2022
|
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}
}
|
2019
|
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}
}
|
Luna, J M; Padillo, F; M., Pechenizkiy; Ventura, S Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data Journal Article IEEE Trans. Cybernetics, 48 (10), pp. 2851–2865, 2018. Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark @article{LunaPPV18,
title = {Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data},
author = {Luna, J. M. and Padillo, F. and Pechenizkiy M. and Ventura, S.},
url = {https://doi.org/10.1109/TCYB.2017.2751081},
doi = {10.1109/TCYB.2017.2751081},
year = {2018},
date = {2018-01-01},
journal = {IEEE Trans. Cybernetics},
volume = {48},
number = {10},
pages = {2851--2865},
keywords = {Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Padillo, F; Luna, J M; F., Herrera; Ventura, S Mining association rules on Big Data through MapReduce genetic programming Journal Article Integrated Computer-Aided Engineering, 25 (1), pp. 31–48, 2018. Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark @article{PadilloLHV18,
title = {Mining association rules on Big Data through MapReduce genetic programming},
author = {Padillo, F. and Luna, J. M. and Herrera F. and Ventura, S.},
url = {https://doi.org/10.3233/ICA-170555},
doi = {10.3233/ICA-170555},
year = {2018},
date = {2018-01-01},
journal = {Integrated Computer-Aided Engineering},
volume = {25},
number = {1},
pages = {31--48},
keywords = {Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Skryjomski, P; Krawczyk, B; Cano, A Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs Journal Article Neurocomputing, In press , 2018. BibTeX | Tags: Classification, GP-GPU, Multi-label Learning, Scalability @article{b,
title = {Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs},
author = {Skryjomski, P. and Krawczyk, B. and Cano, A.},
year = {2018},
date = {2018-01-01},
journal = {Neurocomputing},
volume = {In press},
keywords = {Classification, GP-GPU, Multi-label Learning, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Djenouri, Y; Djenouri, D; Belhadi, A; Cano, A Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining Journal Article Information Sciences, In press , 2018. Links | BibTeX | Tags: GP-GPU, Pattern Mining, Scalability @article{2018-INS-GPU,
title = {Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining},
author = {Djenouri, Y. and Djenouri, D. and Belhadi, A. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.ins.2018.07.020},
doi = {10.1016/j.ins.2018.07.020},
year = {2018},
date = {2018-01-01},
journal = {Information Sciences},
volume = {In press},
keywords = {GP-GPU, Pattern Mining, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; González, L D; Sánchez, L M; Reyes, O; Ventura, S JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de código abierto para el aprendizaje activo Inproceedings XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Granada, Spain, 2018. Links | BibTeX | Tags: Active Learning, Scalability, Software Design and Development, Spark @inproceedings{Perez2018,
title = {JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de c\'{o}digo abierto para el aprendizaje activo},
author = {P'{e}rez, E. and Gonz\'{a}lez, L. D. and S\'{a}nchez, L. M. and Reyes, O. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_TAMIDA6.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial (CAEPIA)},
address = {Granada, Spain},
keywords = {Active Learning, Scalability, Software Design and Development, Spark},
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}
}
|
2017
|
Gonzalez-Lopez, J; Cano, A; Ventura, S Large-scale multi-label ensemble learning on Spark Inproceedings Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering, pp. 893-900, 2017. BibTeX | Tags: Multi-label Learning, Scalability, Spark @inproceedings{2017-IEEEBIGDATA,
title = {Large-scale multi-label ensemble learning on Spark},
author = {Gonzalez-Lopez, J. and Cano, A. and Ventura, S.},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering},
pages = {893-900},
keywords = {Multi-label Learning, Scalability, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; García-Martínez, C; Ventura, S Extremely High-dimensional Optimization with MapReduce: Scaling Functions and Algorithm Journal Article Information Sciences, 415-416 , pp. 110-127, 2017. Links | BibTeX | Tags: Metaheuristics, Scalability @article{2017-INS-REALOPT,
title = {Extremely High-dimensional Optimization with MapReduce: Scaling Functions and Algorithm},
author = {Cano, A. and Garc\^{i}a-Mart\^{i}nez, C. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.ins.2017.06.024},
doi = {10.1016/j.ins.2017.06.024},
year = {2017},
date = {2017-01-01},
journal = {Information Sciences},
volume = {415-416},
pages = {110-127},
keywords = {Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
Padillo, F; Luna, J M; Ventura, S Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce Inproceedings Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, pp. 1684–1691, Tianjin, China, 2016. Links | BibTeX | Tags: Big Data Mining, Pattern Mining, Scalability, Spark, Subgroup Discovery @inproceedings{Padillo:BigDataSE16:16,
title = {Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {http://dx.doi.org/10.1109/TrustCom/BigDataSE/ISPA.2016.256},
doi = {10.1109/TrustCom/BigDataSE/ISPA.2016.256},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA},
pages = {1684--1691},
address = {Tianjin, China},
keywords = {Big Data Mining, Pattern Mining, Scalability, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; García-Martínez, C Optimización con 100 millones de variables reales sobre múltiples unidades de procesamiento gráfico Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 377–386, 2016. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability @inproceedings{Cano2016,
title = {Optimizaci\'{o}n con 100 millones de variables reales sobre m\'{u}ltiples unidades de procesamiento gr\'{a}fico},
author = {Cano, A. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {www.uco.es/~i52caroa/pdf/CAEPIA-2016.pdf},
year = {2016},
date = {2016-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {377--386},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; García-Martínez, C 100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing Inproceedings Proceedings of the IEEE World Congress on Computational Intelligence, pp. 3566-3573, Vancouver, Canada, 2016. BibTeX | Tags: GP-GPU, Scalability @inproceedings{Cano-WCCI-2016,
title = {100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing},
author = {Cano, A. and Garc\^{i}a-Mart\^{i}nez, C.},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the IEEE World Congress on Computational Intelligence},
pages = {3566-3573},
address = {Vancouver, Canada},
series = {IEEE WCCI 2016},
keywords = {GP-GPU, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Cano, A; Ventura, S A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets Inproceedings Proceedings of the 11th International Conference on Hybrid Artificial Intelligence Systems, pp. 365-376, Seville, Spain, 2016. Links | BibTeX | Tags: Big Data Mining, Scalability @inproceedings{Padillo:HAIS16:2016,
title = {A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets},
author = {Padillo, F. and Luna, J. M. and Cano, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-319-32034-2_31},
doi = {10.1007/978-3-319-32034-2_31},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 11th International Conference on Hybrid Artificial Intelligence Systems},
pages = {365-376},
address = {Seville, Spain},
series = {HAIS 2016},
keywords = {Big Data Mining, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Ventura, S; Herrera, F Algoritmo de programación genética gramatical para la extracción de reglas de asociación en Big Data usando el paradigma MapReduce Inproceedings XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 137-148, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning @inproceedings{Padillo:MAEB16:16,
title = {Algoritmo de programaci\'{o}n gen'{e}tica gramatical para la extracci\'{o}n de reglas de asociaci\'{o}n en Big Data usando el paradigma MapReduce},
author = {Padillo, F. and Luna, J. M. and Ventura, S. and Herrera, F.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {XI Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {137-148},
keywords = {Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Ventura, S Búsquedas exhaustivas de subgrupos con MapReduce en Big Data Inproceedings VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pp. 779-788, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Big Data Mining, Pattern Mining, Scalability, Spark @inproceedings{Padillo:TAMIDA16_SD:16,
title = {B\'{u}squedas exhaustivas de subgrupos con MapReduce en Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {VIII Simposio Teor\^{i}a y Aplicaciones de Miner\^{i}a de Datos (TAMIDA'16)},
pages = {779-788},
keywords = {Big Data Mining, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Padillo, F; Luna, J M; Ventura, S Minería de patrones en Big Data Inproceedings VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pp. 769-778, 2016, ISBN: 978-84-9012-632-5. BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Unsupervised Learning @inproceedings{Padillo:TAMIDA16:16,
title = {Miner\^{i}a de patrones en Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {VIII Simposio Teor\^{i}a y Aplicaciones de Miner\^{i}a de Datos (TAMIDA'16)},
pages = {769-778},
keywords = {Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Rodriguez, F J; Lozano, M; Blum, C; García-Martínez, C An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem Journal Article Computers & Operations Research, 40 (7), pp. 1829–1841, 2013, ISSN: 03050548. Links | BibTeX | Tags: Metaheuristics, Scalability @article{rodriguez2013igupmsp,
title = {An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem},
author = {Rodriguez, F. J. and Lozano, M. and Blum, C. and Garc\^{i}a-Mart\^{i}nez, C.},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0305054813000269},
doi = {10.1016/j.cor.2013.01.018},
issn = {03050548},
year = {2013},
date = {2013-07-01},
journal = {Computers & Operations Research},
volume = {40},
number = {7},
pages = {1829--1841},
keywords = {Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
García-Martínez, C; Rodríguez, F J; Lozano, M Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation Journal Article Soft Computing, 15 (11), pp. 2109–2126, 2011, ISSN: 1432-7643. Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Scalability @article{Garcia-Martinez2011,
title = {Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Rodr\^{i}guez, F. J. and Lozano, M.},
url = {http://link.springer.com/10.1007/s00500-010-0641-8},
doi = {10.1007/s00500-010-0641-8},
issn = {1432-7643},
year = {2011},
date = {2011-11-01},
journal = {Soft Computing},
volume = {15},
number = {11},
pages = {2109--2126},
keywords = {Evolutionary Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {article}
}
|
2010
|
Cano, A; Zafra, A; Ventura, S Speeding Up Evolutionary Learning Algorithms using GPUs Inproceedings XV Congreso Español sobre Tecnologías y Lógica Fuzzy, ESTYLF'10, pp. 229–234, 2010. BibTeX | Tags: Evolutionary Algorithms, GP-GPU, Scalability @inproceedings{Cano-2010-ESTYLF,
title = {Speeding Up Evolutionary Learning Algorithms using GPUs},
author = {Cano, A. and Zafra, A. and Ventura, S.},
year = {2010},
date = {2010-01-01},
booktitle = {XV Congreso Espa\~{n}ol sobre Tecnolog\^{i}as y L\'{o}gica Fuzzy, ESTYLF'10},
pages = {229--234},
keywords = {Evolutionary Algorithms, GP-GPU, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
García-Martínez, C; Lozano, M; Rodríguez-Díaz, F J Evolución Diferencial con Distinción de Roles: Optimización de Problemas con Alta Dimensión Inproceedings Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pp. 455–462, 2010. BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Scalability @inproceedings{Garcia-Martinez2010a,
title = {Evoluci\'{o}n Diferencial con Distinci\'{o}n de Roles: Optimizaci\'{o}n de Problemas con Alta Dimensi\'{o}n},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M. and Rodr\^{i}guez-D\^{i}az, F. J.},
year = {2010},
date = {2010-01-01},
booktitle = {Congreso de Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},
pages = {455--462},
keywords = {Evolutionary Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
García-Martínez, C; Lozano, M Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test Inproceedings International Conference on Intelligent Systems Design and Applications (ISDA'09), pp. 1074–1079, 2009. Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability @inproceedings{Garcia-Martinez2009a,
title = {Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test},
author = {Garc\^{i}a-Mart\^{i}nez, C. and Lozano, M.},
url = {http://ieeexplore.ieee.org/document/5364190/?arnumber=5364190&tag=1},
year = {2009},
date = {2009-01-01},
booktitle = {International Conference on Intelligent Systems Design and Applications (ISDA'09)},
pages = {1074--1079},
keywords = {Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Scalability},
pubstate = {published},
tppubtype = {inproceedings}
}
|