M. Julia Flores

41 papers A* 1A 1B 2C 4Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysis of image aesthetics assessment as a positive-unlabelled problem.
Signal Process. Image Commun.
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2025 J jnl
SEVERIA: A conceptual online tool to assess potential burn severity of wildfires in Mediterranean forests.
Ecol. Informatics
Daniel Moya, Esther Peña-Molina, Anabel Morales, Alejandro Martínez, M. Julia Flores, Juan Jose Pardo, Fernando Chico, Jorge de las Heras
2025 J jnl
Sequence-based undersampling: an algorithm for managing imbalanced datasets.
PeerJ Comput. Sci.
Bastian A. Troncoso, José Antonio Mateo-Cortés, M. Julia Flores, Francisco J. Tapiador
2025 J jnl
User-centric Music Recommendations.
CoRR
Jaime Ramírez Castillo, M. Julia Flores, Ann E. Nicholson
2024 J jnl
Applying ranking techniques for estimating influence of Earth variables on temperature forecast error.
CoRR
M. Julia Flores, Melissa Ruiz-Vásquez, Ana Bastos, Rene Orth
2024 J jnl
Evaluation of data augmentation techniques on subjective tasks.
Mach. Vis. Appl.
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2024 J jnl
Predicting spotify audio features from Last.fm tags.
Multim. Tools Appl.
Jaime Ramírez Castillo, M. Julia Flores, Philippe Leray
2023 J jnl
Novel groundtruth transformations for the aesthetic assessment problem.
Inf. Process. Manag.
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José M. Puerta
2022 J jnl
Ranking-based scores for the assessment of aesthetic quality in photography.
Signal Process. Image Commun.
Fernando Rubio, M. Julia Flores, José M. Puerta
2021 J jnl
Web-Based Music Genre Classification for Timeline Song Visualization and Analysis.
IEEE Access
Jaime Ramírez Castillo, M. Julia Flores
2020 J jnl
Data Capture and Multimodal Learning Analytics Focused on Engagement With a New Wearable IoT Approach.
IEEE Trans. Learn. Technol.
Vicente López Camacho, Elena de la Guía, Teresa Olivares, M. Julia Flores, Luis Orozco-Barbosa
2020 J jnl
Machine learning for music genre: multifaceted review and experimentation with audioset.
J. Intell. Inf. Syst.
Jaime Ramírez, M. Julia Flores
2019 J jnl
Machine learning for music genre: multifaceted review and experimentation with audioset.
CoRR
Jaime Ramírez, M. Julia Flores
2017 C conf
Drawing a baseline in aesthetic quality assessment.
ICMV
Fernando Rubio, M. Julia Flores, José M. Puerta
2017 J jnl
Integration of contextual information into the scene classification problem.
Robotics Auton. Syst.
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta
2016 J jnl
Comparison between Bayesian network classifiers and SVMs for semantic localization.
Expert Syst. Appl.
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José M. Puerta
2015 — conf
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets.
ICAART (2)
M. Julia Flores, José A. Gámez
2014 J jnl
Domains of competence of the semi-naive Bayesian network classifiers.
Inf. Sci.
M. Julia Flores, José A. Gámez, Ana M. Martínez
2013 — ed.
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012
BMA
Ann E. Nicholson, John Mark Agosta, M. Julia Flores
2012 B conf
Evaluation of a Thermal-Comfort Control System Using Real Data.
KES
Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José M. Puerta
2012 J jnl
Incremental Compilation of Bayesian networks
CoRR
M. Julia Flores, José A. Gámez, Kristian G. Olesen
2012 — conf
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers.
HAIS (2)
Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez
2011 J jnl
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
Appl. Intell.
M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2011 J jnl
Incorporating expert knowledge when learning Bayesian network structure: A medical case study.
Artif. Intell. Medicine
M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro
2011 J jnl
Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
M. Julia Flores, José A. Gámez, Kristian G. Olesen
2011 C conf
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.
ISDA
M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
2010 — conf
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers.
IEA/AIE (1)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2009 A* conf
GAODE and HAODE: two proposals based on AODE to deal with continuous variables.
ICML
M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2009 C conf
HODE: Hidden One-Dependence Estimator.
ECSQARU
M. Julia Flores, José A. Gámez, Ana M. Martínez, José M. Puerta
2009 B conf
The PDG-Mixture Model for Clustering.
DaWaK
M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen
2008 — ch.
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem.
Innovations in Bayesian Networks
M. Julia Flores, José A. Gámez, Serafín Moral
2007 J jnl
Initial breeding value prediction on Manchego sheep by using rule-based systems.
Expert Syst. Appl.
Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta
2006 — ch.
Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology.
Towards a New Evolutionary Computation
M. Julia Flores, José A. Gámez, José M. Puerta
2006 J jnl
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos.
Inteligencia Artif.
M. Julia Flores, José A. Gámez, Juan L. Mateo, José M. Puerta
2006 — conf
The Independency tree model: a new approach for clustering and factorisation.
Probabilistic Graphical Models
M. Julia Flores, José A. Gámez, Serafín Moral
2005 C conf
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space.
ECSQARU
M. Julia Flores, José A. Gámez, Serafín Moral
2005 — conf
Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction.
KES (2)
M. Julia Flores, José A. Gámez
2003 A conf
Incremental compilation of Bayesian networks.
UAI
M. Julia Flores, José A. Gámez, Kristian G. Olesen
2003 — conf
Plug & Play Object Oriented Bayesian Networks.
CAEPIA
Olav Bangsø, M. Julia Flores, Finn Verner Jensen
2003 J jnl
Triangulation of Bayesian networks by retriangulation.
Int. J. Intell. Syst.
M. Julia Flores, José A. Gámez
2002 — conf
Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study.
ICEIS
M. Julia Flores, José A. Gámez