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ORCIDSebastián Ventura
Sebastián Ventura Soto
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- affiliation: University of Córdoba, Spain
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2020 – today
- 2023
[j147]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)- [j146]Eduardo Pérez
, Sebastián Ventura:
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis. Knowl. Based Syst. 260: 110157 (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) - [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 A. D. 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 A. D. 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.