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M. Julia Flores  (ORCID: 0000-0001-6956-3184)
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Year
Elvira: An environment for creating and using probabilistic graphical models
Elvira Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 2002
1802002
Incorporating expert knowledge when learning Bayesian network structure: a medical case study
MJ Flores, AE Nicholson, A Brunskill, KB Korb, S Mascaro
Artificial intelligence in medicine 53 (3), 181-204, 2011
1382011
Design and simulation of a thermal comfort adaptive system based on fuzzy logic and on-line learning
P Bermejo, L Redondo, L de la Ossa, D Rodríguez, J Flores, C Urea, ...
Energy and Buildings 49, 367-379, 2012
832012
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Applied Intelligence 34 (3), 372-385, 2011
512011
Prediction of coffee rust disease using bayesian networks
CB Pérez-Ariza, AE Nicholson, MJ Flores
Proceedings of the Sixth European Workshop on Probabilistic Graphical Models …, 2012
492012
Combining state and transition models with dynamic Bayesian networks
AE Nicholson, MJ Flores
Ecological Modelling 222 (3), 555-566, 2011
452011
Incremental compilation of Bayesian networks
JM Flores, JA Gámez, KG Olesen
arXiv preprint arXiv:1212.2456, 2012
442012
Plug&Play Object Oriented Bayesian Networks
O Bangsø, MJ Flores, FV Jensen
Conference on Technology Transfer, 457-467, 2003
322003
Domains of competence of the semi-naive Bayesian network classifiers
MJ Flores, JA Gámez, AM Martínez
Information Sciences 260, 120-148, 2014
292014
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Proceedings of the 26th annual international conference on machine learning …, 2009
272009
Abductive inference in Bayesian networks: finding a partition of the explanation space
MJ Flores, JA Gámez, S Moral
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2005
212005
Supervised classification with Bayesian networks: A review on models and applications
MJ Flores, JA Gámez, AM Martínez
Intelligent data analysis for real-life applications: theory and practice …, 2012
192012
Machine learning for music genre: multifaceted review and experimentation with audioset
J Ramírez, MJ Flores
Journal of Intelligent Information Systems 55 (3), 469-499, 2020
182020
HODE: Hidden one-dependence estimator
MJ Flores, JA Gámez, AM Martínez, JM Puerta
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
182009
Comparison between Bayesian network classifiers and SVMs for semantic localization
F Rubio, J Martínez-Gómez, MJ Flores, JM Puerta
Expert Systems with Applications 64, 434-443, 2016
172016
Triangulation of Bayesian networks by retriangulation
MJ Flores, JA Gámez
International Journal of Intelligent Systems 18 (2), 153-164, 2003
162003
Bayesian networks Inference: Advanced algorithms for triangulation and partial abduction
MJ Flores
University of Castilla, La Mancha, 2005
15*2005
Mining the esrom: A study of breeding value classification in manchego sheep by means of attribute selection and construction
MJ Flores, JA Gámez, JL Mateo
Computers and Electronics in Agriculture 60 (2), 167-177, 2008
142008
A review on distinct methods and approaches to perform triangulation for Bayesian networks
MJ Flores, JA Gámez
Advances in Probabilistic Graphical Models, 127-152, 2007
132007
Data Capture and Multimodal Learning Analytics Focused on Engagement with a New Wearable IoT Approach
VL Camacho, E de la Guía, T Olivares, MJ Flores, L Orozco-Barbosa
IEEE Transactions on Learning Technologies 13 (4), 704-717, 2020
122020
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