Sebastián Ventura

286 papers A 6B 37C 22Misc 7Journal 175Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Fidelity Genetic Algorithm for Hyperparameter Optimization of Deep Neural Networks. IEEE Trans. Evol. Comput. Antonio R. Moya, Sebastián Ventura
2026	J	`jnl`	Exploring free radiomics software tools: a multiparametric evaluation for cancer classification. BMC Medical Imaging Eduardo Almeda Luna, José María Luna, Sebastián Ventura
2026	J	`jnl`	MIHT: A Hoeffding Tree for Time Series Classification using Multiple Instance Learning. CoRR Aurora Esteban, Amelia Zafra, Sebastián Ventura
2026	J	`jnl`	Optimizing course assignment in higher education using natural language processing and semantic similarity. PeerJ Comput. Sci. Gabriel Cotera-Ramírez, Jaime Meza, Sebastián Ventura
2025	B	`conf`	Deep Learning Approaches to Assessing University Students' Health-Related Quality of Life: A Comparative Study of MLP and GNN. CBMS José Luis Ávila-Jiménez, Manuel Rich-Ruiz, Francisco J. Rodríguez-Lozano, Vanesa Cantón-Habas, Sebastián Ventura
2025	J	`jnl`	Deep learning for multivariate time series anomaly detection: an evaluation of reconstruction-based methods. Artif. Intell. Rev. Mohammed A. Yahya, Antonio R. Moya, Sebastián Ventura
2025	B	`conf`	Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning. DSAA Mabrouka Salmi, Dalia Atif, Sebastián Ventura
2025	J	`jnl`	Enhancing text classification with BERT-based graph representations using novel contextual metrics. Prog. Artif. Intell. Ibtissam Youb, Sebastián Ventura, Mohamed Hamlich, Feras Al-Obeidat
2025	J	`jnl`	Fuzzy Logic Recommender Model for Housing. IEEE Access Emanuel G. Muñoz, Jaime Meza, Sebastián Ventura
2025	—	`conf`	MIHT: A Hoeffding Tree for Time Series Classification Using Multiple Instance Learning. IDEAL (1) Aurora Esteban, Amelia Zafra, Sebastián Ventura
2025	J	`jnl`	Mining autonomous student patterns score on LMS within online higher education. PeerJ Comput. Sci. Ricardo Ordoñez-Avila, Jaime Meza, Sebastián Ventura
2025	—	`conf`	Modeling Student-Subject Interactions with GNNs for Grade Prediction. IWANN (1) Ghaidaa Ahmed Ali, José Luis Ávila-Jiménez, Mohammed Ibrahim Al-Twijri, Sebastián Ventura
2025	J	`jnl`	Simultaneous fault prediction in evolving industrial environments with ensembles of Hoeffding adaptive trees. Appl. Intell. Aurora Esteban, Alberto Cano, Sebastián Ventura, Amelia Zafra
2025	J	`jnl`	Weak Supervision: A Survey on Predictive Maintenance. WIREs Data. Mining. Knowl. Discov. Antonio-Manuel Martínez-Heredia, Sebastián Ventura
2024	J	`jnl`	A deep learning model for Alzheimer's disease diagnosis based on patient clinical records. Comput. Biol. Medicine José Luis Ávila-Jiménez, Vanesa Cantón-Habas, María del Pilar Carrera-González, Manuel Rich-Ruiz, Sebastián Ventura
2024	J	`jnl`	A survey of genetic algorithms for clustering: Taxonomy and empirical analysis. Swarm Evol. Comput. Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
2024	—	`conf`	Comprehensive Study on Sentiment Analysis: Insights Into Data Preprocessing, Feature Extraction, and Deep Learning Model Selection. SADASC (1) Ibtissam Youb, Sebastián Ventura
2024	J	`jnl`	Data heterogeneity's impact on the performance of frequent itemset mining algorithms. Inf. Sci. Antonio Manuel Trasierras, José María Luna, Philippe Fournier-Viger, Sebastián Ventura
2024	J	`jnl`	Educational data mining and learning analytics: An updated survey. CoRR Cristóbal Romero, Sebastián Ventura
2024	J	`jnl`	Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder. IEEE Access Hareth Zmezm, José María Luna, Eduardo Almeda Luna, Sebastián Ventura
2024	J	`jnl`	Handling imbalanced medical datasets: review of a decade of research. Artif. Intell. Rev. Mabrouka Salmi, Dalia Atif, Diego Oliva, Ajith Abraham, Sebastián Ventura
2024	J	`jnl`	Hoeffding adaptive trees for multi-label classification on data streams. CoRR Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024	J	`jnl`	Hoeffding adaptive trees for multi-label classification on data streams. Knowl. Based Syst. Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura
2024	J	`jnl`	Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. Data Min. Knowl. Discov. Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
2024	J	`jnl`	Interactive Multi-Objective Evolutionary Optimization of Software Architectures. CoRR Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2024	J	`jnl`	Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence. Eng. Appl. Artif. Intell. Yu-Lin He, Philippe Fournier-Viger, Sebastián Ventura, Ling Zhang
2024	J	`jnl`	JCLEC-MO: a Java suite for solving many-objective optimization engineering problems. CoRR Aurora Ramírez, José Raúl Romero, Carlos García-Martínez, Sebastián Ventura
2024	J	`jnl`	Modeling and predicting students' engagement behaviors using mixture Markov models. CoRR Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura
2024	J	`jnl`	StaTDS library: Statistical tests for Data Science. Neurocomputing Christian Luna, Antonio R. Moya, José María Luna, Sebastián Ventura
2024	J	`jnl`	Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners. CoRR José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
2023	J	`jnl`	A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. Algorithms Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura
2023	—	`conf`	A Comparison of Neural Network-Based Super-Resolution Models on 3D Rendered Images. CAIP (1) Rafael Berral-Soler, Francisco José Madrid-Cuevas, Sebastián Ventura, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
2023	Misc	`conf`	A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering. HAIS Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
2023	J	`jnl`	A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
2023	J	`jnl`	A framework to build accurate Convolutional Neural Network models for melanoma diagnosis. Knowl. Based Syst. Eduardo Pérez, Sebastián Ventura
2023	J	`jnl`	Efficient mining of top- Inf. Sci. José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura
2023	J	`jnl`	Eight years of AutoML: categorisation, review and trends. Knowl. Inf. Syst. Rafael Barbudo, Sebastián Ventura, José Raúl Romero
2023	J	`jnl`	Improving Spiking Neural Network Performance with Auxiliary Learning. Mach. Learn. Knowl. Extr. Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
2023	J	`jnl`	Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis. Artif. Intell. Medicine Eduardo Pérez, Sebastián Ventura
2023	B	`conf`	Radiomics Software Tools: A comparative Analysis on Breast Cancer. CBMS Eduardo Almeda Luna, José María Luna, Sebastián Ventura
2023	—	`conf`	Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education. LASI Spain Jose Manuel Porras, Antonio Porras, José Alberto Fernández, Cristóbal Romero, Sebastián Ventura
2022	J	`jnl`	An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis. Neural Comput. Appl. Eduardo Pérez, Sebastián Ventura
2022	J	`jnl`	Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. Inf. Fusion Jose M. Moyano, Sebastián Ventura
2022	J	`jnl`	Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura
2022	J	`jnl`	Data mining in predictive maintenance systems: A taxonomy and systematic review. WIREs Data Mining Knowl. Discov. Aurora Esteban, Amelia Zafra, Sebastián Ventura
2022	J	`jnl`	Design of peer assessment rubrics for ICT topics. J. Comput. High. Educ. Lorena Bowen-Mendoza, Maricela Pinargote-Ortega, Jaime Meza, Sebastián Ventura
2022	—	`conf`	Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology. COINS Marco Antonio Barron, José María Luna, Sebastián Ventura
2022	J	`jnl`	Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming. IEEE Access Marco Antonio Barron, José María Luna, Sebastián Ventura
2022	—	`conf`	Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS Jose M. Moyano, José María Luna, Sebastián Ventura
2022	J	`jnl`	Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach. Int. J. Intell. Syst. Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
2022	J	`jnl`	MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. CoRR Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
2022	J	`jnl`	Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura
2022	—	`conf`	Multi-view Deep Neural Networks for multiclass skin lesion diagnosis. COINS Eduardo Pérez, Sebastián Ventura
2022	J	`jnl`	Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access Jose M. Moyano, José María Luna, Sebastián Ventura
2022	—	`conf`	Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. ICECS 2022 Paolo Gabriel Cachi, Soumil Jain, Sebastián Ventura, Gert Cauwenberghs, Krzysztof J. Cios
2022	—	`ed.`	Smart Applications and Data Analysis - 4th International Conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, Proceedings SADASC Mohamed Hamlich, Ladjel Bellatreche, Ali Siadat, Sebastián Ventura
2022	B	`conf`	Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package. CEC José A. Delgado-Osuna, Carlos García-Martínez, Sebastián Ventura
2022	J	`jnl`	Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
2021	J	`jnl`	A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming. Expert Syst. Appl. Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
2021	J	`jnl`	A semantically enriched text mining system for clinical decision support. Comput. Intell. Carmen Luque, José Miguel Madueño Luna, Sebastián Ventura
2021	J	`jnl`	CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. Frontiers Comput. Neurosci. Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
2021	J	`jnl`	Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study. Medical Image Anal. Eduardo Pérez, Oscar Gabriel Reyes Pupo, Sebastián Ventura
2021	J	`jnl`	EDITORIAL. Comput. Intell. Sebastián Ventura, Paolo Soda, Alejandro Rodríguez González
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	J	`jnl`	Mining local periodic patterns in a discrete sequence. Inf. Sci. Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna
2021	J	`jnl`	Peer assessment using soft computing techniques. J. Comput. High. Educ. Maricela Pinargote-Ortega, Lorena Bowen-Mendoza, Jaime Meza, Sebastián Ventura
2021	J	`jnl`	Performing multi-target regression via gene expression programming-based ensemble models. Neurocomputing Jose M. Moyano, Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
2020	B	`conf`	A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. CEC Aurora Esteban, Amelia Zafra, Sebastián Ventura
2020	J	`jnl`	A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis. Artif. Intell. Medicine Oscar Gabriel Reyes Pupo, Eduardo Pérez, Raúl M. Luque, Justo Castaño, Sebastián Ventura
2020	J	`jnl`	Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowl. Based Syst. Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura
2020	J	`jnl`	Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information. IEEE Trans. Neural Networks Learn. Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2020	J	`jnl`	Distributed multi-label feature selection using individual mutual information measures. Knowl. Based Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2020	J	`jnl`	Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2020	J	`jnl`	Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios. IEEE Access José María Luna, Mykola Pechenizkiy, Wouter Duivesteijn, Sebastián Ventura
2020	J	`jnl`	Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access José María Luna, Philippe Fournier-Viger, Sebastián Ventura
2020	—	`conf`	Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. IPMU (3) Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof Jozef Cios
2020	A	`conf`	Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura
2020	J	`jnl`	Heuristics for interesting class association rule mining a colorectal cancer database. Inf. Process. Manag. José A. Delgado-Osuna, Carlos García-Martínez, Jose Gómez Barbadillo, Sebastián Ventura
2020	J	`jnl`	LAC: Library for associative classification. Knowl. Based Syst. Francisco Padillo, José María Luna, Sebastián Ventura
2020	C	`conf`	Mining Cross-Level High Utility Itemsets. IEA/AIE Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura
2020	J	`jnl`	Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt. Int. J. Comput. Intell. Syst. Carlos García-Martínez, Sebastián Ventura
2020	J	`jnl`	Predicting literature's early impact with sentiment analysis in Twitter. Knowl. Based Syst. Saeed-Ul Hassan, Naif R. Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera
2020	B	`conf`	Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. CEC Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
2020	J	`jnl`	Tweet Coupling: a social media methodology for clustering scientific publications. Scientometrics Saeed-Ul Hassan, Naif R. Aljohani, Mudassir Shabbir, Umair Ali, Sehrish Iqbal, Raheem Sarwar, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera
2019	J	`jnl`	A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data. Cogn. Comput. Francisco Padillo, José María Luna, Sebastián Ventura
2019	B	`conf`	A Supervised Methodology for Analyzing Dysregulation in Splicing Machinery: An Application in Cancer Diagnosis. CBMS Oscar Gabriel Reyes Pupo, Raúl M. Luque, Justo Castaño, Sebastián Ventura
2019	J	`jnl`	A survey of many-objective optimisation in search-based software engineering. J. Syst. Softw. Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2019	—	`conf`	ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark. ICCS (3) Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2019	J	`jnl`	An advanced review on text mining in medicine. WIREs Data Mining Knowl. Discov. Carmen Luque, José María Luna, Maria Luque, Sebastián Ventura
2019	J	`jnl`	An evolutionary approach to build ensembles of multi-label classifiers. Inf. Fusion Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
2019	C	`conf`	Associative Classification in Big Data through a G3P Approach. IoTBDS José María Luna, Francisco Padillo, Sebastián Ventura
2019	C	`conf`	Discovering Students' Engagement Behaviors in Confidence-based Assessment. EDUCON Rabia Maqsood, Paolo Ceravolo, Sebastián Ventura
2019	J	`jnl`	Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. José María Luna, Philippe Fournier-Viger, Sebastián Ventura
2019	J	`jnl`	Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. Cristóbal Romero, Sebastián Ventura
2019	J	`jnl`	JCLEC-MO: A Java suite for solving many-objective optimization engineering problems. Eng. Appl. Artif. Intell. Aurora Ramírez, José Raúl Romero, Carlos García-Martínez, Sebastián Ventura
2019	J	`jnl`	LEAC: An efficient library for clustering with evolutionary algorithms. Knowl. Based Syst. Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura
2019	B	`conf`	MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge. CBMS Carmen Luque, José María Luna, Sebastián Ventura
2019	B	`conf`	Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database. CBMS José Antonio Delgado-Osuna, Carlos García-Martínez, Sebastián Ventura, Jose Gómez Barbadillo
2019	J	`jnl`	Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. Int. J. Neural Syst. Oscar Gabriel Reyes Pupo, Sebastián Ventura
2019	C	`conf`	Speeding Up Classifier Chains in Multi-label Classification. IoTBDS Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
2019	J	`jnl`	Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
2019	J	`jnl`	Virtual learning environment to predict withdrawal by leveraging deep learning. Int. J. Intell. Syst. Saeed-Ul Hassan, Hajra Waheed, Naif R. Aljohani, Mohsen Ali, Sebastián Ventura, Francisco Herrera
2019	J	`jnl`	WordificationMI: multi-relational data mining through multiple-instance propositionalization. Prog. Artif. Intell. Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
2018	J	`jnl`	A gene expression programming algorithm for discovering classification rules in the multi-objective space. Int. J. Comput. Intell. Syst. Alain Guerrero-Enamorado, Carlos Morell, Sebastián Ventura
2018	—	`conf`	A gene expression programming method for multi-target regression. LOPAL Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura
2018	J	`jnl`	A locally weighted learning method based on a data gravitation model for multi-target regression. Int. J. Comput. Intell. Syst. Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
2018	J	`jnl`	An ensemble-based method for the selection of instances in the multi-target regression problem. Integr. Comput. Aided Eng. Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
2018	J	`jnl`	Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data. IEEE Trans. Cybern. José María Luna, Francisco Padillo, Mykola Pechenizkiy, Sebastián Ventura
2018	J	`jnl`	Distributed nearest neighbor classification for large-scale multi-label data on spark. Future Gener. Comput. Syst. Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
2018	J	`jnl`	Effective active learning strategy for multi-label learning. Neurocomputing Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
2018	J	`jnl`	Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data. ACM Trans. Intell. Syst. Technol. Oscar Gabriel Reyes Pupo, Sebastián Ventura
2018	J	`jnl`	Interactive multi-objective evolutionary optimization of software architectures. Inf. Sci. Aurora Ramírez Quesada, José Raúl Romero, Sebastián Ventura
2018	J	`jnl`	MIRSVM: Multi-instance support vector machine with bag representatives. Pattern Recognit. Gabriella Melki, Alberto Cano, Sebastián Ventura
2018	J	`jnl`	Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura
2018	J	`jnl`	Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. Francisco Padillo, José María Luna, Francisco Herrera, Sebastián Ventura
2018	J	`jnl`	OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano
2018	J	`jnl`	Optimization of quality measures in association rule mining: an empirical study. Int. J. Comput. Intell. Syst. José María Luna, M. Ondra, Habib M. Fardoun, Sebastián Ventura
2018	J	`jnl`	Parallelization strategies for markerless human motion capture. J. Real Time Image Process. Alberto Cano Rojas, Enrique Yeguas-Bolívar, Rafael Muñoz-Salinas, Rafael Medina Carnicer, Sebastián Ventura
2018	J	`jnl`	Review of ensembles of multi-label classifiers: Models, experimental study and prospects. Inf. Fusion Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
2018	J	`jnl`	Statistical comparisons of active learning strategies over multiple datasets. Knowl. Based Syst. Oscar Gabriel Reyes Pupo, Abdulrahman H. Altalhi, Sebastián Ventura
2018	—	`book`	Supervised Descriptive Pattern Mining Sebastián Ventura, José María Luna
2017	B	`conf`	An evolutionary algorithm for mining rare association rules: A Big Data approach. CEC Francisco Padillo, José María Luna, Sebastián Ventura
2017	B	`conf`	An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. CEC Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2017	J	`jnl`	Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2017	J	`jnl`	Evaluation and comparison of open source software suites for data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. Abdulrahman H. Altalhi, José María Luna, M. A. Vallejo, Sebastián Ventura
2017	J	`jnl`	Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark. Prog. Artif. Intell. Francisco Padillo, José María Luna, Sebastián Ventura
2017	J	`jnl`	Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm. Inf. Sci. Alberto Cano, Carlos García-Martínez, Sebastián Ventura
2017	—	`conf`	Large-Scale Multi-label Ensemble Learning on Spark. TrustCom/BigDataSE/ICESS Jorge Gonzalez-Lopez, Alberto Cano, Sebastián Ventura
2017	J	`jnl`	MLDA: A tool for analyzing multi-label datasets. Knowl. Based Syst. Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2017	J	`jnl`	Multi-objective genetic programming for feature extraction and data visualization. Soft Comput. Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
2017	J	`jnl`	Multi-target support vector regression via correlation regressor chains. Inf. Sci. Gabriella Melki, Alberto Cano, Vojislav Kecman, Sebastián Ventura
2017	B	`conf`	Multi-view semi-supervised learning using genetic programming interpretable classification rules. CEC Carlos García-Martínez, Sebastián Ventura
2017	B	`conf`	On the effect of local search in the multi-objective evolutionary discovery of software architectures. CEC Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2017	—	`ed.`	Proceedings of the Second International Workshop on Educational Knowledge Management co-located with 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Bologna, Italy, November 19-23, 2016. EKM@EKAW Inaya Lahoud, Nada Matta, Fouad Zablith, Sebastián Ventura
2016	Misc	`conf`	A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura
2016	J	`jnl`	A comparative study of many-objective evolutionary algorithms for the discovery of software architectures. Empir. Softw. Eng. Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2016	J	`jnl`	An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming. Int. J. Comput. Intell. Syst. Alain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura
2016	J	`jnl`	An ensemble-based approach for multi-view multi-label classification. Prog. Artif. Intell. Eva Gibaja, Jose M. Moyano, Sebastián Ventura
2016	J	`jnl`	Discovering useful patterns from multiple instance data. Inf. Sci. José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura
2016	J	`jnl`	Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura
2016	J	`jnl`	Effective lazy learning algorithm based on a data gravitation model for multi-label learning. Inf. Sci. Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
2016	J	`jnl`	JCLAL: A Java Framework for Active Learning. J. Mach. Learn. Res. Oscar Gabriel Reyes Pupo, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura
2016	J	`jnl`	LAIM discretization for multi-label data. Inf. Sci. Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2016	C	`conf`	Memetic Algorithms for the Automatic Discovery of Software Architectures. ISDA Aurora Ramírez, Rafael Barbudo, José Raúl Romero, Sebastián Ventura
2016	C	`conf`	Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce. ISDA Francisco Padillo, José María Luna, Sebastián Ventura
2016	J	`jnl`	Mining exceptional relationships with grammar-guided genetic programming. Knowl. Inf. Syst. José María Luna, Mykola Pechenizkiy, Sebastián Ventura
2016	—	`book`	Multiple Instance Learning - Foundations and Algorithms Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans
2016	—	`book`	Pattern Mining with Evolutionary Algorithms Sebastián Ventura, José María Luna
2016	J	`jnl`	Recommending degree studies according to students' attitudes in high school by means of subgroup discovery. Int. J. Comput. Intell. Syst. Amin Y. Noaman, José María Luna, Abdul Hamid M. Ragab, Sebastián Ventura
2016	J	`jnl`	Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura
2016	—	`conf`	Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce. Trustcom/BigDataSE/ISPA Francisco Padillo, José María Luna, Sebastián Ventura
2016	—	`conf`	Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms. IEEE BigData Francisco Padillo, José María Luna, Sebastián Ventura
2016	J	`jnl`	ur-CAIM: improved CAIM discretization for unbalanced and balanced data. Soft Comput. Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios
2015	J	`jnl`	A Tutorial on Multilabel Learning. ACM Comput. Surv. Eva Gibaja, Sebastián Ventura
2015	J	`jnl`	A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura
2015	—	`conf`	An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms. GECCO (Companion) Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2015	J	`jnl`	An approach for the evolutionary discovery of software architectures. Inf. Sci. Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2015	J	`jnl`	An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. José María Luna, Cristóbal Romero, José Raúl Romero, Sebastián Ventura
2015	A	`conf`	Discovering clues to avoid middle school failure at early stages. LAK Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura
2015	—	`ch.`	Genetic Programming for Mining Association Rules in Relational Database Environments. Handbook of Genetic Programming Applications José María Luna, Alberto Cano, Sebastián Ventura
2015	J	`jnl`	Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Comput. Intell. Syst. Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura
2015	J	`jnl`	J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. Technol. Knowl. Learn. Cristóbal Romero, Sebastián Ventura
2015	B	`ed.`	Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 EDM Olga C. Santos, Jesus Boticario, Cristóbal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Marian Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastián Ventura, Michel C. Desmarais
2015	J	`jnl`	Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context. Neurocomputing Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
2015	J	`jnl`	Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. Alberto Cano, Amelia Zafra, Sebastián Ventura
2015	Misc	`conf`	Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE. EPIA David Pinheiro, Alberto Cano, Sebastián Ventura
2014	B	`conf`	Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. EDM Javier Fuentes, Cristóbal Romero, Carlos García-Martínez, Sebastián Ventura
2014	Misc	`conf`	Classification Rule Mining with Iterated Greedy. HAIS Juan A. Pedraza, Carlos García-Martínez, Alberto Cano, Sebastián Ventura
2014	J	`jnl`	Evolutionary feature weighting to improve the performance of multi-label lazy algorithms. Integr. Comput. Aided Eng. Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
2014	J	`jnl`	Foreword: Intelligent data analysis. J. Comput. Syst. Sci. Sebastián Ventura, Cristóbal Romero, Ajith Abraham
2014	A	`conf`	GPU-parallel subtree interpreter for genetic programming. GECCO Alberto Cano, Sebastián Ventura
2014	J	`jnl`	Multi-label learning: a review of the state of the art and ongoing research. WIREs Data Mining Knowl. Discov. Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2014	J	`jnl`	On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2014	J	`jnl`	On the adaptability of G3PARM to the extraction of rare association rules. Knowl. Inf. Syst. José María Luna, José Raúl Romero, Sebastián Ventura
2014	A	`conf`	On the performance of multiple objective evolutionary algorithms for software architecture discovery. GECCO Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2014	J	`jnl`	Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing Alberto Cano, Amelia Zafra, Sebastián Ventura
2014	J	`jnl`	Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2014	J	`jnl`	Scalable CAIM discretization on multiple GPUs using concurrent kernels. J. Supercomput. Alberto Cano, Sebastián Ventura, Krzysztof J. Cios
2014	J	`jnl`	Single and multi-objective ant programming for mining interesting rare association rules. Int. J. Hybrid Intell. Syst. Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2014	J	`jnl`	Special issue: Advances in learning schemes for function approximation. Neurocomputing Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura
2014	J	`jnl`	Swarm-based metaheuristics in automatic programming: a survey. WIREs Data Mining Knowl. Discov. Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2013	B	`conf`	A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2013	B	`conf`	A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. EDM Cristóbal Romero, Cristobal Castro, Sebastián Ventura
2013	B	`conf`	A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. EDM Cristóbal Romero, Juan Luis Olmo, Sebastián Ventura
2013	—	`conf`	A novel component identification approach using evolutionary programming. GECCO (Companion) Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2013	J	`jnl`	An interpretable classification rule mining algorithm. Inf. Sci. Alberto Cano, Amelia Zafra, Sebastián Ventura
2013	J	`jnl`	Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura
2013	J	`jnl`	DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Data mining in education. WIREs Data Mining Knowl. Discov. Cristóbal Romero, Sebastián Ventura
2013	B	`conf`	Discovering Subgroups by Means of Genetic Programming. EuroGP José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Grammar-based multi-objective algorithms for mining association rules. Data Knowl. Eng. José María Luna, José Raúl Romero, Sebastián Ventura
2013	J	`jnl`	High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. Alberto Cano, José María Luna, Sebastián Ventura
2013	J	`jnl`	HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2013	J	`jnl`	Mining association rules with single and multi-objective grammar guided ant programming. Integr. Comput. Aided Eng. Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
2013	—	`conf`	On the use of ant programming for mining rare association rules. NaBIC Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2013	J	`jnl`	Parallel multi-objective Ant Programming for classification using GPUs. J. Parallel Distributed Comput. Alberto Cano, Juan Luis Olmo, Sebastián Ventura
2013	J	`jnl`	Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura
2013	J	`jnl`	Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura
2013	J	`jnl`	Web usage mining for predicting final marks of students that use Moodle courses. Comput. Appl. Eng. Educ. Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura
2013	J	`jnl`	Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. Alberto Cano, Amelia Zafra, Sebastián Ventura
2012	C	`ed.`	12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, Kochi, India, November 27-29, 2012 ISDA Ajith Abraham, Albert Y. Zomaya, Sebastián Ventura, Ronald R. Yager, Václav Snásel, Azah Kamilah Muda, Philip Samuel
2012	C	`conf`	A genetic programming free-parameter algorithm for mining association rules. ISDA José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
2012	C	`conf`	Binary and multiclass imbalanced classification using multi-objective ant programming. ISDA Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura
2012	J	`jnl`	Classification rule mining using ant programming guided by grammar with multiple Pareto fronts. Soft Comput. Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2012	B	`conf`	Classification via clustering for predicting final marks starting from the student participation in Forums. EDM Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna
2012	J	`jnl`	Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowl. Inf. Syst. José María Luna, José Raúl Romero, Sebastián Ventura
2012	C	`conf`	Learning similarity metric to improve the performance of lazy multi-label ranking algorithms. ISDA Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
2012	B	`conf`	Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna
2012	B	`conf`	Multi-Objective Ant Programming for Mining Classification Rules. EuroGP Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2012	J	`jnl`	Multi-instance genetic programming for predicting student performance in web based educational environments. Appl. Soft Comput. Amelia Zafra, Sebastián Ventura
2012	J	`jnl`	Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Comput. Amelia Zafra, Sebastián Ventura
2012	J	`jnl`	ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2012	J	`jnl`	Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. Alberto Cano, Amelia Zafra, Sebastián Ventura
2012	C	`conf`	VisualJCLEC: A visual framework for evolutionary computation. ISDA Juan Ignacio Jaen, José Raúl Romero, Sebastián Ventura
2011	C	`ed.`	11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011 ISDA Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo
2011	J	`jnl`	A Gene Expression Programming Algorithm for Multi-Label Classification. J. Multiple Valued Log. Soft Comput. José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
2011	B	`conf`	A Java Desktop Tool for Mining Moodle Data. EDM Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura
2011	—	`conf`	A Parallel Genetic Programming Algorithm for Classification. HAIS (1) Alberto Cano, Amelia Zafra, Sebastián Ventura
2011	J	`jnl`	A collaborative educational association rule mining tool. Internet High. Educ. Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2011	C	`conf`	An EP algorithm for learning highly interpretable classifiers. ISDA Alberto Cano, Amelia Zafra, Sebastián Ventura
2011	C	`conf`	Association rule mining using a multi-objective grammar-based ant programming algorithm. ISDA Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
2011	—	`conf`	JCLEC Meets WEKA! HAIS (1) Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura
2011	—	`conf`	Mining and representing rare association rules through the use of genetic programming. NaBIC José María Luna, José Raúl Romero, Sebastián Ventura
2011	J	`jnl`	Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Appl. Soft Comput. Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2011	J	`jnl`	Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2011	B	`conf`	Predicting School Failure Using Data Mining. EDM Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura
2011	J	`jnl`	Preface to the special issue on data mining for personalised educational systems. User Model. User Adapt. Interact. Cristóbal Romero, Sebastián Ventura
2011	B	`ed.`	Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011 EDM Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper
2011	J	`jnl`	RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura
2011	J	`jnl`	Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Trans. Syst. Man Cybern. Part B Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2010	J	`jnl`	A Survey on the Application of Genetic Programming to Classification. IEEE Trans. Syst. Man Cybern. Part C Pedro G. Espejo, Sebastián Ventura, Francisco Herrera
2010	C	`conf`	A TDIDT technique for multi-label classification. ISDA Eva Lucrecia Gibaja Galindo, Manuel Victoriano, José Luis Ávila-Jiménez, Sebastián Ventura
2010	B	`conf`	A grammar based Ant Programming algorithm for mining classification rules. IEEE Congress on Evolutionary Computation Juan Luis Olmo, José Raúl Romero, Sebastián Ventura
2010	—	`conf`	An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. PAAMS (Special Sessions and Workshops) Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura
2010	C	`conf`	An intruder detection approach based on infrequent rating pattern mining. ISDA José María Luna, Aurora Ramírez, José Raúl Romero, Sebastián Ventura
2010	—	`conf`	Analysis of the Effectiveness of G3PARM Algorithm. HAIS (2) José María Luna, José Raúl Romero, Sebastián Ventura
2010	B	`conf`	Class Association Rules Mining from Students' Test Data. EDM Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy
2010	J	`jnl`	Educational Data Mining: A Review of the State of the Art. IEEE Trans. Syst. Man Cybern. Part C Cristóbal Romero, Sebastián Ventura
2010	—	`conf`	Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. HAIS (2) José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2010	C	`conf`	Feature selection is the ReliefF for multiple instance learning. ISDA Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2010	J	`jnl`	G3P-MI: A genetic programming algorithm for multiple instance learning. Inf. Sci. Amelia Zafra, Sebastián Ventura
2010	B	`conf`	G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. IEEE Congress on Evolutionary Computation José María Luna, José Raúl Romero, Sebastián Ventura
2010	A	`conf`	Grammar guided genetic programming for multiple instance learning: an experimental study. GECCO Amelia Zafra, Sebastián Ventura
2010	B	`conf`	Mining Rare Association Rules from e-Learning Data. EDM Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura
2010	—	`conf`	Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura
2010	—	`conf`	Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) Alberto Cano, Amelia Zafra, Sebastián Ventura
2010	—	`conf`	Web Usage Mining for Improving Students Performance in Learning Management Systems. IEA/AIE (3) Amelia Zafra, Sebastián Ventura
2009	Misc	`conf`	A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS Amelia Zafra, Sebastián Ventura
2009	C	`conf`	A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. IDEAL José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura
2009	J	`jnl`	An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Model. User Adapt. Interact. Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2009	J	`jnl`	Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Comput. Educ. Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra
2009	B	`conf`	Collaborative Data Mining Tool for Education. EDM Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea
2009	B	`ed.`	Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. EDM Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura
2009	A	`conf`	Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2009	J	`jnl`	Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera
2009	J	`jnl`	KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera
2009	J	`jnl`	Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma
2009	Misc	`conf`	Multi-label Classification with Gene Expression Programming. HAIS José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2009	C	`conf`	Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA Amelia Zafra, Cristóbal Romero, Sebastián Ventura
2009	B	`conf`	Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. EDM Amelia Zafra, Sebastián Ventura
2009	J	`jnl`	Using mobile and web-based computerized tests to evaluate university students. Comput. Appl. Eng. Educ. Cristóbal Romero, Sebastián Ventura, Paul De Bra
2008	B	`conf`	Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM Sebastián Ventura, Cristóbal Romero, César Hervás
2008	B	`conf`	Data Mining Algorithms to Classify Students. EDM Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás
2008	J	`jnl`	Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. Cristóbal Romero, Sebastián Ventura, Enrique García
2008	J	`jnl`	JCLEC: a Java framework for evolutionary computation. Soft Comput. Sebastián Ventura, Cristóbal Romero, Amelia Zafra, José Antonio Delgado, César Hervás
2008	B	`conf`	Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura
2008	C	`conf`	Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. HIS Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
2008	J	`jnl`	Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. Rev. Iberoam. de Tecnol. del Aprendiz. Enrique García Salcines, Cristóbal Romero, Sebastián Ventura, Carlos de-Castro-Lozano
2007	J	`jnl`	Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. Cristóbal Romero, Sebastián Ventura
2007	—	`conf`	Multi-objective Genetic Programming for Multiple Instance Learning. ECML Amelia Zafra, Sebastián Ventura
2007	Misc	`conf`	Multiple Instance Learning with Genetic Programming for Web Mining. IWANN Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
2007	B	`conf`	Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. EC-TEL Cristóbal Romero, Sebastián Ventura, José Antonio Delgado, Paul De Bra
2006	—	`conf`	An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra
2006	C	`conf`	Evolutionary Product-Unit Neural Networks for Classification. IDEAL Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura
2006	J	`jnl`	Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero
2006	C	`conf`	Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
2006	J	`jnl`	Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
2004	J	`jnl`	Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Model. User Adapt. Interact. Cristóbal Romero, Sebastián Ventura, Paul De Bra
2003	—	`conf`	Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. CAEPIA Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer
2003	—	`conf`	Discovering Prediction Rules in AHA! Courses. User Modeling Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro
2001	B	`conf`	A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. ESANN César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva
1998	J	`jnl`	Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. J. Chem. Inf. Comput. Sci. César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito
1998	J	`jnl`	Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. Inteligencia Artif. César Hervás, Sebastián Ventura, J. Martínez
1997	J	`jnl`	Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. J. Chem. Inf. Comput. Sci. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
1997	J	`jnl`	Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. J. Chem. Inf. Comput. Sci. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás