[inline-graphic not available: see fulltext] ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. - Fillipe dos Santos Silva; Gabriel Kenzo Kakimoto; Júlio Cesar dos Reis; Marcelo S. Reis (BRACIS (1), 2024)

[inline-graphic not available: see fulltext] SERIEMA: A Framework to Enhance Clustering Stability, Compactness, and Separation by Fusing Multimodal Data. - Fillipe dos Santos Silva; Júlio Cesar dos Reis; Marcelo da Silva Reis (NLDB (1), 2024)

Topic Modeling Influence in Sentiment Analysis from User-generated Product Reviews. - Patrick A. M. De Araújo; Seyed Jamal Haddadi; Fillipe dos Santos Silva; Marcelo da Silva Reis; Júlio Cesar dos Reis (WETICE, 2024)

ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation. - Fillipe dos Santos Silva; Gabriel Kenzo Kakimoto; Júlio Cesar dos Reis; Marcelo S. Reis (CoRR, 2024)

Customer churn prediction in imbalanced datasets with resampling methods: A comparative study. - Seyed Jamal Haddadi; Aida Farshidvard; Fillipe dos Santos Silva; Júlio Cesar dos Reis; Marcelo da Silva Reis (Expert Syst. Appl., 2024)

Segment, Recommend, and Explain: Advancing Conversational Recommender Systems with Large Language Model Agents. - Fillipe dos Santos Silva (UMAP, 2025)