MCMC-based local parametric sensitivity estimations. - C. J. Pérez 001; Jacinto Martín; María Jesús Rufo (Comput. Stat. Data Anal., 2006)

Bayesian analysis of finite mixture models of distributions from exponential families. - María Jesús Rufo; Jacinto Martín; Carlos J. Pérez 001 (Comput. Stat., 2006)

Sensitivity estimations for Bayesian inference models solved by MCMC methods. - C. J. Pérez 001; Jacinto Martín; María Jesús Rufo (Reliab. Eng. Syst. Saf., 2006)

Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions. - María Jesús Rufo; C. J. Pérez 001; Jacinto Martín (Comput. Stat. Data Anal., 2007)

Efficient generation of random vectors by using the ratio-of-uniforms method with ellipsoidal envelopes. - C. J. Pérez 001; Jacinto Martín; C. Rojano; Francisco Javier Girón (Stat. Comput., 2008)

Bayesian analysis of a generalized lognormal distribution. - Jacinto Martín; C. J. Pérez 001 (Comput. Stat. Data Anal., 2009)

Inference on exponential families with mixture of prior distributions. - María Jesús Rufo; Jacinto Martín; C. J. Pérez 001 (Comput. Stat. Data Anal., 2009)

Bayesian robustness for decision making problems: Applications in medical contexts. - Jacinto Martín; C. J. Pérez 001; Peter Müller 003 (Int. J. Approx. Reason., 2009)

Local parametric sensitivity for mixture models of lifetime distributions. - María Jesús Rufo; C. J. Pérez 001; Jacinto Martín (Reliab. Eng. Syst. Saf., 2009)

New approaches to compute Bayes factor in finite mixture models. - María Jesús Rufo; Jacinto Martín; C. J. Pérez 001 (Comput. Stat. Data Anal., 2010)

A note on the prior parameter choice in finite mixture models of distributions from exponential families. - María Jesús Rufo; Jacinto Martín; C. J. Pérez 001 (Comput. Stat., 2010)

Merging experts' opinions: A Bayesian hierarchical model with mixture of prior distributions. - María Jesús Rufo; C. J. Pérez 001; Jacinto Martín (Eur. J. Oper. Res., 2010)

Bayesian Supervised Image Classification based on a Pairwise Comparison Method. - Fernando Calle-Alonso; J. P. Arias-Nicolás; C. J. Pérez 001; Jacinto Martín (ICPRAM (1), 2012)

Computer-aided diagnosis system: A Bayesian hybrid classification method. - Fernando Calle-Alonso; C. J. Pérez 001; J. P. Arias-Nicolás; Jacinto Martín (Comput. Methods Programs Biomed., 2013)

A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease. - Carlos J. Pérez 001; Lizbeth Naranjo; Jacinto Martín; Yolanda Campos-Roca (EUSIPCO, 2014)

Bayesian binary regression with exponential power link. - Lizbeth Naranjo; Jacinto Martín; Carlos J. Pérez 001 (Comput. Stat. Data Anal., 2014)

Adversarial life testing: A Bayesian negotiation model. - María Jesús Rufo; Jacinto Martín; C. J. Pérez 001 (Reliab. Eng. Syst. Saf., 2014)

A condition-based maintenance for a system subject to multiple degradation processes and external shocks. - I. T. Castro; Nuria C. Caballé; C. J. Pérez 001 (Int. J. Syst. Sci., 2015)

A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes. - Nuria C. Caballé; I. T. Castro; C. J. Pérez 001; José Manuel Lanza-Gutiérrez (Reliab. Eng. Syst. Saf., 2015)

Bayesian analysis of some models that use the asymmetric exponential power distribution. - Lizbeth Naranjo; Carlos J. Pérez 001; Jacinto Martín (Stat. Comput., 2015)

Addressing voice recording replications for Parkinson's disease detection. - Lizbeth Naranjo; Carlos J. Pérez 001; Yolanda Campos-Roca; Jacinto Martín (Expert Syst. Appl., 2016)

A Bayesian negotiation model for quality and price in a multi-consumer context. - María Jesús Rufo; Jacinto Martín; C. J. Pérez 001 (Reliab. Eng. Syst. Saf., 2016)

NeuroK: A Collaborative e-Learning Platform based on Pedagogical Principles from Neuroscience. - Fernando Calle-Alonso; Agustín Cuenca-Guevara; Daniel de la Mata Lara; Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez Sánchez 001 (CSEDU (1), 2017)

A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications. - Lizbeth Naranjo; Carlos J. Pérez 001; Jacinto Martín; Yolanda Campos-Roca (Comput. Methods Programs Biomed., 2017)

Addressing voice recording replications for tracking Parkinson's disease progression. - Lizbeth Naranjo; Carlos J. Pérez 001; Jacinto Martín (Medical Biol. Eng. Comput., 2017)

Graphs and Key Players in an Educational Social Network. - Fernando Calle-Alonso; Vicente Botón-Fernández; Dimas de la Fuente; Carlos J. Pérez Sánchez 001; Miguel A. Vega-Rodríguez; Daniel de la Mata Lara (CSEDU (2), 2018)

Word Clouds as a Learning Analytic Tool for the Cooperative e-Learning Platform NeuroK. - Fernando Calle-Alonso; Vicente Botón-Fernández; Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez Sánchez 001; Daniel de la Mata Lara (CSEDU (2), 2018)

Computational Diagnosis of Parkinson's Disease from Speech Based on Regularization Methods. - Yolanda Campos-Roca; Fernando Calle-Alonso; Carlos J. Pérez 001; Lizbeth Naranjo (EUSIPCO, 2018)

A New Asymmetric Link-Based Binary Regression Model to Detect Parkinson's Disease by Using Replicated Voice Recordings. - Lizbeth Naranjo; Carlos J. Pérez 001; Jacinto Martín; Fernando Calle-Alonso (EUSIPCO, 2018)

A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease. - David Montaña; Yolanda Campos-Roca; Carlos J. Pérez 001 (Comput. Methods Programs Biomed., 2018)

Automatic selection of a single solution from the Pareto front to identify key players in social networks. - Dimas de la Fuente; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Knowl. Based Syst., 2018)

Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Knowl. Based Syst., 2018)

Identifying key players in large social networks by using a multi-objective artificial bee colony optimization approach. - Dimas de la Fuente; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Appl. Soft Comput., 2019)

Parallelizing a multi-objective optimization approach for extractive multi-document text summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (J. Parallel Distributed Comput., 2019)

Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Knowl. Based Syst., 2019)

Robustness Assessment of Automatic Reinke's Edema Diagnosis Systems. - Mario Madruga; Yolanda Campos-Roca; Carlos J. Pérez 001 (ICASSP, 2020)

A decomposition-based multi-objective optimization approach for extractive multi-document text summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Appl. Soft Comput., 2020)

Experimental analysis of multiple criteria for extractive multi-document text summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Expert Syst. Appl., 2020)

Un estudio de los métodos de reducción del frente de Pareto a una única solución aplicado al problema de resumen extractivo multi-documento. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Proces. del Leng. Natural, 2020)

Multicondition Training for Noise-Robust Detection of Benign Vocal Fold Lesions From Recorded Speech. - Mario Madruga; Yolanda Campos-Roca; C. J. Pérez 001 (IEEE Access, 2021)

Replication-based regularization approaches to diagnose Reinke's edema by using voice recordings. - Lizbeth Naranjo; Carlos J. Pérez 001; Yolanda Campos-Roca; Mario Madruga (Artif. Intell. Medicine, 2021)

Sentiment-oriented query-focused text summarization addressed with a multi-objective optimization approach. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Appl. Soft Comput., 2021)

Monitoring Parkinson's disease progression based on recorded speech with missing ordinal responses and replicated covariates. - Lizbeth Naranjo; Carlos J. Pérez 001; Yolanda Campos-Roca (Comput. Biol. Medicine, 2021)

The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Expert Syst. Appl., 2021)

Addressing topic modeling with a multi-objective optimization approach based on swarm intelligence. - Carlos González-Santos; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Knowl. Based Syst., 2021)

Reinke's edema diagnosis support system based on voice recordings and machine learning. - M. Carmen Robustillo; María Isabel Parra; Yolanda Campos-Roca; Carlos J. Pérez Sánchez 001 (ICCAD, 2022)

Learning analytics to predict students' performance: A case study of a neurodidactics-based collaborative learning platform. - Carlos J. Pérez Sánchez 001; Fernando Calle-Alonso; Miguel A. Vega-Rodríguez (Educ. Inf. Technol., 2022)

A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Expert Syst. Appl., 2022)

Addressing smartphone mismatch in Parkinson's disease detection aid systems based on speech. - Mario Madruga; Yolanda Campos-Roca; Carlos J. Pérez 001 (Biomed. Signal Process. Control., 2023)

Automatic assignment of moral foundations to movies by word embedding. - Carlos González-Santos; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001; Joaquín M. López-Muñoz; Iñaki Martínez-Sarriegui (Knowl. Based Syst., 2023)

A new multi-objective evolutionary algorithm for citation-based summarization: Comprehensive analysis of the generated summaries. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Eng. Appl. Artif. Intell., 2023)

A multi-objective artificial bee colony approach for profit-aware recommender systems. - José A. Concha-Carrasco; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Inf. Sci., 2023)

Automatic Update Summarization by a Multiobjective Number-One-Selection Genetic Approach. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (IEEE Trans. Cybern., 2023)

Convolutional neural networks to detect Parkinson's disease based on voice recordings and transfer learning. - Daniel Francisco Merino Delgado; María Jesús Rufo Bazaga; Alfonso Mateos Caballero; Carlos Javier Pérez Sánchez (EAIS, 2024)

Addressing multidimensional highly correlated data for forecasting in precision beekeeping. - M. Carmen Robustillo; Lizbeth Naranjo; María Isabel Parra; Carlos J. Pérez 001 (Comput. Electron. Agric., 2024)

An indicator-based multi-objective variable neighborhood search approach for query-focused summarization. - Jesús M. Sánchez-Gómez; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001 (Swarm Evol. Comput., 2024)

Automatic assignment of microgenres to movies using a word embedding-based approach. - Carlos González-Santos; Miguel A. Vega-Rodríguez; Joaquín M. López-Muñoz; Iñaki Martínez-Sarriegui; Carlos J. Pérez 001 (Multim. Tools Appl., 2024)

Enhancing noise robustness of automatic Parkinson's disease detection in diadochokinesis tests using multicondition training. - Mario Madruga; Yolanda Campos-Roca; Carlos J. Pérez Sánchez 001 (Expert Syst. Appl., 2025)

Time Series Classification of Raw Voice Waveforms for Parkinson's Disease Detection Using Generative Adversarial Network-Driven Data Augmentation. - Marta Rey-Paredes; Carlos J. Pérez 001; Alfonso Mateos Caballero (IEEE Open J. Comput. Soc., 2025)

A keyword extraction model study in the movie domain with synopsis and reviews. - Carlos González-Santos; Miguel A. Vega-Rodríguez; Carlos J. Pérez 001; Iñaki Martínez-Sarriegui; Joaquín M. López-Muñoz (Knowl. Inf. Syst., 2025)