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ORCIDM. Julia Flores
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- affiliation: University of Castilla-La Mancha, Spain
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2020 – today
- 2024
[j17]Jaime Ramírez Castillo, M. Julia Flores
, Philippe Leray:
Predicting spotify audio features from Last.fm tags. Multim. Tools Appl. 83(16): 48311-48330 (2024)- [j16]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): 99 (2024) - [i3]M. Julia Flores, Melissa Ruiz-Vásquez, Ana Bastos, Rene Orth:
Applying ranking techniques for estimating influence of Earth variables on temperature forecast error. CoRR abs/2403.07966 (2024) - 2023
- [j15]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): 103368 (2023) - 2022
- [j14]Fernando Rubio, M. Julia Flores, José Miguel Puerta:
Ranking-based scores for the assessment of aesthetic quality in photography. Signal Process. Image Commun. 108: 116803 (2022) - 2021
- [j13]Jaime Ramírez Castillo, M. Julia Flores:
Web-Based Music Genre Classification for Timeline Song Visualization and Analysis. IEEE Access 9: 18801-18816 (2021) - [j12]Fernando Rubio Perona, María Julia Flores Gallego, José Miguel Puerta Callejón:
An Application for Aesthetic Quality Assessment in Photography with Interpretability Features. Entropy 23(11): 1389 (2021) - 2020
- [j11]Jaime Ramírez, M. Julia Flores:
Machine learning for music genre: multifaceted review and experimentation with audioset. J. Intell. Inf. Syst. 55(3): 469-499 (2020) - [j10]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): 704-717 (2020)
2010 – 2019
- 2019
- [i2]Jaime Ramírez, M. Julia Flores:
Machine learning for music genre: multifaceted review and experimentation with audioset. CoRR abs/1911.12618 (2019) - 2017
- [j9]Fernando Rubio, Jesus Martínez-Gómez, M. Julia Flores, José Miguel Puerta:
Integration of contextual information into the scene classification problem. Robotics Auton. Syst. 97: 171-181 (2017) - [c15]Fernando Rubio, M. Julia Flores, José Miguel Puerta:
Drawing a baseline in aesthetic quality assessment. ICMV 2017: 106961M - 2016
- [j8]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: 434-443 (2016) - 2015
- [c14]M. Julia Flores, José A. Gámez:
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets. ICAART (2) 2015: 382-389 - 2014
- [j7]M. Julia Flores, José A. Gámez, Ana M. Martínez:
Domains of competence of the semi-naive Bayesian network classifiers. Inf. Sci. 260: 120-148 (2014) - 2013
- [e1]Ann E. Nicholson, John Mark Agosta, M. Julia Flores:
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012. CEUR Workshop Proceedings 962, CEUR-WS.org 2013 [contents] - 2012
- [c13]Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez:
Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) 2012: 151-162 - [c12]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: 746-755 - [i1]M. Julia Flores, José A. Gámez, Kristian G. Olesen:
Incremental Compilation of Bayesian networks. CoRR abs/1212.2456 (2012) - 2011
- [j6]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): 372-385 (2011) - [j5]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): 181-204 (2011) - [j4]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): 155-191 (2011) - [c11]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: 593-598 - 2010
- [c10]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: 570-579
2000 – 2009
- 2009
- [c9]M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen:
The PDG-Mixture Model for Clustering. DaWaK 2009: 378-389 - [c8]M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta:
HODE: Hidden One-Dependence Estimator. ECSQARU 2009: 481-492 - [c7]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: 313-320 - 2008
- [p2]M. Julia Flores, José A. Gámez, Serafín Moral:
Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. Innovations in Bayesian Networks 2008: 251-280 - 2007
- [j3]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): 96-109 (2007) - 2006
- [j2]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): 69-77 (2006) - [c6]M. Julia Flores, José A. Gámez, Serafín Moral:
The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models 2006: 83-90 - [p1]M. Julia Flores, José A. Gámez, José Miguel Puerta:
Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology. Towards a New Evolutionary Computation 2006: 259-280 - 2005
- [c5]M. Julia Flores, José A. Gámez, Serafín Moral:
Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU 2005: 63-75 - [c4]M. Julia Flores, José A. Gámez:
Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction. KES (2) 2005: 1338-1346 - 2003
- [j1]M. Julia Flores, José A. Gámez:
Triangulation of Bayesian networks by retriangulation. Int. J. Intell. Syst. 18(2): 153-164 (2003) - [c3]Olav Bangsø, M. Julia Flores, Finn Verner Jensen:
Plug & Play Object Oriented Bayesian Networks. CAEPIA 2003: 457-467 - [c2]M. Julia Flores, José A. Gámez, Kristian G. Olesen:
Incremental compilation of Bayesian networks. UAI 2003: 233-240 - 2002
- [c1]M. Julia Flores, José A. Gámez:
Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study. ICEIS 2002: 350-357
Coauthor Index
aka: José Miguel Puerta Callejón
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