M. Julia Flores

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 13

Top Topics

Bayesian Network Classifiers

Aesthetic Quality

Music Genre Classification

Top Venues

Inf. Process. Manag.

Multim. Tools Appl.

Signal Process. Image Commun.

Publications

M. Julia Flores, Melissa Ruiz-Vásquez, Ana Bastos, Rene Orth
Applying ranking techniques for estimating influence of Earth variables on temperature forecast error. CoRR (2024)
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José Miguel Puerta
Evaluation of data augmentation techniques on subjective tasks. Mach. Vis. Appl. 35 (4) (2024)
Jaime Ramírez Castillo, M. Julia Flores, Philippe Leray
Predicting spotify audio features from Last.fm tags. Multim. Tools Appl. 83 (16) (2024)
Luis Gonzalez-Naharro, M. Julia Flores, Jesus Martínez-Gómez, José Miguel Puerta
Novel groundtruth transformations for the aesthetic assessment problem. Inf. Process. Manag. 60 (4) (2023)
Fernando Rubio, M. Julia Flores, José Miguel Puerta
Ranking-based scores for the assessment of aesthetic quality in photography. Signal Process. Image Commun. 108 (2022)
Jaime Ramírez Castillo, M. Julia Flores
Web-Based Music Genre Classification for Timeline Song Visualization and Analysis. IEEE Access 9 (2021)
Vicente López Camacho, Elena de la Guía, Teresa Olivares, M. Julia Flores, Luis Orozco-Barbosa
Data Capture and Multimodal Learning Analytics Focused on Engagement With a New Wearable IoT Approach. IEEE Trans. Learn. Technol. 13 (4) (2020)
Jaime Ramírez, M. Julia Flores
Machine learning for music genre: multifaceted review and experimentation with audioset. J. Intell. Inf. Syst. 55 (3) (2020)
Jaime Ramírez, M. Julia Flores
Machine learning for music genre: multifaceted review and experimentation with audioset. CoRR (2019)
Fernando Rubio, M. Julia Flores, José Miguel Puerta
Drawing a baseline in aesthetic quality assessment. ICMV (2017)
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta
Integration of contextual information into the scene classification problem. Robotics Auton. Syst. 97 (2017)
Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta
Comparison between Bayesian network classifiers and SVMs for semantic localization. Expert Syst. Appl. 64 (2016)
M. Julia Flores, José A. Gámez
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets. ICAART (2) (2015)
M. Julia Flores, José A. Gámez, Ana M. Martínez
Domains of competence of the semi-naive Bayesian network classifiers. Inf. Sci. 260 (2014)
Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) (2012)
Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José Miguel Puerta
Evaluation of a Thermal-Comfort Control System Using Real Data. KES (2012)
M. Julia Flores, José A. Gámez, Kristian G. Olesen
Incremental Compilation of Bayesian networks CoRR (2012)
M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA (2011)
M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro
Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artif. Intell. Medicine 53 (3) (2011)
M. Julia Flores, José A. Gámez, Kristian G. Olesen
Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19 (2) (2011)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? Appl. Intell. 34 (3) (2011)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. IEA/AIE (1) (2010)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
HODE: Hidden One-Dependence Estimator. ECSQARU (2009)
M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta
GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML (2009)
M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen
The PDG-Mixture Model for Clustering. DaWaK (2009)
Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta
Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Syst. Appl. 33 (1) (2007)
M. Julia Flores, José A. Gámez, Juan L. Mateo, José Miguel Puerta
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artif. 10 (29) (2006)
M. Julia Flores, José A. Gámez, Serafín Moral
The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models (2006)
M. Julia Flores, José A. Gámez
Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction. KES (2) (2005)
M. Julia Flores, José A. Gámez, Serafín Moral
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU (2005)
M. Julia Flores, José A. Gámez, Kristian G. Olesen
Incremental compilation of Bayesian networks. UAI (2003)
M. Julia Flores, José A. Gámez
Triangulation of Bayesian networks by retriangulation. Int. J. Intell. Syst. 18 (2) (2003)
Olav Bangsø, M. Julia Flores, Finn Verner Jensen
Plug & Play Object Oriented Bayesian Networks. CAEPIA (2003)
M. Julia Flores, José A. Gámez
Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study. ICEIS (2002)