D. Martínez-Galicia, A. Guerra-Hernández, X. Limón, N. Cruz-Ramírez, and F. Grimaldo. A Bayesian Network Framework to Study Class Noise: Exploring the Filtering of Completely Random Noise, volume 375 of Frontiers in Artificial Intelligence and Applications, pages 128–131. IOS Press, Amsterdam, The Netherlands, 2023. | IOS Press Abstract. Although the negative consequences of noise during induction…
New Article in SofwareX
A. Platas-López, A. Guerra-Hernández, M. Quiroz-Castellanos, N. Cruz-Ramírez. dplbnDE: An R package for discriminative parameter learning of Bayesian Networks by Differential Evolution. SoftwareX, 23(2023) 101442, June 2023. ISSN 2352-7110 | DOI: 10.1016/j.softx.2023.101442 | Elsevier Abstract: The dplbnDE R package is a novel tool that implements Differential Evolution strategies for training Bayesian Network parameters using Discriminative Learning….
New Article in Expert Systems
A. Platas-López, A. Guerra-Hernández, M. Quiroz-Castellanos, N. Cruz-Ramírez. A survey on agent-based modeling assisted by machine learning. Expert Systems, e13325. May 2023. ISSN 1468-0394 | DOI: 10.1111/exsy.13325 | Wiley Abstract. Agent-based models have diversified their applications across various domains due to the ease with which different phenomena can be represented and simulated. These models incorporate heterogeneous,…
New article in Electronics
A. Platas-López, A. Guerra-Hernández, M. Quiroz-Castellanos, N. Cruz-Ramírez. Agent-Based Models Assisted by Supervised Learning: A Proposal for Model Specification. Electronics, 12(3):495. January 2023. ISSN 2079-9292 | DOI: 10.3390/electronics12030495 | MDPI Abstract. Agent-based modeling (ABM) has become popular since it allows a direct representation of heterogeneous individual entities, their decisions, and their interactions, in a given space. With the…
New article in PeerJ
G. Ortiz-Hernández, A. Guerra-Hernández, J. F. Hübner, and W. A. Luna-Ramírez. Modularization in belief-desire-intention agent programming and artifact-based envioronments. PeerJ Comput. Sci., 8:e1162, December 2022. DOI: 10.7717/peerj-cs.1162 | PeerJ Abstract. This article proposes an extension for the Agents and Artifacts meta-model to enable modularization. We adopt the Belief-Desire-Intention (BDI) model of agency to represent independent…
New book chapter
D. Martínez-Galicia, A. Guerra-Hernández, X. Limón, N. Cruz-Ramírez, and F. Grimaldo. New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics, volume 1050 of Studies in Computational Intelligence, chapter Extension of Windowing as a Learning Technique in Artificial Noisy Domains, pages 443–457. Springer Nature Switzerland AG, Cham, Switzerland, October 2022….
New book chapter
M. Bustos-López, N. Cruz-Ramírez, A. Guerra-Hernández, L. N. Sánchez-Morales, and G. Alor-Hernández. New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence, volume 966 of Studies in Computational Intelligence, chapter Emotion Detection from Text in Learning Environments: A Review, pages 483–508. Springer, Cham, Switzerland, 2021. | SpringerLink Abstract. Knowing student emotions allows teachers to efficiently adapt or…
New article in JASSS
A. Platas-López, A. Guerra-Hernández, Francisco Grimaldo. On the Macroeconomic Effect of Extortion: An Agent-Based Approach. Journal of Artificial Societies and Social Simulation 24(1):3. January 2021. DOI: 10.18564/jasss.4496, ISSN 1460-7425 | JASSS Abstract. This work proposes an agent-based approach to study the effect of extortion on macroeconomic aggregates, despite the fact that there is little data on this criminal…
New article in Applied Mathematical Modelling
A. Platas-López, E. Mezura-Montes, N. Cruz-Ramírez, A. Guerra-Hernández. Discriminative learning of bayesian network parameters by differential evolution. Applied Mathematical Modelling 93(2021): 244-256. December 2020. ISSN 0307-904X | ScienceDirect Abstract: This work proposes Differential Evolution (DE) to train parameters of Bayesian Networks (BN) for optimizing the Conditional Log-Likelihood (Discriminative Learning) instead of the log-likelihood (Generative Learning). Any…
Research Lines (LGACs)
I introduced my research line on Agents, Learning and Simulation, for our new students in the Master in AI (MIA): 2020-lgacs-mia. (spanish).