Isaac Triguero

发表

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

Francisco Herrera, Salvador García, Bartosz Krawczyk, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

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).

A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting

Antonio D. Masegosa, Isaac Triguero, Juan S. Angarita-Zapata, 2018, IDC.

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

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

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

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

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

Alberto Fernández, Mohammad Masoud Javidi, Isaac Triguero, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

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

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

Grazziela P. Figueredo, Mohammad Mesgarpour, Isaac 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).

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution

José Manuel Benítez, Isaac Triguero, Christoph Bergmeir, 2012, HAIS.

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.

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).

Partitioning the target space in multi-output learning

Celine Vens, Ricardo Cerri, Márcio P. Basgalupp, 2016 .

Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

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

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..

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

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

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food

Grazziela Patrocinio Figueredo, Dario Landa Silva, Isaac Triguero, 2019, ICORES.

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..

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

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

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).

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

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

Addressing imbalanced classification with instance generation techniques: IPADE-ID

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

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

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

Current trends of granular data mining for biomedical data analysis

Chin-Teng Lin, Wenjian Luo, Weiping Ding, 2020, Inf. Sci..

A Local Search with a Surrogate Assisted Option for Instance Reduction

Ferrante Neri, Isaac Triguero, 2020, EvoApplications.

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

Francisco Herrera, Salvador García, Jaume Bacardit, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

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

Ender Özcan, Isaac Triguero, Mercedes Torres Torres, 2019, ArXiv.

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

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

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.

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

Francisco Herrera, Salvador García, Daniel Peralta, 2016, Inf. Fusion.

Instance reduction for one-class classification

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

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..

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

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

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 Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective

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

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

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

Message from the IEEE BigDataSE 2017 Program Chairs

Lina Yao, Qiang He, Isaac Triguero, 2017, TrustCom 2017.

Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems

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

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

Mahardhika Pratama, Hongjun Li, Gary G. Yen, 2019, IEEE Access.

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).

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

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

A survey of fingerprint classification Part II

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

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

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

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.

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.

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).

Evolutionary undersampling for imbalanced big data classification

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

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

Mikel Galar, Francisco Herrera, Daniel Peralta, 2014, Eng. Appl. Artif. Intell..

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..

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).

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..

Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems

Junlong Zhou, Tongquan Wei, Rajiv Ranjan, 2019, ACM Trans. Cyber Phys. Syst..

Labelling strategies for hierarchical multi-label classification techniques

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

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

Francisco Herrera, Isaac Triguero, Jesus Maillo, 2015, TrustCom 2015.

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

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

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

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

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.

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

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

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).

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

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

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).

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..

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..

Guest Editorial: Computational Intelligence for Big Data Analytics

Francisco Herrera, Mikel Galar, Alberto Fernández, 2019, Cognitive Computation.

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.

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification

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

Integrating a differential evolution feature weighting scheme into prototype generation

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

A study of the scaling up capabilities of stratified prototype generation

Francisco Herrera, Salvador García, Joaquín Derrac, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Multigranulation Supertrust Model for Attribute Reduction

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

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).

REPRESENTATIONAL POWER OF GENE FEATURES FOR FUNCTION PREDICTION

Konstantinos Pliakos, Celine Vens, Dragi Kocev, 2015 .

Enhancing IPADE Algorithm with a Different Individual Codification

Francisco Herrera, Salvador García, Isaac Triguero, 2011, HAIS.

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.

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

Francisco Herrera, Salvador García, Isaac Triguero, 2015, IEEE Transactions on Cybernetics.

Fast fingerprint identification for large databases

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

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).

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).

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

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

Evolutionary-based selection of generalized instances for imbalanced classification

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

Decomposition-Fusion for Label Distribution Learning

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

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..

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

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

Few-Shot Learning for Postnatal Gestational Age Estimation

Michel F. Valstar, Isaac Triguero, Mercedes Torres Torres, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

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

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.

Beyond global and local multi-target learning

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