Henrique de Oliveira Caetano

According to our database, Henrique de Oliveira Caetano authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Quantifying causal effects to enhance explainability in Causal Bayesian Networks.

Rafael Arone, Henrique de Oliveira Caetano, Carlos Dias Maciel

Knowl. Based Syst., 2026

From undirected topologies to directed effects: A clique tree approach for spatiotemporal causal inference in complex networks.

Henrique de Oliveira Caetano, Luiz Desuó Neto, Marco Aiello, Carlos Dias Maciel

Neurocomputing, 2026

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas.

Luiz Desuó Neto, Henrique de Oliveira Caetano, Matheus de Souza Sant'Anna Fogliatto, Carlos Dias Maciel

Entropy, 2026

2025

A Bayesian Hierarchical Model for Generating Synthetic Unbalanced Power Distribution Grids.

Henrique de Oliveira Caetano, Rahul K. Gupta, Marco Aiello, Carlos Dias Maciel

CoRR, January, 2025

Integrating structural and operational knowledge into multi-state system modeling: Application in urban infrastructures.

Henrique de Oliveira Caetano, Luiz Desuó Neto, Marco Aiello, Carlos Dias Maciel

Knowl. Based Syst., 2025

Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields.

Luiz Desuó Neto, Henrique de Oliveira Caetano, Matheus de Souza Sant'Anna Fogliatto, Carlos Dias Maciel

Expert Syst. Appl., 2025

2024

A Multilayer System and Optimization Framework for Team Dispatch Towards Service Recovery.

Luiz Desuó Neto, Matheus de Souza Sant'Anna Fogliatto, Henrique de Oliveira Caetano, Benvindo R. Pereira Júnior, João Bosco A. London Jr., Carlos Dias Maciel

IEEE Trans. Reliab., March, 2024

Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation.

Henrique de Oliveira Caetano, Luiz Desuó Neto, Matheus de Souza Sant'Anna Fogliatto, Carlos Dias Maciel

Reliab. Eng. Syst. Saf., January, 2024

Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation.

Henrique de Oliveira Caetano, Matheus de Souza Sant'Anna Fogliatto, Luiz Desuó Neto, Benvindo R. Pereira Júnior, Carlos Dias Maciel, Marco Aiello

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

Quantifying uncertainty in Bayesian Networks structural learning.

Vitor Barth, Henrique de Oliveira Caetano, Carlos Dias Maciel, Marco Aiello

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2022

A Multilevel Crews Patrolling Framework for Distribution System Recovering.

Matheus de Souza Sant'Anna Fogliatto, Luiz Desuó Neto, Henrique de Oliveira Caetano, Rodrigo Zempulski Fanucchi, Carlos Dias Maciel

Proceedings of the IEEE International Systems Conference, 2022