Contact

• workRoom C82 School of Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• workn/a
• I.TrigueroVelazquez@nottingham.ac.uk
• http://www.cs.nott.ac.uk/~pszit/

Biography

Isaac Triguero received his M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Granada, Spain, in 2009 and 2014, respectively. He is currently an Assistant Professor of Data Science at the University of Nottingham since June 2016. His work is mostly concerned with the research of novel methodologies for big data analytics. Dr Triguero has published a great number of international publications in the fields of Big Data, Machine Learning and Optimisation. He is a Section Editor-in-Chief of the Machine Learning and Knowledge Extraction journal, and an associate editor of the Big Data and Cognitive Computing journal, and the IEEE Access journal. He has acted as Program Co-Chair of the IEEE Conference on Smart Data (2016), the IEEE Conference on Big Data Science and Engineering (2017), and the IEEE International Congress on Big Data (2018). Dr Triguero is currently leading a Knowledge Transfer Partnership project funded by Innovative UK and the energy provider E.ON that investigates Smart Metering data.

Selected Publications

• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2015. Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study KNOWLEDGE AND INFORMATION SYSTEMS. 42(2), 245-284
• TRIGUERO, ISAAC and VENS, CELINE, 2016. Labelling strategies for hierarchical multi-label classification techniques PATTERN RECOGNITION. 56, 170-183
• TRIGUERO, ISAAC, PERALTA, DANIEL, BACARDIT, JAUME, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2015. MRPR: A Map Reduce solution for prototype reduction in big data classification NEUROCOMPUTING. 150, 331-345
• TRIGUERO, ISAAC, DERRAC, JOAQUIN, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2012. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS. 42(1), 86-100

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• GONZÁLEZ, MABEL, BERGMEIR, CHRISTOPH, TRIGUERO, ISAAC, RODR'IGUEZ, YANET and BEN'ITEZ, JOSÉ M., 2017. Self-labeling techniques for semi-supervised time series classification: an empirical study Knowledge and Information Systems.
• G. P. FIGUEREDO, I. TRIGUERO, M. MESGARPOUR, A. M. GUERRA, J. M. GARIBALDI and R. I. JOHN, 2017. An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots IEEE Transactions on Emerging Topics in Computational Intelligence. 1(4), 248-258
• I. TRIGUERO, M. GALAR, H. BUSTINCE and F. HERRERA, 2017. A first attempt on global evolutionary undersampling for imbalanced big data In: 2017 IEEE Congress on Evolutionary Computation (CEC). 2054-2061
• J. MAILLO, J. LUENGO, S. GARCÍA, F. HERRERA and I. TRIGUERO, 2017. Exact fuzzy k-nearest neighbor classification for big datasets In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 1-6
• I. TRIGUERO, G. P. FIGUEREDO, M. MESGARPOUR, J. M. GARIBALDI and R. I. JOHN, 2017. Vehicle incident hot spots identification: an approach for big data In: 2017 IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE).
• GONZALEZ, MABEL, BERGMEIR, CHRISTOPH, TRIGUERO, ISAAC, RODRIGUEZ, YANET and BENITEZ, JOSE M., 2016. On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems INFORMATION SCIENCES. 328, 42-59
• TRIGUERO, ISAAC and VENS, CELINE, 2016. Labelling strategies for hierarchical multi-label classification techniques PATTERN RECOGNITION. 56, 170-183
• PERALTA, DANIEL, TRIGUERO, ISAAC, GARCIA, SALVADOR, 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, 40-51
• J. MAILLO, S. RAMIREZ, I. TRIGUERO and F. HERRERA, 2016. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data Knowledge-Based Systems. (In Press.)
• S. VLUYMANS, I. TRIGUERO, C. CORNELIS and Y. SAEYS, 2016. EPRENNID: An Evolutionary Prototype Reduction Based Ensemble for Nearest Neighbor Classification of Imbalanced Data Neurocomputing. (In Press.)
• PERALTA, DANIEL, GALAR, MIKEL, TRIGUERO, ISAAC, PATERNAIN, DANIEL, GARCIA, SALVADOR, BARRENECHEA, EDURNE, BENITEZ, JOSE M., BUSTINCE, HUMBERTO and HERRERA, FRANCISCO, 2015. A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation INFORMATION SCIENCES. 315, 67-87
• TRIGUERO, ISAAC, DEL RIO, SARA, LOPEZ, VICTORIA, BACARDIT, JAUME, BENITEZ, JOSE 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, 69-79
• GALAR, MIKE, DERRAC, JOAQUIN, PERALTA, DANIEL, TRIGUERO, ISAAC, PATERNAIN, DANIEL, LOPEZ-MOLINA, CARLOS, GARCIA, SALVADOR, BENITEZ, JOSE M., PAGOLA, MIGUEL, BARRENECHE, EDURNE, BUSTINCE, HUMBERTO and HERRERA, FRANCISCO B, 2015. A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal KNOWLEDGE-BASED SYSTEMS. 81, 98-116
• TRIGUERO, ISAAC, 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), 622-634
• GALAR, MIKEL, DERRAC, JOAQUIN, PERALTA, DANIEL, TRIGUERO, ISAAC, PATERNAIN, DANIEL, LOPEZ-MOLINA, CARLOS, GARCIA, SALVADOR, BENITEZ, JOSE M., PAGOLA, MIGUEL, BARRENECHEA, EDURNE, BUSTINCE, HUMBERTO and HERRERA, FRANCISCO, 2015. A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models KNOWLEDGE-BASED SYSTEMS. 81, 76-97
• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2015. Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study KNOWLEDGE AND INFORMATION SYSTEMS. 42(2), 245-284
• PERALTA, DANIEL, DEL RIO, SARA, RAMIREZ-GALLEGO, SERGIO, TRIGUERO, ISAAC, BENITEZ, JOSEM. and HERRERA, FRANCISCO, 2015. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach MATHEMATICAL PROBLEMS IN ENGINEERING.
• TRIGUERO, ISAAC, PERALTA, DANIEL, BACARDIT, JAUME, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2015. MRPR: A Map Reduce solution for prototype reduction in big data classification NEUROCOMPUTING. 150, 331-345
• PERALTA, D., TRIGUERO, I., SANCHEZ-REILLO, R., HERRERA, F. and BENITEZ, J. M., 2014. Fast fingerprint identification for large databases PATTERN RECOGNITION. 47(2), 588-602
• TRIGUERO, ISAAC, SAEZ, JOSE A., LUENGO, JULIAN, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2014. On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification NEUROCOMPUTING. 132, 30-41
• TRIGUERO, ISAAC, PERALTA, DANIEL, BACARDIT, JAUME, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2014. A Combined MapReduce-Windowing Two-Level Parallel Scheme for Evolutionary Prototype Generation 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 3036-3043
• KRAWCZYK, BARTOSZ, TRIGUERO, ISAAC, GARCIA, SALVADOR, WOZNIAK, MICHAL and HERRERA, FRANCISCO, 2014. A First Attempt on Evolutionary Prototype Reduction for Nearest Neighbor One-Class Classification 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 747-753
• PERALTA, DANIEL, GALAR, MIKEL, TRIGUERO, ISAAC, MIGUEL-HURTADO, OSCAR, BENITEZ, JOSE M. and HERRERA, FRANCISCO, 2014. Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 32, 37-53
• GOMEZ-LORENTE, DANIEL, TRIGUERO, ISAAC, GIL, CONSOLACION and RABAZA, O., 2014. Multi-objective evolutionary algorithms for the design of grid-connected solar tracking systems INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS. 61, 371-379
• LOPEZ, VICTORIA, TRIGUERO, ISAAC, CARMONA, CRISTOBAL J., GARCIA, SALVADOR and HERRERA, FRANCISCO, 2014. Addressing imbalanced classification with instance generation techniques: IPADE-ID NEUROCOMPUTING. 126, 15-28
• TRIGUERO, ISAAC, DERRAC, JOAQUIN, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2012. Integrating a differential evolution feature weighting scheme into prototype generation NEUROCOMPUTING. 97, 332-343
• DERRAC, JOAQUIN, TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2012. A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II. 7209, 176-187
• DERRAC, JOAQUIN, TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2012. Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS. 42(5), 1383-1397
• TRIGUERO, ISAAC, DERRAC, JOAQUIN, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2012. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS. 42(1), 86-100
• GARCIA, SALVADOR, DERRAC, JOAQUIN, TRIGUERO, ISAAC, CARMONA, CRISTOBAL J. and HERRERA, FRANCISCO, 2012. Evolutionary-based selection of generalized instances for imbalanced classification KNOWLEDGE-BASED SYSTEMS. 25(1), 3-12
• BERGMEIR, CHRISTOPH, TRIGUERO, ISAAC, MOLINA, DANIEL, LUIS AZNARTE, JOSE and MANUEL BENITEZ, JOSE, 2012. Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 23(11), 1841-1847
• GOMEZ-LORENTE, DANIEL, TRIGUERO, ISAAC, GIL, CONSOLACION and ESPIN ESTRELLA, A., 2012. Evolutionary algorithms for the design of grid-connected PV-systems EXPERT SYSTEMS WITH APPLICATIONS. 39(9), 8086-8094
• BERGMEIR, CHRISTOPH, TRIGUERO, ISAAC, VELASCO, FRANCISCO and MANUEL BENITEZ, JOSE, 2012. Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT I. 7208, 464-473
• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2011. Enhancing IPADE Algorithm with a Different Individual Codification HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PART II. 6679, 262-270
• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2011. Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification PATTERN RECOGNITION. 44(4), 901-916
• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2010. IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification IEEE TRANSACTIONS ON NEURAL NETWORKS. 21(12), 1984-1990
• GARCIA, SALVADOR, DERRAC, JOAQUIN, TRIGUERO, ISAAC, CARMONA, CRISTOBAL and HERRERA, FRANCISCO, 2010. Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT I, PROCEEDINGS. 6096, 601-610
• TRIGUERO, ISAAC, GARCIA, SALVADOR and HERRERA, FRANCISCO, 2010. A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC).