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 |
Ranked batch-mode active learning TNC Cardoso, RM Silva, S Canuto, MM Moro, MA Gonçalves Information Sciences 379, 313-337, 2017 | 81 | 2017 |
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 |
Exploiting new sentiment-based meta-level features for effective sentiment analysis S Canuto, MA Gonçalves, F Benevenuto Proceedings of the ninth ACM international conference on web search and data …, 2016 | 73 | 2016 |
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 practical and effective sampling selection strategy for large scale deduplication G Dal Bianco, R Galante, MA Goncalves, S Canuto, CA Heuser IEEE Transactions on Knowledge and Data Engineering 27 (9), 2305-2319, 2015 | 51 | 2015 |
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 study of learning-to-rank techniques for tag recommendation SD Canuto, FM Belém, JM Almeida, MA Gonçalves Journal of Information and Data Management 4 (3), 453-453, 2013 | 33 | 2013 |
Stacking bagged and boosted forests for effective automated classification R Campos, S Canuto, T Salles, CCA de Sá, MA Gonçalves Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 30 | 2017 |
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 |
Semantically-enhanced topic modeling F Viegas, W Luiz, C Gomes, A Khatibi, S Canuto, F Mourão, T Salles, ... Proceedings of the 27th ACM international conference on information and …, 2018 | 21 | 2018 |
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 |
A pragmatic approach to hierarchical categorization of research expertise in the presence of scarce information GO de Siqueira, S Canuto, MA Gonçalves, AHF Laender International Journal on Digital Libraries 21 (1), 61-73, 2020 | 15 | 2020 |
On the cost-effectiveness of stacking of neural and non-neural methods for text classification: scenarios and performance prediction C Gomes, M Goncalves, L Rocha, S Canuto Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 10 | 2021 |
Stroke outcome measurements from electronic medical records: cross-sectional study on the effectiveness of neural and nonneural classifiers BS Zanotto, AP Beck da Silva Etges, A Dal Bosco, EG Cortes, R Ruschel, ... JMIR Medical Informatics 9 (11), e29120, 2021 | 9 | 2021 |
G-knn: an efficient document classification algorithm for sparse datasets on gpus using knn L Rocha, G Ramos, R Chaves, R Sachetto, D Madeira, F Viegas, ... Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1335-1338, 2015 | 8 | 2015 |