2023
|
Luna, J M; Kiran, R U; Fournier-Viger, P; Ventura, S Efficient Mining of Top-k High Utility Itemsets through Genetic Algorithms Journal Article Information Sciences, 2023. BibTeX | Tags: Genetic Programming, Pattern Mining @article{luna2023efficient,
title = {Efficient Mining of Top-k High Utility Itemsets through Genetic Algorithms},
author = {Luna, J. M. and Kiran, R. U. and Fournier-Viger, P. and Ventura, S.},
year = {2023},
date = {2023-01-01},
journal = {Information Sciences},
publisher = {Elsevier},
keywords = {Genetic Programming, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S A framework to build accurate Convolutional Neural Network models for melanoma diagnosis Journal Article Knowledge-Based Systems, 260 , pp. 110157, 2023. BibTeX | Tags: Clinical Data Mining @article{perez2023framework,
title = {A framework to build accurate Convolutional Neural Network models for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
year = {2023},
date = {2023-01-01},
journal = {Knowledge-Based Systems},
volume = {260},
pages = {110157},
publisher = {Elsevier},
keywords = {Clinical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Feldt, R; Romero, J R A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning Journal Article ACM Transactions on Software Engineering and Methodology, 32 (1), pp. 1–42, 2023. BibTeX | Tags: Search-based Software Engineering, Software Design and Development @article{ramirez2023taxonomy,
title = {A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning},
author = {Ram\^{i}rez, A. and Feldt, R. and Romero, J. R.},
year = {2023},
date = {2023-01-01},
journal = {ACM Transactions on Software Engineering and Methodology},
volume = {32},
number = {1},
pages = {1--42},
publisher = {ACM New York, NY},
keywords = {Search-based Software Engineering, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
Ordonez-Avila, R; Reyes, N S; Meza, J; Ventura, S Data mining techniques for predicting teacher evaluation in higher education. A systematic literature review Journal Article Heliyon, 2023. BibTeX | Tags: Educational Data Mining @article{ordonez2023data,
title = {Data mining techniques for predicting teacher evaluation in higher education. A systematic literature review},
author = {Ordonez-Avila, R. and Reyes, N. S. and Meza, J. and Ventura, S.},
year = {2023},
date = {2023-01-01},
journal = {Heliyon},
publisher = {Elsevier},
keywords = {Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2022
|
Romero, C; W., Chango; R., Cerezo Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students Inproceedings Mitrovic, Antonija; Bosch, Nigel (Ed.): Proceedings of the 15th International Conference on Educational Data Mining, pp. 725–728, International Educational Data Mining Society, Durham, United Kingdom, 2022, ISBN: 978-1-7336736-3-1. Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{2022.EDM-posters.90,
title = {Looking for the best data fusion model in Smart Learning Environments for detecting at risk university students},
author = {Romero, C. and Chango W. and Cerezo R.},
editor = {Antonija Mitrovic and Nigel Bosch},
doi = {10.5281/zenodo.6853089},
isbn = {978-1-7336736-3-1},
year = {2022},
date = {2022-07-01},
booktitle = {Proceedings of the 15th International Conference on Educational Data Mining},
pages = {725--728},
publisher = {International Educational Data Mining Society},
address = {Durham, United Kingdom},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Trasierras, A M; Luna, J M; Ventura, S Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach Journal Article International Journal of Intelligent Systems, 37 (4), pp. 2822-2848, 2022. Links | BibTeX | Tags: Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining @article{Trasierras2022,
title = {Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach},
author = {Trasierras, A. M. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/int.22503},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Intelligent Systems},
volume = {37},
number = {4},
pages = {2822-2848},
keywords = {Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Al-Twijri, M; Luna, J M; Herrera, F; Ventura, S Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns Journal Article Cognitive Computation, pp. 1-22, 2022. Links | BibTeX | Tags: Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining @article{AlTwijri2022,
title = {Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns},
author = {Al-Twijri, M. and Luna, J. M. and Herrera, F. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12559-022-10015-5},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Computation},
pages = {1-22},
publisher = {Springer US},
keywords = {Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Maqsood, R; Ceravolo, P; Romero, C; Ventura, S Modeling and predicting students’ engagement behaviors using mixture Markov models Journal Article Knowledge and Information Systems, pp. 1-36, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning @article{Maqsood2022,
title = {Modeling and predicting students’ engagement behaviors using mixture Markov models},
author = {Maqsood, R. and Ceravolo, P. and Romero, C. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s10115-022-01674-9},
year = {2022},
date = {2022-01-01},
journal = {Knowledge and Information Systems},
pages = {1-36},
publisher = {Springer London},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S Design of peer assessment rubrics for ICT topics Journal Article Journal of Computing in Higher Education, 34 (1), pp. 211-241, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Bowen2022,
title = {Design of peer assessment rubrics for ICT topics},
author = {Bowen-Mendoza, L. and Pinargote-Ortega, M. and Meza, J. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12528-021-09297-9},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {211-241},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pedraza-Arevalo, S; Alors-Pérez, E; Blazquez-Encinas, R; Herrera-Martinez, A; Jimenez-Vacas, J; Fuentes-Fayos, A; Reyes, O; Ventura, S; Sanchez-Sanchez, R; Ortega-Salas, R; Serrano-Blanch, R; Galvez-Moreno, M; Gahete, M; Ibanez-Costa, A; Luque, R; Castano, J Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors Journal Article bioRxiv, 2022. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{Pedraza2022,
title = {Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors},
author = {Pedraza-Arevalo, S. and Alors-P'{e}rez, E. and Blazquez-Encinas, R. and Herrera-Martinez, A. and Jimenez-Vacas, J. and Fuentes-Fayos, A. and Reyes, O. and Ventura, S. and Sanchez-Sanchez, R. and Ortega-Salas, R. and Serrano-Blanch, R. and Galvez-Moreno, M. and Gahete, M. and Ibanez-Costa, A. and Luque, R. and Castano, J.},
url = {https://www.biorxiv.org/content/10.1101/2022.02.09.479525v1.abstract},
year = {2022},
date = {2022-01-01},
journal = {bioRxiv},
publisher = {Cold Spring Harbor Laboratory},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
López-Zambrano, J; Lara, J; Romero, C Improving the portability of predicting students’ performance models by using ontologies Journal Article Journal of Computing in Higher Education, 34 (1), pp. 1-19, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Supervised Learning @article{LopezZambrano2022,
title = {Improving the portability of predicting students’ performance models by using ontologies},
author = {L\'{o}pez-Zambrano, J. and Lara, J. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09273-3},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {1-19},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Chango, W; Lara, J; Cerezo, R; Romero, C A review on data fusion in multimodal learning analytics and educational data mining Journal Article pp. e1458, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Chango2022,
title = {A review on data fusion in multimodal learning analytics and educational data mining},
author = {Chango, W. and Lara, J. and Cerezo, R. and Romero, C.},
url = {https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/widm.1458},
year = {2022},
date = {2022-01-01},
pages = {e1458},
publisher = {Wiley Periodicals, Inc},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Ventura, S Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Journal Article Information Fusion, 78 , pp. 1-19, 2022, ISSN: 1566-2535. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning @article{Moyano:2022a_INFFUS,
title = {Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers},
author = {Moyano, J. M. and Ventura, S.},
url = {http://www.sciencedirect.com/science/article/pii/S1566253521001469},
doi = {10.1016/j.inffus.2021.07.005},
issn = {1566-2535},
year = {2022},
date = {2022-01-01},
journal = {Information Fusion},
volume = {78},
pages = {1-19},
keywords = {Classification, Evolutionary Algorithms, Genetic Programming, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Esteban, A; Zafra, A; Ventura, S Data mining in predictive maintenance systems: A taxonomy and systematic review Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1471, 2022. Links | BibTeX | Tags: Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning @article{esteban2022data,
title = {Data mining in predictive maintenance systems: A taxonomy and systematic review},
author = {Esteban, A. and Zafra, A. and Ventura, S.},
url = {https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1471},
doi = {10.1002/widm.1471},
year = {2022},
date = {2022-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1471},
publisher = {Wiley Online Library},
keywords = {Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
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, 30 (1), pp. 127–145, 2022. Links | BibTeX | Tags: Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery @article{luna2022subgroup,
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},
year = {2022},
date = {2022-01-01},
journal = {Interactive Learning Environments},
volume = {30},
number = {1},
pages = {127--145},
publisher = {Taylor & Francis},
keywords = {Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
Belmonte, A; Zafra, A; Gibaja, E MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning Journal Article Neurocomputing, 2022. Links | BibTeX | Tags: Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning @article{belmonte2022miml,
title = {MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning},
author = {Belmonte, A. and Zafra, A. and Gibaja, E.},
url = {https://www.sciencedirect.com/science/article/pii/S0925231222006518},
doi = {10.1016/j.neucom.2022.05.068},
year = {2022},
date = {2022-01-01},
journal = {Neurocomputing},
publisher = {Elsevier},
keywords = {Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Feldt, R; Romero, J R A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning Journal Article ACM Transactions on Software Engineering and Methodology, 2022. Links | BibTeX | Tags: Data Preprocessing, Predictive Models, Software analytics @article{ramirez2022taxonomy,
title = {A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning},
author = {Ram\^{i}rez, A. and Feldt, R. and Romero, J. R.},
url = {https://dl.acm.org/doi/10.1145/3511805},
doi = {10.1145/3511805},
year = {2022},
date = {2022-01-01},
journal = {ACM Transactions on Software Engineering and Methodology},
publisher = {Association for Computing Machinery},
keywords = {Data Preprocessing, Predictive Models, Software analytics},
pubstate = {published},
tppubtype = {article}
}
|
Ramírez, A; Barbudo, R; Romero, J R An experimental comparison of metaheuristic frameworks for multi-objective optimization Journal Article Expert Systems, pp. e12672, 2022. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Scalability, Software @article{ramirez2022experimental,
title = {An experimental comparison of metaheuristic frameworks for multi-objective optimization},
author = {Ram\^{i}rez, A. and Barbudo, R. and Romero, J. R.},
url = {https://onlinelibrary.wiley.com/doi/10.1111/exsy.12672},
doi = {10.1111/exsy.12672},
year = {2022},
date = {2022-01-01},
journal = {Expert Systems},
pages = {e12672},
publisher = {Wiley Online Library},
keywords = {Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Scalability, Software},
pubstate = {published},
tppubtype = {article}
}
|
García-Pozo, P; Ramírez, A Análisis de librerías Python en repositorios GitHub con minería de patrones Inproceedings XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD), 2022. BibTeX | Tags: Pattern Mining, Software analytics, Software Design and Development @inproceedings{ramirez2022jisbd,
title = {An\'{a}lisis de librer\^{i}as Python en repositorios GitHub con miner\^{i}a de patrones},
author = {Garc\^{i}a-Pozo, P. and Ram\^{i}rez, A.},
year = {2022},
date = {2022-01-01},
booktitle = {XXV Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD)},
keywords = {Pattern Mining, Software analytics, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Pozo, P; Ramírez, A; Romero, J R Third-party Library Recommendations for Python Developers using Software Analytics Techniques Inproceedings International Summer School on Search- and Machine Learning-based Software Engineering, pp. 17-18, 2022. Links | BibTeX | Tags: Pattern Mining, Software analytics, Software Design and Development @inproceedings{ramirez2022smileseng1,
title = {Third-party Library Recommendations for Python Developers using Software Analytics Techniques},
author = {Garc\^{i}a-Pozo, P. and Ram\^{i}rez, A. and Romero, J. R.},
url = {https://www.uco.es/ucopress/images/librosgratuitos/978-84-9927-704-2/ebook.html},
year = {2022},
date = {2022-01-01},
booktitle = {International Summer School on Search- and Machine Learning-based Software Engineering},
pages = {17-18},
keywords = {Pattern Mining, Software analytics, Software Design and Development},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R Improving Search-based Test Case Generation by means of Interactive Evolutionary Computation Inproceedings International Summer School on Search- and Machine Learning-based Software Engineering, pp. 39-40, 2022. Links | BibTeX | Tags: Evolutionary Algorithms, Search-based Software Engineering @inproceedings{ramirez2022smileseng2,
title = {Improving Search-based Test Case Generation by means of Interactive Evolutionary Computation},
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://www.uco.es/ucopress/images/librosgratuitos/978-84-9927-704-2/ebook.html},
year = {2022},
date = {2022-01-01},
booktitle = {International Summer School on Search- and Machine Learning-based Software Engineering},
pages = {39-40},
keywords = {Evolutionary Algorithms, Search-based Software Engineering},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Ramírez, A; Romero, J M Synergies between artificial intelligence and software engineering: evolution and trends Incollection Virvou, M; Tsihrintzis, G A; Bourbakis, N G; Jain, L C (Ed.): Handbook on Artificial Intelligence-Empowered Applied Software Engineering, 1 , Springer, 2022. BibTeX | Tags: Deep Learning, Search-based Software Engineering, Software analytics, Supervised Learning, Unsupervised Learning @incollection{ramirez2022chapter1,
title = {Synergies between artificial intelligence and software engineering: evolution and trends},
author = {Ram\^{i}rez, A. and Romero, J. M.},
editor = {Virvou, M. and Tsihrintzis, G. A. and Bourbakis, N. G. and Jain, L. C.},
year = {2022},
date = {2022-01-01},
booktitle = {Handbook on Artificial Intelligence-Empowered Applied Software Engineering},
volume = {1},
publisher = {Springer},
keywords = {Deep Learning, Search-based Software Engineering, Software analytics, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {incollection}
}
|
Ramírez, A; Miranda, B Foundations of Machine Learning for Software Engineering Incollection Romero, J R; Chicano, F; Medina-Bulo, I (Ed.): Optimising the software development process with artificial intelligence, Springer, 2022. BibTeX | Tags: Classification, Clustering, Data Preprocessing, Deep Learning, Software analytics, Supervised Learning, Unsupervised Learning @incollection{ramirez2022chapter2,
title = {Foundations of Machine Learning for Software Engineering},
author = {Ram\^{i}rez, A. and Miranda, B.},
editor = {Romero, J. R. and Chicano, F. and Medina-Bulo, I.},
year = {2022},
date = {2022-01-01},
booktitle = {Optimising the software development process with artificial intelligence},
publisher = {Springer},
keywords = {Classification, Clustering, Data Preprocessing, Deep Learning, Software analytics, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {incollection}
}
|
Moyano, J M; Luna, J M; Ventura, S Reducing the label space a predefined ratio for a more efficient multi-label classification Journal Article IEEE Access, 10 , pp. 76480-76492, 2022, ISSN: 2169-3536. Links | BibTeX | Tags: Classification, Data Science, Multi-label Learning, Supervised Learning @article{Moyano:2022b_IEEEAccess,
title = {Reducing the label space a predefined ratio for a more efficient multi-label classification},
author = {Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://ieeexplore.ieee.org/document/9833489},
doi = {10.1109/ACCESS.2022.3192642},
issn = {2169-3536},
year = {2022},
date = {2022-01-01},
journal = {IEEE Access},
volume = {10},
pages = {76480-76492},
keywords = {Classification, Data Science, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Zafra, A; Gibaja, E; Luque, M Interactive learning and formative assessment in the classroom using quizziz Inproceedings International Handbook of Innovation and Assessment of the Quality of Higher Education and Research. Vol. 1, pp. 187, Thomson Reuters-Civitas 2022. BibTeX | Tags: Educational Data Mining, Predicting Student Performance @inproceedings{zafra2022interactive,
title = {Interactive learning and formative assessment in the classroom using quizziz},
author = {Zafra, A. and Gibaja, E. and Luque, M.},
year = {2022},
date = {2022-01-01},
booktitle = {International Handbook of Innovation and Assessment of the Quality of Higher Education and Research. Vol. 1},
pages = {187},
organization = {Thomson Reuters-Civitas},
keywords = {Educational Data Mining, Predicting Student Performance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barbudo, R; Ventura, S; Romero, J R Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence Inproceedings Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021), pp. 647–656, Springer 2022. BibTeX | Tags: Evolutionary Algorithms @inproceedings{barbudo2022grammar,
title = {Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence},
author = {Barbudo, R. and Ventura, S. and Romero, J. R.},
year = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)},
pages = {647--656},
organization = {Springer},
keywords = {Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Delgado-Osuna, J A; Garcia-Martinez, C; Ventura, S Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package Inproceedings 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1–9, IEEE 2022. BibTeX | Tags: Clinical Data Mining, Evolutionary Algorithms @inproceedings{delgado2022smart,
title = {Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package},
author = {Delgado-Osuna, J. A. and Garcia-Martinez, C. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--9},
organization = {IEEE},
keywords = {Clinical Data Mining, Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Perez, E; Ventura, S Multi-view Deep Neural Networks for multiclass skin lesion diagnosis Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Classification, Clinical Data Mining @inproceedings{perez2022multi,
title = {Multi-view Deep Neural Networks for multiclass skin lesion diagnosis},
author = {Perez, E. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Classification, Clinical Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Luna, J M; Ventura, S Improving the Performance of Multi-Label Classifiers via Label Space Reduction Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Data Preprocessing, Multi-label Learning @inproceedings{moyano2022improving,
title = {Improving the Performance of Multi-Label Classifiers via Label Space Reduction},
author = {Moyano, J. M. and Luna, J. M. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Data Preprocessing, Multi-label Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barrón, M A; Luna, J M; Ventura, S Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology Inproceedings 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), pp. 1–6, IEEE 2022. BibTeX | Tags: Evolutionary Algorithms, Pattern Mining @inproceedings{barron2022dynamic,
title = {Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology},
author = {Barr\'{o}n, M. A. and Luna, J. M. and Ventura, S.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)},
pages = {1--6},
organization = {IEEE},
keywords = {Evolutionary Algorithms, Pattern Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cachi, P G; Jain, S; Ventura, S; Cauwenberghs, G; Cios, K J Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip Inproceedings 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 1–4, IEEE 2022. BibTeX | Tags: Bioinspired algorithms, GP-GPU @inproceedings{cachi2022reproducing,
title = {Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip},
author = {Cachi, P. G. and Jain, S. and Ventura, S. and Cauwenberghs, G. and Cios, K.J.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)},
pages = {1--4},
organization = {IEEE},
keywords = {Bioinspired algorithms, GP-GPU},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Alcalde-Llergo, J M; García-Martínez, C; Vaquero-Abellán, M; Aparicio-Martínez, P; Yeguas-Bolívar, E Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules Inproceedings 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pp. 568–573, IEEE 2022. BibTeX | Tags: Classification Rules, Feature Selection @inproceedings{alcalde2022analysing,
title = {Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules},
author = {Alcalde-Llergo, J. M. and Garc\^{i}a-Mart\^{i}nez, C. and Vaquero-Abell\'{a}n, M. and Aparicio-Mart\^{i}nez, P. and Yeguas-Bol\^{i}var, E.},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)},
pages = {568--573},
organization = {IEEE},
keywords = {Classification Rules, Feature Selection},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barrón, M A; Luna, J M; Ventura, S Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming Journal Article IEEE Access, 10 , pp. 125298–125310, 2022. BibTeX | Tags: Gene Expression Programming (GEP) @article{barron2022facing,
title = {Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming},
author = {Barr\'{o}n, M. A. and Luna, J. M. and Ventura, S.},
year = {2022},
date = {2022-01-01},
journal = {IEEE Access},
volume = {10},
pages = {125298--125310},
publisher = {IEEE},
keywords = {Gene Expression Programming (GEP)},
pubstate = {published},
tppubtype = {article}
}
|
Delgado-Pérez, P; Ramírez, A; Valle-Gómez, K J; Medina-Bulo, I; Romero, J R InterEvo-TR: Interactive Evolutionary Test Generation with Readability Assessment Journal Article IEEE Transactions on Software Engineering, 2022. BibTeX | Tags: Evolutionary Algorithms, Software Design and Development @article{delgado2022interevo,
title = {InterEvo-TR: Interactive Evolutionary Test Generation with Readability Assessment},
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.},
year = {2022},
date = {2022-01-01},
journal = {IEEE Transactions on Software Engineering},
publisher = {IEEE},
keywords = {Evolutionary Algorithms, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
2021
|
Frias, M; Moyano, J M; Rivero-Juarez, A; Luna, J M; Camacho, A; Fardoun, H M; Machuca, I; Al-Twijri, M; Rivero, A; Ventura, S Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach Journal Article Journal of Medical Internet Research, 23 (2), pp. e18766, 2021, ISSN: 1438-8871. Links | BibTeX | Tags: Classification, Clinical Data Mining, Feature Selection, Supervised Learning @article{Moyano:2021b_JMIR,
title = {Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach},
author = {Frias, M. and Moyano, J. M. and Rivero-Juarez, A. and Luna, J. M. and Camacho, A. and Fardoun, H. M. and Machuca, I. and Al-Twijri, M. and Rivero, A. and Ventura, S.},
url = {https://doi.org/10.2196/18766},
doi = {10.2196/18766},
issn = {1438-8871},
year = {2021},
date = {2021-01-01},
journal = {Journal of Medical Internet Research},
volume = {23},
number = {2},
pages = {e18766},
keywords = {Classification, Clinical Data Mining, Feature Selection, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Reyes, O; Fardoun, H M; Ventura, S Performing multi-target regression via gene expression programming-based ensemble models Journal Article Neurocomputing, 432 , pp. 275-287, 2021, ISSN: 1872-8286. Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-target Regression, Supervised Learning @article{Moyano:2021a_Neurocomputing,
title = {Performing multi-target regression via gene expression programming-based ensemble models},
author = {Moyano, J. M. and Reyes, O. and Fardoun, H. M. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0925231220319603},
doi = {10.1016/j.neucom.2020.12.060},
issn = {1872-8286},
year = {2021},
date = {2021-01-01},
journal = {Neurocomputing},
volume = {432},
pages = {275-287},
keywords = {Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-target Regression, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Barbudo, R; Ventura, S; Romero, J R Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence Inproceedings International Conference on Soft Computing and Pattern Recognition, pp. 647–656, Springer 2021. Links | BibTeX | Tags: Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows @inproceedings{barbudo2021grammar,
title = {Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence},
author = {Barbudo, R. and Ventura, S. and Romero, J. R.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-96302-6_61},
year = {2021},
date = {2021-01-01},
booktitle = {International Conference on Soft Computing and Pattern Recognition},
pages = {647--656},
organization = {Springer},
keywords = {Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Barbudo, R; Ramírez, A; Servant, F; Romero, J R GEML: A grammar-based evolutionary machine learning approach for design-pattern detection Journal Article Journal of Systems and Software, 175 , pp. 110919, 2021. Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering @article{barbudo2021geml,
title = {GEML: A grammar-based evolutionary machine learning approach for design-pattern detection},
author = {Barbudo, R. and Ram\^{i}rez, A. and Servant, F. and Romero, J. R.},
url = {http://doi.org/10.1016/j.jss.2021.110919},
doi = {10.1016/j.jss.2021.110919},
year = {2021},
date = {2021-01-01},
journal = {Journal of Systems and Software},
volume = {175},
pages = {110919},
publisher = {Elsevier url=https://www.sciencedirect.com/science/article/pii/S0164121221000169},
keywords = {Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Search-based Software Engineering},
pubstate = {published},
tppubtype = {article}
}
|
Esteban, A; Romero, C; Zafra, A Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses Journal Article Applied Sciences, 11 (21), pp. 10145, 2021. Links | BibTeX | Tags: Educational Data Mining, Multi-instance Learning, Predicting Student Performance @article{esteban2021assignments,
title = {Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses},
author = {Esteban, A. and Romero, C. and Zafra, A.},
url = {https://www.mdpi.com/2076-3417/11/21/10145},
doi = {10.3390/app112110145},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {21},
pages = {10145},
publisher = {MDPI},
keywords = {Educational Data Mining, Multi-instance Learning, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Fournier-Viger, P; Yang, P; Kiran, R U; Ventura, S; Luna, J M Mining local periodic patterns in a discrete sequence Journal Article Information Sciences, 544 , pp. 519–548, 2021. Links | BibTeX | Tags: Data Science, Pattern Mining @article{fournier2021mining,
title = {Mining local periodic patterns in a discrete sequence},
author = {Fournier-Viger, P. and Yang, P. and Kiran, R. U. and Ventura, S. and Luna, J. M.},
url = {https://www.sciencedirect.com/science/article/pii/S0020025520309567},
doi = {10.1016/j.ins.2020.09.044},
year = {2021},
date = {2021-01-01},
journal = {Information Sciences},
volume = {544},
pages = {519--548},
publisher = {Elsevier},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Lopez, J; Lara, J; Romero, C Early prediction of student learning performance through data mining: A systematic review Journal Article Psicothema, 2021. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{lopez2021early,
title = {Early prediction of student learning performance through data mining: A systematic review},
author = {Lopez, J. and Lara, J. and Romero, C.},
url = {http://doi.org/10.7334/psicothema2021.62},
doi = {10.7334/psicothema2021.62},
year = {2021},
date = {2021-01-01},
journal = {Psicothema},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Rodriguez-Gonzalez, A; Ventura, S; Soda, P; Fernandez-Breis, J Introduction to the special issue on Methods and applications in the analysis of social data in healthcare Journal Article 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{rodriguez2021introduction,
title = {Introduction to the special issue on Methods and applications in the analysis of social data in healthcare},
author = {Rodriguez-Gonzalez, A. and Ventura, S. and Soda, P. and Fernandez-Breis, J.},
url = {http://doi.org/10.1016/j.ipm.2020.102427},
doi = {10.1016/j.ipm.2020.102427},
year = {2021},
date = {2021-01-01},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Cachi, P; Ventura, S; Cios, K J CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks Journal Article Frontiers in computational neuroscience, 15 , pp. 627567, 2021. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @article{cachi2021crba,
title = {CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks},
author = {Cachi, P. and Ventura, S. and Cios, K. J.},
url = {https://www.frontiersin.org/articles/10.3389/fncom.2021.627567/full},
doi = {10.3389/fncom.2021.627567},
year = {2021},
date = {2021-01-01},
journal = {Frontiers in computational neuroscience},
volume = {15},
pages = {627567},
publisher = {Frontiers Media SA url=https://www.frontiersin.org/articles/10.3389/fncom.2021.627567},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Alors Perez, E; Blázquez-Encinas, R; Mafficini, A; Moreno Montilla, T; Viyuela-Garcia, C; Jiménez-Vacas, J M; Sánchez-Hidalgo, J M; Berbel, I; Marín-Sanz, J A; Sánchez-Fría, M E; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona-Sánchez, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P Splicing machinery dysregulation and its relationship with PDAC aggressiveness Journal Article Pancreatology, 21 , pp. S45, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{perez2021splicing,
title = {Splicing machinery dysregulation and its relationship with PDAC aggressiveness},
author = {Alors Perez, E. and Bl\'{a}zquez-Encinas, R. and Mafficini, A. and Moreno Montilla, T. and Viyuela-Garcia, C. and Jim'{e}nez-Vacas, J.M. and S\'{a}nchez-Hidalgo, J.M. and Berbel, I. and Mar\^{i}n-Sanz, J.A. and S\'{a}nchez-Fr\^{i}a, M.E. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona-S\'{a}nchez, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S142439032100274X},
doi = {https://doi.org/10.1016/j.pan.2021.05.123},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S45},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Blazquez-Encinas, R; Alors-Pérez, E; Mafficini, A; Moreno-Montilla, T; Viyuela-García, C; Abollo-Jiménez, F; Sánchez-Hidalgo, J M; Sánchez-Frías, M E; García-Vioque, V; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma Journal Article Pancreatology, 21 , pp. S75, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{blazquez2021functional,
title = {A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma},
author = {Blazquez-Encinas, R. and Alors-P'{e}rez, E. and Mafficini, A. and Moreno-Montilla, T. and Viyuela-Garc\^{i}a, C. and Abollo-Jim'{e}nez, F. and S\'{a}nchez-Hidalgo, J.M. and S\'{a}nchez-Fr\^{i}as, M.E. and Garc\^{i}a-Vioque, V. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S1424390321003513},
doi = {https://doi.org/10.1016/j.pan.2021.05.200},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S75},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Alors-Perez, E; Blazquez-Encinas, R; Alcala, S; Viyuela-Garcia, C; Pedraza-Arevalo, S; Herrero-Aguayo, V; Jimenez-Vacas, J; Mafficini, A; Sanchez-Frias, M; Cano, M Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug Journal Article Journal of Experimental & Clinical Cancer Research, 40 (1), pp. 1–21, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{alors2021dysregulated,
title = {Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug},
author = {Alors-Perez, E. and Blazquez-Encinas, R. and Alcala, S. and Viyuela-Garcia, C. and Pedraza-Arevalo, S. and Herrero-Aguayo, V. and Jimenez-Vacas, J. and Mafficini, A. and Sanchez-Frias, M. and Cano, M.},
url = {https://jeccr.biomedcentral.com/articles/10.1186/s13046-021-02153-9},
doi = {10.1186/s13046-021-02153-9},
year = {2021},
date = {2021-01-01},
journal = {Journal of Experimental & Clinical Cancer Research},
volume = {40},
number = {1},
pages = {1--21},
publisher = {BioMed Central},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Chango, W; Cerezo, R; Sanchez-Santillan, M; Azevedo, R; Romero, C Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources Journal Article Journal of Computing in Higher Education, 33 (3), pp. 614–634, 2021. Links | BibTeX | Tags: Classification, Data Science, Educational Data Mining, Supervised Learning @article{chango2021improving,
title = {Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources},
author = {Chango, W. and Cerezo, R. and Sanchez-Santillan, M. and Azevedo, R. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09298-8},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computing in Higher Education},
volume = {33},
number = {3},
pages = {614--634},
publisher = {Springer},
keywords = {Classification, Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pinargote-Ortega, M; Bowen-Mendoza, L; Meza, J; Ventura, S Peer assessment using soft computing techniques Journal Article Journal of Computing in Higher Education, 33 (3), pp. 684–726, 2021. Links | BibTeX | Tags: Data Science @article{pinargote2021peer,
title = {Peer assessment using soft computing techniques},
author = {Pinargote-Ortega, M. and Bowen-Mendoza, L. and Meza, J. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12528-021-09296-w},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computing in Higher Education},
volume = {33},
number = {3},
pages = {684--726},
publisher = {Springer},
keywords = {Data Science},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules Journal Article Cancers, 13 (19), pp. 4974, 2021. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2021melanoma,
title = {Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://www.mdpi.com/2072-6694/13/19/4974},
doi = {10.3390/cancers13194974},
year = {2021},
date = {2021-01-01},
journal = {Cancers},
volume = {13},
number = {19},
pages = {4974},
publisher = {MDPI},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|