| A survey and comparative study of tweet sentiment analysis via semi-supervised learning NFFD Silva, LFS Coletta, ER Hruschka ACM Computing Surveys (CSUR) 49 (1), 1-26, 2016 | 141 | 2016 |
| Combining Classification and Clustering for Tweet Sentiment Analysis LFS Coletta, NFF da Silva, ER Hruschka, ER Hruschka Jr Intelligent Systems (BRACIS), 2014 Brazilian Conference on, 210 - 215, 2014 | 136 | 2014 |
| Collaborative fuzzy clustering algorithms: Some refinements and design guidelines LFS Coletta, L Vendramin, ER Hruschka, RJGB Campello, W Pedrycz IEEE Transactions on Fuzzy Systems 20 (3), 444-462, 2011 | 102 | 2011 |
| Using unsupervised information to improve semi-supervised tweet sentiment classification NFF da Silva, LFS Coletta, ER Hruschka, ER Hruschka Jr Information Sciences 355, 348-365, 2016 | 96 | 2016 |
| Combining clustering and active learning for the detection and learning of new image classes LFS Coletta, M Ponti, ER Hruschka, A Acharya, J Ghosh Neurocomputing 358, 150-165, 2019 | 39 | 2019 |
| Using metaheuristics to optimize the combination of classifier and cluster ensembles LFS Coletta, ER Hruschka, A Acharya, J Ghosh Integrated Computer-Aided Engineering, 2015 | 34 | 2015 |
| A differential evolution algorithm to optimise the combination of classifier and cluster ensembles LFS Coletta, ER Hruschka, A Acharya, J Ghosh International Journal of Bio-Inspired Computation 7 (2), 111-124, 2015 | 27 | 2015 |
| Artificial neural network for classification and analysis of degraded soils AB Neto, CSB Bonini, BS Bisi, AR dos Reis, LFS Coletta IEEE Latin America Transactions 15 (3), 503-509, 2017 | 26 | 2017 |
| Distributed fuzzy clustering with automatic detection of the number of clusters L Vendramin, RJGB Campello, LFS Coletta, ER Hruschka International Symposium on Distributed Computing and Artificial Intelligence …, 2011 | 14 | 2011 |
| Novelty detection in UAV images to identify emerging threats in eucalyptus crops LFS Coletta, DC de Almeida, JR Souza, RL Manzione Computers and Electronics in Agriculture 196, 106901, 2022 | 11 | 2022 |
| Automatic recovery estimation of degraded soils by artificial neural networks in function of chemical and physical attributes in Brazilian Savannah soil A Bonini Neto, CSB Bonini, AR Reis, JC Piazentin, LFS Coletta, FF Putti, ... Communications in Soil Science and Plant Analysis 50 (14), 1785-1798, 2019 | 10 | 2019 |
| Análise de Descritores de Imagens na Classificação de Folhas de Soja Visando o Diagnóstico de Doenças PHS PEREIRA, GV OLIVEIRA, RSS YOKOO, M MATULOVIC X Simpósio Nacional de Tecnologia em Agronegócio 1 (X), 89, 2018 | 3 | 2018 |
| Towards the use of metaheuristics for optimizing the combination of classifier and cluster ensembles LFS Coletta, ER Hruschka, A Acharya, J Ghosh Computational Intelligence and 11th Brazilian Congress on Computational …, 2013 | 3 | 2013 |
| Abordagens para combinar classificadores e agrupadores em problemas de classificação LFS Coletta Universidade de São Paulo, 2015 | 2 | 2015 |
| CST-Godot: Bridging the Gap Between Game Engines and Cognitive Agents G Morais, I Loron, LFS Coletta, AA Da Silva, A Simões, R Gudwin, ... 2022 21st Brazilian Symposium on Computer Games and Digital Entertainment …, 2022 | 1 | 2022 |
| Visualization Tools for Monitoring and Debugging a Cognitive Architecture using CST Á Marques, L Coletta, A Silva, A Paraense, L Berto, P Costa, E Colombini, ... Procedia Computer Science 213, 528-535, 2022 | 1 | 2022 |
| Análise de Estratégias de Seleção de Atributos Baseada em Agrupamento de Dados Fuzzy LFS Coletta São Paulo: Universidade de São Paulo, Instituto de Ciências Matemáticas e de …, 2009 | 1 | 2009 |
| Um Método de Seleção de Atributos via Agrupamento Fuzzy para Problemas de Classificação LFS Coletta Monografia apresentada ao Instituto de Ciências Matemáticas e de Computação …, 2009 | 1 | 2009 |
| An Episode Tracker for Cognitive Architectures EY Sakabe, AA da Silva, LF Coletta, A da Silva Simões, EL Colombini, ... Biologically Inspired Cognitive Architectures Meeting, 750-758, 2023 | | 2023 |
| Avaliação de Descritores de Imagem no Aprendizado de Máquina para a Detecção de Falhas de Plantio de Feijão-Comum GM HARAKUCHI, JVC CALISSO, LFS COLETTA XIX Simpósio Brasileiro de Sensoriamento Remoto 17 (2019), 3342, 2019 | | 2019 |
Eduardo R. HruschkaUniversity of São Paulo (USP), BrazilVerified email at usp.br
