| EEG signal classification for epilepsy diagnosis via optimum path forest–A systematic assessment TM Nunes, ALV Coelho, CAM Lima, JP Papa, VHC De Albuquerque Neurocomputing 136, 103-123, 2014 | 117 | 2014 |
| Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines CAM Lima, ALV Coelho, S Chagas Expert Systems with Applications 36 (6), 10054-10059, 2009 | 95 | 2009 |
| Gesture unit segmentation using support vector machines: segmenting gestures from rest positions RCB Madeo, CAM Lima, SM Peres Proceedings of the 28th Annual ACM Symposium on Applied Computing, 46-52, 2013 | 85 | 2013 |
| Tackling EEG signal classification with least squares support vector machines: A sensitivity analysis study CAM Lima, ALV Coelho, M Eisencraft Computers in Biology and Medicine 40 (8), 705-714, 2010 | 82 | 2010 |
| Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study CAM Lima, ALV Coelho Artificial Intelligence in Medicine 53 (2), 83-95, 2011 | 77 | 2011 |
| Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification CAM Lima, ALV Coelho, FJ Von Zuben Information Sciences 177 (10), 2049-2074, 2007 | 74 | 2007 |
| Assessing fractal dimension methods as feature extractors for EMG signal classification ALV Coelho, CAM Lima Engineering Applications of Artificial Intelligence 36, 81-98, 2014 | 64 | 2014 |
| Gesture phase segmentation using support vector machines RCB Madeo, SM Peres, CA de Moraes Lima Expert Systems with Applications 56, 100-115, 2016 | 57 | 2016 |
| Grammatical facial expressions recognition with machine learning FA Freitas, SM Peres, CAM Lima, FV Barbosa Proceedings, 180-185, 2014 | 50* | 2014 |
| Grammatical Facial Expressions Recognition with Machine Learning F de Almeida Freitas, SM Peres, CAM Lima, FV Barbosa | 50 | 2014 |
| Comitê de Máquinas: uma abordagem unificada empregando máquinas de vetores-suporte CAM Lima [sn], 2004 | 40 | 2004 |
| Gesture unit segmentation using spatial-temporal information and machine learning PK Wagner, SM Peres, RCB Madeo, CA de Moraes Lima, ... The Twenty-Seventh International Flairs Conference, 2014 | 39 | 2014 |
| Feature selection for biometric recognition based on electrocardiogram signals FGS Teodoro, SM Peres, CAM Lima 2017 International Joint Conference on Neural Networks (IJCNN), 2911-2920, 2017 | 32 | 2017 |
| Grammatical facial expression recognition in sign language discourse: a study at the syntax level FA Freitas, SM Peres, CAM Lima, FV Barbosa Information Systems Frontiers 19 (6), 1243-1259, 2017 | 29 | 2017 |
| Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal M Schneider, PN Mustaro, CAM Lima 2009 International Joint Conference on Neural Networks, 2841-2845, 2009 | 29 | 2009 |
| A hybrid ensemble model applied to the short-term load forecasting problem RM Salgado, JJF Pereira, T Ohishi, R Ballini, CAM Lima, FJ Von Zuben The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 28 | 2006 |
| Aprendizado de maquina em sistemas de recomendacao baseados em conteudo textual: Uma revisao sistematica L Brunialti, S Peres, V Freire, C Lima Anais do XI Simpósio Brasileiro de Sistemas de Informação, 203-210, 2015 | 27 | 2015 |
| Fuzzy systems design via ensembles of ANFIS CAM Lima, ALV Coelho, FJ Von Zuben 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 24 | 2002 |
| Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms DRP Luís A. M. Pereira, João P. Papa, André L. V. Coelho, Clodoaldo A. M. Lima Neural Computing and Applications, 01-13, 2017 | 22* | 2017 |
| Classification of electromyography signals using relevance vector machines and fractal dimension CAM Lima, ALV Coelho, RCB Madeo, SM Peres Neural Computing and Applications 27 (3), 791-804, 2016 | 22 | 2016 |
Sarajane Marques PeresAssociate Professor at University of São Paulo, BrazilVerified email at usp.br
