| SentiHealth-Cancer: a sentiment analysis tool to help detecting mood of patients in online social networks RG Rodrigues, RM das Dores, CG Camilo-Junior, TC Rosa International journal of medical informatics 85 (1), 80-95, 2016 | 135 | 2016 |
| An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering EQ Da Silva, CG Camilo-Junior, LML Pascoal, TC Rosa Expert Systems with Applications 53, 204-218, 2016 | 108 | 2016 |
| On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study W Cunha, V Mangaravite, C Gomes, S Canuto, E Resende, C Nascimento, ... Information Processing & Management 58 (3), 102481, 2021 | 85 | 2021 |
| CluWords: exploiting semantic word clustering representation for enhanced topic modeling F Viegas, S Canuto, C Gomes, W Luiz, T Rosa, S Ribas, L Rocha, ... Proceedings of the twelfth ACM international conference on web search and …, 2019 | 78 | 2019 |
| Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling W Cunha, S Canuto, F Viegas, T Salles, C Gomes, V Mangaravite, ... Information Processing & Management 57 (4), 102263, 2020 | 55 | 2020 |
| A thorough evaluation of distance-based meta-features for automated text classification S Canuto, DX Sousa, MA Goncalves, TC Rosa IEEE transactions on knowledge and data engineering 30 (12), 2242-2256, 2018 | 36 | 2018 |
| A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification W Cunha, F Viegas, C França, T Rosa, L Rocha, MA Gonçalves ACM Computing Surveys 55 (13s), 1-52, 2023 | 34 | 2023 |
| SUNPLIN: Simulation with uncertainty for phylogenetic investigations WS Martins, WC Carmo, HJ Longo, TC Rosa, TF Rangel BMC bioinformatics 14, 1-11, 2013 | 27 | 2013 |
| Exploiting semantic relationships for unsupervised expansion of sentiment lexicons F Viegas, MS Alvim, S Canuto, T Rosa, MA Gonçalves, L Rocha Information Systems 94, 101606, 2020 | 25 | 2020 |
| Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds AP Ribeiro, NFF da Silva, FN Mesquita, PCS Araújo, TC Rosa, ... PLoS computational biology 17 (9), e1009426, 2021 | 22 | 2021 |
| On efficient meta-level features for effective text classification S Canuto, T Salles, MA Gonçalves, L Rocha, G Ramos, L Gonçalves, ... Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 20 | 2014 |
| Risk-sensitive learning to rank with evolutionary multi-objective feature selection DX Sousa, S Canuto, MA Goncalves, TC Rosa, WS Martins ACM Transactions on Information Systems (TOIS) 37 (2), 1-34, 2019 | 19 | 2019 |
| Incorporating risk-sensitiveness into feature selection for learning to rank DXD Sousa, SD Canuto, TC Rosa, WS Martins, MA Gonçalves Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 19 | 2016 |
| Similarity-based synthetic document representations for meta-feature generation in text classification S Canuto, T Salles, TC Rosa, MA Gonçalves Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 18 | 2019 |
| An efficient and scalable metafeature-based document classification approach based on massively parallel computing S Canuto, M Gonçalves, W Santos, T Rosa, W Martins Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 16 | 2015 |
| Extracting new metrics from version control system for the comparison of software developers MHD de Moura, HAD do Nascimento, TC Rosa 2014 Brazilian Symposium on Software Engineering, 41-50, 2014 | 14 | 2014 |
| Sentiment analysis with genetic programming AB Junior, NFF da Silva, TC Rosa, CGC Junior Information Sciences 562, 116-135, 2021 | 11 | 2021 |
| A taxonomy for sentiment analysis field R Rodrigues, CG Camilo-Junior, T Rosa International Journal of Web Information Systems 14 (2), 193-211, 2018 | 10 | 2018 |
| Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation AIS Ferreira, NFF Da Silva, FN Mesquita, TC Rosa, VH Monzón, ... Frontiers in Plant Science 14, 1081050, 2023 | 8 | 2023 |
| " Keep it Simple, Lazy"--MetaLazy: A New MetaStrategy for Lazy Text Classification LF Mendes, M Gonçalves, W Cunha, L Rocha, T Couto-Rosa, W Martins Proceedings of the 29th ACM International Conference on Information …, 2020 | 8 | 2020 |
