| A KNN-SVM hybrid model for cursive handwriting recognition C Zanchettin, BLD Bezerra, WW Azevedo The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 64 | 2012 |
| A symbolic approach for content-based information filtering BLD BEZERRA, FAT CARVALHO Information Processing Letters 92 (8), 45-52, 2004 | 56 | 2004 |
| A dynamic gesture recognition and prediction system using the convexity approach P Barros, NT Maciel-Junior, BJT Fernandes, BLD Bezerra, ... Computer Vision and Image Understanding 155, 139-149, 2017 | 36 | 2017 |
| Symbolic data analysis tools for recommendation systems BLD Bezerra, FDAT De Carvalho Knowledge and Information Systems 26 (3), 385-418, 2011 | 33 | 2011 |
| HAGR-D: a novel approach for gesture recognition with depth maps DG Santos, BJT Fernandes, BLD Bezerra Sensors 15 (11), 28646-28664, 2015 | 22 | 2015 |
| A heuristic binarization algorithm for documents with complex background GDC Cavalcanti, EFA Silva, C Zanchettin, BLD Bezerra, RC Doria, ... 2006 International Conference on Image Processing, 389-392, 2006 | 18 | 2006 |
| Boosting the deep multidimensional long-short-term memory network for handwritten recognition systems D Castro, BLD Bezerra, M Valenca 2018 16th international conference on frontiers in handwriting recognition …, 2018 | 17 | 2018 |
| Electromyography-controlled car: A proof of concept based on surface electromyography, Extreme Learning Machines and low-cost open hardware RC de Freitas, R Alves, AG da Silva Filho, RE de Souza, BLD Bezerra, ... Computers & Electrical Engineering 73, 167-179, 2019 | 14 | 2019 |
| Speeding up recommender systems with meta-prototypes B Bezerra, FAT de Carvalho, GL Ramalho, JD Zucker Brazilian Symposium on Artificial Intelligence, 227-236, 2002 | 14 | 2002 |
| Convexity local contour sequences for gesture recognition PVA BARROS, NTM JUNIOR, JMM BISNETO, BJT FERNANDES, ... 28th Annual ACM Symposium, 34-39, 2013 | 12 | 2013 |
| Avaliaçao do perfil de uso no ambiente moodle utilizando técnicas de mineraçao de dados LC Santana, AMA Maciel, RL Rodrigues Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2014 | 11 | 2014 |
| A hybrid RNN model for cursive offline handwriting recognition BLD Bezerra, C Zanchettin, VB de Andrade 2012 Brazilian Symposium on Neural Networks, 113-118, 2012 | 11 | 2012 |
| A MDRNN-SVM hybrid model for cursive offline handwriting recognition BLD Bezerra, C Zanchettin, VB de Andrade International Conference on Artificial Neural Networks, 246-254, 2012 | 11 | 2012 |
| Smartphone camera document detection via Geodesic Object Proposals LRS Leal, BLD Bezerra 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2016 | 10 | 2016 |
| C^ 2:: A Collaborative Recommendation System Based on Modal Symbolic User Profile BLD Bezerra, TC Francisco De Assis, V Macario Filho 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main …, 2006 | 10 | 2006 |
| A symbolic hybrid approach to face the new user problem in recommender systems BLD BEZERRA, FAT CARVALHO Australian Joint Conference on Artificial Intelligence 3339, 1011-1016, 2004 | 10 | 2004 |
| An Effective Dynamic Gesture Recognition System based on the Feature Vector Reduction for SURF and LCS P BARROS, NT MACIEL JUNIOR, JMM BISNETO, BJT Fernandes, ... Lecture Notes in Computer Science 8131, 412-419, 2013 | 9 | 2013 |
| OctShuffleMLT: A compact octave based neural network for end-to-end multilingual text detection and recognition A Lundgren, D Castro, E Lima, B Bezerra 2019 International Conference on Document Analysis and Recognition Workshops …, 2019 | 8 | 2019 |
| Handwriting: recognition, development and analysis BLD Bezerra Nova Science Publishers, Incorporated, 2017 | 7 | 2017 |
| A Multi-Layer Perceptron approach to threshold documents with complex background JCB RABELO, C ZANCHETTIN, CAB MELLO, BLD BEZERRA International Conference on Systems, Man and Cybernetics, 2523-2530, 2011 | 7 | 2011 |
Francisco de Assis Tenorio de CarvalhoProfessor of Computer Science, Universidade Federal de PernambucoVerified email at cin.ufpe.br
