Exploiting personalized calibration and metrics for fairness recommendation. - Diego Corrêa da Silva; Marcelo Garcia Manzato; Frederico Araújo Durão (Expert Syst. Appl., 2021)

GRSPOI: A Point-of-Interest Recommender Systems for Groups Using Diversification. - Jadna Almeida da Cruz; Amanda Chagas de Oliveira; Diego Corrêa da Silva; Frederico Araújo Durão (SBSI, 2022)

Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems. - Diego Corrêa da Silva; Frederico Araújo Durão (CoRR, 2022)

How Novel and Unexpected the Calibrated Recommendations Are? - Diego Corrêa da Silva; Frederico Araújo Durão (AMCIS, 2023)

Introducing a framework and a decision protocol to calibrated recommender systems. - Diego Corrêa da Silva; Frederico Araújo Durão (Appl. Intell., 2023)

Designing, Implementing, and Testing AI-Oriented Smart Home Applications: Challenges and Best Practices. - Denivan Campos; Luana Almeida Martins; Joselito Mota Jr.; Dhyego Tavares; Jander Pereira; Mayki Dos Santos Oliveira; Denis Boaventura; Diego Corrêa da Silva; Eduardo Ferreira da Silva; George Pinto 001; Nilton Flávio S. Seixas; Adriano H. O. Maia; et al. (ECSA (Tracks and Workshops), 2024)

Utilization of Clustering Techniques and Markov Chains for Long-Tail Item Recommendation Systems. - Diogo Vinícius de Sousa Silva; Davi Silva da Cruz; Diego Corrêa da Silva; João Paulo Dias de Almeida; Frederico Araújo Durão (WEBIST, 2024)

Benchmarking fairness measures for calibrated recommendation systems on movies domain. - Diego Corrêa da Silva; Frederico Araújo Durão (Expert Syst. Appl., 2025)

Evaluating Multi-Label Machine Learning Models for Smart Home Environments. - Diego Corrêa da Silva; Denis Robson Dantas Boaventura; Mayki Dos Santos Oliveira; Jander Pereira Santos Junior; Eduardo Ferreira da Silva; Eduardo Santana de Almeida; Cássio V. S. Prazeres; Ivan do Carmo Machado; Maycon Leone Maciel Peixoto; Gustavo Bittencourt Figueiredo; Frederico Araújo Durão (Softw. Pract. Exp., 2025)

Considering Time and Feature Entropy in Calibrated Recommendations. - Diego Corrêa da Silva; Dietmar Jannach; Frederico Araújo Durão (ACM Trans. Intell. Syst. Technol., 2025)

Calibrated Recommendations: Survey and Future Directions. - Diego Corrêa da Silva; Dietmar Jannach (CoRR, 2025)