[gtranslate]
2025
2024
2023
2022
2021
2020
2025
- FALEIROS, THIAGO P.; ALTHOFF, PAULO EDUARDO; DEMÉTRIUS BARIA VALEJO, ALAN. Analyzing the Impact of Coarsening on k-Partite Network Classification. Lecture Notes in Computer Science. Springer Nature Switzerland, 2025.
- GODOI, G.; RIVOLLI, A.; FREIRE, D. L.; PEREIRA, F. S. F.; VENTURA, N. R.; ALMEIDA, A. M. G.; GARCIA, L. P. F.; DIAS, M. S.; CARVALHO, A. C. P. L. F. Assessing rule-based document segmentation and word normalization for legal ruling classification. In: 26th Annual International Conference on Digital Government Research (dg.o 2025), 2025.
- WU, W. B. T. L.; GARCIA, L. P. F. ModBERTBr: A ModernBERT-based Model for Brazilian Portuguese. In: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 22º ENIAC, 2025.
- LOPES NETO, F. H.; GARCIA, L. P. F. Evaluation of a Hybrid Approach to Legal Entity Recognition. In: ENIAC 2025, 22º Encontro Nacional de Inteligência Artificial e Computacional, 2025.
- OLIVEIRA, M.; PIO, P. B.; GARCIA, L. P. F. Generative SLMs Meet Brazilian Legal Documents: Efficient NER via LoRA Fine-tuning. In: Brazilian Conference on Intelligent Systems (BRACIS), 35ª BRACIS, 2025.
- NOGUEIRA, G. S. C.; SANTOS, D. P.; CARVALHO, A. C. P. L. F.; GARCIA, L. P. F. Hardness Sampling: Exploring Instance Hardness in Pool-based Active Learning. In: BRACIS 2025.
BAPTISTA, J. V.; GARCIA, L. P. F. GraphRAG on Electronic Health Record: A Knowledge Graph-Enhanced RAG Approach for Healthcare Information Access. In: BRACIS 2025.
VINICIUS DE MOURA RODRIGUES, ANTONIO; BARBOSA OLIVEIRA, ROBERTA. Segmentation of Skin Lesions and Their Attributes in Dermatoscopic Images Based on Convolutional Neural Networks. Revista de Informática Teórica e Aplicada (RITA), v. 32, p. 99-106, 2025.- SOUZA, M. M. C.; PONTES, C. T.; GONDIM, J. J. C.; GARCIA, L. P. F.; DA SILVA, L.; CAVALCANTE, E. F. M.; MAROTTA, M. A. A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection. Computers & Security, v. 157, p. 104569, 2025.
- GARCIA, LUÍS P. F.; MENA-CHALCO, J. P.; GRANDO, R. L.; SILVA, W. M. C.; GUIMARAES, F. P.; JORGE, V. A. Hierarchical Article Classification: A Multi-Level Framework for Organizing Scholarly Literature. IEEE Access, v. 13, p. 1, 2025.
2024
- GUIMARÃES, GABRIEL M. C.; SILVA, FELIPE X. B.; QUEIROZ, ANDREI L.; MARCACINI, RICARDO M.; FALEIROS, THIAGO P.; BORGES, VINÍCIUS R. P.; GARCIA, LUÍS P. F. DODFMiner: An automated tool for Named Entity Recognition from Official Gazettes. Neurocomputing, v. 568, p. 127064, 2024.
- OLIVEIRA, VITOR; NOGUEIRA, GABRIEL; FALEIROS, THIAGO; MARCACINI, RICARDO. Combining prompt-based language models and weak supervision for labeling named entity recognition on legal documents. Artificial Intelligence and Law, v. 1, p. 1, 2024.
- GUIMARAES, G. M.; SILVA, F. X.; MACEDO, L. A.; LISBOA, V. H.; MARCACINI, R. M.; QUEIROZ, A. L.; BORGES, V. R.; FALEIROS, T. P.; GARCIA, L. P. Legal Document Segmentation and Labeling Through Named Entity Recognition Approaches. Journal of Information and Data Management (JIDM), v. 15, p. 123-131, 2024.
- PIO, P. B.; RIVOLLI, A.; CARVALHO, A. C. P. L. F.; GARCIA, L. P. F. Two Meta-learning approaches for noise filter algorithm recommendation. Journal of Information and Data Management (JIDM), v. 15, p. 132, 2024.
- MENA-CHALCO, J. P.; GARCIA, L. P. F.; GRANDO, R. L.; SILVA, W. M. C.; FERRARI, R. C. G.; JORGE, V. A. A identificação de áreas do conhecimento do CNPq usando o GPT. In: 9º Encontro Brasileiro de Bibliometria e Cientometria (EBBC 2024), 2024.
- DA SILVA, ERIC HANS MESSIAS; LADEIRA, MARCELO. Lessons Learned on Summarizing Legal Documents Combining Reinforcement Learning and ChatGPT. In: Intelligent Systems Design and Applications (ISDA), Porto, 2024. Lecture Notes in Networks and Systems, v. 1049, p. 414-423, 2024.
- OLIVEIRA, CLAUDIO H. M. DE; LADEIRA, MARCELO; GUIMARÃES, FLÁVIO Q. Proactive management of offensive profiles: detecting trends in cyberattacks on institutions in Brazil. In: ENIAC 2024, Porto Alegre, 2024.
2023
- EDUARDO ALTHOFF, PAULO; DEMÉTRIUS BARIA VALEJO, ALAN; DE PAULO FALEIROS, THIAGO. Coarsening effects on k-partite network classification. Applied Network Science, v. 8, p. 82, 2023.
- VALEJO, ALAN; ALTHOFF, PAULO EDUARDO; FALEIROS, THIAGO P.; FILHO, GERALDO PEREIRA ROCHA; ZHU, YU-TAO; YAN, JIANGLONG; LIU, WEIGUANG; ZHAO, LIANG. Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks. IEEE Transactions on Network Science and Engineering, v. N, p. 1-11, 2023.
- LIMA, R. H. N.; COSTA, A. R.; FALEIROS, T. P.; RALHA, C. G. An Actor-Critic Architecture for Community Detection Ablation Study. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023).
- S. NETO, J. R.; FALEIROS, T. P. Investigation of Deep Active Self-learning Algorithms Applied to Named Entity Recognition. In: BRACIS 2023, Belo Horizonte. Lecture Notes in Computer Science, v. 14197, 2023.
- AGRA, RONALDO; RESENDE, BRUNO G.; WERMELINGER, CELIO C.; DIAS, POLLYANNA C. O.; LADEIRA, MARCELO. A tree-organized chatbot proposal to provide a single digital channel to access specific chatbots in a real Brazilian digital government environment. In: CISTI 2023, Aveiro.
2022
Conteúdo da aba
2021
Conteúdo da aba
2020
Conteúdo da aba