2020

doi dblp
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling
Washington Cunha | Sérgio D. Canuto | Felipe Viegas | Thiago Salles | Christian Gomes | Vítor Mangaravite | Elaine Resende | Thierson Rosa | Marcos André Gonçalves | Leonardo Rocha
2020 Volume 57 Issue 4

2019

doi dblp
Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification
Sérgio D. Canuto | Thiago Salles | Thierson Couto Rosa | Marcos André Gonçalves
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

2018

doi dblp
Semantically-Enhanced Topic Modeling
Felipe Viegas | Washington Luiz | Christian Gomes | Amir Khatibi | Sérgio D. Canuto | Fernando Mourão | Thiago Salles | Leonardo Rocha | Marcos André Gonçalves
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
A Feature-Oriented Sentiment Rating for Mobile App Reviews
Washington Luiz | Felipe Viegas | Rafael Odon de Alencar | Fernando Mourão | Thiago Salles | Dárlinton B. F. Carvalho | Marcos André Gonçalves | Leonardo Rocha
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2017

doi dblp
Stacking Bagged and Boosted Forests for Effective Automated Classification
Raphael R. Campos | Sérgio D. Canuto | Thiago Salles | Clebson C. A. de Sá | Marcos André Gonçalves
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

2016

doi dblp
A quantitative analysis of the temporal effects on automatic text classification
Thiago Salles | Leonardo Rocha | Marcos André Gonçalves | Jussara M. Almeida | Fernando Mourão | Wagner Meira Jr. | Felipe Viegas
2016 Volume 67 Issue 7

doi dblp
Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests
Clebson C. A. de Sá | Marcos André Gonçalves | Daniel Xavier de Sousa | Thiago Salles
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016

2015

doi dblp
BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification
Thiago Salles | Marcos André Gonçalves | Victor Rodrigues | Leonardo Rocha
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2014

doi dblp
On Efficient Meta-Level Features for Effective Text Classification
Sérgio D. Canuto | Thiago Salles | Marcos André Gonçalves | Leonardo Rocha | Gabriel Spada Ramos | Luiz Gonçalves | Thierson Couto Rosa | Wellington Santos Martins
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014

2010

doi dblp
Temporally-aware algorithms for document classification
Thiago Salles | Leonardo Rocha | Gisele L. Pappa | Fernando Mourão | Wagner Meira Jr. | Marcos André Gonçalves
Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010