2021
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Ramírez, A; Moreno, N; Vallecillo, A Rule-based preprocessing for data stream mining using complex event processing Journal Article Expert Systems, 38 (8), pp. e12762, 2021. Links | BibTeX | Tags: Classification, Data Preprocessing, Supervised Learning @article{ramirez2021rule,
title = {Rule-based preprocessing for data stream mining using complex event processing},
author = {Ram\^{i}rez, A. and Moreno, N. and Vallecillo, A.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.12762},
doi = {10.1111/exsy.12762},
year = {2021},
date = {2021-01-01},
journal = {Expert Systems},
volume = {38},
number = {8},
pages = {e12762},
publisher = {Wiley Online Library},
keywords = {Classification, Data Preprocessing, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Delgado-Pérez, P; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Interactivity in the Generation of Test Cases with Evolutionary Computation Inproceedings 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2395–2402, IEEE 2021. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2021interactivity,
title = {Interactivity in the Generation of Test Cases with Evolutionary Computation},
author = {Ram\^{i}rez, A. and Delgado-P'{e}rez, P. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
url = {https://ieeexplore.ieee.org/document/9504786},
doi = {10.1109/CEC45853.2021.9504786},
year = {2021},
date = {2021-01-01},
booktitle = {2021 IEEE Congress on Evolutionary Computation (CEC)},
pages = {2395--2402},
organization = {IEEE},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Ventura, S; Romero, J R Método XAI basado en agrupamiento para la explicación de errores en clasificación Inproceedings XIX Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial (CAEPIA), pp. 35-40, 2021. BibTeX | Tags: Classification, Clustering, Explainable Artificial Intelligence @inproceedings{ramirez2021caepia,
title = {M'{e}todo XAI basado en agrupamiento para la explicaci\'{o}n de errores en clasificaci\'{o}n},
author = {Ram\^{i}rez, A. and Ventura, S. and Romero, J. R.},
year = {2021},
date = {2021-01-01},
booktitle = {XIX Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial (CAEPIA)},
pages = {35-40},
keywords = {Classification, Clustering, Explainable Artificial Intelligence},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Romero, J R; Barbudo, R; Ramírez, A; Servant, F Detección de patrones de diseño con GEML: discusión y enfoque práctico Inproceedings XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD), 2021. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering @inproceedings{romero2021jisbd,
title = {Detecci\'{o}n de patrones de dise\~{n}o con GEML: discusi\'{o}n y enfoque pr\'{a}ctico},
author = {Romero, J. R. and Barbudo, R. and Ram\^{i}rez, A. and Servant, F.},
url = {https://hdl.handle.net/11705/JISBD/2021/058},
year = {2021},
date = {2021-01-01},
booktitle = {XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD)},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Mejora de la legibilidad en la generación de casos de prueba mediante búsqueda interactiva Inproceedings XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD), 2021. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2021jisbd,
title = {Mejora de la legibilidad en la generaci\'{o}n de casos de prueba mediante b\'{u}squeda interactiva},
author = {Delgado-P'{e}rez, P. and Ram\^{i}rez, A. and Valle-G\'{o}mez, K. J. and Medina-Bulo, I. and Romero, J. R.},
url = {https://hdl.handle.net/11705/JISBD/2021/022},
year = {2021},
date = {2021-01-01},
booktitle = {XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD)},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2020
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López-Zambrano, J; Lara, J; Romero, C Towards Portability of Models for Predicting Students Final Performance in University Courses Starting from Moodle Logs Journal Article Applied Sciences, 10 (1), pp. 354, 2020. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @article{lopez2020towardsb,
title = {Towards Portability of Models for Predicting Students Final Performance in University Courses Starting from Moodle Logs},
author = {L\'{o}pez-Zambrano, J. and Lara, J. and Romero, C.},
url = {https://www.mdpi.com/2076-3417/10/1/354},
doi = {10.3390/app10010354},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {1},
pages = {354},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Delgado-Pérez, P; Ferrer, J; Romero, J R; Medina-Bulo, I; Chicano, F A systematic literature review of the SBSE research community in Spain Journal Article Progress in Artificial Intelligence, In Press , 2020, ISSN: 2192-6360. Links | BibTeX | Tags: Search-based Software Engineering @article{Ramirez-2020-PRAI,
title = {A systematic literature review of the SBSE research community in Spain},
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 = {https://link.springer.com/article/10.1007/s13748-020-00205-3},
doi = {10.1007/s13748-020-00205-3},
issn = {2192-6360},
year = {2020},
date = {2020-01-01},
journal = {Progress in Artificial Intelligence},
volume = {In Press},
keywords = {Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Hassan, S U; Aljohani, N R; Idrees, N; Sarwar, R; Nawaz, R; Martínez-Cámara, E; Ventura, S; Herrera, F Predicting literature's early impact with sentiment Analysis in Twitter Journal Article Knowledge-Based Systems, 192 , pp. 1–10, 2020, ISSN: 09507051. Links | BibTeX | Tags: Predictive Models @article{Hassan2020,
title = {Predicting literature's early impact with sentiment Analysis in Twitter},
author = {Hassan, S. U. and Aljohani, N. R. and Idrees, N. and Sarwar, R. and Nawaz, R. and Mart\^{i}nez-C\'{a}mara, E. and Ventura, S. and Herrera, F.},
url = {https://www.sciencedirect.com/science/article/pii/S095070511930629X},
doi = {10.1016/j.knosys.2019.105383},
issn = {09507051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {192},
pages = {1--10},
keywords = {Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Luque, C; Luna, J M; Ventura, S A semantically enriched text mining system for clinical decision support Journal Article Computational Intelligence, pp. 1–26, 2020. Links | BibTeX | Tags: Clinical Data Mining, Predictive Models @article{Luque2020,
title = {A semantically enriched text mining system for clinical decision support},
author = {Luque, C. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12322?af=R&utm_source=researcher_app&utm_medium=referral&utm_campaign=RESR_MRKT_Researcher_inbound},
doi = {10.1111/coin.12322},
year = {2020},
date = {2020-01-01},
journal = {Computational Intelligence},
pages = {1--26},
keywords = {Clinical Data Mining, Predictive Models},
pubstate = {published},
tppubtype = {article}
}
|
Jiménez-Vacas, J M; Herrero-Aguayo, V; Montero-Hidalgo, A J; Gómez-Gómez, E; Fuentes-Fayos, A C; León-González, A J; Sáez-Martínez, P; Alors-Pérez, E; Pedraza-Arévalo, S; González-Serrano, T; Reyes, O; Martínez-López, A; Sánchez-Sánchez, R; Ventura, S; Yubero-Serrano, E M; Requena-Tapia, M J; Castaño, J P; Gahete, M D; Luque, R M Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer Journal Article EBioMedicine, 51 , pp. 1–13, 2020, ISSN: 23523964. Links | BibTeX | Tags: Cancer, Medical Data Mining @article{Jimenez-Vacas2020,
title = {Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer},
author = {Jim'{e}nez-Vacas, J. M. and Herrero-Aguayo, V. and Montero-Hidalgo, A. J. and G\'{o}mez-G\'{o}mez, E. and Fuentes-Fayos, A. C. and Le\'{o}n-Gonz\'{a}lez, A. J. and S\'{a}ez-Mart\^{i}nez, P. and Alors-P'{e}rez, E. and Pedraza-Ar'{e}valo, S. and Gonz\'{a}lez-Serrano, T. and Reyes, O. and Mart\^{i}nez-L\'{o}pez, A. and S\'{a}nchez-S\'{a}nchez, R. and Ventura, S. and Yubero-Serrano, E. M. and Requena-Tapia, M. J. and Casta\~{n}o, J. P. and Gahete, M. D. and Luque, R. M.},
url = {https://www.sciencedirect.com/science/article/pii/S2352396419307492},
doi = {10.1016/j.ebiom.2019.11.008},
issn = {23523964},
year = {2020},
date = {2020-01-01},
journal = {EBioMedicine},
volume = {51},
pages = {1--13},
keywords = {Cancer, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Padillo, F; Luna, J M; Ventura, S LAC: Library for associative classification Journal Article Knowledge-Based Systems, 193 , pp. 1–3, 2020, ISSN: 09507051. Links | BibTeX | Tags: Association Rule Mining, Associative Classification, Data Mining Software @article{Padillo2020,
title = {LAC: Library for associative classification},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705119306586},
doi = {10.1016/j.knosys.2019.105432},
issn = {09507051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {193},
pages = {1--3},
keywords = {Association Rule Mining, Associative Classification, Data Mining Software},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Osuna, J A; García-Martínez, C; Gómez-Barbadillo, J; Ventura, S Heuristics for interesting class association rule mining a colorectal cancer database Journal Article Information Processing and MA.gement, 57 (3), pp. 1–15, 2020, ISSN: 03064573. Links | BibTeX | Tags: Association Rule Mining, Cancer, Medical Data Mining @article{Delgado-Osuna2020a,
title = {Heuristics for interesting class association rule mining a colorectal cancer database},
author = {Delgado-Osuna, J. A. and Garc\^{i}a-Mart\^{i}nez, C. and G\'{o}mez-Barbadillo, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0306457319313123},
doi = {10.1016/j.ipm.2020.102207},
issn = {03064573},
year = {2020},
date = {2020-01-01},
journal = {Information Processing and MA.gement},
volume = {57},
number = {3},
pages = {1--15},
keywords = {Association Rule Mining, Cancer, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
García-Martínez, C; Ventura, S Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt. Journal Article International Journal of Computational Intelligence Systems, 13 (1), pp. 576-590, 2020. Links | BibTeX | Tags: Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning @article{Garcia2020,
title = {Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt.},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/125940875},
year = {2020},
date = {2020-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {13},
number = {1},
pages = {576-590},
keywords = {Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Esteban, A; Zafra, A; Romero, C Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization Journal Article Knowledge-Based Systems, 194 , pp. 105385, 2020. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems, Genetic Algorithms, Metaheuristics @article{Esteban2020,
title = {Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization},
author = {Esteban, A. and Zafra, A. and Romero, C.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705119306306},
doi = {10.1016/j.knosys.2019.105385},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {194},
pages = {105385},
publisher = {Elsevier},
keywords = {Educational Data Mining, Educational Recommender Systems, Genetic Algorithms, Metaheuristics},
pubstate = {published},
tppubtype = {article}
}
|
Hassan, S; Aljohani, N; Shabbir, M; Ali, U; Iqbal, S; Sarwar, R; Martínez-Cámara, E; Ventura, S; Herrera, F Tweet Coupling: a social media methodology for clustering scientific publications Journal Article Scientometrics, pp. 1-19, 2020. Links | BibTeX | Tags: Clustering, Data Science, Unsupervised Learning @article{Hassan2020bb,
title = {Tweet Coupling: a social media methodology for clustering scientific publications},
author = {Hassan, S. and Aljohani, N. and Shabbir, M. and Ali, U. and Iqbal, S. and Sarwar, R. and Mart\^{i}nez-C\'{a}mara, E. and Ventura, S. and Herrera, F.},
url = {https://link.springer.com/content/pdf/10.1007/s11192-020-03499-1.pdf},
year = {2020},
date = {2020-01-01},
journal = {Scientometrics},
pages = {1-19},
publisher = {Springer},
keywords = {Clustering, Data Science, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Fayos, A; Vázquez-Borrego, M; Jiménez-Vacas, J; Bejarano, L; Pedraza-Arévalo, S; Blanco-Acevedo, C; Sánchez-Sánchez, R; Reyes, O; Ventura, S; Solivera, S; Breunig, J; Blasco, M; Gahete, M; Castaño, J; Luque, R Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 Journal Article Brain, 2020. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{FuentesFayos2020,
title = {Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3},
author = {Fuentes-Fayos, A. and V\'{a}zquez-Borrego, M. and Jim'{e}nez-Vacas, J. and Bejarano, L. and Pedraza-Ar'{e}valo, S. and Blanco-Acevedo, C. and S\'{a}nchez-S\'{a}nchez, R. and Reyes, O. and Ventura, S. and Solivera, S. and Breunig, J. and Blasco, M. and Gahete, M. and Casta\~{n}o, J. and Luque, R.},
url = {https://academic.oup.com/brain/advance-article-abstract/doi/10.1093/brain/awaa273/5952721},
year = {2020},
date = {2020-01-01},
journal = {Brain},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Fournier-Viger, P; Wang, Y; Chun-Wei Lin, J; Luna, J M; Ventura, S Mining cross-level high utility itemsets Inproceedings pp. 858-871, Springer, Cham, 2020. Links | BibTeX | Tags: Data Science, Pattern Mining @inproceedings{Fournier2020,
title = {Mining cross-level high utility itemsets},
author = {Fournier-Viger, P. and Wang, Y. and Chun-Wei Lin, J. and Luna, J. M. and Ventura, S.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-55789-8_73},
year = {2020},
date = {2020-01-01},
pages = {858-871},
publisher = {Springer, Cham},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article Artificial Intelligence in Medicine, 108 , pp. 101950, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis @article{Reyes2020,
title = {A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and P'{e}rez, E. and Luque, R. and Casta\~{n}o, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0933365719312187},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {108},
pages = {101950},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Fournier-Viger, P; Ventura, S Extracting user-centric knowledge on two different spaces: Concepts and records Journal Article IEEE Access, 8 , pp. 134782-134799, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020,
title = {Extracting user-centric knowledge on two different spaces: Concepts and records},
author = {Luna, J. M. and Fournier-Viger, P. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9145755/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {134782-134799},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Quintero-Domínguez, L; Morell, C; Ventura, S A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming Journal Article Expert Systems with Applications, pp. 114263, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming @article{Quintero2020,
title = {A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming},
author = {Quintero-Dom\^{i}nguez, L. and Morell, C. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S095741742030974X},
year = {2020},
date = {2020-01-01},
journal = {Expert Systems with Applications},
pages = {114263},
publisher = {Pergamon},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Pechenizkiy, M; Duivesteijn, W; Ventura, S Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios Journal Article IEEE Access, 8 , pp. 200982-200994, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020b,
title = {Exceptional in so Many Ways{\textemdash}Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios},
author = {Luna, J. M. and Pechenizkiy, M. and Duivesteijn, W. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9245545/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {200982-200994},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Reyes, O; Ventura, S Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article Medical image analysis, 67 , pp. 101858, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis @article{Perez2020,
title = {Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S136184152030222X},
year = {2020},
date = {2020-01-01},
journal = {Medical image analysis},
volume = {67},
pages = {101858},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S Trends the use of Artificial Intelligence techniques for peer assessment Inproceedings pp. 1-7, 2020. Links | BibTeX | Tags: Data Science @inproceedings{Bowen2020,
title = {Trends the use of Artificial Intelligence techniques for peer assessment},
author = {Bowen-Mendoza, L. and Pinargote-Ortega, M. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410837},
year = {2020},
date = {2020-01-01},
pages = {1-7},
keywords = {Data Science},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pinargote-Ortega, M; Bowen-Mendoza, L; Meza, J; Ventura, S Accuracy Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment Inproceedings pp. 1-7, 2020. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @inproceedings{Pinargote2020,
title = {Accuracy Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment},
author = {Pinargote-Ortega, M. and Bowen-Mendoza, L. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410838},
year = {2020},
date = {2020-01-01},
pages = {1-7},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mero, K; Meza, J; Ventura, S Artificial intelligence and its impact on the prediction of economic indicators Inproceedings pp. 1-8, 2020. Links | BibTeX | Tags: Data Science, Other @inproceedings{Mero2020,
title = {Artificial intelligence and its impact on the prediction of economic indicators},
author = {Mero, K. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410827},
year = {2020},
date = {2020-01-01},
pages = {1-8},
keywords = {Data Science, Other},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Esteban, A; Zafra, A; Ventura, S A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning Inproceedings pp. 1-8, IEEE, 2020. Links | BibTeX | Tags: Multi-instance Learning, Unsupervised Learning @inproceedings{Esteban2020b,
title = {A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning},
author = {Esteban, A. and Zafra, A. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9185588/},
year = {2020},
date = {2020-01-01},
pages = {1-8},
publisher = {IEEE},
keywords = {Multi-instance Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cachi, P; Ventura, S; Cios, K J Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization Inproceedings pp. 773-786, Springer, Cham, 2020. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @inproceedings{Cachi2020,
title = {Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization},
author = {Cachi, P. and Ventura, S. and Cios, K. J.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-50153-2_57},
year = {2020},
date = {2020-01-01},
pages = {773-786},
publisher = {Springer, Cham},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rafferty, A; Whitehill, J; Romero, C; Cavalli-Sforza, V Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020). Journal Article International Educational Data Mining Society, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Rafferty2020,
title = {Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020).},
author = {Rafferty, A. and Whitehill, J. and Romero, C. and Cavalli-Sforza, V.},
url = {https://eric.ed.gov/?id=ED607784},
year = {2020},
date = {2020-01-01},
journal = {International Educational Data Mining Society},
publisher = {International Educational Data Mining Society},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Paquette, L; Romero, C Joint Proceedings of the EDM 2019 Workshops Inproceedings CEUR-WS, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @inproceedings{Paquette2020,
title = {Joint Proceedings of the EDM 2019 Workshops},
author = {Paquette, L. and Romero, C.},
url = {http://ceur-ws.org/Vol-2592/xpreface.pdf},
year = {2020},
date = {2020-01-01},
journal = {CEUR Workshop Proceedings},
volume = {2592},
publisher = {CEUR-WS},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Carlos, Xabier De; Sagardui, Goiuria; Trujillo, Salvador; Perkaz, Alain; Cañizo, Mikel; Iglesias, Aitziber; Salazar-Álvarez, Juan-Pablo; Gómez-Martínez, Elena; de Miguel, Miguel; Salado-Cid, R; Romero, J R; Cuevas, César; Martínez, Patricia López; Drake, Jose M; de Vega, Alfonso La; García-Saiz, Diego; Zorrilla, Marta; Sanchez, Pablo; Boubeta-Puig, Juan; Hernández, Juan; Moguel, Enrique; Preciado, Juan Carlos; Sánchez-Figueroa, Fernando; Troya, Javier; Segura, Sergio; Ruiz-Cortés, Antonio; Vara, Juan M; Castro, Valeria De; Granada, David; Marcos, Esperanza; Cuadrado, Jesús Sánchez; Guerra, Esther; Lara, Juan De; Gómez-Llana, Abel; Meseguer, José; Bruneliere, Hugo; Cabot, Jordi; Izquierdo, Javier Luis Cánovas; Arrieta, Leire Orue-Echevarria; Strauss, Oliver Desarrollo de Software Dirigido por Modelos Journal Article XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 198, 2020. Links | BibTeX | Tags: Data Science, Software, Software Design and Development @article{ISBD2020,
title = {Desarrollo de Software Dirigido por Modelos},
author = {Xabier De Carlos and Goiuria Sagardui and Salvador Trujillo and Alain Perkaz and Mikel Ca\~{n}izo and Aitziber Iglesias and Juan-Pablo Salazar-\'{A}lvarez and Elena G\'{o}mez-Mart\^{i}nez and Miguel de Miguel and Salado-Cid, R. and Romero, J. R. and C'{e}sar Cuevas and Patricia L\'{o}pez Mart\^{i}nez and Jose M Drake and Alfonso de La Vega and Diego Garc\^{i}a-Saiz and Marta Zorrilla and Pablo Sanchez and Juan Boubeta-Puig and Juan Hern\'{a}ndez and Enrique Moguel and Juan Carlos Preciado and Fernando S\'{a}nchez-Figueroa and Javier Troya and Sergio Segura and Antonio Ruiz-Cort'{e}s and Juan M Vara and Valeria De Castro and David Granada and Esperanza Marcos and Jes\'{u}s S\'{a}nchez Cuadrado and Esther Guerra and Juan De Lara and Abel G\'{o}mez-Llana and Jos'{e} Meseguer and Hugo Bruneliere and Jordi Cabot and Javier Luis C\'{a}novas Izquierdo and Leire Orue-Echevarria Arrieta and Oliver Strauss},
url = {http://books.google.com/books?hl=en&lr=&id=MAv0DwAAQBAJ&oi=fnd&pg=PA198&dq=info:ABSWjwekOFkJ:scholar.google.com&ots=lmZwla0kHR&sig=V4eTU2_Zg68m6ws6L9SfUUGnELM},
year = {2020},
date = {2020-01-01},
journal = {XXI Jornadas de Ingenier\^{i}a del Software y Bases de Datos},
volume = {219},
pages = {198},
publisher = {Ediciones Universidad de Salamanca},
keywords = {Data Science, Software, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
Verdecia-Cabrera, A; Frías-Blanco, I; Quintero-Domínguez, L; Rodríguez Sarabia, Y Aprendiendo con meta-clasificadores a partir de flujos de datos no estacionarios Journal Article Revista Cubana de Ciencias Informáticas, 14 (4), pp. 20-33, 2020. BibTeX | Tags: Data Science, Other, Semi-supervised Learning @article{Verdecia2020,
title = {Aprendiendo con meta-clasificadores a partir de flujos de datos no estacionarios},
author = {Verdecia-Cabrera, A. and Fr\^{i}as-Blanco, I. and Quintero-Dom\^{i}nguez, L. and Rodr\^{i}guez Sarabia, Y.},
year = {2020},
date = {2020-01-01},
journal = {Revista Cubana de Ciencias Inform\'{a}ticas},
volume = {14},
number = {4},
pages = {20-33},
keywords = {Data Science, Other, Semi-supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming Inproceedings 2020 IEEE Congress on Evolutionary Computation, CEC 2020, pp. 1-8, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020c_CEC,
title = {Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9185661},
doi = {10.1109/CEC48606.2020.9185661},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE Congress on Evolutionary Computation, CEC 2020},
pages = {1-8},
keywords = {Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms Inproceedings 24th European Conference on Artificial Intelligence, ECAI 2020, pp. 497, 2020. Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano:2020b_ECAI,
title = {Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://ecai2020.eu/papers/497_paper.pdf},
doi = {10.3233/FAIA200242},
year = {2020},
date = {2020-01-01},
booktitle = {24th European Conference on Artificial Intelligence, ECAI 2020},
pages = {497},
keywords = {Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Paquette, L; Ocumpaugh, J; Li, Z; Andres, A; Baker, R Who's Learning? Using Demographics in EDM Research. Journal Article Journal of Educational Data Mining, 12 (3), pp. 1–30, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{paquette2020s,
title = {Who's Learning? Using Demographics in EDM Research.},
author = {Paquette, L. and Ocumpaugh, J. and Li, Z. and Andres, A. and Baker, R.},
doi = {10.5281/zenodo.4143612},
year = {2020},
date = {2020-01-01},
journal = {Journal of Educational Data Mining},
volume = {12},
number = {3},
pages = {1--30},
publisher = {ERIC},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed multi-label feature selection using individual mutual information measures Journal Article Knowledge-Based Systems, 188 , pp. 1-13, 2020. Links | BibTeX | Tags: Feature Selection, Multi-label Learning @article{Gonzalez-Lopez2019,
title = {Distributed multi-label feature selection using individual mutual information measures},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705119304459},
doi = {10.1016/j.knosys.2019.105052},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {188},
pages = {1-13},
keywords = {Feature Selection, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Cerezo, R; Bogarín, A; Esteban, M; Romero, C Process mining for self-regulated learning assessment in e-learning Journal Article Journal of Computing in Higher Education, 32 (1), pp. 74–88, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Cerezo2019,
title = {Process mining for self-regulated learning assessment in e-learning},
author = {Cerezo, R. and Bogar\^{i}n, A. and Esteban, M. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065723072&doi=10.1007%2fs12528-019-09225-y&partnerID=40&md5=41a84fb041b9ccda8a0652b5732d811b},
doi = {10.1007/s12528-019-09225-y},
year = {2020},
date = {2020-01-01},
journal = {Journal of Computing in Higher Education},
volume = {32},
number = {1},
pages = {74--88},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms Journal Article Knowledge-Based Systems, 196 , pp. 105770, 2020, ISSN: 0950-7051. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyano:2020a_KBS,
title = {Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0950705120301726},
doi = {10.1016/j.knosys.2020.105770},
issn = {0950-7051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {196},
pages = {105770},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Educational data mining and learning analytics: An updated survey Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1355, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance @article{romero2020educational,
title = {Educational data mining and learning analytics: An updated survey},
author = {Romero, C. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/widm.1355},
doi = {10.1002/widm.1355},
year = {2020},
date = {2020-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1355},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Reyes, O; Pérez, E; Ventura, S Performing melanoma diagnosis by an effective convolutional architecture Inproceedings Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019, pp. 4, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{Reyes2019d,
title = {Performing melanoma diagnosis by an effective convolutional architecture},
author = {Reyes, O. and P'{e}rez, E. and Ventura, S.},
year = {2019},
date = {2019-08-01},
booktitle = {Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019},
pages = {4},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pérez, E; Reyes, O; Ventura, S Automatic melanoma diagnosis: a review Inproceedings VII Scientific Congress of Researchers of the University of Cordoba, Spain, 2019. BibTeX | Tags: Deep Learning, Melanoma Diagnosis @inproceedings{UCO_Perez2019,
title = {Automatic melanoma diagnosis: a review},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
year = {2019},
date = {2019-02-01},
booktitle = {VII Scientific Congress of Researchers of the University of Cordoba},
address = {Spain},
keywords = {Deep Learning, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Espejo, P G; Gibaja, E; Menéndez, V H; Zapata, A; Romero, C Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information Journal Article Journal of Universal Computer Science, 25 (13), pp. 1687–1716, 2019. Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems @article{espejo2019improving,
title = {Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information},
author = {Espejo, P. G. and Gibaja, E. and Men'{e}ndez, V. H. and Zapata, A. and Romero, C.},
url = {http://www.jucs.org/doi?doi=10.3217/jucs-025-13-1687},
doi = {10.3217/jucs-025-13-1687},
year = {2019},
date = {2019-01-01},
journal = {Journal of Universal Computer Science},
volume = {25},
number = {13},
pages = {1687--1716},
keywords = {Educational Data Mining, Educational Recommender Systems},
pubstate = {published},
tppubtype = {article}
}
|
Chango W., Cerezo R; Romero, C Predicting academic performance of university students from multi-sources data in blended learning Inproceedings Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pp. 1–5, 2019. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{chango2019predictingb,
title = {Predicting academic performance of university students from multi-sources data in blended learning},
author = {Chango, W., Cerezo, R. and Romero, C.},
url = {https://dl.acm.org/doi/10.1145/3368691.3368694},
doi = {10.1145/3368691.3368694},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems},
pages = {1--5},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Ventura, S Evaluating associative classification algorithms for Big Data Journal Article Big Data Analytics, 4 (2), pp. 1–27, 2019, ISSN: 2058-6345. Links | BibTeX | Tags: Associative Classification, Big Data @article{Padillo2019,
title = {Evaluating associative classification algorithms for Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://link.springer.com/article/10.1186/s41044-018-0039-7},
doi = {10.1186/s41044-018-0039-7},
issn = {2058-6345},
year = {2019},
date = {2019-01-01},
journal = {Big Data Analytics},
volume = {4},
number = {2},
pages = {1--27},
keywords = {Associative Classification, Big Data},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Carmona, C J; García-Vico, A M; {Del Jesus}, M J; Ventura, S Subgroup discovery on multiple instance data Journal Article International Journal of Computational Intelligence Systems, 12 (2), pp. 1602–1612, 2019, ISSN: 18756883. Links | BibTeX | Tags: Metaheuristics, Multi-instance Learning, Pattern Mining, Subgroup Discovery @article{Luna2019bb,
title = {Subgroup discovery on multiple instance data},
author = {Luna, J. M. and Carmona, C. J. and Garc\^{i}a-Vico, A. M. and {Del Jesus}, M. J. and Ventura, S.},
url = {https://www.atlantis-press.com/journals/ijcis/125927212/view},
doi = {10.2991/ijcis.d.191213.001},
issn = {18756883},
year = {2019},
date = {2019-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {12},
number = {2},
pages = {1602--1612},
keywords = {Metaheuristics, Multi-instance Learning, Pattern Mining, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information Journal Article IEEE Transactions on Neural Networks and Learning Systems, pp. 1–14, 2019, ISSN: 2162-237X. Links | BibTeX | Tags: Feature Selection, Multi-label Learning @article{Gonzalez-Lopez2019b,
title = {Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://ieeexplore.ieee.org/abstract/document/8877992},
doi = {10.1109/tnnls.2019.2944298},
issn = {2162-237X},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
pages = {1--14},
keywords = {Feature Selection, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Arauzo-Azofra, A; Jiménez-Vílchez, A; Molina-Baena, J; Luque, M Algorithmic cache of sorted tables for feature selection Journal Article Data Mining and Knowledge Discovery, 33 (4), pp. 964–994, 2019. Links | BibTeX | Tags: Feature Selection @article{arauzo2019algorithmic,
title = {Algorithmic cache of sorted tables for feature selection},
author = {Arauzo-Azofra, A. and Jim'{e}nez-V\^{i}lchez, A. and Molina-Baena, J. and Luque, M.},
url = {https://link.springer.com/article/10.1007/s10618-019-00620-8},
year = {2019},
date = {2019-01-01},
journal = {Data Mining and Knowledge Discovery},
volume = {33},
number = {4},
pages = {964--994},
publisher = {Springer doi = 10.1007/s10618-019-00620-8},
keywords = {Feature Selection},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Romero, J R; Simons, C L A Systematic Review of Interaction in Search-Based Software Engineering Journal Article IEEE Transactions on Software Engineering, 45 (8), pp. 760-781, 2019, ISSN: 0098-5589. Links | BibTeX | Tags: Search-based Software Engineering @article{Ram\^{i}rez-2018-TSE,
title = {A Systematic Review of Interaction in Search-Based Software Engineering},
author = {Ram\^{i}rez, A. and Romero, J. R. and Simons, C. L.},
url = {https://ieeexplore.ieee.org/document/8283568},
doi = {10.1109/TSE.2018.2803055},
issn = {0098-5589},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Software Engineering},
volume = {45},
number = {8},
pages = {760-781},
keywords = {Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cios, K J; Ventura, S An evolutionary approach to build ensembles of multi-label classifiers Journal Article Information Fusion, 50 , pp. 168-180, 2019, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @article{Moyanoa2018b_INFFUS,
title = {An evolutionary approach to build ensembles of multi-label classifiers},
author = {Moyano, J. M. and Gibaja, E. and Cios, K. J. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253518302574},
doi = {10.1016/j.inffus.2018.11.013},
issn = {1566-2535},
year = {2019},
date = {2019-01-01},
journal = {Information Fusion},
volume = {50},
pages = {168-180},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Fournier-Viger, P; Ventura, S Frequent itemset mining: A 25 years review Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019. Links | BibTeX | Tags: Data Science, Pattern Mining @article{Luna2019,
title = {Frequent itemset mining: A 25 years review},
author = {Luna, J. M. and Fournier-Viger, P. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069672401&doi=10.1002%2fwidm.1329&partnerID=40&md5=3475dfa9e7dc458a2490f506a432a0a9},
doi = {10.1002/widm.1329},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Abouzid, H; Chakkor, O; Reyes, O; Ventura, S Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning Journal Article Analog Integrated Circuits and Signal Processing, 100 , pp. 501-512, 2019. Links | BibTeX | Tags: Deep Learning @article{Abouzid2019501,
title = {Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning},
author = {Abouzid, H. and Chakkor, O. and Reyes, O. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064177534&doi=10.1007%2fs10470-019-01446-6&partnerID=40&md5=c1fe7249e0b4a421487c81e14cf41873},
doi = {10.1007/s10470-019-01446-6},
year = {2019},
date = {2019-01-01},
journal = {Analog Integrated Circuits and Signal Processing},
volume = {100},
pages = {501-512},
keywords = {Deep Learning},
pubstate = {published},
tppubtype = {article}
}
|