November 2025
Wednesday 12 de November de
- 15:00 – 16:00
- Dissertação | Ricardo de Oliveira e Britto Perucci | Metaheurísticas Aplicadas na Otimização do Peso de Estruturas Para Linhas de Transmissão de Energia Elétrica
Thursday 13 de November de
- 14:00 – 15:00
- Proposta de Tese | Henrique Gomes Nunes | LARGE LANGUAGE MODELS FOR CODE REFACTORING
Friday 14 de November de
- 10:00 – 11:00
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Palestra | Less Talk, more data: bringing evidence for different applications | Michele Brandão, DCC/UFMG
Sala 2077 do ICEx
Monday 17 de November de
- 15:00 – 16:00
- Tese | Flávio Roberto dos Santos Coutinho | Geração Procedural de Personagens em Pixel Art com Redes Neurais Geradoras Adversárias
Friday 21 de November de
- 14:00 – 15:00
- Dissertação | Luciano Ermelindo de Almeida | Problema de Orientação Clusterizado com Subgrupos
Friday 28 de November de
- 09:00 – 10:00
- Dissertação | Rafael Alvarenga de Azevedo | Idempotent Backward Slices: A GSA-Based Approach to Code-Size Reduction
- 10:00 – 11:00
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Proposta de tese | Bruno Laporais Pereira | On the Reliability of Sampling Strategies in Offline Recommender Evaluation
Sala 2077 do ICEx
December 2025
Wednesday 3 de December de
- 14:00 – 15:00
-
Tese | Leonardo Alvarenga Lopes Santos | N-Deployment: A Service-Oriented and Intelligent Infrastructure Deployment Strategy for Vehicular Networks in Complex Urban Environments
Sala 2077 do ICEx
Thursday 4 de December de
- 09:30 – 10:30
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Dissertação | Igor Lacerda Tomich | Federated Learning Framework for Resource-Constrained Devices with FPGA-Based Neural Acceleration
Sala 2077 do ICEx
Friday 5 de December de
- 14:00 – 15:00
- Dissertação | Ian Guelman | Assessing the Effectiveness of Large Language Models in Code Comment Generation
Thursday 11 de December de
- 08:30 – 09:30
- Tese | Mariana de Oliveira Santos Silva | A Computational Framework for Measuring and Analyzing Gender Bias in Portuguese-language Literary Texts
Monday 15 de December de
- 10:00 – 11:00
- Proposta de tese | Liziane Santos Soares | A Comprehensive Investigation of the Impact of Locality on the Explainability of Automatic Text Classification