Sebastián Ventura

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 124

Top Venues

Inf. Sci.

Int. J. Comput. Intell. Syst.

Knowl. Based Syst.

WIREs Data Mining Knowl. Discov.

Publications

Aurora Ramírez, José Raúl Romero, Sebastián Ventura
Interactive Multi-Objective Evolutionary Optimization of Software Architectures. CoRR (2024)
Antonio Manuel Trasierras, José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Data heterogeneity's impact on the performance of frequent itemset mining algorithms. Inf. Sci. 678 (2024)
Christian Luna, Antonio R. Moya, José María Luna, Sebastián Ventura
StaTDS library: Statistical tests for Data Science. Neurocomputing 595 (2024)
Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. Data Min. Knowl. Discov. 38 (3) (2024)
Aurora Ramírez, José Raúl Romero, Carlos García-Martínez, Sebastián Ventura
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems. CoRR (2024)
Hareth Zmezm, José María Luna, Eduardo Almeda Luna, Sebastián Ventura
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder. IEEE Access 12 (2024)
José Luis Ávila-Jiménez, Vanesa Cantón-Habas, María del Pilar Carrera-González, Manuel Rich-Ruiz, Sebastián Ventura
A deep learning model for Alzheimer's disease diagnosis based on patient clinical records. Comput. Biol. Medicine 169 (2024)
Eduardo Pérez, Sebastián Ventura
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis. Knowl. Based Syst. 260 (2023)
Rafael Barbudo, Sebastián Ventura, José Raúl Romero
Eight years of AutoML: categorisation, review and trends. Knowl. Inf. Syst. 65 (12) (2023)
José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura
high utility itemsets through genetic algorithms. Inf. Sci. 624 (2023)
Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
Improving Spiking Neural Network Performance with Auxiliary Learning. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering. HAIS (2023)
Rafael Berral-Soler, Francisco José Madrid-Cuevas, Sebastián Ventura, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
A Comparison of Neural Network-Based Super-Resolution Models on 3D Rendered Images. CAIP (1) (2023)
Eduardo Almeda Luna, José María Luna, Sebastián Ventura
Radiomics Software Tools: A comparative Analysis on Breast Cancer. CBMS (2023)
Jose Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities. Algorithms 16 (12) (2023)
Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine 143 (2023)
Eduardo Pérez, Sebastián Ventura
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis. Artif. Intell. Medicine 141 (2023)
Jose Manuel Porras, Antonio Porras, José Alberto Fernández, Cristóbal Romero, Sebastián Ventura
Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education. LASI Spain (2023)
Marco Antonio Barron, José María Luna, Sebastián Ventura
Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming. IEEE Access 10 (2022)
Lorena Bowen-Mendoza, Maricela Pinargote-Ortega, Jaime Meza, Sebastián Ventura
Design of peer assessment rubrics for ICT topics. J. Comput. High. Educ. 34 (1) (2022)
Aurora Esteban, Amelia Zafra, Sebastián Ventura
Data mining in predictive maintenance systems: A taxonomy and systematic review. WIREs Data Mining Knowl. Discov. 12 (5) (2022)
Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. 14 (4) (2022)
Paolo Gabriel Cachi, Soumil Jain, Sebastián Ventura, Gert Cauwenberghs, Krzysztof J. Cios
Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip. ICECS 2022 (2022)
José A. Delgado-Osuna, Carlos García-Martínez, Sebastián Ventura
Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package. CEC (2022)
Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. CoRR (2022)
Marco Antonio Barron, José María Luna, Sebastián Ventura
Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology. COINS (2022)
Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura
Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. 64 (5) (2022)
Jose M. Moyano, Sebastián Ventura
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. Inf. Fusion 78 (2022)
Eduardo Pérez, Sebastián Ventura
Multi-view Deep Neural Networks for multiclass skin lesion diagnosis. COINS (2022)
Eduardo Pérez, Sebastián Ventura
An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis. Neural Comput. Appl. 34 (13) (2022)
José María Luna, Habib M. Fardoun, Francisco Padillo, Cristóbal Romero, Sebastián Ventura
Subgroup discovery in MOOCs: a big data application for describing different types of learners. Interact. Learn. Environ. 30 (1) (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS (2022)
Jose M. Moyano, José María Luna, Sebastián Ventura
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10 (2022)
Antonio Manuel Trasierras, José María Luna, Sebastián Ventura
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach. Int. J. Intell. Syst. 37 (4) (2022)
Sebastián Ventura, Paolo Soda, Alejandro Rodríguez González
EDITORIAL. Comput. Intell. 37 (4) (2021)
Eduardo Pérez, Oscar Gabriel Reyes Pupo, Sebastián Ventura
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study. Medical Image Anal. 67 (2021)
Carmen Luque, José Miguel Madueño Luna, Sebastián Ventura
A semantically enriched text mining system for clinical decision support. Comput. Intell. 37 (4) (2021)
Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544 (2021)
Jose M. Moyano, Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
Performing multi-target regression via gene expression programming-based ensemble models. Neurocomputing 432 (2021)
Maricela Pinargote-Ortega, Lorena Bowen-Mendoza, Jaime Meza, Sebastián Ventura
Peer assessment using soft computing techniques. J. Comput. High. Educ. 33 (3) (2021)
Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming. Expert Syst. Appl. 168 (2021)
Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. Frontiers Comput. Neurosci. 15 (2021)
Jose M. Moyano, Eva Gibaja, Krzysztof J. Cios, Sebastián Ventura
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms. Knowl. Based Syst. 196 (2020)
Saeed-Ul Hassan, Naif R. Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera
Predicting literature's early impact with sentiment analysis in Twitter. Knowl. Based Syst. 192 (2020)
José María Luna, Mykola Pechenizkiy, Wouter Duivesteijn, Sebastián Ventura
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios. IEEE Access 8 (2020)
José A. Delgado-Osuna, Carlos García-Martínez, Jose Gómez Barbadillo, Sebastián Ventura
Heuristics for interesting class association rule mining a colorectal cancer database. Inf. Process. Manag. 57 (3) (2020)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed multi-label feature selection using individual mutual information measures. Knowl. Based Syst. 188 (2020)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming. CEC (2020)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Saeed-Ul Hassan, Naif R. Aljohani, Mudassir Shabbir, Umair Ali, Sehrish Iqbal, Raheem Sarwar, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera
Tweet Coupling: a social media methodology for clustering scientific publications. Scientometrics 124 (2) (2020)
José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8 (2020)
Aurora Esteban, Amelia Zafra, Sebastián Ventura
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. CEC (2020)
Francisco Padillo, José María Luna, Sebastián Ventura
LAC: Library for associative classification. Knowl. Based Syst. 193 (2020)
Oscar Gabriel Reyes Pupo, Eduardo Pérez, Raúl M. Luque, Justo Castaño, Sebastián Ventura
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis. Artif. Intell. Medicine 108 (2020)
Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof Jozef Cios
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. IPMU (3) (2020)
Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI (2020)
Carlos García-Martínez, Sebastián Ventura
Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura
Mining Cross-Level High Utility Itemsets. IEA/AIE (2020)
Cristóbal Romero, Sebastián Ventura
Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Carmen Luque, José María Luna, Sebastián Ventura
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge. CBMS (2019)
José Antonio Delgado-Osuna, Carlos García-Martínez, Sebastián Ventura, Jose Gómez Barbadillo
Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database. CBMS (2019)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark. ICCS (3) (2019)
Rabia Maqsood, Paolo Ceravolo, Sebastián Ventura
Discovering Students' Engagement Behaviors in Confidence-based Assessment. EDUCON (2019)
Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS (2019)
Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura
LEAC: An efficient library for clustering with evolutionary algorithms. Knowl. Based Syst. 179 (2019)
Carmen Luque, José María Luna, Maria Luque, Sebastián Ventura
An advanced review on text mining in medicine. WIREs Data Mining Knowl. Discov. 9 (3) (2019)
Cristóbal Romero, Sebastián Ventura
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. 12 (2) (2019)
José María Luna, Cristóbal J. Carmona, Ángel Miguel García-Vico, María José del Jesus, Sebastián Ventura
Subgroup Discovery on Multiple Instance Data. Int. J. Comput. Intell. Syst. 12 (2) (2019)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
An evolutionary approach to build ensembles of multi-label classifiers. Inf. Fusion 50 (2019)
Saeed-Ul Hassan, Hajra Waheed, Naif R. Aljohani, Mohsen Ali, Sebastián Ventura, Francisco Herrera
Virtual learning environment to predict withdrawal by leveraging deep learning. Int. J. Intell. Syst. 34 (8) (2019)
Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura
WordificationMI: multi-relational data mining through multiple-instance propositionalization. Prog. Artif. Intell. 8 (3) (2019)
Francisco Padillo, José María Luna, Sebastián Ventura
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data. Cogn. Comput. 11 (3) (2019)
José María Luna, Francisco Padillo, Sebastián Ventura
Associative Classification in Big Data through a G3P Approach. IoTBDS (2019)
Oscar Gabriel Reyes Pupo, Raúl M. Luque, Justo Castaño, Sebastián Ventura
A Supervised Methodology for Analyzing Dysregulation in Splicing Machinery: An Application in Cancer Diagnosis. CBMS (2019)
Aurora Ramírez, José Raúl Romero, Carlos García-Martínez, Sebastián Ventura
JCLEC-MO: A Java suite for solving many-objective optimization engineering problems. Eng. Appl. Artif. Intell. 81 (2019)
Oscar Gabriel Reyes Pupo, Sebastián Ventura
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. Int. J. Neural Syst. 29 (9) (2019)
Aurora Ramírez, José Raúl Romero, Sebastián Ventura
A survey of many-objective optimisation in search-based software engineering. J. Syst. Softw. 149 (2019)
José María Luna, Philippe Fournier-Viger, Sebastián Ventura
Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. 9 (6) (2019)
Oscar Gabriel Reyes Pupo, Habib M. Fardoun, Sebastián Ventura
An ensemble-based method for the selection of instances in the multi-target regression problem. Integr. Comput. Aided Eng. 25 (4) (2018)
Oscar Gabriel Reyes Pupo, Abdulrahman H. Altalhi, Sebastián Ventura
Statistical comparisons of active learning strategies over multiple datasets. Knowl. Based Syst. 145 (2018)
Oscar Gabriel Reyes Pupo, Sebastián Ventura
Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data. ACM Trans. Intell. Syst. Technol. 9 (4) (2018)
Alberto Cano Rojas, Enrique Yeguas-Bolivar, Rafael Muñoz-Salinas, Rafael Medina Carnicer, Sebastián Ventura
Parallelization strategies for markerless human motion capture. J. Real Time Image Process. 14 (2) (2018)
Gabriella Melki, Alberto Cano, Sebastián Ventura
MIRSVM: Multi-instance support vector machine with bag representatives. Pattern Recognit. 79 (2018)
Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano
OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. 66 (2018)
José María Luna, Francisco Padillo, Mykola Pechenizkiy, Sebastián Ventura
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data. IEEE Trans. Cybern. 48 (10) (2018)
Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura
A gene expression programming method for multi-target regression. LOPAL (2018)
Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano
Distributed nearest neighbor classification for large-scale multi-label data on spark. Future Gener. Comput. Syst. 87 (2018)
José María Luna, M. Ondra, Habib M. Fardoun, Sebastián Ventura
Optimization of quality measures in association rule mining: an empirical study. Int. J. Comput. Intell. Syst. 12 (1) (2018)
Francisco Padillo, José María Luna, Francisco Herrera, Sebastián Ventura
Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. 25 (1) (2018)
José María Luna, Mykola Pechenizkiy, María José del Jesus, Sebastián Ventura
Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Trans. Cybern. 48 (11) (2018)
Oscar Gabriel Reyes Pupo, Alberto Cano, Habib M. Fardoun, Sebastián Ventura
A locally weighted learning method based on a data gravitation model for multi-target regression. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Alain Guerrero-Enamorado, Carlos Morell, Sebastián Ventura
A gene expression programming algorithm for discovering classification rules in the multi-objective space. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura
Effective active learning strategy for multi-label learning. Neurocomputing 273 (2018)
Aurora Ramírez Quesada, José Raúl Romero, Sebastián Ventura
Interactive multi-objective evolutionary optimization of software architectures. Inf. Sci. (2018)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios, Sebastián Ventura
Review of ensembles of multi-label classifiers: Models, experimental study and prospects. Inf. Fusion 44 (2018)
Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura
An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. CEC (2017)
Alberto Cano, Carlos García-Martínez, Sebastián Ventura
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm. Inf. Sci. 415 (2017)
Cristóbal Romero, Sebastián Ventura
Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. 7 (1) (2017)
Aurora Ramírez, José Raúl Romero, Sebastián Ventura
On the effect of local search in the multi-objective evolutionary discovery of software architectures. CEC (2017)
Abdulrahman H. Altalhi, José María Luna, M. A. Vallejo, Sebastián Ventura
Evaluation and comparison of open source software suites for data mining and knowledge discovery. WIREs Data Mining Knowl. Discov. 7 (3) (2017)

Sebastián Ventura.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sebastián Ventura