2022
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
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; 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}
}
|
2020
|
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}
}
|
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}
}
|
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}
}
|
2019
|
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}
}
|
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}
}
|
2018
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
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}
}
|
Reyes, O; Morell, C; Ventura, S Effective active learning strategy for multi-label learning Journal Article Neurocomputing, 273 , pp. 494-508, 2018. Links | BibTeX | Tags: Classification, Multi-label Learning, Scalability, Supervised Learning @article{Reyes2018494,
title = {Effective active learning strategy for multi-label learning},
author = {Reyes, O. and Morell, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028403971&doi=10.1016%2fj.neucom.2017.08.001&partnerID=40&md5=05e151b407c022b621123a619712e214},
doi = {10.1016/j.neucom.2017.08.001},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {273},
pages = {494-508},
keywords = {Classification, Multi-label Learning, Scalability, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Guerrero-Enamorado, A; Morell, C; Ventura, S A gene expression programming algorithm for discovering classification rules in the multi-objective space Journal Article International Journal of Computational Intelligence Systems, 11 , pp. 540-559, 2018. Links | BibTeX | Tags: Classification, Genetic Programming @article{Guerrero-Enamorado2018540,
title = {A gene expression programming algorithm for discovering classification rules in the multi-objective space},
author = {Guerrero-Enamorado, A. and Morell, C. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045650573&doi=10.2991%2fijcis.11.1.40&partnerID=40&md5=ed025fe6f5c90cb4a35b096447dc94ae},
doi = {10.2991/ijcis.11.1.40},
year = {2018},
date = {2018-01-01},
journal = {International Journal of Computational Intelligence Systems},
volume = {11},
pages = {540-559},
keywords = {Classification, Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
Maestre-García, F J; García-Martínez, C; Pérez-Ortíz, M; Gutiérrez, P A An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning Inproceedings Proceedings of the International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence, pp. 513-524, Cadiz, Spain, 2017. BibTeX | Tags: Classification, Metaheuristics, Supervised Learning @inproceedings{FJMaestre-IWANN-2017,
title = {An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning},
author = {Maestre-Garc\^{i}a, F.J. and Garc\^{i}a-Mart\^{i}nez, C. and P'{e}rez-Ort\^{i}z, M. and Guti'{e}rrez, P.A.},
year = {2017},
date = {2017-05-18},
booktitle = {Proceedings of the International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence},
pages = {513-524},
address = {Cadiz, Spain},
series = {IWANN 2017},
keywords = {Classification, Metaheuristics, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; Ventura, S; Cios, K J Multi-Objective Genetic Programming for Feature Extraction and Data Visualization Journal Article Soft Computing, 21 (8), pp. 2069–2089, 2017. Links | BibTeX | Tags: Classification, Genetic Programming @article{Cano-2017-SOCO-MOGPFEV,
title = {Multi-Objective Genetic Programming for Feature Extraction and Data Visualization},
author = {Cano, A. and Ventura, S. and Cios, K. J.},
url = {http://dx.doi.org/10.1007/s00500-015-1907-y},
doi = {10.1007/s00500-015-1907-y},
year = {2017},
date = {2017-01-01},
journal = {Soft Computing},
volume = {21},
number = {8},
pages = {2069--2089},
keywords = {Classification, Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A An ensemble approach to multi-view multi-instance learning Journal Article Knowledge-Based Systems, 136 , pp. 46-57, 2017. Links | BibTeX | Tags: Classification, Multi-instance Learning, Multi-view Learning @article{2017-KNOSYS-MIMV,
title = {An ensemble approach to multi-view multi-instance learning},
author = {Cano, A.},
url = {http://dx.doi.org/10.1016/j.knosys.2017.08.022},
doi = {10.1016/j.knosys.2017.08.022},
year = {2017},
date = {2017-01-01},
journal = {Knowledge-Based Systems},
volume = {136},
pages = {46-57},
keywords = {Classification, Multi-instance Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {article}
}
|
Krawczyk, B; McInnes, B; Cano, A Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization Inproceedings Proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, pp. 26-37, 2017. BibTeX | Tags: Classification, Supervised Learning @inproceedings{2017-HAIS,
title = {Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization},
author = {Krawczyk, B. and McInnes, B. and Cano, A.},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems},
pages = {26-37},
keywords = {Classification, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Arauzo-Azofra, A; Molina-Baena, J; Jiménez-Vílchez, A; Luque, M Using Individual Feature Evaluation to Start Feature Subset Selection Methods for Classification Inproceedings International Conference on Agents and Artificial Intelligence, pp. 607–614, SCITEPRESS doi = 10.5220/0006204406070614 2017. Links | BibTeX | Tags: Classification, Feature Selection @inproceedings{arauzo2017using,
title = {Using Individual Feature Evaluation to Start Feature Subset Selection Methods for Classification},
author = {Arauzo-Azofra, A. and Molina-Baena, J. and Jim'{e}nez-V\^{i}lchez, A. and Luque, M.},
url = {https://www.scitepress.org/papers/2017/62044/62044.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
volume = {2},
pages = {607--614},
organization = {SCITEPRESS doi = 10.5220/0006204406070614},
keywords = {Classification, Feature Selection},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
|
Cano, A; Nguyen, D T; Ventura, S; Cios, K J ur-CAIM: improved CAIM discretization for unbalanced and balanced data Journal Article Soft Computing, 20 (1), pp. 173-188, 2016. Links | BibTeX | Tags: Classification, Supervised Learning @article{Cano-2016-SOCO,
title = {ur-CAIM: improved CAIM discretization for unbalanced and balanced data},
author = {Cano, A. and Nguyen, D. T. and Ventura, S. and Cios, K. J.},
url = {http://dx.doi.org/10.1007/s00500-014-1488-1},
doi = {10.1007/s00500-014-1488-1},
year = {2016},
date = {2016-01-01},
journal = {Soft Computing},
volume = {20},
number = {1},
pages = {173-188},
keywords = {Classification, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Alventosa, J; Romero, C; García-Martínez, C; Ventura, S Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos Inproceedings Actas de las XXII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2016), pp. 201–208, 2016, ISBN: 9788416642304. Links | BibTeX | Tags: Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning @inproceedings{Fuentes-Alventosa2016,
title = {Predicci\'{o}n de la aceptaci\'{o}n o rechazo de las calificaciones finales propuestas por el alumnado usando t'{e}cnicas de Miner\^{i}a de Datos},
author = {Fuentes-Alventosa, J. and Romero, C. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://www.aenui.net/ojs/index.php?journal=actas_jenui&page=article&op=view&path%5B%5D=252},
isbn = {9788416642304},
year = {2016},
date = {2016-01-01},
booktitle = {Actas de las XXII Jornadas sobre la Ense\~{n}anza Universitaria de la Inform\'{a}tica (JENUI 2016)},
pages = {201--208},
keywords = {Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gibaja, E; Moyano, J M; Ventura, S An ensemble-based approach for multi-view multi-label classification Journal Article Progress in Artificial Intelligence, 5 (4), pp. 251–259, 2016, ISSN: 2192-6360. Links | BibTeX | Tags: Classification, Multi-label Learning, Multi-view Learning @article{Gibaja-2016-PRAI,
title = {An ensemble-based approach for multi-view multi-label classification},
author = {Gibaja, E. and Moyano, J. M. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s13748-016-0098-9},
doi = {10.1007/s13748-016-0098-9},
issn = {2192-6360},
year = {2016},
date = {2016-01-01},
journal = {Progress in Artificial Intelligence},
volume = {5},
number = {4},
pages = {251--259},
keywords = {Classification, Multi-label Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Tamayo, S; Salazar, R; Pérez, C Active learning in the improvement of indicators of management Inproceedings Anais do IV Encontro Regional de Computação e Sistemas de Informação, ENCOSIS, pp. 1–10, Manaus, Brasil, 2016. BibTeX | Tags: Active Learning, Classification @inproceedings{Perez2016c,
title = {Active learning in the improvement of indicators of management},
author = {P'{e}rez, E. and Tamayo, S. and Salazar, R. and P'{e}rez, C},
year = {2016},
date = {2016-01-01},
booktitle = {Anais do IV Encontro Regional de Computa\c{c}\^{a}o e Sistemas de Informa\c{c}\^{a}o, ENCOSIS},
journal = {Anais do IV Encontro Regional de Computa\c{c}\^{a}o e Sistemas de Informa\c{c}\^{a}o, ENCOSIS},
pages = {1--10},
address = {Manaus, Brasil},
keywords = {Active Learning, Classification},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2015
|
Gibaja, E; Ventura, S A Tutorial on Multilabel Learning Journal Article ACM Comput. Surv., 47 (3), pp. 52, 2015. Links | BibTeX | Tags: Classification, Multi-label Learning @article{DBLP:journals/csur/GibajaV15,
title = {A Tutorial on Multilabel Learning},
author = {Gibaja, E. and Ventura, S.},
url = {http://doi.acm.org/10.1145/2716262},
doi = {10.1145/2716262},
year = {2015},
date = {2015-01-01},
journal = {ACM Comput. Surv.},
volume = {47},
number = {3},
pages = {52},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Gibaja, E; Moyano, J M; Ventura, S Combinación de vistas para clasificación multi-etiqueta: estudio preliminar Inproceedings XVI Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA'15, pp. 759–768, 2015. Links | BibTeX | Tags: Classification, Multi-label Learning, Multi-view Learning @inproceedings{Gibaja2015_CAEPIA,
title = {Combinaci\'{o}n de vistas para clasificaci\'{o}n multi-etiqueta: estudio preliminar},
author = {Gibaja, E. and Moyano, J. M. and Ventura, S.},
url = {http://simd.albacete.org/actascaepia15/papers/00759.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {XVI Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial, CAEPIA'15},
pages = {759--768},
keywords = {Classification, Multi-label Learning, Multi-view Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; Luna, J M; Zafra, A; Ventura, S A Classification Module for Genetic Programming Algorithms in JCLEC Journal Article Journal of Machine Learning Research, 16 , pp. 491-494, 2015. Links | BibTeX | Tags: Classification, Genetic Programming @article{Luna-2015-JMLR,
title = {A Classification Module for Genetic Programming Algorithms in JCLEC},
author = {Cano, A. and Luna, J. M. and Zafra, A. and Ventura, S.},
url = {http://jmlr.org/papers/volume16/cano15a/cano15a.pdf},
year = {2015},
date = {2015-01-01},
journal = {Journal of Machine Learning Research},
volume = {16},
pages = {491-494},
keywords = {Classification, Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Gibaja, E; Cano, A; Luna, J M; Ventura, S Diseño automático de multi-clasificadores basados en proyecciones de etiquetas Inproceedings XVI Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 355–365, 2015. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano2015b_CAEPIA,
title = {Dise\~{n}o autom\'{a}tico de multi-clasificadores basados en proyecciones de etiquetas},
author = {Moyano, J. M. and Gibaja, E. and Cano, A. and Luna, J. M. and Ventura, S.},
url = {http://simd.albacete.org/actascaepia15/papers/00355.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {XVI Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial},
pages = {355--365},
series = {CAEPIA'15},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Moyano, J M; Gibaja, E; Cano, A; Luna, J M; Ventura, S Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta Inproceedings X Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, pp. 219-225, 2015. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning @inproceedings{Moyano-2015-MAEB,
title = {Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta},
author = {Moyano, J. M. and Gibaja, E. and Cano, A. and Luna, J. M. and Ventura, S.},
url = {http://www.uco.es/~i02momuj/pdf/maeb15.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {X Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas and Algoritmos Evolutivos y Bioinspirados},
pages = {219-225},
series = {MAEB'15},
keywords = {Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2014
|
Cano, A; Ventura, S; Cios, K J Scalable CAIM discretization on multiple GPUs using concurrent kernels Journal Article Journal of Supercomputing, 69 (1), pp. 273-292, 2014. Links | BibTeX | Tags: Classification, Data Preprocessing, GP-GPU @article{Cano-2014-JSUP,
title = {Scalable CAIM discretization on multiple GPUs using concurrent kernels},
author = {Cano, A. and Ventura, S. and Cios, K. J.},
url = {http://dx.doi.org/10.1007/s11227-014-1151-8},
doi = {10.1007/s11227-014-1151-8},
year = {2014},
date = {2014-01-01},
journal = {Journal of Supercomputing},
volume = {69},
number = {1},
pages = {273-292},
keywords = {Classification, Data Preprocessing, GP-GPU},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A; Zafra, A; Ventura, S Parallel evaluation of Pittsburgh rule-based classifiers on GPUs Journal Article Neurocomputing, 126 , pp. 45-57, 2014. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, GP-GPU @article{Cano-2014-NEUCOM,
title = {Parallel evaluation of Pittsburgh rule-based classifiers on GPUs},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.neucom.2013.01.049},
doi = {10.1016/j.neucom.2013.01.049},
year = {2014},
date = {2014-01-01},
journal = {Neurocomputing},
volume = {126},
pages = {45-57},
keywords = {Classification, Evolutionary Algorithms, GP-GPU},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Alventosa, J; Romero, C; García-Martínez, C; Ventura, S Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining Inproceedings International Conference on Educational Data Mining (EDM'14), pp. 327–328, 2014. Links | BibTeX | Tags: Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning @inproceedings{Fuentes-Alventosa2014,
title = {Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining},
author = {Fuentes-Alventosa, J. and Romero, C. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://educationaldatamining.org/EDM2014/uploads/procs2014/posters/3_EDM-2014-Poster.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {International Conference on Educational Data Mining (EDM'14)},
pages = {327--328},
keywords = {Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gibaja, E; Ventura, S Multi-label learning: A review of the state of the art and ongoing research Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4 (6), pp. 411-444, 2014. Links | BibTeX | Tags: Classification, Multi-label Learning @article{Gibaja-2014-WIRES,
title = {Multi-label learning: A review of the state of the art and ongoing research},
author = {Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1002/widm.1139},
doi = {10.1002/widm.1139},
year = {2014},
date = {2014-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {4},
number = {6},
pages = {411-444},
keywords = {Classification, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pedraza, J A; García-Martínez, C; Cano, A; Ventura, S Classification Rule Mining with Iterated Greedy Inproceedings International Conference on Hybrid Artificial Intelligence Systems, pp. 585–596, 2014. Links | BibTeX | Tags: Classification, Supervised Learning @inproceedings{Pedraza2014,
title = {Classification Rule Mining with Iterated Greedy},
author = {Pedraza, J. A. and Garc\^{i}a-Mart\^{i}nez, C. and Cano, A. and Ventura, S.},
url = {http://link.springer.com/chapter/10.1007/978-3-319-07617-1_51},
year = {2014},
date = {2014-01-01},
booktitle = {International Conference on Hybrid Artificial Intelligence Systems},
pages = {585--596},
keywords = {Classification, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pedraza, J A; García-Martínez, C; Cano, A; Ventura, S Classification rule mining with iterated greedy Inproceedings Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS'14, pp. 585-596, 2014. Links | BibTeX | Tags: Classification, Classification Rules @inproceedings{Pedraza-2014-HAIS,
title = {Classification rule mining with iterated greedy},
author = {Pedraza, J. A. and Garc\^{i}a-Mart\^{i}nez, C. and Cano, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-319-07617-1_51},
doi = {10.1007/978-3-319-07617-1_51},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS'14},
volume = {8480 LNAI},
pages = {585-596},
keywords = {Classification, Classification Rules},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Cano, A; Zafra, A; Ventura, S Weighted data gravitation classification for standard and imbalanced data Journal Article IEEE Transactions on Cybernetics, 43 (6), pp. 1672-1687, 2013. Links | BibTeX | Tags: Classification, Evolutionary Algorithms, GP-GPU @article{Cano-2013-CYB,
title = {Weighted data gravitation classification for standard and imbalanced data},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1109/TSMCB.2012.2227470},
doi = {10.1109/TSMCB.2012.2227470},
year = {2013},
date = {2013-01-01},
journal = {IEEE Transactions on Cybernetics},
volume = {43},
number = {6},
pages = {1672-1687},
keywords = {Classification, Evolutionary Algorithms, GP-GPU},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A; Zafra, A; Gibaja, E; Ventura, S A grammar-guided genetic programming algorithm for multi-label classification Journal Article 7831 LNCS , pp. 217-228, 2013. Links | BibTeX | Tags: Classification, Genetic Programming, Multi-label Learning @article{Cano-2013-EUROGP,
title = {A grammar-guided genetic programming algorithm for multi-label classification},
author = {Cano, A. and Zafra, A. and Gibaja, E. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-642-37207-0_19},
doi = {10.1007/978-3-642-37207-0_19},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the 16th European Conference on Genetic Programming, EuroGP'13},
volume = {7831 LNCS},
pages = {217-228},
keywords = {Classification, Genetic Programming, Multi-label Learning},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A; Zafra, A; Ventura, S An interpretable classification rule mining algorithm Journal Article Information Sciences, 240 , pp. 1-20, 2013. Links | BibTeX | Tags: Classification, Classification Rules, Evolutionary Algorithms @article{Cano-2013-INS,
title = {An interpretable classification rule mining algorithm},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2013.03.038},
doi = {10.1016/j.ins.2013.03.038},
year = {2013},
date = {2013-01-01},
journal = {Information Sciences},
volume = {240},
pages = {1-20},
keywords = {Classification, Classification Rules, Evolutionary Algorithms},
pubstate = {published},
tppubtype = {article}
}
|
2012
|
Cano, A; Luna, J M; Zafra, A; Ventura, S Modelo gravitacional para clasificación Inproceedings VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, pp. 63–70, Albacete, España, 2012. BibTeX | Tags: Classification, Evolutionary Algorithms @inproceedings{Cano-2012-MAEB,
title = {Modelo gravitacional para clasificaci\'{o}n},
author = {Cano, A. and Luna, J. M. and Zafra, A. and Ventura, S.},
year = {2012},
date = {2012-01-01},
booktitle = {VIII Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas and Algoritmos Evolutivos y Bioinspirados},
pages = {63--70},
address = {Albacete, Espa\~{n}a},
series = {MAEB'12},
keywords = {Classification, Evolutionary Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
|