David Martínez-Rego

Emil C. Lupu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2020

Robustness and Transferability of Universal Attacks on Compressed Models.

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[DOI]

CoRR, 2020

Cryptocurrency Trading: A Comprehensive Survey.

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[DOI]

CoRR, 2020

2019

Optimizing novelty and diversity in recommendations.

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[DOI]

Jorge Díez

Oscar Luaces

Antonio Bahamonde

Prog. Artif. Intell., 2019

Large scale anomaly detection in mixed numerical and categorical input spaces.

[BibT_eX]

[DOI]

Carlos Eiras-Franco

Antonio Bahamonde

Inf. Sci., 2019

2018

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.

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[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

2017

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.

[BibT_eX]

[DOI]

Iago Lastra

Int. J. Intell. Syst., 2017

Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.

[BibT_eX]

[DOI]

Carlos Eiras-Franco

Leslie Kanthan

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Algorithmic challenges in big data analytics.

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[DOI]

Beatriz Remeseiro

Konstantinos Sechidis

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Data discretization: taxonomy and big data challenge.

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[DOI]

Salvador García

WIREs Data Mining Knowl. Discov., 2016

Fault detection via recurrence time statistics and one-class classification.

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[DOI]

José C. Príncipe

Pattern Recognit. Lett., 2016

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.

[BibT_eX]

[DOI]

CoRR, 2016

Distributed variance regularized Multitask Learning.

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[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A fast learning algorithm for high dimensional problems: an application to microarrays.

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[DOI]

Diego Rego-Fernández

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Stream change detection via passive-aggressive classification and Bernoulli CUSUM.

[BibT_eX]

[DOI]

Diego Fernández-Francos

Inf. Sci., 2015

Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark.

[BibT_eX]

[DOI]

Salvador García

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

2014

A spatial discrepancy measure between voxel sets in brain imaging.

[BibT_eX]

[DOI]

Signal Image Video Process., 2014

Modeling consumption of contents and advertising in online newspapers.

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[DOI]

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

A Minimum Volume Covering Approach with a Set of Ellipsoids.

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[DOI]

Enrique F. Castillo

IEEE Trans. Pattern Anal. Mach. Intell., 2013

An online learning algorithm for adaptable topologies of neural networks.

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[DOI]

Expert Syst. Appl., 2013

Automatic bearing fault diagnosis based on one-class ν-SVM.

[BibT_eX]

[DOI]

Diego Fernández-Francos

Comput. Ind. Eng., 2013

Multi-task Averaging via Task Clustering.

[BibT_eX]

[DOI]

Massimiliano Pontil

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios.

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[DOI]

Pattern Recognit., 2012

Information Theoretic Learning and local modeling for binary and multiclass classification.

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[DOI]

Prog. Artif. Intell., 2012

One-class classifier based on extreme value statistics.

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[DOI]

Evan Kriminger

José C. Príncipe

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

A robust incremental learning method for non-stationary environments.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Efficiency of local models ensembles for time series prediction.

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[DOI]

Expert Syst. Appl., 2011

Power wind mill fault detection via one-class ν-SVM vibration signal analysis.

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[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.

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[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks.

[BibT_eX]

[DOI]

Santiago Fernández-Lorenzo

Proceedings of the Distributed Computing, 2009

A new supervised local modelling classifier based on information theory.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset.

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[DOI]

Proceedings of the Artificial Neural Networks, 2009

2008

A Method for Time Series Prediction using a Combination of Linear Models.

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[DOI]