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2020 – today
- 2024
[j12]Felipe Viegas
, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Guilherme Fonseca, Ana Machado, Leonardo Rocha, Marcos André Gonçalves:
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method. J. Interact. Syst. 15(1): 561-575 (2024)- [i1]Pablo Cecilio, Antônio Perreira, Juliana Santos Rosa Viegas, Washington Cunha, Felipe Viegas, Elisa Tuler, Fabiana Testa Moura de Carvalho Vicentini, Leonardo Rocha:
PATopics: An automatic framework to extract useful information from pharmaceutical patents documents. CoRR abs/2408.08905 (2024) - 2023
- [j11]Washington Cunha, Felipe Viegas, Celso França, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves:
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification. ACM Comput. Surv. 55(13s): 265:1-265:52 (2023) - [j10]Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha, Celso França, Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves:
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!". Inf. Process. Manag. 60(4): 103336 (2023) - [c12]Felipe Viegas, Sérgio D. Canuto, Washington Cunha, Celso França, Cláudio Moisés Valiense de Andrade, Leonardo Rocha, Marcos André Gonçalves:
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts. WebMedia 2023: 110-118 - [c11]Antônio Pereira De Souza Júnior, Felipe Viegas, Marcos André Gonçalves, Leonardo Rocha:
Evaluating the Limits of the Current Evaluation Metrics for Topic Modeling. WebMedia 2023: 119-127 - 2022
- [j9]Felipe Viegas, Antônio Pereira De Souza Júnior, Pablo Cecilio, Elisa Tuler, Wagner Meira Jr., Marcos André Gonçalves, Leonardo Rocha:
Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling. Scientometrics 127(8): 5005-5026 (2022) - [c10]Antônio Pereira De Souza Júnior, Pablo Cecilio, Felipe Viegas, Washington Cunha, Elisa Tuler de Albergaria, Leonardo Chaves Dutra da Rocha:
Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts. WebMedia 2022: 191-201 - 2021
- [j8]Washington Cunha, Vítor Mangaravite, Christian Gomes, Sérgio D. Canuto, Elaine Resende, Cecilia Nascimento, Felipe Viegas, Celso França, Wellington Santos Martins, Jussara M. Almeida, Thierson Rosa, Leonardo Rocha, Marcos André Gonçalves:
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Inf. Process. Manag. 58(3): 102481 (2021) - [c9]Antonio Pedro, Antônio Pereira De Souza Júnior, Pablo Cecilio, Nayara Pena, Felipe Viegas, Elisa Tuler, Diego Dias, Leonardo Rocha:
An Article-Oriented Framework for Automatic Semantic Analysis of COVID-19 Researches. ICCSA (3) 2021: 172-187 - 2020
- [j7]Washington Cunha, Sérgio D. Canuto, Felipe Viegas, Thiago Salles, Christian Gomes, Vítor Mangaravite, Elaine Resende, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha:
Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling. Inf. Process. Manag. 57(4): 102263 (2020) - [j6]Felipe Viegas, Mário S. Alvim, Sérgio D. Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha:
Exploiting semantic relationships for unsupervised expansion of sentiment lexicons. Inf. Syst. 94: 101606 (2020) - [c8]Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira De Souza Júnior, Leonardo Rocha, Marcos André Gonçalves:
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. ACL 2020: 8138-8150
2010 – 2019
- 2019
- [c7]Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves:
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. WSDM 2019: 753-761 - 2018
- [j5]Felipe Viegas, Leonardo Rocha, Marcos André Gonçalves, Fernando Mourão, Giovanni Sá, Thiago Salles, Guilherme Andrade, Isac Sandin:
A Genetic Programming approach for feature selection in highly dimensional skewed data. Neurocomputing 273: 554-569 (2018) - [j4]Felipe Viegas, Leonardo Rocha, Elaine Resende, Thiago Salles, Wellington Martins, Mateus Ferreira e Freitas, Marcos André Gonçalves:
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification. Neurocomputing 307: 153-171 (2018) - [j3]Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.:
NetClass: A network-based relational model for document classification. Inf. Sci. 469: 60-78 (2018) - [c6]Felipe Viegas, Washington Luiz, Christian Gomes, Amir Khatibi, Sérgio D. Canuto, Fernando Mourão, Thiago Salles, Leonardo Rocha, Marcos André Gonçalves:
Semantically-Enhanced Topic Modeling. CIKM 2018: 893-902 - [c5]Washington Luiz, Felipe Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton B. F. Carvalho, Marcos André Gonçalves, Leonardo Rocha:
A Feature-Oriented Sentiment Rating for Mobile App Reviews. WWW 2018: 1909-1918 - 2017
- [j2]Thiago Salles, Leonardo Rocha, Fernando Mourão, Marcos André Gonçalves, Felipe Viegas, Wagner Meira Jr.:
A Two-Stage Machine learning approach for temporally-robust text classification. Inf. Syst. 69: 40-58 (2017) - 2016
- [j1]Thiago Salles, Leonardo Rocha, Marcos André Gonçalves, Jussara M. Almeida, Fernando Mourão, Wagner Meira Jr., Felipe Viegas:
A quantitative analysis of the temporal effects on automatic text classification. J. Assoc. Inf. Sci. Technol. 67(7): 1639-1667 (2016) - 2015
- [c4]Felipe Viegas, Marcos André Gonçalves, Wellington Martins, Leonardo Rocha:
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification. CIKM 2015: 1071-1080 - [c3]Leonardo Rocha, Gabriel Spada Ramos, Rodrigo Chaves, Rafael Sachetto Oliveira, Daniel Madeira, Felipe Viegas, Guilherme Andrade, Sérgio Daniel, Marcos André Gonçalves, Renato Ferreira:
G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN. SAC 2015: 1335-1338 - 2013
- [c2]Guilherme Andrade, Felipe Viegas, Gabriel Spada Ramos, Jussara M. Almeida, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Renato Ferreira:
GPU-NB: A Fast CUDA-Based Implementation of Naïve Bayes. SBAC-PAD 2013: 168-175 - 2012
- [c1]Isac Sandin, Guilherme Andrade, Felipe Viegas, Daniel Madeira, Leonardo Rocha, Thiago Salles, Marcos André Gonçalves:
Aggressive and effective feature selection using genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8
Coauthor Index
aka: Leonardo Chaves Dutra da Rocha
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