Isaac Triguero

According to our database1, Isaac Triguero authored at least 58 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2019

A review on the self and dual interactions between machine learning and optimisation.
Progress in AI, 2019

Instance reduction for one-class classification.
Knowl. Inf. Syst., 2019

Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification.
Inf. Sci., 2019

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams.
Cognitive Computation, 2019

Guest Editorial: Computational Intelligence for Big Data Analytics.
Cognitive Computation, 2019

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.
IEEE Access, 2019

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.
IEEE Access, 2019

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst., 2018

On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018

A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting.
Proceedings of the Intelligent Distributed Computing XII, 2018

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots.
IEEE Trans. Emerging Topics in Comput. Intellig., 2017

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl.-Based Syst., 2017

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.
Knowl.-Based Syst., 2017

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst., 2017

Vehicle Incident Hot Spots Identification: An Approach for Big Data.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Exact fuzzy k-nearest neighbor classification for big datasets.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A first attempt on global evolutionary undersampling for imbalanced big data.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Labelling strategies for hierarchical multi-label classification techniques.
Pattern Recognition, 2016

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems.
Inf. Sci., 2016

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Information Fusion, 2016

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.
Neurocomputing, 2016

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybernetics, 2015

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl.-Based Syst., 2015

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl.-Based Syst., 2015

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl.-Based Syst., 2015

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst., 2015

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015

MRPR: A MapReduce solution for prototype reduction in big data classification.
Neurocomputing, 2015

A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Evolutionary undersampling for imbalanced big data classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Fast fingerprint identification for large databases.
Pattern Recognition, 2014

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing, 2014

Addressing imbalanced classification with instance generation techniques: IPADE-ID.
Neurocomputing, 2014

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. of AI, 2014

A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2012
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Netw. Learning Syst., 2012

Evolutionary-based selection of generalized instances for imbalanced classification.
Knowl.-Based Syst., 2012

Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing, 2012

Evolutionary algorithms for the design of grid-connected PV-systems.
Expert Syst. Appl., 2012

A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognition, 2011

A study of the scaling up capabilities of stratified prototype generation.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Enhancing IPADE Algorithm with a Different Individual Codification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification.
IEEE Trans. Neural Networks, 2010

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 2010

A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010


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