Thiago Salles

2025

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Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline.
Celso França|Gestefane Rabbi|Thiago Salles|Washington Cunha|Leonardo Rocha|Marcos André Gonçalves
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2020

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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
Information Processing and Management 2020 Volume 57 Issue 4

2019

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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

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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
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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

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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

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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
Journal of the Association for Information Science and Technology (JASIST) 2016 Volume 67 Issue 7
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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

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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

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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

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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