Carlos J. Pérez
Orcid: 0000-0001-6385-9080Affiliations:
- University of Extremadura, Badajoz, Spain
According to our database1,
Carlos J. Pérez
authored at least 53 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
Automatic Update Summarization by a Multiobjective Number-One-Selection Genetic Approach.
IEEE Trans. Cybern., December, 2023
A multi-objective artificial bee colony approach for profit-aware recommender systems.
Inf. Sci., May, 2023
A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries.
Eng. Appl. Artif. Intell., March, 2023
Knowl. Based Syst., 2023
Addressing smartphone mismatch in Parkinson's disease detection aid systems based on speech.
Biomed. Signal Process. Control., 2023
2022
A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study.
Expert Syst. Appl., 2022
Learning analytics to predict students' performance: A case study of a neurodidactics-based collaborative learning platform.
Educ. Inf. Technol., 2022
Reinke's edema diagnosis support system based on voice recordings and machine learning.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2022
2021
Addressing topic modeling with a multi-objective optimization approach based on swarm intelligence.
Knowl. Based Syst., 2021
The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization.
Expert Syst. Appl., 2021
Monitoring Parkinson's disease progression based on recorded speech with missing ordinal responses and replicated covariates.
Comput. Biol. Medicine, 2021
Sentiment-oriented query-focused text summarization addressed with a multi-objective optimization approach.
Appl. Soft Comput., 2021
Replication-based regularization approaches to diagnose Reinke's edema by using voice recordings.
Artif. Intell. Medicine, 2021
Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech.
IEEE Access, 2021
2020
Un estudio de los métodos de reducción del frente de Pareto a una única solución aplicado al problema de resumen extractivo multi-documento.
Proces. del Leng. Natural, 2020
Experimental analysis of multiple criteria for extractive multi-document text summarization.
Expert Syst. Appl., 2020
A decomposition-based multi-objective optimization approach for extractive multi-document text summarization.
Appl. Soft Comput., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization.
Knowl. Based Syst., 2019
Parallelizing a multi-objective optimization approach for extractive multi-document text summarization.
J. Parallel Distributed Comput., 2019
Identifying key players in large social networks by using a multi-objective artificial bee colony optimization approach.
Appl. Soft Comput., 2019
2018
Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach.
Knowl. Based Syst., 2018
Automatic selection of a single solution from the Pareto front to identify key players in social networks.
Knowl. Based Syst., 2018
A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.
Comput. Methods Programs Biomed., 2018
A New Asymmetric Link-Based Binary Regression Model to Detect Parkinson's Disease by Using Replicated Voice Recordings.
Proceedings of the 26th European Signal Processing Conference, 2018
Computational Diagnosis of Parkinson's Disease from Speech Based on Regularization Methods.
Proceedings of the 26th European Signal Processing Conference, 2018
Word Clouds as a Learning Analytic Tool for the Cooperative e-Learning Platform NeuroK.
Proceedings of the 10th International Conference on Computer Supported Education, 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
2017
Addressing voice recording replications for tracking Parkinson's disease progression.
Medical Biol. Eng. Comput., 2017
A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications.
Comput. Methods Programs Biomed., 2017
NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience.
Proceedings of the CSEDU 2017, 2017
2016
Reliab. Eng. Syst. Saf., 2016
Expert Syst. Appl., 2016
2015
Bayesian analysis of some models that use the asymmetric exponential power distribution.
Stat. Comput., 2015
A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes.
Reliab. Eng. Syst. Saf., 2015
A condition-based maintenance for a system subject to multiple degradation processes and external shocks.
Int. J. Syst. Sci., 2015
2014
Reliab. Eng. Syst. Saf., 2014
Comput. Stat. Data Anal., 2014
A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Comput. Methods Programs Biomed., 2013
2012
Bayesian Supervised Image Classification based on a Pairwise Comparison Method.
Proceedings of the ICPRAM 2012, 2012
2010
Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions.
Eur. J. Oper. Res., 2010
A note on the prior parameter choice in finite mixture models of distributions from exponential families.
Comput. Stat., 2010
Comput. Stat. Data Anal., 2010
2009
Reliab. Eng. Syst. Saf., 2009
Int. J. Approx. Reason., 2009
Comput. Stat. Data Anal., 2009
Comput. Stat. Data Anal., 2009
2008
Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes.
Stat. Comput., 2008
2007
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions.
Comput. Stat. Data Anal., 2007
2006
Reliab. Eng. Syst. Saf., 2006
Bayesian analysis of finite mixture models of distributions from exponential families.
Comput. Stat., 2006