Thiago Salles

发表

Tackling Temporal Effects in Automatic Document Classification

Marcos André Gonçalves, Leonardo C. da Rocha, Thiago Salles, 2011, J. Inf. Data Manag..

On Efficient Meta-Level Features for Effective Text Classification

Thierson Couto, Marcos André Gonçalves, Leonardo C. da Rocha, 2014, CIKM.

Temporal contexts: Effective text classification in evolving document collections

Wagner Meira, Marcos André Gonçalves, Fernando Mourão, 2013, Inf. Syst..

Estimating the Credibility of Examples in Automatic Document Classification

Gisele L. Pappa, Wagner Meira, Marcos André Gonçalves, 2010, J. Inf. Data Manag..

BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification

Marcos André Gonçalves, Leonardo C. da Rocha, Thiago Salles, 2015, SIGIR.

Semantically-Enhanced Topic Modeling

Marcos André Gonçalves, Fernando Mourão, Leonardo C. da Rocha, 2018, CIKM.

Automatic Document Classification Temporally Robust

Gisele L. Pappa, Wagner Meira, Marcos André Gonçalves, 2010, J. Inf. Data Manag..

A Feature-Oriented Sentiment Rating for Mobile App Reviews

Marcos André Gonçalves, Fernando Mourão, Leonardo C. da Rocha, 2018, WWW.

Assessing documents' credibility with genetic programming

Gisele L. Pappa, Wagner Meira, Marcos André Gonçalves, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Generalized BROOF-L2R: A general framework for L2R based on Boosting and Random Forests

Marcos André Gonçalves, Thiago Salles, Clebson C.A. de Sá, 2016, SIGIR 2016.

Word co-occurrence features for text classification

Wagner Meira, Thierson Couto, Marcos André Gonçalves, 2011, Inf. Syst..

A genealogy of the work of collector: The document and its image

Marcos André Gonçalves, Thiago Salles, Myriam Bahia Lopes, 2015, 2015 Digital Heritage.

A Two-Stage Machine learning approach for temporally-robust text classification

Wagner Meira, Marcos André Gonçalves, Fernando Mourão, 2017, Inf. Syst..

Aggressive and effective feature selection using genetic programming

Marcos André Gonçalves, Leonardo C. da Rocha, Guilherme Andrade, 2012, 2012 IEEE Congress on Evolutionary Computation.

UNICAMP-UFMG at MediaEval 2012: Genre Tagging Task

Jurandy Almeida, Jussara M. Almeida, Ricardo da Silva Torres, 2012, MediaEval.

Improving random forests by neighborhood projection for effective text classification

Marcos André Gonçalves, Leonardo C. da Rocha, Thiago Salles, 2018, Inf. Syst..

A quantitative analysis of the temporal effects on automatic text classification

Jussara M. Almeida, Wagner Meira, Marcos André Gonçalves, 2016, J. Assoc. Inf. Sci. Technol..

Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests

Marcos André Gonçalves, Thiago Salles, Daniel Xavier de Sousa, 2016, SIGIR.

Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification

Marcos André Gonçalves, Leonardo C. da Rocha, Felipe Viegas, 2018, Neurocomputing.

Stacking Bagged and Boosted Forests for Effective Automated Classification

Marcos André Gonçalves, Sérgio D. Canuto, Thiago Salles, 2017, SIGIR.

Thierson Couto, Marcos André Gonçalves, Sérgio D. Canuto, 2019, SIGIR.

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling

Marcos André Gonçalves, Felipe Viegas, Sérgio D. Canuto, 2020, Inf. Process. Manag..

Exploiting contexts to deal with uncertainty in classification

Gisele L. Pappa, Bianca Zadrozny, Wagner Meira, 2009, U '09.

NetClass: A network-based relational model for document classification

Srinivasan Parthasarathy, Wagner Meira, Marcos André Gonçalves, 2018, Inf. Sci..

Time-Aware Ranking in Sport Social Networks

Marcos André Gonçalves, Alberto H. F. Laender, Daniel R. Figueiredo, 2012, J. Inf. Data Manag..

Temporally-aware algorithms for document classification

Gisele L. Pappa, Wagner Meira, Marcos André Gonçalves, 2010, SIGIR '10.

Building a research social network from an individual perspective

Marcos André Gonçalves, Mirella M. Moro, Alberto H. F. Laender, 2011, JCDL '11.

A bias-variance analysis of state-of-the-art random forest text classifiers

Marcos André Gonçalves, Thiago Salles, Leonardo Rocha, 2020 .

A Genetic Programming approach for feature selection in highly dimensional skewed data

Marcos André Gonçalves, Giovanni Sá, Fernando Mourão, 2018, Neurocomputing.

Classificação Automática de Documentos Robusta Temporalmente

Gisele L. Pappa, Wagner Meira, Marcos André Gonçalves, 2009, SBBD.

CiênciaBrasil-The Brazilian Portal of Science and Technology

Eli Cortez, Eduardo N. Borges, Marcos André Gonçalves, 2011 .