2019
|
Quintero-Domínguez, L A; Morell, C; Ventura, S WordificationMI: multi-relational data mining through multiple-instance propositionalization Journal Article Progress in Artificial Intelligence, 8 , pp. 375-387, 2019. Links | BibTeX | Tags: Multi-instance Learning, Propositionalization @article{Quintero-Dom\^{i}nguez2019375,
title = {WordificationMI: multi-relational data mining through multiple-instance propositionalization},
author = {Quintero-Dom\^{i}nguez, L. A. and Morell, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065837971&doi=10.1007%2fs13748-019-00186-y&partnerID=40&md5=28ccbd3ac04d921ef9db3d5fce43c0ec},
doi = {10.1007/s13748-019-00186-y},
year = {2019},
date = {2019-01-01},
journal = {Progress in Artificial Intelligence},
volume = {8},
pages = {375-387},
keywords = {Multi-instance Learning, Propositionalization},
pubstate = {published},
tppubtype = {article}
}
|
Robles-Berumen, H; Zafra, A; Fardoun, H M; Ventura, S LEAC: An efficient library for clustering with evolutionary algorithms Journal Article Knowledge-Based Systems, 179 , pp. 117-119, 2019. Links | BibTeX | Tags: Clustering, Library, Software @article{Robles-Berumen2019117,
title = {LEAC: An efficient library for clustering with evolutionary algorithms},
author = {Robles-Berumen, H. and Zafra, A. and Fardoun, H. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065607555&doi=10.1016%2fj.knosys.2019.05.008&partnerID=40&md5=a3156dd2c7fb25491a1de72231850c47},
doi = {10.1016/j.knosys.2019.05.008},
year = {2019},
date = {2019-01-01},
journal = {Knowledge-Based Systems},
volume = {179},
pages = {117-119},
keywords = {Clustering, Library, Software},
pubstate = {published},
tppubtype = {article}
}
|
Hassan, S -U; Waheed, H; Aljohani, N R; Ali, M; Ventura, S; Herrera, F Virtual learning environment to predict withdrawal by leveraging deep learning Journal Article International Journal of Intelligent Systems, 34 , pp. 1935-1952, 2019. Links | BibTeX | Tags: Deep Learning, Educational Data Mining @article{Hassan20191935,
title = {Virtual learning environment to predict withdrawal by leveraging deep learning},
author = {Hassan, S.-U. and Waheed, H. and Aljohani, N. R. and Ali, M. and Ventura, S. and Herrera, F.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067978123&doi=10.1002%2fint.22129&partnerID=40&md5=650a0585882918f6f306f3f634f97569},
doi = {10.1002/int.22129},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Intelligent Systems},
volume = {34},
pages = {1935-1952},
keywords = {Deep Learning, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Del Río-Moreno, M; Alors-Pérez, E; González-Rubio, S; Ferrín, G; Reyes, O; Rodríguez-Perálvarez, M; Sánchez-Frías, M E; Sánchez-Sánchez, R; Ventura, S; López-Miranda, J; Kineman, R D; De La Mata, M; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease Journal Article Journal of Clinical Endocrinology and Metabolism, 104 , pp. 3389-3402, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{DelR\^{i}o-Moreno20193389,
title = {Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease},
author = {Del R\^{i}o-Moreno, M. and Alors-P'{e}rez, E. and Gonz\'{a}lez-Rubio, S. and Ferr\^{i}n, G. and Reyes, O. and Rodr\^{i}guez-Per\'{a}lvarez, M. and S\'{a}nchez-Fr\^{i}as, M. E. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and L\'{o}pez-Miranda, J. and Kineman, R. D. and De La Mata, M. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068565410&doi=10.1210%2fjc.2019-00021&partnerID=40&md5=af64fc02bdff1ee33d01d11edfd8c754},
doi = {10.1210/jc.2019-00021},
year = {2019},
date = {2019-01-01},
journal = {Journal of Clinical Endocrinology and Metabolism},
volume = {104},
pages = {3389-3402},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Padillo, F; Luna, J M; Ventura, S A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data Journal Article Cognitive Computation, 11 , pp. 331-346, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @article{Padillo2019331,
title = {A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060144183&doi=10.1007%2fs12559-018-9617-2&partnerID=40&md5=c8e2a8aa35eb60951983f3b45e2c0391},
doi = {10.1007/s12559-018-9617-2},
year = {2019},
date = {2019-01-01},
journal = {Cognitive Computation},
volume = {11},
pages = {331-346},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Luque, C; Luna, J M; Ventura, S MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 702-707, 2019. Links | BibTeX | Tags: Clinical Data Mining, Data Mining Software, Medical Data Mining, Software Design and Development @inproceedings{Luque2019702,
title = {MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge},
author = {Luque, C. and Luna, J. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071027757&doi=10.1109%2fCBMS.2019.00142&partnerID=40&md5=791c42a28a44152800f19e8cb56e9a41},
doi = {10.1109/CBMS.2019.00142},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {702-707},
keywords = {Clinical Data Mining, Data Mining Software, Medical Data Mining, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Osuna, J A; García-Martinez, C; Ventura, S; Barbadillo, J G Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 459-464, 2019. Links | BibTeX | Tags: Associative Classification, Cancer, Clinical Data Mining, Predictive Models @inproceedings{Delgado-Osuna2019459,
title = {Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Martinez, C. and Ventura, S. and Barbadillo, J. G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071025177&doi=10.1109%2fCBMS.2019.00095&partnerID=40&md5=e8e8d64cc515babe3d00aa9c5e930944},
doi = {10.1109/CBMS.2019.00095},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {459-464},
keywords = {Associative Classification, Cancer, Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Luque, R M; Castano, J; Ventura, S A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Inproceedings Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 120-125, 2019. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @inproceedings{Reyes2019120,
title = {A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and Luque, R. M. and Castano, J. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070981525&doi=10.1109%2fCBMS.2019.00035&partnerID=40&md5=9ab69988d7f1bd5a5aeaaa62facd6c1b},
doi = {10.1109/CBMS.2019.00035},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings - IEEE Symposium on Computer-Based Medical Systems},
volume = {2019-June},
pages = {120-125},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; García-Martínez, C; Ventura, S JCLEC-MO: A Java suite for solving many-objective optimization engineering problems Journal Article Engineering Applications of Artificial Intelligence, 81 , pp. 14-28, 2019. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development @article{Ram\^{i}rez201914,
title = {JCLEC-MO: A Java suite for solving many-objective optimization engineering problems},
author = {Ram\^{i}rez, A. and Romero, J. R. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061353423&doi=10.1016%2fj.engappai.2019.02.003&partnerID=40&md5=9c80a664414333edf2bce8464459ff74},
doi = {10.1016/j.engappai.2019.02.003},
year = {2019},
date = {2019-01-01},
journal = {Engineering Applications of Artificial Intelligence},
volume = {81},
pages = {14-28},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
Luque, C; Luna, J M; Luque, M; Ventura, S An advanced review on text mining in medicine Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 (3), pp. 1-16, 2019. Links | BibTeX | Tags: Clinical Data Mining, Medical Data Mining @article{Luque2019,
title = {An advanced review on text mining in medicine},
author = {Luque, C. and Luna, J. M. and Luque, M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/widm.1302},
doi = {10.1002/widm.1302},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
number = {3},
pages = {1-16},
keywords = {Clinical Data Mining, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance Journal Article IEEE Transactions on Learning Technologies, 12 , pp. 145-147, 2019. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{Romero2019145,
title = {Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance},
author = {Romero, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067366696&doi=10.1109%2fTLT.2019.2908106&partnerID=40&md5=4614c626c738b3d4caacf7227b39d326},
doi = {10.1109/TLT.2019.2908106},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Learning Technologies},
volume = {12},
pages = {145-147},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Maqsood, R; Ceravolo, P; Ventura, S Discovering students' engagement behaviors in confidence-based assessment Inproceedings IEEE Global Engineering Education Conference, EDUCON, pp. 841-846, 2019. Links | BibTeX | Tags: Educational Data Mining, Markov Models @inproceedings{Maqsood2019841,
title = {Discovering students' engagement behaviors in confidence-based assessment},
author = {Maqsood, R. and Ceravolo, P. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067490894&doi=10.1109%2fEDUCON.2019.8725161&partnerID=40&md5=958e2e0a53a6f04da1566e126c08eb85},
doi = {10.1109/EDUCON.2019.8725161},
year = {2019},
date = {2019-01-01},
booktitle = {IEEE Global Engineering Education Conference, EDUCON},
volume = {April-2019},
pages = {841-846},
keywords = {Educational Data Mining, Markov Models},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S A survey of many-objective optimisation in search-based software engineering Journal Article Journal of Systems and Software, 149 , pp. 382-395, 2019. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-objective Optimization, Search-based Software Engineering @article{Ram\^{i}rez2019382,
title = {A survey of many-objective optimisation in search-based software engineering},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0164121218302759},
doi = {10.1016/j.jss.2018.12.015},
year = {2019},
date = {2019-01-01},
journal = {Journal of Systems and Software},
volume = {149},
pages = {382-395},
keywords = {Evolutionary Algorithms, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Ventura, S Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network Journal Article International Journal of Neural Systems, 2019. Links | BibTeX | Tags: Deep Learning, Multi-target Regression @article{Reyes2019,
title = {Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network},
author = {Reyes, O. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067205599&doi=10.1142%2fS012906571950014X&partnerID=40&md5=0b6b7082baa454a67e58c550b748f547},
doi = {10.1142/S012906571950014X},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Neural Systems},
keywords = {Deep Learning, Multi-target Regression},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11538 LNCS , pp. 173-179, 2019. Links | BibTeX | Tags: Big Data, Multi-label Learning, Spark @article{Gonzalez-Lopez2019173,
title = {ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067787447&doi=10.1007%2f978-3-030-22744-9_13&partnerID=40&md5=422268786d29fffb303135f987aff6bb},
doi = {10.1007/978-3-030-22744-9_13},
year = {2019},
date = {2019-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11538 LNCS},
pages = {173-179},
keywords = {Big Data, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Padillo, F; Ventura, S Associative classification in big data through a G3P approach Inproceedings IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 94-102, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @inproceedings{Luna201994,
title = {Associative classification in big data through a G3P approach},
author = {Luna, J. M. and Padillo, F. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067468328&partnerID=40&md5=f405c88f8efd5438e37f26b8482455e8},
year = {2019},
date = {2019-01-01},
booktitle = {IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security},
pages = {94-102},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Ventura, S; Cano, A Speeding up classifier chains in multi-label classification Inproceedings IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 29-37, 2019. Links | BibTeX | Tags: Classification, Multi-label Learning, Scalability, Supervised Learning @inproceedings{Moyano201929,
title = {Speeding up classifier chains in multi-label classification},
author = {Moyano, J. M. and Gibaja, E. and Ventura, S. and Cano, A.},
url = {http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007614200290037},
year = {2019},
date = {2019-01-01},
booktitle = {IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security},
pages = {29-37},
keywords = {Classification, Multi-label Learning, Scalability, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article Interactive Learning Environments, pp. 1-13, 2019, ISBN: 17445191. Links | BibTeX | Tags: Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery @article{Luna2019b,
title = {Subgroup discovery in MOOCs: a big data application for describing different types of learners},
author = {Luna, J. M. and Fardoun, H. M. and Padillo, F. and Romero, C. and Ventura, S.},
url = {https://www.tandfonline.com/doi/abs/10.1080/10494820.2019.1643742},
doi = {10.1080/10494820.2019.1643742},
isbn = {17445191},
year = {2019},
date = {2019-01-01},
journal = {Interactive Learning Environments},
pages = {1-13},
keywords = {Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Cerezo, R; Bermúdez, M; Romero, C Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance Journal Article Journal of Computer Assisted Learning, 35 , pp. 110-120, 2019. Links | BibTeX | Tags: Educational Data Mining @article{Garc\^{i}a-Mart\^{i}nez2019110,
title = {Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Cerezo, R. and Berm\'{u}dez, M. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054059008&doi=10.1111%2fjcal.12316&partnerID=40&md5=e6605e9be95fe382b6e74928385021c7},
doi = {10.1111/jcal.12316},
year = {2019},
date = {2019-01-01},
journal = {Journal of Computer Assisted Learning},
volume = {35},
pages = {110-120},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Ferreira-Mello, R; André, M; Pinheiro, A; Costa, E; Romero, C Text mining in education Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019. Links | BibTeX | Tags: Educational Data Mining @article{Ferreira-Mello2019,
title = {Text mining in education},
author = {Ferreira-Mello, R. and Andr'{e}, M. and Pinheiro, A. and Costa, E. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070103688&doi=10.1002%2fwidm.1332&partnerID=40&md5=d3f9a5cbe1e308325da9293f3d9dee6b},
doi = {10.1002/widm.1332},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Cerezo, R; Calderón, V; Romero, C A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children Journal Article International Journal of Human Computer Studies, 124 , pp. 13-25, 2019. Links | BibTeX | Tags: Educational Data Mining @article{Cerezo201913,
title = {A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children},
author = {Cerezo, R. and Calder\'{o}n, V. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057173888&doi=10.1016%2fj.ijhcs.2018.11.009&partnerID=40&md5=0734f6d98d4314378ba189038b85da7b},
doi = {10.1016/j.ijhcs.2018.11.009},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Human Computer Studies},
volume = {124},
pages = {13-25},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Delgado-Pérez, P; Ferrer, J; Romero, J R; Medina-Bulo, I; Chicano, F Estado y evolución de la comunidad SBSE en España: un análisis bibliométrico Inproceedings XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19), 2019. Links | BibTeX | Tags: Search-based Software Engineering @inproceedings{RamirezJISBD19,
title = {Estado y evoluci\'{o}n de la comunidad SBSE en Espa\~{n}a: un an\'{a}lisis bibliom'{e}trico},
author = {Ram\^{i}rez, A. and Delgado-P'{e}rez, P. and Ferrer, J. and Romero, J. R. and Medina-Bulo, I. and Chicano, F.},
url = {hdl.handle.net/11705/JISBD/2019/046},
year = {2019},
date = {2019-01-01},
booktitle = {XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19)},
keywords = {Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Romero, J R; Ramírez, A; Simons, C Looking for novelty in SBSE problems Inproceedings XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19), 2019. Links | BibTeX | Tags: Search-based Software Engineering @inproceedings{RomeroJISBD19,
title = {Looking for novelty in SBSE problems},
author = {Romero, J. R. and Ram\^{i}rez, A. and Simons, C.},
url = {hdl.handle.net/11705/JISBD/2019/028},
year = {2019},
date = {2019-01-01},
booktitle = {XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19)},
keywords = {Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
López-Zambrano, J; Martinez, J A; Rojas, J; Romero, C A tool for preprocessing moodle data sets Inproceedings Proceedings of the 11th International Conference on Educational Data Mining, Buffalo, NY, USA, pp. 15–18, 2018. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @inproceedings{lopez2018toolb,
title = {A tool for preprocessing moodle data sets},
author = {L\'{o}pez-Zambrano, J. and Martinez, J. A. and Rojas, J. and Romero, C.},
url = {http://educationaldatamining.org/EDM2018/wp-content/uploads/sites/2/2018/07/EDM-Program-2018.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 11th International Conference on Educational Data Mining, Buffalo, NY, USA},
pages = {15--18},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luque, M; Arauzo-Azofra, A; Gata-Moreno, L; García-Hernández, L; Salas-Morera, L Algoritmos Coevolutivos para el Diseño de Distribucción en Planta Inproceedings 22nd International Congress on Project Management and Engineering, pp. 1075–1086, 2018. Links | BibTeX | Tags: Evolutionary Algorithms @inproceedings{luque2018algoritmos,
title = {Algoritmos Coevolutivos para el Dise\~{n}o de Distribucci\'{o}n en Planta},
author = {Luque, M. and Arauzo-Azofra, A. and Gata-Moreno, L. and Garc\^{i}a-Hern\'{a}ndez, L. and Salas-Morera, L.},
url = {http://dspace.aeipro.com/xmlui/bitstream/handle/123456789/1626/AT03-045_2018.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {22nd International Congress on Project Management and Engineering},
volume = {2},
pages = {1075--1086},
keywords = {Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Salado-Cid, R; Ramírez, A; Romero, J R On the need of opening the Big Data landscape to everyone: challenges and new trends Incollection Linnhoff-Popien, C; Schneider, R; Zaddach, M (Ed.): Digital Marketplaces Unleashed, pp. 675-687, Springer Berlin Heidelberg, Berlin, Heidelberg, 2018, ISBN: 978-3-662-49275-8. Links | BibTeX | Tags: Big Data Mining, Data Science, Scientific workflows @incollection{Salado-Cid-2018-DMU,
title = {On the need of opening the Big Data landscape to everyone: challenges and new trends},
author = {Salado-Cid, R. and Ram\^{i}rez, A. and Romero, J. R.},
editor = {Linnhoff-Popien, C. and Schneider, R. and Zaddach, M.},
url = {https://doi.org/10.1007/978-3-662-49275-8_60},
doi = {10.1007/978-3-662-49275-8_60},
isbn = {978-3-662-49275-8},
year = {2018},
date = {2018-01-01},
booktitle = {Digital Marketplaces Unleashed},
pages = {675-687},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
keywords = {Big Data Mining, Data Science, Scientific workflows},
pubstate = {published},
tppubtype = {incollection}
}
|
Reyes, O; Cano, A; Fardoun, H; Ventura, S A locally weighted learning method based on a data gravitation model for multi-target regression Journal Article International Journal of Computational Intelligence Systems, 11 (1), pp. 282-295, 2018. BibTeX | Tags: Multi-label Learning, Supervised Learning @article{2017-IJCIS,
title = {A locally weighted learning method based on a data gravitation model for multi-target regression},
author = {Reyes, O. and Cano, A. and Fardoun, H. and Ventura, S.},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {11},
number = {1},
pages = {282-295},
keywords = {Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A A survey on graphic processing unit computing for large-scale data mining Journal Article Wiley Interdisciplinary Reviews - Data Mining and Knowledge Discovery, 8 (1), pp. e1232, 2018. Links | BibTeX | Tags: Big Data Mining, Classification, GP-GPU, Scalability @article{2017-WIRES-GPUDM,
title = {A survey on graphic processing unit computing for large-scale data mining},
author = {Cano, A.},
url = {http://dx.doi.org/10.1002/widm.1232},
doi = {10.1002/widm.1232},
year = {2018},
date = {2018-01-01},
journal = {Wiley Interdisciplinary Reviews - Data Mining and Knowledge Discovery},
volume = {8},
number = {1},
pages = {e1232},
keywords = {Big Data Mining, Classification, GP-GPU, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Barbudo, R; Romero, J R; Ventura, S Aprendizaje automático con programación genética gramatical para la detección de patrones de diseño Inproceedings Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018), 2018. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development @inproceedings{Barbudo-2018-CAEPIA,
title = {Aprendizaje autom\'{a}tico con programaci\'{o}n gen'{e}tica gramatical para la detecci\'{o}n de patrones de dise\~{n}o},
author = {Barbudo, R. and Romero, J. R. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_114.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018)},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Padillo, F; M., Pechenizkiy; Ventura, S Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data Journal Article IEEE Trans. Cybernetics, 48 (10), pp. 2851–2865, 2018. Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark @article{LunaPPV18,
title = {Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data},
author = {Luna, J. M. and Padillo, F. and Pechenizkiy M. and Ventura, S.},
url = {https://doi.org/10.1109/TCYB.2017.2751081},
doi = {10.1109/TCYB.2017.2751081},
year = {2018},
date = {2018-01-01},
journal = {IEEE Trans. Cybernetics},
volume = {48},
number = {10},
pages = {2851--2865},
keywords = {Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; M., Pechenizkiy; del J., Jesus M; Ventura, S Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming Journal Article IEEE Trans. Cybernetics, 48 (11), pp. 3030–3044, 2018. Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Pattern Mining @article{LunaPJV18,
title = {Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming},
author = {Luna, J. M. and Pechenizkiy M. and del Jesus M. J. and Ventura, S.},
url = {https://doi.org/10.1109/TCYB.2017.2750919},
doi = {10.1109/TCYB.2017.2750919},
year = {2018},
date = {2018-01-01},
journal = {IEEE Trans. Cybernetics},
volume = {48},
number = {11},
pages = {3030--3044},
keywords = {Association Rule Mining, Grammar-Based Genetic Programming, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Ventura, S; Luna, J M Supervised Descriptive Pattern Mining Book Springer, 2018, ISBN: 978-3-319-98139-0. Links | BibTeX | Tags: Association Rule Mining, Pattern Mining, Subgroup Discovery @book{VenturaL18,
title = {Supervised Descriptive Pattern Mining},
author = {Ventura, S. and Luna, J. M.},
url = {https://doi.org/10.1007/978-3-319-98140-6},
doi = {10.1007/978-3-319-98140-6},
isbn = {978-3-319-98139-0},
year = {2018},
date = {2018-01-01},
publisher = {Springer},
keywords = {Association Rule Mining, Pattern Mining, Subgroup Discovery},
pubstate = {published},
tppubtype = {book}
}
|
Padillo, F; Luna, J M; F., Herrera; Ventura, S Mining association rules on Big Data through MapReduce genetic programming Journal Article Integrated Computer-Aided Engineering, 25 (1), pp. 31–48, 2018. Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark @article{PadilloLHV18,
title = {Mining association rules on Big Data through MapReduce genetic programming},
author = {Padillo, F. and Luna, J. M. and Herrera F. and Ventura, S.},
url = {https://doi.org/10.3233/ICA-170555},
doi = {10.3233/ICA-170555},
year = {2018},
date = {2018-01-01},
journal = {Integrated Computer-Aided Engineering},
volume = {25},
number = {1},
pages = {31--48},
keywords = {Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Barbudo, R; Romero, J R; Ventura, S Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos Inproceedings Conferencia de la Asociación Española para la Inteligencia Artificial - XI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018), 2018. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development @inproceedings{Ram\^{i}rez-2018-CAEPIA,
title = {Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_100.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial - XI Congreso Espa\~{n}ol sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018)},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J R; Ventura, S Interactive Multi-Objective Evolutionary Optimization of Software Architectures Journal Article Information Sciences, 463-464 , pp. 92-109, 2018, ISSN: 0020-0255. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering @article{Ram\^{i}rez-2018-INFSCI,
title = {Interactive Multi-Objective Evolutionary Optimization of Software Architectures},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2018.06.034},
doi = {10.1016/j.ins.2018.06.034},
issn = {0020-0255},
year = {2018},
date = {2018-01-01},
journal = {Information Sciences},
volume = {463-464},
pages = {92-109},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Romero, J R; Ventura, S API para el desarrollo de algoritmos interactivos en ingeniería del software basada en búsqueda Inproceedings XXIII Jornadas en Ingenieria del Software y Bases de Datos (JISBD'18), 2018. Links | BibTeX | Tags: Search-based Software Engineering, Software Design and Development @inproceedings{Ram\^{i}rez-2018-JISBD,
title = {API para el desarrollo de algoritmos interactivos en ingenier\^{i}a del software basada en b\'{u}squeda},
author = {Ram\^{i}rez, A. and Romero, J. R. and Ventura, S.},
url = {http://hdl.handle.net/11705/JISBD/2018/073},
year = {2018},
date = {2018-01-01},
booktitle = {XXIII Jornadas en Ingenieria del Software y Bases de Datos (JISBD'18)},
keywords = {Search-based Software Engineering, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Review of ensembles of multi-label classifiers: Models, experimental study and prospects Journal Article Information Fusion, 44 , pp. 33 - 45, 2018, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Multi-label Learning, Supervised Learning @article{Moyanoa2018a_INFFUS,
title = {Review of ensembles of multi-label classifiers: Models, experimental study and prospects},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253517307169},
doi = {10.1016/j.inffus.2017.12.001},
issn = {1566-2535},
year = {2018},
date = {2018-01-01},
journal = {Information Fusion},
volume = {44},
pages = {33 - 45},
keywords = {Classification, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Salado-Cid, R; Molino, J; Romero, J R Interoperabilidad de flujos de trabajo intensivos en datos en Industria 4.0: caso de estudio Inproceedings I Workshop en Aplicaciones de la Inteligencia Artificial para la Industria 4.0 (Industria 4.0 2018), pp. 1333-1338, 2018, ISBN: 978-84-09-05643-9. Links | BibTeX | Tags: Data Science, Scientific workflows @inproceedings{Salado-Cid2018-CAEPIA,
title = {Interoperabilidad de flujos de trabajo intensivos en datos en Industria 4.0: caso de estudio},
author = {Salado-Cid, R. and Molino, J. and Romero, J. R.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_166.pdf},
isbn = {978-84-09-05643-9},
year = {2018},
date = {2018-01-01},
booktitle = {I Workshop en Aplicaciones de la Inteligencia Artificial para la Industria 4.0 (Industria 4.0 2018)},
pages = {1333-1338},
keywords = {Data Science, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Skryjomski, P; Krawczyk, B; Cano, A Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs Journal Article Neurocomputing, In press , 2018. BibTeX | Tags: Classification, GP-GPU, Multi-label Learning, Scalability @article{b,
title = {Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs},
author = {Skryjomski, P. and Krawczyk, B. and Cano, A.},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {In press},
keywords = {Classification, GP-GPU, Multi-label Learning, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Djenouri, Y; Djenouri, D; Belhadi, A; Cano, A Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining Journal Article Information Sciences, In press , 2018. Links | BibTeX | Tags: GP-GPU, Pattern Mining, Scalability @article{2018-INS-GPU,
title = {Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining},
author = {Djenouri, Y. and Djenouri, D. and Belhadi, A. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.ins.2018.07.020},
doi = {10.1016/j.ins.2018.07.020},
year = {2018},
date = {2018-01-01},
journal = {Information Sciences},
volume = {In press},
keywords = {GP-GPU, Pattern Mining, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark Journal Article Future Generation Computer Systems, 87 , pp. 66-82, 2018. Links | BibTeX | Tags: Classification, Multi-label Learning, Spark @article{2018-FGCS-MLKNN,
title = {Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.future.2018.04.094},
doi = {10.1016/j.future.2018.04.094},
year = {2018},
date = {2018-01-01},
journal = {Future Generation Computer Systems},
volume = {87},
pages = {66-82},
keywords = {Classification, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Krawczyk, B; Cano, A Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams Journal Article Applied Soft Computing, 68 , pp. 677-692, 2018. Links | BibTeX | Tags: @article{2018-ASOC-ABSTAINING,
title = {Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams},
author = {Krawczyk, B. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.asoc.2017.12.008},
doi = {10.1016/j.asoc.2017.12.008},
year = {2018},
date = {2018-01-01},
journal = {Applied Soft Computing},
volume = {68},
pages = {677-692},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Melki, G; Kecman, V; Ventura, S; Cano, A OLLAWV: OnLine Learning Algorithm using Worst-Violators Journal Article Applied Soft Computing, 66 , pp. 384-393, 2018. Links | BibTeX | Tags: Classification @article{2018-ASOC-OLLAWV,
title = {OLLAWV: OnLine Learning Algorithm using Worst-Violators},
author = {Melki, G. and Kecman, V. and Ventura, S. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.asoc.2018.02.040},
doi = {10.1016/j.asoc.2018.02.040},
year = {2018},
date = {2018-01-01},
journal = {Applied Soft Computing},
volume = {66},
pages = {384-393},
keywords = {Classification},
pubstate = {published},
tppubtype = {article}
}
|
Melki, G; Cano, A; Ventura, S MIRSVM: Multi-Instance Support Vector Machine with Bag Representatives Journal Article Pattern Recognition, 79 , pp. 228-241, 2018. Links | BibTeX | Tags: Classification, Multi-instance Learning @article{2018-PR-MIRSVM,
title = {MIRSVM: Multi-Instance Support Vector Machine with Bag Representatives},
author = {Melki, G. and Cano, A. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.patcog.2018.02.007},
doi = {10.1016/j.patcog.2018.02.007},
year = {2018},
date = {2018-01-01},
journal = {Pattern Recognition},
volume = {79},
pages = {228-241},
keywords = {Classification, Multi-instance Learning},
pubstate = {published},
tppubtype = {article}
}
|
Roseberry, M; Cano, A Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams Inproceedings LIDTA@PKDD/ECML, 2018. BibTeX | Tags: Classification, Multi-label Learning @inproceedings{2018-LIDTA-ECML,
title = {Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams},
author = {Roseberry, M. and Cano, A.},
year = {2018},
date = {2018-01-01},
booktitle = {LIDTA@PKDD/ECML},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; Krawczyk, B Learning classification rules with differential evolution for high-speed data stream mining on GPUs Inproceedings IEEE Congress on Evolutionary Computation, pp. 197-204, 2018. BibTeX | Tags: Classification, Classification Rules, GP-GPU @inproceedings{2018-IEEE-CEC,
title = {Learning classification rules with differential evolution for high-speed data stream mining on GPUs},
author = {Cano, A. and Krawczyk, B.},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE Congress on Evolutionary Computation},
pages = {197-204},
keywords = {Classification, Classification Rules, GP-GPU},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Krawczyk, B; Cano, A; Wozniak, M Selecting local ensembles for multi-class imbalanced data classification Inproceedings International Joint Conference on Neural Networks, pp. 1848-1855, 2018. BibTeX | Tags: Classification @inproceedings{2018-IJCNN,
title = {Selecting local ensembles for multi-class imbalanced data classification},
author = {Krawczyk, B. and Cano, A. and Wozniak, M.},
year = {2018},
date = {2018-01-01},
booktitle = {International Joint Conference on Neural Networks},
pages = {1848-1855},
keywords = {Classification},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A Social Media and Machine Learning Book 1st, InTech, 2018, ISBN: 978-1-78984-028-5. BibTeX | Tags: Data Science @book{2018-BOOK-SMML,
title = {Social Media and Machine Learning},
author = {Cano, A.},
isbn = {978-1-78984-028-5},
year = {2018},
date = {2018-01-01},
publisher = {InTech},
edition = {1st},
keywords = {Data Science},
pubstate = {published},
tppubtype = {book}
}
|
Reyes, O; Moyano, J M; Rivero-Juarez, A; Luque, R M; Rivero, A; Castaño, J; Ventura, S Extracción de factores relevantes en el análisis de datos biomédicos: una metodología basada en técnicas de aprendizaje supervisado Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 861–866, 2018. Links | BibTeX | Tags: Medical Data Mining @inproceedings{Reyes2018d_CAEPIA,
title = {Extracci\'{o}n de factores relevantes en el an\'{a}lisis de datos biom'{e}dicos: una metodolog\^{i}a basada en t'{e}cnicas de aprendizaje supervisado},
author = {Reyes, O. and Moyano, J. M. and Rivero-Juarez, A. and Luque, R. M. and Rivero, A. and Casta\~{n}o, J. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_156.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {861--866},
keywords = {Medical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Moyano, J M; Luna, J M; Ventura, S Resolviendo el problema de regresión multi-salida mediante Gene Expression Programming Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 907–912, 2018. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning @inproceedings{Reyes2018c_CAEPIA,
title = {Resolviendo el problema de regresi\'{o}n multi-salida mediante Gene Expression Programming},
author = {Reyes, O. and Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_103.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA 2018},
pages = {907--912},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|