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Washington Cunha
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2020 – today
- 2024
- [j6]Celso França, Rennan C. Lima, Cláudio M. V. de Andrade, Washington Cunha, Pedro O. S. Vaz de Melo, Berthier A. Ribeiro-Neto, Leonardo Rocha, Rodrygo L. T. Santos, Adriana S. Pagano, Marcos André Gonçalves:
On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval. Neurocomputing 600: 128172 (2024) - [j5]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) - [c8]Andrea Pasin, Washington Cunha, Marcos André Gonçalves, Nicola Ferro:
A Quantum Annealing Instance Selection Approach for Efficient and Effective Transformer Fine-Tuning. ICTIR 2024: 205-214 - [c7]Andrea Pasin, Washington Cunha, Marcos André Gonçalves, Nicola Ferro:
A Quantum Annealing-Based Instance Selection Approach for Transformer Fine-Tuning. IIR 2024: 58-61 - [i5]Fabiano Belém, Washington Cunha, Celso França, Cláudio M. V. de Andrade, Leonardo Rocha, Marcos André Gonçalves:
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks. CoRR abs/2407.17284 (2024) - [i4]Lucas Félix, Washington Cunha, Jussara M. Almeida:
Is it a work or leisure travel? Applying text classification to identify work-related travel on social networks. CoRR abs/2408.06341 (2024) - [i3]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) - [i2]Cláudio M. V. de Andrade, Washington Cunha, Davi Reis, Adriana S. Pagano, Leonardo Rocha, Marcos André Gonçalves:
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification. CoRR abs/2408.09629 (2024) - 2023
- [j4]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) - [j3]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) - [c6]Welton Santos, Washington Cunha, Celso França, Guilherme Fonseca, Sérgio D. Canuto, Leonardo Rocha, Marcos André Gonçalves:
Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis. SBBD 2023: 408-413 - [c5]Washington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha, Marcos André Gonçalves:
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. SIGIR 2023: 665-674 - [c4]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 - [i1]Washington Cunha, Celso França, Leonardo Rocha, Marcos André Gonçalves:
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method. CoRR abs/2310.03491 (2023) - 2022
- [c3]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
- [j2]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) - 2020
- [j1]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) - [c2]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 - [c1]Luiz Felipe Mendes, Marcos André Gonçalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa, Wellington Martins:
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. CIKM 2020: 1125-1134
Coauthor Index
aka: Leonardo Chaves Dutra da Rocha
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