Director

Isaac Triguero Velázquez

Dirección del Instituto, Highly Cited Researcher

Universidad de Granada

Top 2% de investigadores más citados del mundo (Stanford-Elsevier, 2024, 2025)

Isaac Triguero Velázquez (Granada, 1986) es Profesor Titular del departamento de Ciencias de la Computación e Inteligencia Artificial de la Universidad de Granada. Desde mayo de 2026, es Director del Instituto Andaluz Interuniversitario en Ciencia de Datos e Inteligencia Computacional (DaSCI).

Obtuvo su doctorado en Informática por la Universidad de Granada en 2014, investigando el diseño de algoritmos evolutivos para el preprocesamiento de datos. Tras una etapa postdoctoral en la Universidad de Gante (Bélgica), se incorporó en 2016 como Profesor de Ciencia de Datos en la Universidad de Nottingham (Reino Unido), donde fue promovido a Profesor Titular (Associate Professor) en 2020. En 2022 regresó a Granada como investigador distinguido María Zambrano. Actualmente está acreditado por la ANECA como Catedrático de Universidad.

Su investigación se centra en el desarrollo de metodologías de análisis de datos a gran escala y optimización, con especial atención a la Inteligencia Artificial de Propósito General (GPAIS), el aprendizaje autosupervisado, la detección de anomalías, la IA explicable y el aprendizaje federado. Entre sus trabajos más destacados figuran técnicas punteras en preprocesamiento de datos para Big Data y aplicaciones en los campos de la energía y la salud, incluyendo una publicación en The Lancet Respiratory Medicine (IF>30).

Su índice H es 39, con más de 7.000 citas (Google Scholar), 60 artículos en revistas científicas (la gran mayoría en Q1) y más de 40 publicaciones en congresos. Pertenece al Top 2% de investigadores más citados del mundo según el ranking de Stanford.

En el ámbito de la financiación, ha obtenido más de medio millón de libras en proyectos como investigador principal durante su etapa en Nottingham, incluyendo contratos de transferencia con E.ON y Unilever. En la actualidad co-lidera tres proyectos sobre GPAIS: el proyecto IAFER (1,6M€, Programa ENIA), el proyecto A3GPAIS (122K€, Ministerio de Ciencia) y el proyecto europeo KnoWare (270K€, Horizon Europe). Es además Co-IP del Hub de Innovación Digital Andaluz en IA y Robótica (AIRA, Horizon Europe).

Ha dirigido 8 tesis doctorales y actualmente supervisa 7 doctorandos. Ha sido Program Co-Chair de tres conferencias sobre Big Data, incluyendo el IEEE International Congress on Big Data 2018. Es Section Editor-in-Chief de la revista Machine Learning and Knowledge Extraction y editor asociado de Neurocomputing e IEEE Access. Ha sido evaluador externo para el ERC, Ikerbasque y el gobierno suizo.

Es autor de tres libros: «Conceptual Programming with Python» (2019), «Large Scale Data Analytics with Python and Spark» (Cambridge University Press, 2023) y «Análisis de datos a gran escala con Python y Spark» (Anaya, 2025). Ha contribuido en múltiples ocasiones al canal de YouTube Computerphile (más de 2,3 millones de suscriptores).

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Publicaciones

Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation

Expert Systems with Applications

2026
journal-article

10.1016/j.eswa.2025.130554

A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning

2025
book-chapter

10.1007/978-3-031-74186-9_15

AutoEnergy: An automated feature engineering algorithm for energy consumption forecasting with AutoML

Knowledge-Based Systems

2025
journal-article

10.1016/j.knosys.2025.114300

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects

IEEE Transactions on Evolutionary Computation

2025
journal-article

10.1109/TEVC.2025.3530096

Generalising Stock Detection in Retail Cabinets with Minimal Data Using a DenseNet and Vision Transformer Ensemble

Machine Learning and Knowledge Extraction

2025
journal-article

10.3390/make7030066

Human Perceptions of Novel Visual and Non-Visual Explanations in High-Stakes Decision-Making Domains

2025
book-chapter

10.1007/978-3-031-78516-0_1

Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization

2025
book-chapter

10.1007/978-3-031-79032-4_27

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

Information Fusion

2024
journal-article

10.1016/j.inffus.2023.102135

Local-global methods for generalised solar irradiance forecasting

Applied Intelligence

2024
journal-article

10.1007/s10489-024-05273-9

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities

IEEE Access

2024
journal-article

10.1109/ACCESS.2024.3482572

SEGAL time series classification — Stable explanations using a generative model and an adaptive weighting method for LIME

Neural Networks

2024
journal-article

10.1016/j.neunet.2024.106345

An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME

IEEE International Conference on Fuzzy Systems

2023
conference-paper

10.1109/FUZZ52849.2023.10309814

AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting

arXiv

2023
other

10.48550/arXiv.2303.10732

Citizen Science and Machine Learning: Towards a Robust Large-Scale Automatic Classification in Astronomy

Astrophysics and Space Science Proceedings

2023
conference-paper

10.1007/978-3-031-34167-0_29

CzSL: Learning from citizen science, experts and unlabelled data in astronomical image classification

arXiv

2023
other

10.48550/arXiv.2302.00366

CzSL: Learning from citizen science, experts, and unlabelled data in astronomical image classification

Monthly Notices of the Royal Astronomical Society

2023
journal-article

10.1093/mnras/stad2852

Explaining time series classifiers through meaningful perturbation and optimisation

Information Sciences

2023
journal-article

10.1016/j.ins.2023.119334

GENERAL PURPOSE ARTIFICIAL INTELLIGENCE SYSTEMS (GPAIS): PROPERTIES, DEFINITION, TAXONOMY, OPEN CHALLENGES AND IMPLICATIONS

arXiv

2023
other

10.48550/arXiv.2307.14283

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data

2023
book-chapter

10.1007/978-3-031-40837-3_6

Identifying bird species by their calls in Soundscapes

Applied Intelligence

2023
journal-article

10.1007/s10489-023-04486-8

Local-Global Methods for Generalised Solar Irradiance Forecasting

arXiv

2023
other

THE ENERGY PREDICTION SMART-METER DATASET: ANALYSIS OF PREVIOUS COMPETITIONS AND BEYOND

arXiv

2023
other

10.48550/arXiv.2311.04007

A fusion spatial attention approach for few-shot learning

Information Fusion

2022
journal-article

10.1016/j.inffus.2021.11.019

Accelerated pattern search with variable solution size for simultaneous instance selection and generation

GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

2022
conference-paper

10.1145/3520304.3529020

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy

arXiv

2022
other

10.48550/arXiv.2212.10723

Feature Importance Identification for Time Series Classifiers

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

2022
conference-paper

10.1109/SMC53654.2022.9945205

Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort

The Lancet Digital Health

2022
journal-article

10.1016/S2589-7500(22)00173-X

SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction

Swarm and Evolutionary Computation

2022
journal-article

10.1016/j.swevo.2021.100991

Beyond global and local multi-target learning

Information Sciences

2021
journal-article

10.1016/j.ins.2021.08.022

Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree

IEEE Transactions on Emerging Topics in Computational Intelligence

2021
journal-article

10.1109/TETCI.2018.2869919

Decomposition-Fusion for Label Distribution Learning

Information Fusion

2021
journal-article

10.1016/j.inffus.2020.08.024

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

Applied Soft Computing

2021
journal-article

10.1016/j.asoc.2020.107033

Few-Shot Learning for Postnatal Gestational Age Estimation

Proceedings of the International Joint Conference on Neural Networks

2021
conference-paper

10.1109/IJCNN52387.2021.9534239

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout

Neurocomputing

2021
journal-article

10.1016/j.neucom.2021.02.024

Multigranulation Supertrust Model for Attribute Reduction

IEEE Transactions on Fuzzy Systems

2021
journal-article

10.1109/TFUZZ.2020.2975152

Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities

Neurocomputing

2021
journal-article

10.1016/j.neucom.2020.07.082

A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification

2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2020
conference-paper

10.1109/CEC48606.2020.9185774

A Local Search with a Surrogate Assisted Option for Instance Reduction

2020
book-chapter

10.1007/978-3-030-43722-0_37

Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach

IEEE International Conference on Fuzzy Systems

2020
conference-paper

10.1109/FUZZ48607.2020.9177626

Current trends of granular data mining for biomedical data analysis

Information Sciences

2020
journal-article

10.1016/j.ins.2019.10.002

Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems

2020
book-chapter

10.1007/978-3-030-34409-2_11

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

AUTHORS: Maillo, J.; Garcia, S.; Luengo, J.; Herrera, F.; Triguero, I.

IEEE Transactions on Fuzzy Systems

2020
journal-article

10.1109/TFUZZ.2019.2936356

Galaxy Image Classification Based on Citizen Science Data: A Comparative Study

IEEE Access

2020
journal-article

10.1109/ACCESS.2020.2978804

General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting

2020
book-chapter

10.1007/978-3-030-50143-3_57

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data

IEEE Access

2020
journal-article

10.1109/ACCESS.2020.2991800

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification

IEEE International Conference on Fuzzy Systems

2019
conference-paper

10.1109/FUZZ-IEEE.2019.8858830

A review on the self and dual interactions between machine learning and optimisation

Progress in Artificial Intelligence

2019
journal-article

10.1007/s13748-019-00185-z

A simulation-based optimisation approach for inventory management of highly perishable food

ICORES 2019 - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems

2019
conference-paper

10.5220/0007401304060413

A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective

IEEE Access

2019
journal-article

10.1109/ACCESS.2019.2917228

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction

2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2019
conference-paper

10.1109/CEC.2019.8789957

Guest Editorial: Computational Intelligence for Big Data Analytics

Cognitive Computation

2019
journal-article

10.1007/s12559-019-09647-x

Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification

Information Sciences

2019
journal-article

10.1016/j.ins.2018.12.011

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing

IEEE Access

2019
journal-article

10.1109/ACCESS.2019.2908776

Instance reduction for one-class classification

Knowledge and Information Systems

2019
journal-article

10.1007/s10115-018-1220-z

Introduction to the special issue on human-interactionaware data analytics for cyber-physical systems

ACM Transactions on Cyber-Physical Systems

2019
journal-article

10.1145/3344260

L2AE-D: Learning to aggregate embeddings for few-shot learning with meta-level dropout

arXiv

2019
other

10.48550/arxiv.1904.04339

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

Neurocomputing

2019
journal-article

10.1016/j.neucom.2019.07.034

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams

Cognitive Computation

2019
journal-article

10.1007/s12559-019-09638-y

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

2019
journal-article

10.1002/widm.1289

Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads

Powder Technology

2019
journal-article

10.1016/j.powtec.2019.04.072

A Genetic Algorithm with Composite Chromosome for Shift Assignment of Part-time Employees

2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2018
conference-paper

10.1109/CEC.2018.8477818

A preliminary study on automatic algorithm selection for short-term traffic forecasting

Studies in Computational Intelligence

2018
book-chapter

10.1007/978-3-319-99626-4_18

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification

AUTHORS: Maillo, J.; Luengo, J.; García, S.; Herrera, F.; Triguero, I.

IEEE International Conference on Fuzzy Systems

2018
conference-paper

10.1109/FUZZ-IEEE.2018.8491595

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

AUTHORS: Peralta, D.; Triguero, I.; García, S.; Saeys, Y.; Benitez, J.M.; Herrera, F.

International Journal of Intelligent Systems

2018
journal-article

10.1002/int.21948

Self-labeling techniques for semi-supervised time series classification: an empirical study

Knowledge and Information Systems

2018
journal-article

10.1007/s10115-017-1090-9

A first attempt on global evolutionary undersampling for imbalanced big data

2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

2017
conference-paper

10.1109/CEC.2017.7969553

An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots

IEEE Transactions on Emerging Topics in Computational Intelligence

2017
journal-article

10.1109/TETCI.2017.2721960

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

AUTHORS: Peralta, D.; Triguero, I.; García, S.; Saeys, Y.; Benitez, J.M.; Herrera, F.

Knowledge-Based Systems

2017
journal-article

10.1016/j.knosys.2017.03.014

Exact fuzzy k-nearest neighbor classification for big datasets

AUTHORS: Maillo, J.; Luengo, J.; García, S.; Herrera, F.; Triguero, I.

IEEE International Conference on Fuzzy Systems

2017
conference-paper

10.1109/FUZZ-IEEE.2017.8015686

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm

AUTHORS: Triguero, I.; Maillo, J.; Luengo, J.; Garcia, S.; Herrera, F.

Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016

2017
conference-paper

10.1109/iThings-GreenCom-CPSCom-SmartData.2016.177

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

International Journal of Computational Intelligence Systems

2017
journal-article

10.2991/ijcis.10.1.82

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data

Knowledge-Based Systems

2017
journal-article

10.1016/j.knosys.2016.06.012

Message from the IEEE BigDataSE 2017 Program Chairs

Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017

2017
conference-paper

10.1109/Trustcom/BigDataSE/ICESS.2017.195

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

arXiv

2017
other

10.48550/arxiv.1703.07270

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

AUTHORS: Peralta, D.; Triguero, I.; García, S.; Herrera, F.; Benitez, J.M.

Information Fusion

2016
journal-article

10.1016/j.inffus.2016.03.002

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

Neurocomputing

2016
journal-article

10.1016/j.neucom.2016.08.026

Evolutionary undersampling for extremely imbalanced big data classification under apache spark

2016 IEEE Congress on Evolutionary Computation, CEC 2016

2016
conference-paper

10.1109/CEC.2016.7743853

Labelling strategies for hierarchical multi-label classification techniques

Pattern Recognition

2016
journal-article

10.1016/j.patcog.2016.02.017

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

Information Sciences

2016
journal-article

10.1016/j.ins.2015.07.061

A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification

Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

2015
conference-paper

10.1109/Trustcom.2015.577

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

AUTHORS: Galar, M.; Derrac, J.; Peralta, D.; Triguero, I.; Paternain, D.; Lopez-Molina, C.; García, S.; Benítez, J.M.; Pagola, M.; Barrenechea, E.; Bustince, H.; Herrera, F.

Knowledge-Based Systems

2015
journal-article

10.1016/j.knosys.2015.02.008

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

AUTHORS: Galar, M.; Derrac, J.; Peralta, D.; Triguero, I.; Paternain, D.; Lopez-Molina, C.; García, S.; Benítez, J.M.; Pagola, M.; Barrenechea, E.; Bustince, H.; Herrera, F.

Knowledge-Based Systems

2015
journal-article

10.1016/j.knosys.2015.02.015

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation

AUTHORS: Peralta, D.; Galar, M.; Triguero, I.; Paternain, D.; García, S.; Barrenechea, E.; Benítez, J.M.; Bustince, H.; Herrera, F.

Information Sciences

2015
journal-article

10.1016/j.ins.2015.04.013

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

AUTHORS: Peralta, D.; Del Río, S.; Ramírez-Gallego, S.; Triguero, I.; Benitez, J.M.; Herrera, F.

Mathematical Problems in Engineering

2015
journal-article

10.1155/2015/246139

Evolutionary undersampling for imbalanced big data classification

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

2015
conference-paper

10.1109/CEC.2015.7256961

MRPR: A MapReduce solution for prototype reduction in big data classification

Neurocomputing

2015
journal-article

10.1016/j.neucom.2014.04.078

ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem

AUTHORS: Triguero, I.; Del Río, S.; López, V.; Bacardit, J.; Benítez, J.M.; Herrera, F.

Knowledge-Based Systems

2015
journal-article

10.1016/j.knosys.2015.05.027

SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification

IEEE Transactions on Cybernetics

2015
journal-article

10.1109/TCYB.2014.2332003

Self-labeled techniques for semi-supervised learning: Taxonomy, software and empirical study

Knowledge and Information Systems

2015
journal-article

10.1007/s10115-013-0706-y

A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

2014
conference-paper

10.1109/CEC.2014.6900490

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

2014
conference-paper

10.1109/CEC.2014.6900469

Addressing imbalanced classification with instance generation techniques: IPADE-ID

Neurocomputing

2014
journal-article

10.1016/j.neucom.2013.01.050

Fast fingerprint identification for large databases

AUTHORS: Peralta, D.; Triguero, I.; Sanchez-Reillo, R.; Herrera, F.; Benitez, J.M.

Pattern Recognition

2014
journal-article

10.1016/j.patcog.2013.08.002

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms

AUTHORS: Peralta, D.; Galar, M.; Triguero, I.; Miguel-Hurtado, O.; Benitez, J.M.; Herrera, F.

Engineering Applications of Artificial Intelligence

2014
journal-article

10.1016/j.engappai.2014.02.016

Multi-objective evolutionary algorithms for the design of grid-connected solar tracking systems

International Journal of Electrical Power and Energy Systems

2014
journal-article

10.1016/j.ijepes.2014.03.064

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

AUTHORS: Triguero, I; Saez, JA; Luengo, J; Garcia, S; Herrera, F

Neurocomputing

2014
journal-article

10.1016/j.neucom.2013.05.055

A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012
journal-article

10.1007/978-3-642-28931-6_17

A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification

AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

2012
journal-article

10.1109/TSMCC.2010.2103939

Evolutionary algorithms for the design of grid-connected PV-systems

Expert Systems with Applications

2012
journal-article

10.1016/j.eswa.2012.01.159

Evolutionary-based selection of generalized instances for imbalanced classification

AUTHORS: Carmona, Cristobal J., Derrac, Joaquin, Garcia, Salvador, Herrera, Francisco, Triguero, Isaac

Knowledge-Based Systems

2012
journal-article

10.1016/j.knosys.2011.01.012

Integrating a differential evolution feature weighting scheme into prototype generation

AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

Neurocomputing

2012
journal-article

10.1016/j.neucom.2012.06.009

Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms

AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

2012
journal-article

10.1109/TSMCB.2012.2191953

Time series modeling and forecasting using memetic algorithms for regime-switching models

IEEE Transactions on Neural Networks and Learning Systems

2012
journal-article

10.1109/TNNLS.2012.2216898

A study of the scaling up capabilities of stratified prototype generation

AUTHORS: Triguero, I.; Derrac, J.; Herrera, F.; García, S.

Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011

2011
conference-paper

10.1109/NaBIC.2011.6089611

Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification

AUTHORS: Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

Pattern Recognition

2011
journal-article

10.1016/j.patcog.2010.10.020

Enhancing IPADE algorithm with a different individual codification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011
journal-article

10.1007/978-3-642-21222-2_32

A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

2010
conference-paper

10.1109/CEC.2010.5586477

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification

AUTHORS: Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Neural Networks

2010
journal-article

10.1109/TNN.2010.2087415

Contacto

triguero@decsai.ugr.es

Edificio UGR-AI, Avda. del Conocimiento 37, 18017 Granada

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