I. Triguero

发表

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

Isaac Triguero, Robert John, Manuel Jiménez, 2020, IEEE Access.

Robust classification of different fingerprint copies with deep neural networks for database penetration rate reduction

J. M. Benítez, S. García, Y. Saeys, 2017 .

PROTOTYPE GENERATION FOR NEAREST NEIGHBOR CLASSIFICATION : SURVEY OF METHODS 1 Prototype Generation for Nearest Neighbor Classification : Survey of Methods

S. García, F. Herrera, J. Derrac, 2011 .

Survey of New Approaches on Prototype Selection and Generation

S. García, F. Herrera, J. Derrac, 2011 .

Virtual Asphalt to Predict Roads’ Air Voids and Hydraulic Conductivity

I. Triguero, Alvaro García, M. Aboufoul, 2018 .

Triguero, Isaac and Vens, Celine (2016) Labelling strategies for hierarchical multi-label classification

C. Vens, I. Triguero, 2017 .

Comparison of KEEL versus open source Data Mining tools : Knime and Weka software Complementary Material for the paper KEEL : Multi-Stage Analysis in Data Mining

José A. Sáez, S. García, F. Herrera, 2016 .

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,

S. García, Alberto Fernández, J. Alcalá-Fdez, 2017 .

Computational Intelligence for Big Data Analytics

M. Galar, I. Triguero, A. Fernández, 2019 .

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

L. Wain, R. Allen, I. Noth, 2022, The Lancet. Digital health.

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

S. García, F. Herrera, I. Triguero, 2015, Knowledge and Information Systems.

Feature Importance Identification for Time Series Classifiers

I. Triguero, Christian Wagner, Han Meng, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

J. M. Benítez, Yanet Rodríguez, C. Bergmeir, 2017, Knowledge and Information Systems.

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

John M. Betts, Akylas C. Stratigakos, Nils Einecke, 2022, ArXiv.

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

Salvador García, Isaac Triguero, Swagatam Das, 2021, Neurocomputing.

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

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Int. J. Intell. Syst..

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints pdf

Francisco Herrera, Yvan Saeys, Salvador García, 2017, ArXiv.

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

Francisco Herrera, Salvador García, Joaquín Derrac, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

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

Robert Ivor John, Jonathan M. Garibaldi, Grazziela Patrocinio Figueredo, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

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

Antonio D. Masegosa, Isaac Triguero, Juan S. Angarita-Zapata, 2019, IEEE Access.

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

Francisco Herrera, Salvador García, Julián Luengo, 2020, IEEE Transactions on Fuzzy Systems.

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

Francisco Herrera, Julián Luengo, Isaac Triguero, 2018, WIREs Data Mining Knowl. Discov..

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

Francisco Herrera, Salvador García, Julián Luengo, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Francisco Herrera, Humberto Bustince, Mikel Galar, 2015, Inf. Sci..

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

Humberto Bustince, Carlos Lopez-Molina, Mikel Galar, 2015, Knowl. Based Syst..

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

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015, Knowl. Based Syst..

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

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Knowl. Based Syst..

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

Francisco Herrera, Salvador García, Isaac Triguero, 2015, Knowledge and Information Systems.

A survey of fingerprint classification Part II

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015 .

Instance reduction for one-class classification

Francisco Herrera, Salvador García, Bartosz Krawczyk, 2018, Knowledge and Information Systems.

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

Sergio Ramírez-Gallego, Daniel Peralta, José Manuel Benítez, 2015 .

Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems

Antonio D. Masegosa, Isaac Triguero, Juan S. Angarita-Zapata, 2020 .

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models

Daniel Molina, José Manuel Benítez, Isaac Triguero, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Multigranulation Supertrust Model for Attribute Reduction

Witold Pedrycz, Chin-Teng Lin, Weiping Ding, 2020, IEEE Transactions on Fuzzy Systems.

Addressing imbalanced classification with instance generation techniques: IPADE-ID

Francisco Herrera, Salvador García, Cristóbal J. Carmona, 2014, Neurocomputing.

Identifying bird species by their calls in Soundscapes

I. Triguero, K. Maclean, 2023, Applied Intelligence.

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

María José del Jesús, Francisco Herrera, Jesús Alcalá-Fdez, 2017, Int. J. Comput. Intell. Syst..

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

Francisco Herrera, Salvador García, Joaquín Derrac, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction

Grazziela Patrocinio Figueredo, Ning Xue, Dario Landa Silva, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

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

Mikel Galar, Salvador García, Dario Landa Silva, 2020, Appl. Soft Comput..

A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification

Mikel Galar, Dario Landa Silva, Isaac Triguero, 2020, 2020 IEEE Congress on Evolutionary Computation (CEC).

A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark

Francisco Herrera, Humberto Bustince, Mikel Galar, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

A first attempt on global evolutionary undersampling for imbalanced big data

Francisco Herrera, Humberto Bustince, Mikel Galar, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary undersampling for extremely imbalanced big data classification under apache spark

Francisco Herrera, Humberto Bustince, Mikel Galar, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Evolutionary undersampling for imbalanced big data classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

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

Consolación Gil, Isaac Triguero, Daniel Gómez-Lorente, 2012, Expert Syst. Appl..

A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection

Francisco Herrera, Salvador García, Joaquín Derrac, 2012, HAIS.

Evolutionary-based selection of generalized instances for imbalanced classification

Francisco Herrera, Salvador García, Cristóbal J. Carmona, 2012, Knowl. Based Syst..

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification

Francisco Herrera, Salvador García, Cristóbal J. Carmona, 2010, IEA/AIE.

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

Robert Ivor John, Isaac Triguero, Manuel Jiménez, 2019, Inf. Sci..

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

Ender Özcan, Isaac Triguero, Heda Song, 2019, Progress in Artificial Intelligence.

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

Francisco Herrera, Salvador García, Julián Luengo, 2014, Neurocomputing.

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

Enrique Onieva, Isaac Triguero, Mikel Canizo, 2019, Neurocomputing.

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

Hoang Lam Le, Ferrante Neri, I. Triguero, 2021, Swarm Evol. Comput..

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

Francisco Herrera, Salvador García, Isaac Triguero, 2011, Pattern Recognit..

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

Francisco Herrera, Salvador García, Isaac Triguero, 2010, IEEE Congress on Evolutionary Computation.

Beyond global and local multi-target learning

Celine Vens, Ricardo Cerri, Márcio P. Basgalupp, 2021, Inf. Sci..

Labelling strategies for hierarchical multi-label classification techniques

Celine Vens, Isaac Triguero, C. Vens, 2016, Pattern Recognit..

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

Andrea Chiarelli, Alvaro Garcia, I. Triguero, 2019, Powder Technology.

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

Francisco Herrera, Sergio Ramírez-Gallego, Isaac Triguero, 2017, Knowl. Based Syst..

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

Francisco Herrera, Salvador García, Jaume Bacardit, 2015, Neurocomputing.

Integrating a differential evolution feature weighting scheme into prototype generation

Francisco Herrera, Salvador García, Joaquín Derrac, 2012, Neurocomputing.

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

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2016, Neurocomputing.

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

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2018, Knowledge and Information Systems.

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

Francisco Herrera, Jaume Bacardit, José Manuel Benítez, 2015, Knowl. Based Syst..

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification

Francisco Herrera, Salvador García, Isaac Triguero, 2010, IEEE Transactions on Neural Networks.

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

Isaac Triguero, Mercedes Torres Torres, Robert John, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Exact fuzzy k-nearest neighbor classification for big datasets

Francisco Herrera, Salvador García, Julián Luengo, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications

J. Ser, Javier Poyatos, D. Molina, 2023, ArXiv.

Decomposition-Fusion for Label Distribution Learning

José Ramón Cano, Salvador García, Isaac Triguero, 2021, Inf. Fusion.

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

Weiping Ding, Isaac Triguero, Chin-Teng Lin, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

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

Francisco Herrera, Isaac Triguero, Jesus Maillo, 2020, IEEE Access.

Fast fingerprint identification for large databases

Daniel Peralta, José Manuel Benítez, Raul Sánchez-Reillo, 2014, Pattern Recognit..

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

Juan S. Angarita-Zapata, I. Triguero, A. Masegosa, 2023, ArXiv.

Explaining time series classifiers through meaningful perturbation and optimisation

I. Triguero, Christian Wagner, Han Meng, 2023, Inf. Sci..

Local-Global Methods for Generalised Solar Irradiance Forecasting

I. Triguero, D. Landa-silva, Timothy Cargan, 2023, 2303.06010.

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

R. John, G. Figueredo, I. Triguero, 2019, Cognitive Computation.

Fuzzy Hot Spot Identification for Big Data: An Initial Approach

Grazziela P. Figueredo, Mohammad Mesgarpour, Isaac Triguero, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Vehicle Incident Hot Spots Identification: An Approach for Big Data

Robert Ivor John, Jonathan M. Garibaldi, Grazziela Patrocinio Figueredo, 2017, 2017 IEEE Trustcom/BigDataSE/ICESS.

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

J. M. Benítez, S. García, Y. Saeys, 2017, Int. J. Intell. Syst..

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

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2016, Inf. Sci..

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

Francisco Herrera, Salvador García, Julián Luengo, 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

J. M. Benítez, F. Herrera, S. Ramírez-Gallego, 2015 .

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

Consolación Gil, Isaac Triguero, Daniel Gómez-Lorente, 2014 .

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

Isaac Triguero, Jesús Maillo, Francisco Herrera, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

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

Grazziela Patrocinio Figueredo, Dario Landa Silva, Isaac Triguero, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

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

S. García, F. Herrera, Alberto Fernández, 2017, Int. J. Comput. Intell. Syst..

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

Manuel Jiménez, I. Triguero, E. Alfaro, 2023, 2302.00366.

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

J. Ser, Javier Poyatos, D. Molina, 2024, Inf. Fusion.