A Method for Time Series Prediction using a Combination of Linear Models. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2008)

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. - Iago Porto-Díaz; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (ICANN (1), 2009)

A new supervised local modelling classifier based on information theory. - David Martínez-Rego; Oscar Fontenla-Romero; Iago Porto-Díaz; Amparo Alonso-Betanzos (IJCNN, 2009)

Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks. - Bertha Guijarro-Berdiñas; David Martínez-Rego; Santiago Fernández-Lorenzo (IWANN (2), 2009)

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. - David Martínez-Rego; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (ICANN (1), 2010)

Power wind mill fault detection via one-class ν-SVM vibration signal analysis. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IJCNN, 2011)

Efficiency of local models ensembles for time series prediction. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Expert Syst. Appl., 2011)

A robust incremental learning method for non-stationary environments. - David Martínez-Rego; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Neurocomputing, 2011)

One-class classifier based on extreme value statistics. - David Martínez-Rego; Evan Kriminger; José C. Príncipe; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2012)

Information Theoretic Learning and local modeling for binary and multiclass classification. - Iago Porto-Díaz; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (Prog. Artif. Intell., 2012)

Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Pattern Recognit., 2012)

Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (CAEPIA, 2013)

Multi-task Averaging via Task Clustering. - David Martínez-Rego; Massimiliano Pontil (SIMBAD, 2013)

Automatic bearing fault diagnosis based on one-class ν-SVM. - Diego Fernández-Francos; David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Comput. Ind. Eng., 2013)

An online learning algorithm for adaptable topologies of neural networks. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; David Martínez-Rego (Expert Syst. Appl., 2013)

A Minimum Volume Covering Approach with a Set of Ellipsoids. - David Martínez-Rego; Enrique F. Castillo; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Modeling consumption of contents and advertising in online newspapers. - Iago Porto-Díaz; David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2014)

A spatial discrepancy measure between voxel sets in brain imaging. - Ludmila I. Kuncheva; David Martínez-Rego; Kenneth S. L. Yuen; David E. J. Linden; Stephen J. Johnston (Signal Image Video Process., 2014)

Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego (TrustCom/BigDataSE/ISPA (2), 2015)

Stream change detection via passive-aggressive classification and Bernoulli CUSUM. - David Martínez-Rego; Diego Fernández-Francos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Inf. Sci., 2015)

A fast learning algorithm for high dimensional problems: an application to microarrays. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Diego Rego-Fernández; David Martínez-Rego (ESANN, 2016)

Distributed variance regularized Multitask Learning. - Michele Donini; David Martínez-Rego; Martin Goodson; John Shawe-Taylor; Massimiliano Pontil (IJCNN, 2016)

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (CoRR, 2016)

Fault detection via recurrence time statistics and one-class classification. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; José C. Príncipe (Pattern Recognit. Lett., 2016)

Data discretization: taxonomy and big data challenge. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2016)

Algorithmic challenges in big data analytics. - Verónica Bolón-Canedo; Beatriz Remeseiro; Konstantinos Sechidis; David Martínez-Rego; Amparo Alonso-Betanzos (ESANN, 2017)

Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. - Carlos Eiras-Franco; Leslie Kanthan; Amparo Alonso-Betanzos; David Martínez-Rego (ESANN, 2017)

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. - Sergio Ramírez-Gallego; Iago Lastra; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Francisco Herrera; Amparo Alonso-Betanzos (Int. J. Intell. Syst., 2017)

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Large scale anomaly detection in mixed numerical and categorical input spaces. - Carlos Eiras-Franco; David Martínez-Rego; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Antonio Bahamonde (Inf. Sci., 2019)

Optimizing novelty and diversity in recommendations. - Jorge Díez 001; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Luaces; Antonio Bahamonde (Prog. Artif. Intell., 2019)

Cryptocurrency Trading: A Comprehensive Survey. - Fan Fang; Carmine Ventre; Michail Basios; Hoiliong Kong; Leslie Kanthan; Lingbo Li 001; David Martínez-Rego; Fan Wu 009 (CoRR, 2020)

Robustness and Transferability of Universal Attacks on Compressed Models. - Alberto G. Matachana; Kenneth T. Co; Luis Muñoz-González; David Martínez-Rego; Emil C. Lupu (CoRR, 2020)

Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. - Carlos Eiras-Franco; David Martínez-Rego; Leslie Kanthan; César Piñeiro; Antonio Bahamonde; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (ACM Trans. Intell. Syst. Technol., 2020)

Jacobian Regularization for Mitigating Universal Adversarial Perturbations. - Kenneth T. Co; David Martínez-Rego; Emil C. Lupu (ICANN (4), 2021)

Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks. - Kenneth T. Co; David Martínez-Rego; Zhongyuan Hau; Emil C. Lupu (ICANN (3), 2022)

BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. - Carlos Aumente-Maestro; David Rodriguez Gonzalez; David Martínez-Rego; Beatriz Remeseiro (Biomed. Signal Process. Control., 2025)

Cost-sensitive reinforcement learning for credit risk. - Jorge C.-Rella; David Martínez-Rego; Juan Manuel Vilar (Expert Syst. Appl., 2025)