Luis Enrique Sucar

National Institute of Astrophysics, Optics and Electronics — Mexico

Computer Science · Physical Sciences

35h-index5.5kcitations439works0.92yr avg
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Research Topics

Bayesian Modeling and Causal Inference(109), AI-based Problem Solving and Planning(58), Advanced Image and Video Retrieval Techniques(56), Image Retrieval and Classification Techniques(47), Robotics and Sensor-Based Localization(33)

Publications439 total

Single-Stage Causal Incentive Design via Optimal Interventions
Entropy·2025Open Access
Causal Reasoning
Computer science foundations and applied logic·2025
Applications in Biomedicine
Computer science foundations and applied logic·2025
Applications in Artificial Intelligence and Robotics
Computer science foundations and applied logic·2025
Causal Discovery
Computer science foundations and applied logic·2025Open Access
Causal Discovery from Observational Data
Computer science foundations and applied logic·2025
Causal Discovery from Interventional Data
Computer science foundations and applied logic·2025
Causal Graphical Models
Computer science foundations and applied logic·2025
Causal Reinforcement Learning
Computer science foundations and applied logic·2025Open Access
Applications in Social Sciences
Computer science foundations and applied logic·2025Open Access
Introduction
Computer science foundations and applied logic·2025
Causal Discovery from Temporal Data
Computer science foundations and applied logic·2025
Dile: a distribution-based incremental learning approach
Pattern Analysis and Applications·2025
Choosing with Unknown Causal Information: Action-Outcome Probabilities for Decision-Making Can be Grounded in Causal Models
Erkenntnis·2025Open Access
Affective Embodied Agent for Patient Assistance in Virtual Rehabilitation
IEEE Transactions on Affective Computing·2025
Semi-supervised hierarchical multi-label classifier based on local information
International Journal of Approximate Reasoning·2025· 1 cited
Evaluating Deep Reinforcement Learning for Robotic Navigation
Lecture notes in computer science·2025
Detection of Concept Drift in Bayesian Networks
Lecture notes in computer science·2025
Competence-Based Student Modelling with Dynamic Bayesian Networks
Lecture notes in computer science·2025
Semi-supervised Hierarchical Bayesian Multi-label Classification
Lecture notes in computer science·2025· 1 cited
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Frequent Co-authors

Eduardo F. Morales(11), Juan Irving Vasquez-Gomez(6), Hugo Jair Escalante(5), Manuel Montes(4), Rafael Murrieta-Cid(4), Pablo Hernández-Leal(4), Felipe Orihuela‐Espina(3), Ronald Leder(3), Jorge Hernández-Franco(3), Leonardo Chang(3), Efraín López-Damian(2), Julio H. Zaragoza(2), Concha Bielza(2), Pedro Larrañaga(2), David J. Reinkensmeyer(2), Israel Sánchez-Villavicencio(2), Lorena Palafox(2), Miguel González-Mendoza(2), Gustavo Figueroa(2), Pablo H. Ibargüengoytia(2)