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ORCIDSebastián Ventura
Sebastián Ventura Soto
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- affiliation: University of Córdoba, Spain
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2020 – today
- 2024
[j160]Hareth Zmezm
, José María Luna, Eduardo Almeda Luna, Sebastián Ventura:
Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder. IEEE Access 12: 14580-14595 (2024)- [j159]Mabrouka Salmi, Dalia Atif, Diego Oliva, Ajith Abraham, Sebastián Ventura:
Handling imbalanced medical datasets: review of a decade of research. Artif. Intell. Rev. 57(10): 273 (2024) - [j158]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: 107814 (2024) - [j157]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): 1289-1315 (2024) - [j156]Christian Luna, Antonio R. Moya, José María Luna, Sebastián Ventura:
StaTDS library: Statistical tests for Data Science. Neurocomputing 595: 127877 (2024) - [j155]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: 120981 (2024) - [j154]Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura:
Hoeffding adaptive trees for multi-label classification on data streams. Knowl. Based Syst. 304: 112561 (2024) - [j153]Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura:
A survey of genetic algorithms for clustering: Taxonomy and empirical analysis. Swarm Evol. Comput. 91: 101720 (2024) - [i4]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
Interactive Multi-Objective Evolutionary Optimization of Software Architectures. CoRR abs/2401.04192 (2024) - [i3]Aurora Ramírez, José Raúl Romero, Carlos García-Martínez, Sebastián Ventura:
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems. CoRR abs/2402.18616 (2024) - [i2]Aurora Esteban, Alberto Cano, Amelia Zafra, Sebastián Ventura:
Hoeffding adaptive trees for multi-label classification on data streams. CoRR abs/2410.20242 (2024) - 2023
- [j152]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): 554 (2023) - [j151]Eduardo Pérez, Sebastián Ventura:
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis. Artif. Intell. Medicine 141: 102556 (2023) - [j150]Antonio Manuel Trasierras, José María Luna, Sebastián Ventura:
A contrast set mining based approach for cancer subtype analysis. Artif. Intell. Medicine 143: 102590 (2023) - [j149]José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura:
Efficient mining of top-k high utility itemsets through genetic algorithms. Inf. Sci. 624: 529-553 (2023) - [j148]Rafael Barbudo, Sebastián Ventura, José Raúl Romero:
Eight years of AutoML: categorisation, review and trends. Knowl. Inf. Syst. 65(12): 5097-5149 (2023) - [j147]Eduardo Pérez, Sebastián Ventura:
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis. Knowl. Based Syst. 260: 110157 (2023) - [j146]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
Improving Spiking Neural Network Performance with Auxiliary Learning. Mach. Learn. Knowl. Extr. 5(3): 1010-1022 (2023) - [c96]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: 45-55 - [c95]Eduardo Almeda Luna, José María Luna, Sebastián Ventura:
Radiomics Software Tools: A comparative Analysis on Breast Cancer. CBMS 2023: 542-547 - [c94]Hermes Robles-Berumen, Amelia Zafra, Sebastián Ventura:
A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering. HAIS 2023: 457-468 - [c93]Paolo Gabriel Cachi, Sebastián Ventura Soto, Krzysztof J. Cios:
TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning. IWANN (2) 2023: 653-663 - [c92]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 - 2022
- [j145]Jose M. Moyano, José María Luna, Sebastián Ventura:
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification. IEEE Access 10: 76480-76492 (2022) - [j144]Marco Antonio Barron, José María Luna, Sebastián Ventura:
Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming. IEEE Access 10: 125298-125310 (2022) - [j143]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): 1474-1495 (2022) - [j142]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): 2822-2848 (2022) - [j141]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): 127-145 (2022) - [j140]Jose M. Moyano, Sebastián Ventura:
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers. Inf. Fusion 78: 1-19 (2022) - [j139]Lorena Bowen-Mendoza, Maricela Pinargote-Ortega, Jaime Meza, Sebastián Ventura:
Design of peer assessment rubrics for ICT topics. J. Comput. High. Educ. 34(1): 211-241 (2022) - [j138]Rabia Maqsood, Paolo Ceravolo, Cristóbal Romero, Sebastián Ventura:
Modeling and predicting students' engagement behaviors using mixture Markov models. Knowl. Inf. Syst. 64(5): 1349-1384 (2022) - [j137]Eduardo Pérez, Sebastián Ventura:
An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis. Neural Comput. Appl. 34(13): 10429-10448 (2022) - [j136]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) - [c91]Mohamed Farouk Yacoub, Huda Amin Maghawry, Nivin A. Helal, Sebastián Ventura Soto, Tarek F. Gharib:
An Efficient 2-Stages Classification Model for Students Performance Prediction. AISI 2022: 107-122 - [c90]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: 1-9 - [c89]Marco Antonio Barron, José María Luna, Sebastián Ventura:
Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology. COINS 2022: 1-6 - [c88]Jose M. Moyano, José María Luna, Sebastián Ventura:
Improving the Performance of Multi-Label Classifiers via Label Space Reduction. COINS 2022: 1-6 - [c87]Eduardo Pérez, Sebastián Ventura:
Multi-view Deep Neural Networks for multiclass skin lesion diagnosis. COINS 2022: 1-6 - [c86]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: 1-4 - [e9]Mohamed Hamlich, Ladjel Bellatreche, Ali Siadat, Sebastián Ventura:
Smart Applications and Data Analysis - 4th International Conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, Proceedings. Communications in Computer and Information Science 1677, Springer 2022, ISBN 978-3-031-20489-0 [contents] - [i1]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. CoRR abs/2208.01522 (2022) - 2021
- [j135]Sebastián Ventura, Paolo Soda, Alejandro Rodríguez González:
EDITORIAL. Comput. Intell. 37(4): 1458-1459 (2021) - [j134]Carmen Luque, José Miguel Madueño Luna, Sebastián Ventura:
A semantically enriched text mining system for clinical decision support. Comput. Intell. 37(4): 1545-1570 (2021) - [j133]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: 114263 (2021) - [j132]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks. Frontiers Comput. Neurosci. 15: 627567 (2021) - [j131]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: 275-287 (2021) - [j130]Alejandro Rodríguez González, Sebastián Ventura Soto, Paolo Soda, Jesualdo Tomás Fernández-Breis:
Introduction to the special issue on Methods and applications in the analysis of social data in healthcare. Inf. Process. Manag. 58(1): 102427 (2021) - [j129]Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna:
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544: 519-548 (2021) - [j128]Maricela Pinargote-Ortega, Lorena Bowen-Mendoza, Jaime Meza, Sebastián Ventura:
Peer assessment using soft computing techniques. J. Comput. High. Educ. 33(3): 684-726 (2021) - [j127]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: 101858 (2021) - [e8]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:
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. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e7]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:
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. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j126]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8: 134782-134799 (2020) - [j125]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: 200982-200994 (2020) - [j124]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: 101950 (2020) - [j123]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): 576-590 (2020) - [j122]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): 102207 (2020) - [j121]Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano:
Distributed multi-label feature selection using individual mutual information measures. Knowl. Based Syst. 188 (2020) - [j120]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: 105383 (2020) - [j119]Francisco Padillo, José María Luna, Sebastián Ventura:
LAC: Library for associative classification. Knowl. Based Syst. 193: 105432 (2020) - [j118]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: 105770 (2020) - [j117]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): 973-991 (2020) - [j116]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): 2280-2293 (2020) - [j115]Cristóbal Romero, Sebastián Ventura:
Educational data mining and learning analytics: An updated survey. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [c85]Aurora Esteban, Amelia Zafra, Sebastián Ventura:
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning. CEC 2020: 1-8 - [c84]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: 1-8 - [c83]Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura:
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. ECAI 2020: 1379-1386 - [c82]Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura:
Mining Cross-Level High Utility Itemsets. IEA/AIE 2020: 858-871 - [c81]Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof Jozef Cios:
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization. IPMU (3) 2020: 773-786
2010 – 2019
- 2019
- [j114]Francisco Padillo, José María Luna, Sebastián Ventura:
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data. Cogn. Comput. 11(3): 331-346 (2019) - [j113]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: 14-28 (2019) - [j112]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): 1602-1612 (2019) - [j111]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): 1935-1952 (2019) - [j110]Oscar Gabriel Reyes Pupo, Sebastián Ventura:
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. Int. J. Neural Syst. 29(9): 1950014:1-1950014:22 (2019) - [j109]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: 168-180 (2019) - [j108]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
A survey of many-objective optimisation in search-based software engineering. J. Syst. Softw. 149: 382-395 (2019) - [j107]Hermes Robles-Berumen, Amelia Zafra, Habib M. Fardoun, Sebastián Ventura:
LEAC: An efficient library for clustering with evolutionary algorithms. Knowl. Based Syst. 179: 117-119 (2019) - [j106]Luis A. Quintero-Domínguez, Carlos Morell, Sebastián Ventura:
WordificationMI: multi-relational data mining through multiple-instance propositionalization. Prog. Artif. Intell. 8(3): 375-387 (2019) - [j105]Cristóbal Romero, Sebastián Ventura:
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance. IEEE Trans. Learn. Technol. 12(2): 145-147 (2019) - [j104]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) - [j103]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. 9(6) (2019) - [c80]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: 120-125 - [c79]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: 459-464 - [c78]Carmen Luque, José María Luna, Sebastián Ventura:
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge. CBMS 2019: 702-707 - [c77]Rabia Maqsood, Paolo Ceravolo, Sebastián Ventura:
Discovering Students' Engagement Behaviors in Confidence-based Assessment. EDUCON 2019: 841-846 - [c76]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: 173-179 - [c75]Jose M. Moyano, Eva Gibaja, Sebastián Ventura, Alberto Cano:
Speeding Up Classifier Chains in Multi-label Classification. IoTBDS 2019: 29-37 - [c74]José María Luna, Francisco Padillo, Sebastián Ventura:
Associative Classification in Big Data through a G3P Approach. IoTBDS 2019: 94-102 - 2018
- [b3]Sebastián Ventura, José María Luna:
Supervised Descriptive Pattern Mining. Springer 2018, ISBN 978-3-319-98139-0, pp. 1-185 - [j102]Gabriella Melki, Vojislav Kecman, Sebastián Ventura, Alberto Cano:
OLLAWV: OnLine Learning Algorithm using Worst-Violators. Appl. Soft Comput. 66: 384-393 (2018) - [j101]Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano:
Distributed nearest neighbor classification for large-scale multi-label data on spark. Future Gener. Comput. Syst. 87: 66-82 (2018) - [j100]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): 31-48 (2018) - [j99]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): 305-320 (2018) - [j98]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): 282-295 (2018) - [j97]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): 540-559 (2018) - [j96]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): 59-78 (2018) - [j95]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura:
Effective active learning strategy for multi-label learning. Neurocomputing 273: 494-508 (2018) - [j94]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: 33-45 (2018) - [j93]Aurora Ramírez Quesada, José Raúl Romero, Sebastián Ventura:
Interactive multi-objective evolutionary optimization of software architectures. Inf. Sci. 463-464: 92-109 (2018) - [j92]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): 453-467 (2018) - [j91]Oscar Gabriel Reyes Pupo, Abdulrahman H. Altalhi, Sebastián Ventura:
Statistical comparisons of active learning strategies over multiple datasets. Knowl. Based Syst. 145: 274-288 (2018) - [j90]Gabriella Melki, Alberto Cano, Sebastián Ventura:
MIRSVM: Multi-instance support vector machine with bag representatives. Pattern Recognit. 79: 228-241 (2018) - [j89]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): 2851-2865 (2018) - [j88]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): 3030-3044 (2018) - [j87]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): 46:1-46:26 (2018) - [c73]Oscar Gabriel Reyes Pupo, Jose María Moyano Murillo, José María Luna, Sebastián Ventura:
A gene expression programming method for multi-target regression. LOPAL 2018: 2:1-2:6 - 2017
- [j86]Gabriella Melki, Alberto Cano, Vojislav Kecman, Sebastián Ventura:
Multi-target support vector regression via correlation regressor chains. Inf. Sci. 415: 53-69 (2017) - [j85]Alberto Cano, Carlos García-Martínez, Sebastián Ventura:
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm. Inf. Sci. 415: 110-127 (2017) - [j84]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
MLDA: A tool for analyzing multi-label datasets. Knowl. Based Syst. 121: 1-3 (2017) - [j83]Francisco Padillo, José María Luna, Sebastián Ventura:
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark. Prog. Artif. Intell. 6(2): 145-158 (2017) - [j82]Alberto Cano, Sebastián Ventura, Krzysztof J. Cios:
Multi-objective genetic programming for feature extraction and data visualization. Soft Comput. 21(8): 2069-2089 (2017) - [j81]Cristóbal Romero, Sebastián Ventura:
Educational data science in massive open online courses. WIREs Data Mining Knowl. Discov. 7(1) (2017) - [j80]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) - [c72]Carlos García-Martínez, Sebastián Ventura:
Multi-view semi-supervised learning using genetic programming interpretable classification rules. CEC 2017: 573-579 - [c71]Francisco Padillo, José María Luna, Sebastián Ventura:
An evolutionary algorithm for mining rare association rules: A Big Data approach. CEC 2017: 2007-2014 - [c70]Jose M. Moyano, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains. CEC 2017: 2015-2021 - [c69]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
On the effect of local search in the multi-objective evolutionary discovery of software architectures. CEC 2017: 2038-2045 - [c68]Jorge Gonzalez-Lopez, Alberto Cano, Sebastián Ventura:
Large-Scale Multi-label Ensemble Learning on Spark. TrustCom/BigDataSE/ICESS 2017: 893-900 - [e6]Inaya Lahoud, Nada Matta, Fouad Zablith, Sebastián Ventura:
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. CEUR Workshop Proceedings 1780, CEUR-WS.org 2017 [contents] - 2016
- [b2]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [b1]Sebastián Ventura, José María Luna:
Pattern Mining with Evolutionary Algorithms. Springer 2016, ISBN 978-3-319-33857-6, pp. 1-190 - [j79]Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Amin Y. Noaman, Habib M. Fardoun, Sebastián Ventura:
Early dropout prediction using data mining: a case study with high school students. Expert Syst. J. Knowl. Eng. 33(1): 107-124 (2016) - [j78]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
A comparative study of many-objective evolutionary algorithms for the discovery of software architectures. Empir. Softw. Eng. 21(6): 2546-2600 (2016) - [j77]Alain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura:
An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming. Int. J. Comput. Intell. Syst. 9(2): 263-280 (2016) - [j76]Amin Y. Noaman, José María Luna, Abdul Hamid M. Ragab, Sebastián Ventura:
Recommending degree studies according to students' attitudes in high school by means of subgroup discovery. Int. J. Comput. Intell. Syst. 9(6): 1101-1117 (2016) - [j75]Alberto Cano, José María Luna, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
LAIM discretization for multi-label data. Inf. Sci. 330: 370-384 (2016) - [j74]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura:
Effective lazy learning algorithm based on a data gravitation model for multi-label learning. Inf. Sci. 340-341: 159-174 (2016) - [j73]José María Luna, Alberto Cano, Virgilijus Sakalauskas, Sebastián Ventura:
Discovering useful patterns from multiple instance data. Inf. Sci. 357: 23-38 (2016) - [j72]Oscar Gabriel Reyes Pupo, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura:
JCLAL: A Java Framework for Active Learning. J. Mach. Learn. Res. 17: 95:1-95:5 (2016) - [j71]José María Luna, Mykola Pechenizkiy, Sebastián Ventura:
Mining exceptional relationships with grammar-guided genetic programming. Knowl. Inf. Syst. 47(3): 571-594 (2016) - [j70]Eva Gibaja, Jose M. Moyano, Sebastián Ventura:
An ensemble-based approach for multi-view multi-label classification. Prog. Artif. Intell. 5(4): 251-259 (2016) - [j69]Alberto Cano, Dat T. Nguyen, Sebastián Ventura, Krzysztof J. Cios:
ur-CAIM: improved CAIM discretization for unbalanced and balanced data. Soft Comput. 20(1): 173-188 (2016) - [j68]José María Luna, Alberto Cano, Mykola Pechenizkiy, Sebastián Ventura:
Speeding-Up Association Rule Mining With Inverted Index Compression. IEEE Trans. Cybern. 46(12): 3059-3072 (2016) - [c67]Francisco Padillo, José María Luna, Sebastián Ventura:
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms. IEEE BigData 2016: 1814-1823 - [c66]Francisco Padillo, José María Luna, Alberto Cano, Sebastián Ventura:
A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets. HAIS 2016: 365-376 - [c65]Aurora Ramírez, Rafael Barbudo, José Raúl Romero, Sebastián Ventura:
Memetic Algorithms for the Automatic Discovery of Software Architectures. ISDA 2016: 437-447 - [c64]Francisco Padillo, José María Luna, Sebastián Ventura:
Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce. ISDA 2016: 508-518 - [c63]Francisco Padillo, José María Luna, Sebastián Ventura:
Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce. Trustcom/BigDataSE/ISPA 2016: 1684-1691 - 2015
- [j67]José María Luna, Cristóbal Romero, José Raúl Romero, Sebastián Ventura:
An evolutionary algorithm for the discovery of rare class association rules in learning management systems. Appl. Intell. 42(3): 501-513 (2015) - [j66]Eva Gibaja, Sebastián Ventura:
A Tutorial on Multilabel Learning. ACM Comput. Surv. 47(3): 52:1-52:38 (2015) - [j65]Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura:
Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Comput. Intell. Syst. 8(6): 1144-1164 (2015) - [j64]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura:
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context. Neurocomputing 161: 168-182 (2015) - [j63]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
An approach for the evolutionary discovery of software architectures. Inf. Sci. 305: 234-255 (2015) - [j62]Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura:
A classification module for genetic programming algorithms in JCLEC. J. Mach. Learn. Res. 16: 491-494 (2015) - [j61]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Speeding up multiple instance learning classification rules on GPUs. Knowl. Inf. Syst. 44(1): 127-145 (2015) - [j60]Cristóbal Romero, Sebastián Ventura:
J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice. Technol. Knowl. Learn. 20(3): 357-360 (2015) - [c62]David Pinheiro, Alberto Cano, Sebastián Ventura:
Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE. EPIA 2015: 305-310 - [c61]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms. GECCO (Companion) 2015: 1085-1092 - [c60]Manuel Ángel Jiménez-Gómez, José María Luna, Cristóbal Romero, Sebastián Ventura:
Discovering clues to avoid middle school failure at early stages. LAK 2015: 300-304 - [e5]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:
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015. International Educational Data Mining Society (IEDMS) 2015, ISBN 978-8-4606-9425-0 [contents] - [r1]José María Luna, Alberto Cano, Sebastián Ventura:
Genetic Programming for Mining Association Rules in Relational Database Environments. Handbook of Genetic Programming Applications 2015: 431-450 - 2014
- [j59]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm. Integr. Comput. Aided Eng. 21(4): 321-337 (2014) - [j58]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura:
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms. Integr. Comput. Aided Eng. 21(4): 339-354 (2014) - [j57]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Single and multi-objective ant programming for mining interesting rare association rules. Int. J. Hybrid Intell. Syst. 11(3): 197-209 (2014) - [j56]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs. Neurocomputing 126: 45-57 (2014) - [j55]Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura:
Special issue: Advances in learning schemes for function approximation. Neurocomputing 135: 1-2 (2014) - [j54]Sebastián Ventura, Cristóbal Romero, Ajith Abraham:
Foreword: Intelligent data analysis. J. Comput. Syst. Sci. 80(1): 1-2 (2014) - [j53]José María Luna, José Raúl Romero, Sebastián Ventura:
On the adaptability of G3PARM to the extraction of rare association rules. Knowl. Inf. Syst. 38(2): 391-418 (2014) - [j52]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery. IEEE Trans. Cybern. 44(12): 2329-2341 (2014) - [j51]Alberto Cano, Sebastián Ventura, Krzysztof J. Cios:
Scalable CAIM discretization on multiple GPUs using concurrent kernels. J. Supercomput. 69(1): 273-292 (2014) - [j50]Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multi-label learning: a review of the state of the art and ongoing research. WIREs Data Mining Knowl. Discov. 4(6): 411-444 (2014) - [j49]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Swarm-based metaheuristics in automatic programming: a survey. WIREs Data Mining Knowl. Discov. 4(6): 445-469 (2014) - [c59]Javier Fuentes, Cristóbal Romero, Carlos García-Martínez, Sebastián Ventura:
Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. EDM 2014: 327-328 - [c58]Alberto Cano, Sebastián Ventura:
GPU-parallel subtree interpreter for genetic programming. GECCO 2014: 887-894 - [c57]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
On the performance of multiple objective evolutionary algorithms for software architecture discovery. GECCO 2014: 1287-1294 - [c56]Juan A. Pedraza, Carlos García-Martínez, Alberto Cano, Sebastián Ventura:
Classification Rule Mining with Iterated Greedy. HAIS 2014: 585-596 - 2013
- [j48]Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura:
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. 38(3): 315-330 (2013) - [j47]Cristóbal Romero, Pedro G. Espejo, Amelia Zafra, José Raúl Romero, Sebastián Ventura:
Web usage mining for predicting final marks of students that use Moodle courses. Comput. Appl. Eng. Educ. 21(1): 135-146 (2013) - [j46]Cristóbal Romero, Manuel Ignacio López, José María Luna, Sebastián Ventura:
Predicting students' final performance from participation in on-line discussion forums. Comput. Educ. 68: 458-472 (2013) - [j45]José María Luna, José Raúl Romero, Sebastián Ventura:
Grammar-based multi-objective algorithms for mining association rules. Data Knowl. Eng. 86: 19-37 (2013) - [j44]Cristóbal Romero, Amelia Zafra, José María Luna, Sebastián Ventura:
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. J. Knowl. Eng. 30(2): 162-172 (2013) - [j43]Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura:
Mining association rules with single and multi-objective grammar guided ant programming. Integr. Comput. Aided Eng. 20(3): 217-234 (2013) - [j42]Carlos Márquez-Vera, Cristóbal Romero Morales, Sebastián Ventura Soto:
Predicting School Failure and Dropout by Using Data Mining Techniques. Rev. Iberoam. de Tecnol. del Aprendiz. 8(1): 7-14 (2013) - [j41]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222: 282-301 (2013) - [j40]Alberto Cano, Amelia Zafra, Sebastián Ventura:
An interpretable classification rule mining algorithm. Inf. Sci. 240: 1-20 (2013) - [j39]Alberto Cano, Juan Luis Olmo, Sebastián Ventura:
Parallel multi-objective Ant Programming for classification using GPUs. J. Parallel Distributed Comput. 73(6): 713-728 (2013) - [j38]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
DRAL: a tool for discovering relevant e-activities for learners. Knowl. Inf. Syst. 36(1): 211-250 (2013) - [j37]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Weighted Data Gravitation Classification for Standard and Imbalanced Data. IEEE Trans. Cybern. 43(6): 1672-1687 (2013) - [j36]Alberto Cano, José María Luna, Sebastián Ventura:
High performance evaluation of evolutionary-mined association rules on GPUs. J. Supercomput. 66(3): 1438-1461 (2013) - [j35]Cristóbal Romero, Sebastián Ventura:
Data mining in education. WIREs Data Mining Knowl. Discov. 3(1): 12-27 (2013) - [c55]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura Soto:
ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning. CIARP (2) 2013: 528-535 - [c54]Cristóbal Romero, Juan Luis Olmo, Sebastián Ventura:
A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. EDM 2013: 268-271 - [c53]Cristóbal Romero, Cristobal Castro, Sebastián Ventura:
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. EDM 2013: 400-401 - [c52]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
Discovering Subgroups by Means of Genetic Programming. EuroGP 2013: 121-132 - [c51]Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP 2013: 217-228 - [c50]Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
A novel component identification approach using evolutionary programming. GECCO (Companion) 2013: 209-210 - [c49]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
On the use of ant programming for mining rare association rules. NaBIC 2013: 220-225 - 2012
- [j34]Amelia Zafra, Sebastián Ventura:
Multi-instance genetic programming for predicting student performance in web based educational environments. Appl. Soft Comput. 12(8): 2693-2706 (2012) - [j33]Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura Soto:
Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. Rev. Iberoam. de Tecnol. del Aprendiz. 7(3): 109-117 (2012) - [j32]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75(1): 210-218 (2012) - [j31]José María Luna, José Raúl Romero, Sebastián Ventura:
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowl. Inf. Syst. 32(1): 53-76 (2012) - [j30]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. 16(2): 187-202 (2012) - [j29]Amelia Zafra, Sebastián Ventura:
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Comput. 16(6): 955-977 (2012) - [j28]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Classification rule mining using ant programming guided by grammar with multiple Pareto fronts. Soft Comput. 16(12): 2143-2163 (2012) - [c48]Manuel Ignacio López, Cristóbal Romero, Sebastián Ventura, José María Luna:
Classification via clustering for predicting final marks starting from the student participation in Forums. EDM 2012: 148-151 - [c47]María De Mar Molina, Cristóbal Romero, Sebastián Ventura, José María Luna:
Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM 2012: 180-183 - [c46]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Multi-Objective Ant Programming for Mining Classification Rules. EuroGP 2012: 146-157 - [c45]José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura:
A genetic programming free-parameter algorithm for mining association rules. ISDA 2012: 64-69 - [c44]Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura:
Binary and multiclass imbalanced classification using multi-objective ant programming. ISDA 2012: 70-76 - [c43]Juan Ignacio Jaen, José Raúl Romero, Sebastián Ventura:
VisualJCLEC: A visual framework for evolutionary computation. ISDA 2012: 119-125 - [c42]Oscar Gabriel Reyes Pupo, Carlos Morell, Sebastián Ventura:
Learning similarity metric to improve the performance of lazy multi-label ranking algorithms. ISDA 2012: 246-251 - [e4]Ajith Abraham, Albert Y. Zomaya, Sebastián Ventura, Ronald R. Yager, Václav Snásel, Azah Kamilah Muda, Philip Samuel:
12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, Kochi, India, November 27-29, 2012. IEEE 2012, ISBN 978-1-4673-5117-1 [contents] - 2011
- [j27]Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura:
RM-Tool: A framework for discovering and evaluating association rules. Adv. Eng. Softw. 42(8): 566-576 (2011) - [j26]Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Appl. Soft Comput. 11(1): 93-102 (2011) - [j25]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38(12): 15020-15031 (2011) - [j24]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
A collaborative educational association rule mining tool. Internet High. Educ. 14(2): 77-88 (2011) - [j23]José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura:
A Gene Expression Programming Algorithm for Multi-Label Classification. J. Multiple Valued Log. Soft Comput. 17(2-3): 183-206 (2011) - [j22]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1585-1599 (2011) - [j21]Cristóbal Romero, Sebastián Ventura:
Preface to the special issue on data mining for personalised educational systems. User Model. User Adapt. Interact. 21(1-2): 1-3 (2011) - [c41]Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura:
Predicting School Failure Using Data Mining. EDM 2011: 271-276 - [c40]Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura:
A Java Desktop Tool for Mining Moodle Data. EDM 2011: 319-320 - [c39]Alberto Cano, Amelia Zafra, Sebastián Ventura:
A Parallel Genetic Programming Algorithm for Classification. HAIS (1) 2011: 172-181 - [c38]Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura:
JCLEC Meets WEKA! HAIS (1) 2011: 388-395 - [c37]Alberto Cano, Amelia Zafra, Sebastián Ventura:
An EP algorithm for learning highly interpretable classifiers. ISDA 2011: 325-330 - [c36]Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura:
Association rule mining using a multi-objective grammar-based ant programming algorithm. ISDA 2011: 971-977 - [c35]José María Luna, José Raúl Romero, Sebastián Ventura:
Mining and representing rare association rules through the use of genetic programming. NaBIC 2011: 86-91 - [e3]Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper:
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, ISBN 978-90-386-2537-9 [contents] - [e2]Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo:
11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. IEEE 2011, ISBN 978-1-4577-1676-8 [contents] - 2010
- [j20]Amelia Zafra, Sebastián Ventura:
G3P-MI: A genetic programming algorithm for multiple instance learning. Inf. Sci. 180(23): 4496-4513 (2010) - [j19]Pedro G. Espejo, Sebastián Ventura, Francisco Herrera:
A Survey on the Application of Genetic Programming to Classification. IEEE Trans. Syst. Man Cybern. Part C 40(2): 121-144 (2010) - [j18]Cristóbal Romero, Sebastián Ventura:
Educational Data Mining: A Review of the State of the Art. IEEE Trans. Syst. Man Cybern. Part C 40(6): 601-618 (2010) - [c34]José María Luna, José Raúl Romero, Sebastián Ventura:
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c33]Juan Luis Olmo, José Raúl Romero, Sebastián Ventura:
A grammar based Ant Programming algorithm for mining classification rules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c32]Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura:
Mining Rare Association Rules from e-Learning Data. EDM 2010: 171-180 - [c31]Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy:
Class Association Rules Mining from Students' Test Data. EDM 2010: 317-318 - [c30]Amelia Zafra, Sebastián Ventura:
Grammar guided genetic programming for multiple instance learning: an experimental study. GECCO 2010: 909-916 - [c29]José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. HAIS (2) 2010: 9-16 - [c28]Alberto Cano, Amelia Zafra, Sebastián Ventura:
Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) 2010: 17-26 - [c27]José María Luna, José Raúl Romero, Sebastián Ventura:
Analysis of the Effectiveness of G3PARM Algorithm. HAIS (2) 2010: 27-34 - [c26]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) 2010: 35-44 - [c25]Amelia Zafra, Sebastián Ventura:
Web Usage Mining for Improving Students Performance in Learning Management Systems. IEA/AIE (3) 2010: 439-449 - [c24]Eva Lucrecia Gibaja Galindo, Manuel Victoriano, José Luis Ávila-Jiménez, Sebastián Ventura:
A TDIDT technique for multi-label classification. ISDA 2010: 519-524 - [c23]Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura:
Feature selection is the ReliefF for multiple instance learning. ISDA 2010: 525-532 - [c22]José María Luna, Aurora Ramírez, José Raúl Romero, Sebastián Ventura:
An intruder detection approach based on infrequent rating pattern mining. ISDA 2010: 682-688 - [c21]Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura:
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. PAAMS (Special Sessions and Workshops) 2010: 649-656
2000 – 2009
- 2009
- [j17]Cristóbal Romero, Sebastián Ventura, Paul De Bra:
Using mobile and web-based computerized tests to evaluate university students. Comput. Appl. Eng. Educ. 17(4): 435-447 (2009) - [j16]Cristóbal Romero, Sebastián Ventura, Amelia Zafra, Paul De Bra:
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems. Comput. Educ. 53(3): 828-840 (2009) - [j15]Cristóbal Romero, Pedro González, Sebastián Ventura, María José del Jesus, Francisco Herrera:
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36(2): 1632-1644 (2009) - [j14]Amelia Zafra, Cristóbal Romero, Sebastián Ventura, Enrique Herrera-Viedma:
Multi-instance genetic programming for web index recommendation. Expert Syst. Appl. 36(9): 11470-11479 (2009) - [j13]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:
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009) - [j12]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Model. User Adapt. Interact. 19(1-2): 99-132 (2009) - [c20]Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea:
Collaborative Data Mining Tool for Education. EDM 2009: 299-308 - [c19]Amelia Zafra, Sebastián Ventura:
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. EDM 2009: 309-318 - [c18]Amelia Zafra, Sebastián Ventura:
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS 2009: 450-458 - [c17]José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multi-label Classification with Gene Expression Programming. HAIS 2009: 629-637 - [c16]José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura:
A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. IDEAL 2009: 570-577 - [c15]Amelia Zafra, Cristóbal Romero, Sebastián Ventura:
Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA 2009: 1120-1125 - [c14]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP 2009: 16-29 - [e1]Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura:
Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. www.educationaldatamining.org 2009, ISBN 978-84-613-2308-1 [contents] - 2008
- [j11]Cristóbal Romero, Sebastián Ventura, Enrique García:
Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. 51(1): 368-384 (2008) - [j10]Enrique García Salcines, Cristóbal Romero, Sebastián Ventura, Carlos de-Castro-Lozano:
Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. Rev. Iberoam. de Tecnol. del Aprendiz. 3(1): 19-30 (2008) - [j9]Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás:
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12(4): 381-392 (2008) - [c13]Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás:
Data Mining Algorithms to Classify Students. EDM 2008: 8-17 - [c12]Sebastián Ventura, Cristóbal Romero, César Hervás:
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181 - [c11]Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura:
Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM 2008: 182-186 - [c10]Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura:
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. HIS 2008: 513-518 - 2007
- [j8]Cristóbal Romero, Sebastián Ventura:
Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. 33(1): 135-146 (2007) - [c9]Amelia Zafra, Sebastián Ventura:
Multi-objective Genetic Programming for Multiple Instance Learning. ECML 2007: 790-797 - [c8]Cristóbal Romero, Sebastián Ventura, Jose Antonio Delgado, Paul De Bra:
Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. EC-TEL 2007: 292-306 - [c7]Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero:
Multiple Instance Learning with Genetic Programming for Web Mining. IWANN 2007: 919-927 - 2006
- [j7]Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero:
Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. 10(29): 19-30 (2006) - [j6]Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales:
Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine 38(1): 67-78 (2006) - [c6]Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra:
An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH 2006: 203-212 - [c5]Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro:
Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL 2006: 887-895 - [c4]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura:
Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328 - 2004
- [j5]Cristóbal Romero, Sebastián Ventura, Paul De Bra:
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Model. User Adapt. Interact. 14(5): 425-464 (2004) - 2003
- [c3]Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer:
Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. CAEPIA 2003: 177-186 - [c2]Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro:
Discovering Prediction Rules in AHA! Courses. User Modeling 2003: 25-34 - 2001
- [c1]César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva:
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. ESANN 2001: 347-352
1990 – 1999
- 1998
- [j4]César Hervás, Sebastián Ventura, J. Martínez:
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. Inteligencia Artif. 2(5): 32-37 (1998) - [j3]César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito:
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. J. Chem. Inf. Comput. Sci. 38(6): 1119-1124 (1998) - 1997
- [j2]Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás:
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. J. Chem. Inf. Comput. Sci. 37(2): 287-291 (1997) - [j1]Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás:
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. J. Chem. Inf. Comput. Sci. 37(3): 517-521 (1997)
Coauthor Index
Alberto Cano 0001
aka: Alberto Cano Rojas
aka: Alberto Cano Rojas
Krzysztof J. Cios
aka: Krzysztof Jozef Cios
aka: Krzysztof Jozef Cios
César Hervás-Martínez
aka: César Hervás
aka: César Hervás
[j160] [j156] [j155] [j150] [j149] [c95] [j145] [j144] [j143] [j142] [j141] [c89] [c88] [j129] [j126] [j125] [j119] [c82] [j114] [j112] [j104] [j103] [c78] [c74] [b3] [j100] [j96] [j89] [j88] [c73] [j83] [j80] [c71] [b1] [j76] [j75] [j73] [j71] [j68] [c67] [c66] [c64] [c63] [j67] [j62] [c60] [e5] [r1] [j59] [j53] [j52] [j46] [j45] [j44] [j43] [j36] [c52] [j31] [c48] [c47] [c45] [j27] [c38] [c36] [c35] [c34] [c32] [c27] [c22] [c21]
Jose M. Moyano
aka: Jose María Moyano Murillo
aka: Jose María Moyano Murillo
Aurora Ramírez 0001
aka: Aurora Ramírez Quesada
aka: Aurora Ramírez Quesada
Cristóbal Romero 0001
aka: Cristóbal Romero Morales
aka: Cristóbal Romero Morales
[j152] [c92] [j141] [j138] [j115] [j105] [j81] [j79] [j67] [j65] [j60] [c60] [e5] [j59] [j54] [j52] [c59] [j48] [j47] [j46] [j44] [j42] [j38] [j35] [c54] [c53] [c52] [j33] [c48] [c47] [c45] [j27] [j25] [j24] [j21] [c41] [c40] [e3] [e2] [j18] [c32] [c31] [j17] [j16] [j15] [j14] [j13] [j12] [c20] [c15] [c14] [e1] [j11] [j10] [j9] [c13] [c12] [c11] [j8] [c8] [c7] [j7] [j6] [c6] [c5] [j5] [c2]
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