2022
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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}
}
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2018
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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}
}
|
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}
}
|
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}
}
|
2016
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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}
}
|
2015
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Cano, A; Zafra, A; Ventura, S Speeding up multiple instance learning classification rules on GPUs Journal Article Knowledge and Information Systems, 44 (1), pp. 127–145, 2015. Links | BibTeX | Tags: GP-GPU, Multi-instance Learning @article{Cano-2015-KAIS,
title = {Speeding up multiple instance learning classification rules on GPUs},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s10115-014-0752-0},
doi = {10.1007/s10115-014-0752-0},
year = {2015},
date = {2015-01-01},
journal = {Knowledge and Information Systems},
volume = {44},
number = {1},
pages = {127--145},
keywords = {GP-GPU, Multi-instance Learning},
pubstate = {published},
tppubtype = {article}
}
|
2014
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Cano, A; Ventura, S GPU-parallel SubTree interpreter for genetic programming Inproceedings Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14, pp. 887-893, 2014. Links | BibTeX | Tags: Genetic Programming, GP-GPU @inproceedings{Cano-2014-GECCO,
title = {GPU-parallel SubTree interpreter for genetic programming},
author = {Cano, A. and Ventura, S.},
url = {http://dx.doi.org/10.1145/2576768.2598272},
doi = {10.1145/2576768.2598272},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14},
pages = {887-893},
keywords = {Genetic Programming, GP-GPU},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A; Yeguas-Bolivar, E; Muñoz-Salinas, R; Medina-Carnicer, R; Ventura, S Parallelization strategies for markerless human motion capture Journal Article Journal of Real-Time Image Processing, In press , 2014. Links | BibTeX | Tags: Evolutionary Algorithms, GP-GPU @article{Cano-2014-JRTIP,
title = {Parallelization strategies for markerless human motion capture},
author = {Cano, A. and Yeguas-Bolivar, E. and Mu\~{n}oz-Salinas, R. and Medina-Carnicer, R. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s11554-014-0467-1},
doi = {10.1007/s11554-014-0467-1},
year = {2014},
date = {2014-01-01},
journal = {Journal of Real-Time Image Processing},
volume = {In press},
keywords = {Evolutionary Algorithms, GP-GPU},
pubstate = {published},
tppubtype = {article}
}
|
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}
}
|
2013
|
Cano, A; Luna, J M; Ventura, S High performance evaluation of evolutionary-mined association rules on GPUs Journal Article The Journal of Supercomputing, 66 (3), pp. 1438-1461, 2013. Links | BibTeX | Tags: Association Rule Mining, GP-GPU, Pattern Mining @article{Cano:2013,
title = {High performance evaluation of evolutionary-mined association rules on GPUs},
author = {Cano, A. and Luna, J. M. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s11227-013-0937-4},
doi = {10.1007/s11227-013-0937-4},
year = {2013},
date = {2013-01-01},
journal = {The Journal of Supercomputing},
volume = {66},
number = {3},
pages = {1438-1461},
keywords = {Association Rule Mining, GP-GPU, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
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; Olmo, J L; Ventura, S Parallel multi-objective Ant Programming for classification using GPUs Journal Article Journal of Parallel and Distributed Computing, 73 (6), pp. 713-728, 2013. Links | BibTeX | Tags: Ant Programming, GP-GPU, Multi-objective Optimization @article{Cano-2013-JPDC,
title = {Parallel multi-objective Ant Programming for classification using GPUs},
author = {Cano, A. and Olmo, J. L. and Ventura, S.},
url = {http://dx.doi.org/10.1016/j.jpdc.2013.01.017},
doi = {10.1016/j.jpdc.2013.01.017},
year = {2013},
date = {2013-01-01},
journal = {Journal of Parallel and Distributed Computing},
volume = {73},
number = {6},
pages = {713-728},
keywords = {Ant Programming, GP-GPU, Multi-objective Optimization},
pubstate = {published},
tppubtype = {article}
}
|
Cano, A; Olmo, J L; Ventura, S Programación Automática con Colonias de Hormigas Multi-Objetivo en GPUs Inproceedings IX Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'13, pp. 288–297, 2013. BibTeX | Tags: Ant Programming, GP-GPU, Multi-objective Optimization @inproceedings{Cano-2013-MAEB,
title = {Programaci\'{o}n Autom\'{a}tica con Colonias de Hormigas Multi-Objetivo en GPUs},
author = {Cano, A. and Olmo, J. L. and Ventura, S.},
year = {2013},
date = {2013-01-01},
booktitle = {IX Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas and Algoritmos Evolutivos y Bioinspirados, MAEB'13},
pages = {288--297},
keywords = {Ant Programming, GP-GPU, Multi-objective Optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2012
|
Cano, A; Zafra, A; Ventura, S Speeding up the evaluation phase of GP classification algorithms on GPUs Journal Article Soft Computing, 16 (2), pp. 187-202, 2012. Links | BibTeX | Tags: Classification, Genetic Programming, GP-GPU @article{Cano-2012-SOCO,
title = {Speeding up the evaluation phase of GP classification algorithms on GPUs},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/s00500-011-0713-4},
doi = {10.1007/s00500-011-0713-4},
year = {2012},
date = {2012-01-01},
journal = {Soft Computing},
volume = {16},
number = {2},
pages = {187-202},
keywords = {Classification, Genetic Programming, GP-GPU},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Cano, A; Zafra, A; Ventura, S A parallel genetic programming algorithm for classification Inproceedings Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS'11, pp. 172-181, 2011. Links | BibTeX | Tags: Classification, Genetic Programming, GP-GPU @inproceedings{Cano-2011-HAIS_2,
title = {A parallel genetic programming algorithm for classification},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-642-21219-2-23},
doi = {10.1007/978-3-642-21219-2-23},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS'11},
volume = {6678},
number = {1},
pages = {172-181},
keywords = {Classification, Genetic Programming, GP-GPU},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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}
}
|
Cano, A; Zafra, A; Ventura, S Solving classification problems using genetic programming algorithms on GPUs Inproceedings Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10, pp. 17-26, 2010. Links | BibTeX | Tags: Classification, Genetic Programming, GP-GPU @inproceedings{Cano-2010-HAIS,
title = {Solving classification problems using genetic programming algorithms on GPUs},
author = {Cano, A. and Zafra, A. and Ventura, S.},
url = {http://dx.doi.org/10.1007/978-3-642-13803-4_3},
doi = {10.1007/978-3-642-13803-4_3},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10},
volume = {6077 LNAI},
number = {PART 2},
pages = {17-26},
keywords = {Classification, Genetic Programming, GP-GPU},
pubstate = {published},
tppubtype = {inproceedings}
}
|