Celso França

2025

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Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems.
Pedro Henrique Silva Rodrigues|Daniel Xavier de Sousa|Celso França|Gestefane Rabbi|Thierson Couto Rosa|Marcos André Gonçalves
Information Processing and Management 2025 Volume 62 Issue 5
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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

2023

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On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Cláudio Moisés Valiense de Andrade|Fabiano Belém|Washington Cunha|Celso França|Felipe Viegas|Leonardo Rocha|Marcos André Gonçalves
Information Processing and Management 2023 Volume 60 Issue 4
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An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification.
Washington Cunha|Celso França|Guilherme Fonseca|Leonardo Rocha|Marcos André Gonçalves
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2021

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On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.
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
Information Processing and Management 2021 Volume 58 Issue 3