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52 entries « 1 of 2 »

2019

Cano, A; Krawczyk, B

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams Journal Article

Pattern Recognition, 87 , pp. 248-268, 2019.

Links | BibTeX | Tags: Classification, Classification Rules, Genetic Programming, GP-GPU, Grammar-Based Genetic Programming

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

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

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

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

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

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

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

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

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

Moyano, J M; Gibaja, E; Cios, K J; Ventura, S

An evolutionary approach to build ensembles of multi-label classifiers Journal Article

Information Fusion, 2018, ISSN: 1566-2535.

Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Olmo, J L; Romero, J R; Ventura, S

Multi-objective ant programming for mining classification rules Inproceedings

Proceedings of the 15th European Conference on Genetic Programming, EuroGP'12, pp. 146-157, 2012.

Links | BibTeX | Tags: Ant Programming, Classification, Multi-objective Optimization

Olmo, J L; Cano, A; Romero, J R; Ventura, S

Binary and multiclass imbalanced classification using multi-objective ant programming Inproceedings

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12, pp. 70-76, 2012.

Links | BibTeX | Tags: Ant Programming, Classification, Multi-objective Optimization

Olmo, J L; Cano, A; Romero, J R; Ventura, S

Programación con Hormigas Multi-Objetivo para la Extracción de Reglas de Clasificación Inproceedings

VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'12, pp. 219–226, 2012.

BibTeX | Tags: Ant Programming, Classification, Multi-objective Optimization

Olmo, J L; Romero, J R; Ventura, S

Classification rule mining using ant programming guided by grammar with multiple Pareto fronts Journal Article

Soft Computing, 16 (12), pp. 2143-2163, 2012.

Links | BibTeX | Tags: Ant Programming, Classification, Multi-objective Optimization

2011

Cano, A; Luna, J M; Olmo, J L; Ventura, S

JCLEC meets WEKA! Inproceedings

Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, pp. 388-395, Wroclaw, Poland, 2011.

Links | BibTeX | Tags: Classification, Evolutionary Algorithms

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

Cano, A; Zafra, A; Ventura, S

An EP algorithm for learning highly interpretable classifiers Inproceedings

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA'11, pp. 325-330, 2011.

Links | BibTeX | Tags: Classification, Classification Rules, Genetic Programming

Ávila, J L; Gibaja, E; Zafra, A; Ventura, S

A Gene Expression Programming Algorithm for Multi-Label Classification Journal Article

Multiple-Valued Logic and Soft Computing, 17 (2-3), pp. 183–206, 2011.

Links | BibTeX | Tags: Classification, Discriminant Functions, Gene Expression Programming (GEP), Multi-label Learning

Olmo, J L; Romero, J R; Ventura, S

Using ant programming guided by grammar for building rule-based classifiers Journal Article

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41 (6), pp. 1585-1599, 2011.

Links | BibTeX | Tags: Ant Programming, Classification, Classification Rules

2010

Ávila, J L; Gibaja, E; Ventura, S

Evolving multi-label classification rules with gene expression programming: a preliminary study Inproceedings

International Conference on Hybrid Artificial Intelligence Systems, pp. 9–16, Springer 2010.

BibTeX | Tags: Classification, Classification Rules, Gene Expression Programming (GEP), Multi-label Learning

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

Espejo, P G; Ventura, S; Herrera, F

A survey on the application of genetic programming to classification Journal Article

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 40 (2), pp. 121-144, 2010.

Links | BibTeX | Tags: Classification, Genetic Programming

Gibaja, E; Victoriano, M; Ávila, J L; Ventura, S

A TDIDT technique for multi-label classification Inproceedings

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pp. 519-524, 2010.

Links | BibTeX | Tags: Classification, Multi-label Learning

Olmo, J L; Luna, J M; Romero, J R; Ventura, S

Minería de Reglas de Clasificación mediante un Algoritmo de Programación Automática con Hormigas Inproceedings

VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, pp. 243-250, Valencia, España, 2010.

BibTeX | Tags: Ant Programming, Bioinspired algorithms, Classification, Evolutionary Algorithms, Supervised Learning

Olmo, J L; Luna, J M; Romero, J R; Ventura, S

An Automatic Programming ACO-Based Algorithm for Classification Rule Mining Inproceedings

Proceedings of the 8th International Conference on Practical Applications of Agents and Multiagent Systems, pp. 649–656, Salamanca, Spain, 2010.

Links | BibTeX | Tags: Ant Programming, Bioinspired algorithms, Classification, Evolutionary Algorithms, Supervised Learning

Olmo, J L; Romero, J R; Ventura, S

A grammar based ant programming algorithm for mining classification rules Inproceedings

Proceedings of the IEEE World Congress on Computational Intelligence, WCCI'10, 2010.

Links | BibTeX | Tags: Ant Programming, Classification, Classification Rules

52 entries « 1 of 2 »