M. Julia Flores

According to our database, M. Julia Flores authored at least 33 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Applying ranking techniques for estimating influence of Earth variables on temperature forecast error.

M. Julia Flores, Melissa Ruiz-Vásquez, Ana Bastos, Rene Orth

CoRR, 2024

2023

Novel groundtruth transformations for the aesthetic assessment problem.

Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José Miguel Puerta

Inf. Process. Manag., 2023

2022

Ranking-based scores for the assessment of aesthetic quality in photography.

Fernando Rubio, M. Julia Flores, José Miguel Puerta

Signal Process. Image Commun., 2022

2021

An Application for Aesthetic Quality Assessment in Photography with Interpretability Features.

Fernando Rubio Perona, María Julia Flores Gallego, José Miguel Puerta Callejón

Entropy, 2021

Web-Based Music Genre Classification for Timeline Song Visualization and Analysis.

Jaime Ramírez Castillo, M. Julia Flores

IEEE Access, 2021

2020

Data Capture and Multimodal Learning Analytics Focused on Engagement With a New Wearable IoT Approach.

Vicente López Camacho, Elena de la Guía, Teresa Olivares, M. Julia Flores, Luis Orozco-Barbosa

IEEE Trans. Learn. Technol., 2020

Machine learning for music genre: multifaceted review and experimentation with audioset.

Jaime Ramírez, M. Julia Flores

J. Intell. Inf. Syst., 2020

2017

Integration of contextual information into the scene classification problem.

Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta

Robotics Auton. Syst., 2017

Drawing a baseline in aesthetic quality assessment.

Fernando Rubio, M. Julia Flores, José Miguel Puerta

Proceedings of the Tenth International Conference on Machine Vision, 2017

2016

Comparison between Bayesian network classifiers and SVMs for semantic localization.

Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta

Expert Syst. Appl., 2016

2015

Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets.

M. Julia Flores, José A. Gámez

Proceedings of the ICAART 2015, 2015

2014

Domains of competence of the semi-naive Bayesian network classifiers.

M. Julia Flores, José A. Gámez, Ana M. Martínez

Inf. Sci., 2014

2012

Evaluation of a Thermal-Comfort Control System Using Real Data.

Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José Miguel Puerta

Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers.

Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs.

M. Julia Flores, José A. Gámez, Kristian G. Olesen

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

Incorporating expert knowledge when learning Bayesian network structure: A medical case study.

M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro

Artif. Intell. Medicine, 2011

Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?

M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta

Appl. Intell., 2011

Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.

M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers.

M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta

Proceedings of the Trends in Applied Intelligent Systems, 2010

2009

GAODE and HAODE: two proposals based on AODE to deal with continuous variables.

M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

HODE: Hidden One-Dependence Estimator.

M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

The PDG-Mixture Model for Clustering.

M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen

Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008

Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.

M. Julia Flores, José A. Gámez, Serafín Moral

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

2007

Initial breeding value prediction on Manchego sheep by using rule-based systems.

Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta

Expert Syst. Appl., 2007

2006

Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos.

M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta

Inteligencia Artif., 2006

The Independency tree model: a new approach for clustering and factorisation.

M. Julia Flores, José A. Gámez, Serafín Moral

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.

M. Julia Flores, José A. Gámez, José Miguel Puerta

Proceedings of the Towards a New Evolutionary Computation, 2006

2005

Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction.

M. Julia Flores, José A. Gámez

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.

M. Julia Flores, José A. Gámez, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2003

Triangulation of Bayesian networks by retriangulation.

M. Julia Flores, José A. Gámez

Int. J. Intell. Syst., 2003

Incremental compilation of Bayesian networks.

M. Julia Flores, José A. Gámez, Kristian G. Olesen

Proceedings of the UAI '03, 2003

Plug & Play Object Oriented Bayesian Networks.

Olav Bangsø, M. Julia Flores, Finn Verner Jensen

Proceedings of the Current Topics in Artificial Intelligence, 2003

2002

Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study.

M. Julia Flores, José A. Gámez

Proceedings of the ICEIS 2002, 2002