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Number of items: 20.

Article

Krawczyk, Bartosz and Triguero, Isaac and García, Salvador and Woźniak, Michał and Herrera, Francisco (2018) Instance reduction for one-class classification. Knowledge and Information Systems . ISSN 0219-1377

Peralta, Daniel and Triguero, Isaac and García, Salvador and Saeys, Yvan and Benitez, Jose M. and Herrera, Francisco (2017) On the use of convolutional neural networks for robust classification of multiple fingerprint captures. International Journal of Intelligent Systems, 33 (1). pp. 213-230. ISSN 0884-8173

Triguero, Isaac and González, Sergio and Moyano, Jose M. and García, Salvador and Alcalá-Fdez, Jesús and Luengo, Julian and Fernández, Alberto and del Jesús, Maria José and Sánchez, Luciano and Herrera, Francisco (2017) KEEL 3.0: an open source software for multi-stage analysis in data mining. International Journal of Computational Intelligence Systems, 10 (1). pp. 1238-1249. ISSN 1875-6883

González, Mabel and Bergmeir, Christoph and Triguero, Isaac and Rodríguez, Yanet and Benítez, José M. (2017) Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowledge and Information Systems . ISSN 0219-3116

Figueredo, Grazziela P. and Triguero, Isaac and Mesgarpour, Mohammad and Maciel Guerra, Alexandre and Garibaldi, Jonathan M. and John, Robert (2017) Detecting danger in roads: an immune-inspired technique to identify heavy goods vehicles incident hot spots. IEEE Transactions on Emerging Topics in Computational Intelligence . ISSN 2471-285X (In Press)

Peralta, Daniel and Triguero, Isaac and García, Salvador and Saeys, Yvan and Benitez, Jose M. and Herrera, Francisco (2017) Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowledge-Based Systems, 126 . pp. 91-103. ISSN 1872-7409

Vluymans, Sarah and Triguero, Isaac and Cornelis, Chris and Saeys, Yvan (2016) EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing, 216 . pp. 596-610. ISSN 0925-2312

Peralta, Daniel and Triguero, Isaac and García, Salvador and Herrera, Francisco and Benitez, Jose M. (2016) DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Information Fusion, 32 (Part A). pp. 40-51. ISSN 1566-2535

Maillo, Jesus and Ramirez, Sergio and Triguero, Isaac and Herrera, Francisco (2016) kNN-IS: an iterative spark-based design of the k-nearest neighbors classifier for big data. Knowledge-Based Systems . ISSN 1872-7409 (In Press)

Triguero, Isaac and Vens, Celine (2016) Labelling strategies for hierarchical multi-label classification techniques. Pattern Recognition, 56 . pp. 170-183. ISSN 0031-3203

Triguero, Isaac and del Río, Sara and López, Victoria and Bacardit, Jaume and Benítez, José M. and Herrera, Francisco (2015) ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem. Knowledge-Based Systems, 87 . pp. 69-79. ISSN 1872-7409

Triguero, Isaac and Garcia, Salvador and Herrera, Francisco (2015) SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification. IEEE Transactions on Cybernetics, 45 (4). pp. 622-634. ISSN 2168-2267

Triguero, Isaac and Peralta, Daniel and Bacardit, Jaume and García, Salvador and Herrera, Francisco (2015) MRPR: a MapReduce solution for prototype reduction in big data classification. Neurocomputing, 150 (A). pp. 331-345. ISSN 0925-2312

Conference or Workshop Item

Xue, Ning and Landa-Silva, Dario and Triguero, Isaac and Figueredo, Grazziela P. (2018) A genetic algorithm with composite chromosome for shift assignment of part-time employees. In: 2018 IEEE Congress in Evolutionary Computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil.

Jiménez, Manuel and Triguero, Isaac and John, Robert (2018) A first approach for handling uncertainty in citizen science. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), 8-12 Jul 2018, Rio de Janeiro, Brazil. (In Press)

Triguero, Isaac and Figueredo, Grazziela P. and Mesgarpour, Mohammad and Garibaldi, Jonathan M. and John, Robert (2017) Vehicle incident hot spots identification: an approach for big data. In: 11th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE)i, 1-4 August 2017, Sydney, Australia.

Maillo, Jesus and Luengo, Julian and García, Salvador and Herrera, Francisco and Triguero, Isaac (2017) Exact fuzzy k-Nearest neighbor classification for big datasets. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), 9-12 Jul 2017, Naples, Italy.

Triguero, Isaac and Galar, M. and Bustince, H. and Herrera, Francisco (2017) A first attempt on global evolutionary undersampling for imbalanced big data. In: IEEE Congress on Evolutionary Computation (CEC 2017), 5-8 Jun 2017, San Sebastian, Spain.

Triguero, Isaac and Maillo, Jesus and Luengo, Julian and García, Salvador and Herrera, Francisco (2016) From Big data to Smart Data with the K-Nearest Neighbours algorithm. In: IEEE International Conference on Smart Data (Smart Data 2016), 16-19 December 2016, Chengdu, China.

Triguero, Isaac and Galar, M. and Merino, D. and Maillo, Jesus and Bustince, H. and Herrera, Francisco (2016) Evolutionary undersampling for extremely imbalanced big data classification under apache spark. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 24-29 July, 2016, Vancouver, Canada.

This list was generated on Sat Feb 27 06:45:17 2021 UTC.