Deep features for breast cancer histopathological image classification FA Spanhol, LS Oliveira, PR Cavalin, C Petitjean, L Heutte 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 372 | 2017 |
Forest Species Recognition using Deep Convolutional Neural Networks LG Hafemann, LS Oliveira, P Cavalin International Conference on Pattern Recognition (ICPR), 2014 | 159 | 2014 |
Dynamic selection approaches for multiple classifier systems PR Cavalin, R Sabourin, CY Suen Neural Computing & Applications 22 (3-4), 673-688, 2013 | 147 | 2013 |
Creating coordinated multi-chatbots using natural dialogues by means of knowledge base MG De Bayser, A Braz, PR Cavalin, FVD de FIGUEIREDO, RFS Souza US Patent App. 15/217,660, 2018 | 107 | 2018 |
Large-scale multi-agent-based modeling and simulation of microblogging-based online social network M Gatti, P Cavalin, SB Neto, C Pinhanez, C dos Santos, D Gribel, ... Multi-Agent-Based Simulation XIV: International Workshop, MABS 2013, Saint …, 2014 | 70 | 2014 |
A review of texture classification methods and databases P Cavalin, LS Oliveira 2017 30th SIBGRAPI Conference on graphics, patterns and images tutorials …, 2017 | 62 | 2017 |
LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs PR Cavalin, R Sabourin, CY Suen Pattern recognition 45 (9), 3544-3556, 2012 | 60 | 2012 |
Wood defect detection using grayscale images and an optimized feature set P Cavalin, LS Oliveira, AL Koerich, AS Britto IECON 2006-32nd Annual Conference on IEEE Industrial Electronics, 3408-3412, 2006 | 56 | 2006 |
An implicit segmentation-based method for recognition of handwritten strings of characters PR Cavalin, A de Souza Britto Jr, F Bortolozzi, R Sabourin, LES Oliveira Proceedings of the 2006 ACM symposium on Applied computing, 836-840, 2006 | 49 | 2006 |
Transfer learning between texture classification tasks using convolutional neural networks LG Hafemann, LS Oliveira, PR Cavalin, R Sabourin 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 45 | 2015 |
A multiple feature vector framework for forest species recognition PR Cavalin, MN Kapp, J Martins, LES Oliveira Proceedings of the 28th annual ACM symposium on applied computing, 16-20, 2013 | 45 | 2013 |
Leave-one-out-training and leave-one-out-testing hidden Markov models for a handwritten numeral recognizer: the implications of a single classifier and multiple classifications AHR Ko, PR Cavalin, R Sabourin, A de Souza Britto IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2168 …, 2008 | 43 | 2008 |
Confusion matrix-based building of hierarchical classification P Cavalin, L Oliveira Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 42 | 2019 |
The effect of audiences on the user experience with conversational interfaces in physical spaces H Candello, C Pinhanez, M Pichiliani, P Cavalin, F Figueiredo, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 39 | 2019 |
A simulation-based approach to analyze the information diffusion in microblogging online social network MA de C Gatti, AP Appel, CN Dos Santos, CS Pinhanez, PR Cavalin, ... 2013 Winter Simulations Conference (WSC), 1685-1696, 2013 | 35 | 2013 |
System and method for managing artificial conversational entities enhanced by social knowledge A Braz, PR Cavalin, FVD de FIGUEIREDO, MG De Bayser, RFS Souza US Patent 10,599,644, 2020 | 31 | 2020 |
Dynamic selection of ensembles of classifiers using contextual information PR Cavalin, R Sabourin, CY Suen International Workshop on Multiple Classifier Systems, 145-154, 2010 | 30 | 2010 |
A hybrid architecture for multi-party conversational systems MG de Bayser, P Cavalin, R Souza, A Braz, H Candello, C Pinhanez, ... arXiv preprint arXiv:1705.01214, 2017 | 29 | 2017 |
Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters PR Cavalin, R Sabourin, CY Suen, AS Britto Jr Pattern Recognition 42 (12), 3241-3253, 2009 | 29 | 2009 |
Improving out-of-scope detection in intent classification by using embeddings of the word graph space of the classes P Cavalin, VHA Ribeiro, A Appel, C Pinhanez Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 25 | 2020 |