Diego Corrêa da Silva

16 papers C 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrated Recommendations: Survey and Future Directions.
Trans. Recomm. Syst.
Diego Corrêa da Silva, Dietmar Jannach
2026 J jnl
Multi-Label Incremental Learning for State Prediction of Actuator Devices in Smart Homes.
IEEE Open J. Comput. Soc.
Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Denis Robson Dantas Boaventura, Joel Machado Pires, Isaque Santana Copque, Diego Corrêa da Silva, Ricardo Araújo Rios, Ivan do Carmo Machado, Cássio Vinicius Serafim Prazeres, Maycon Leone Maciel Peixoto, Gustavo Bittencourt Figueiredo, Eduardo Santana de Almeida, Frederico Araújo Durão
2026 J jnl
State recommender system for actuator devices in smart homes: Integration of deep reinforcement learning and implicit feedback.
Expert Syst. Appl.
Denis Robson Dantas Boaventura, Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Diego Corrêa da Silva, Frederico Araújo Durão
2025 J jnl
A Case Study of Smart Home Development.
IEEE Softw.
Luana Almeida Martins, Denivan Campos, Joselito Mota Júnior, Dhyego Tavares, Jander Júnior, Mayki dos Santos Oliveira, Denis Boaventura, Diego Corrêa da Silva, Eduardo Ferreira da Silva, George Pinto, Nilton Flávio S. Seixas, Adriano H. O. Maia, Matias Romário Pinheiro dos Santos, Ernando Batista, Frederico Araújo Durão, Gustavo Bittencourt Figueiredo, Maycon L. M. Peixoto, Cássio V. S. Prazeres, Ivan do Carmo Machado, Eduardo Santana de Almeida
2025 J jnl
Benchmarking fairness measures for calibrated recommendation systems on movies domain.
Expert Syst. Appl.
Diego Corrêa da Silva, Frederico Araújo Durão
2025 J jnl
Calibrated Recommendations: Survey and Future Directions.
CoRR
Diego Corrêa da Silva, Dietmar Jannach
2025 J jnl
Considering Time and Feature Entropy in Calibrated Recommendations.
ACM Trans. Intell. Syst. Technol.
Diego Corrêa da Silva, Dietmar Jannach, Frederico Araújo Durão
2025 J jnl
Evaluating Multi-Label Machine Learning Models for Smart Home Environments.
Softw. Pract. Exp.
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
2025 J jnl
Understanding Distribution Structure on Calibrated Recommendation Systems.
CoRR
Diego Corrêa da Silva, Denis Robson Dantas Boaventura, Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Joel Machado Pires, Frederico Araújo Durão
2024 — conf
Designing, Implementing, and Testing AI-Oriented Smart Home Applications: Challenges and Best Practices.
ECSA (Tracks and Workshops)
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, Nilton Flávio S. Seixas, Adriano H. O. Maia, Matias Romário Pinheiro dos Santos, Ernando Passos, Frederico Araújo Durão, Gustavo B. Figueiredo, Maycon L. M. Peixoto, Tiago Januario, Cássio V. S. Prazeres, Ivan Machado, Eduardo Santana de Almeida
2024 C conf
Utilization of Clustering Techniques and Markov Chains for Long-Tail Item Recommendation Systems.
WEBIST
Diogo Vinícius de Sousa Silva, Davi Silva da Cruz, Diego Corrêa da Silva, João Paulo Dias de Almeida, Frederico Araújo Durão
2023 — conf
How Novel and Unexpected the Calibrated Recommendations Are?
AMCIS
Diego Corrêa da Silva, Frederico Araújo Durão
2023 J jnl
Introducing a framework and a decision protocol to calibrated recommender systems.
Appl. Intell.
Diego Corrêa da Silva, Frederico Araújo Durão
2022 — conf
GRSPOI: A Point-of-Interest Recommender Systems for Groups Using Diversification.
SBSI
Jadna Almeida da Cruz, Amanda Chagas de Oliveira, Diego Corrêa da Silva, Frederico Araújo Durão
2022 J jnl
Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems.
CoRR
Diego Corrêa da Silva, Frederico Araújo Durão
2021 J jnl
Exploiting personalized calibration and metrics for fairness recommendation.
Expert Syst. Appl.
Diego Corrêa da Silva, Marcelo Garcia Manzato, Frederico Araújo Durão