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2020 – today
- 2024
[c2]Lucas Resck
, Marcos M. Raimundo, Jorge Poco:
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. NAACL-HLT (Findings) 2024: 4190-4216- [i4]Lucas E. Resck, Marcos M. Raimundo, Jorge Poco:
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. CoRR abs/2404.03098 (2024) - [i3]Raphaël Tinarrage, Henrique Ennes, Lucas E. Resck, Lucas T. Gomes, Jean R. Ponciano, Jorge Poco:
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval. CoRR abs/2407.07004 (2024) - 2023
- [j1]Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco:
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. IEEE Trans. Vis. Comput. Graph. 29(6): 3105-3120 (2023) - [c1]Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. AISTATS 2023: 6199-6214 - [i2]Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. CoRR abs/2303.10139 (2023) - 2022
- [i1]Lucas E. Resck, Jean R. Ponciano, Luis Gustavo Nonato, Jorge Poco:
LegalVis: Exploring and Inferring Precedent Citations in Legal Documents. CoRR abs/2203.02001 (2022)
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