higher order statistics and phase synchronization as features in a motor imagery paradigm OD Hrisca-Eva, MG Murariu, AM Lazar International Journal of Advanced Computer Science and Applications 12 (8), 2021 | 3 | 2021 |
| Detection and classification of Mu rhythm for motor movement/imagery dataset O Eva, R Aldea, A Lazar Bull. Polytech. Inst. Jassy 60, 36-44, 2014 | 3 | 2014 |
| Synchronization of 4 identical chaotic systems I Grosu, A Lerescu, S Oancea, A Lazar | 3 | 2007 |
| An Approach to Identify Different Types of EEG Epileptic Signals Based on Higher-Order Spectra (HOS) Features MG Murariu, D Tărniceriu, OD Hrișcă-Eva, AM Lazăr 2022 14th International Conference on Electronics, Computers and Artificial …, 2022 | 2 | 2022 |
| Multi-Sessions Outcome for EEG Feature Extraction and Classification Methods in a Motor Imagery Task. OD Hrisca-Eva, AM Lazar Traitement du Signal 38 (2), 261-268, 2021 | 2 | 2021 |
| On P300 detection using scalar products M Fira, L Goras, A Lazar International Journal of Advanced Computer Science and Applications 9 (1), 2018 | 2 | 2018 |
Oana-Diana Hrisca-EvaUMF IasiVerified email at umfiasi.ro
