David Martínez-Rego

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 18

Top Topics

Learning Algorithm

Information Theoretic

Top Venues

Publications

Kenneth T. Co, David Martínez-Rego, Zhongyuan Hau, Emil C. Lupu
Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks. ICANN (3) (2022)
Kenneth T. Co, David Martínez-Rego, Zhongyuan Hau, Emil C. Lupu
Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks. CoRR (2022)
Kenneth T. Co, David Martínez-Rego, Emil C. Lupu
Jacobian Regularization for Mitigating Universal Adversarial Perturbations. CoRR (2021)
Kenneth T. Co, David Martínez-Rego, Emil C. Lupu
Jacobian Regularization for Mitigating Universal Adversarial Perturbations. ICANN (4) (2021)
Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martínez-Rego, Emil C. Lupu
Robustness and Transferability of Universal Attacks on Compressed Models. CoRR (2020)
Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
NN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Fan Fang, Carmine Ventre, Michail Basios, Hoiliong Kong, Leslie Kanthan, Lingbo Li, David Martínez-Rego, Fan Wu
Cryptocurrency Trading: A Comprehensive Survey. CoRR (2020)
Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8 (1) (2019)
Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Large scale anomaly detection in mixed numerical and categorical input spaces. Inf. Sci. 487 (2019)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. ESANN (2017)
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32 (2) (2017)
Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
Algorithmic challenges in big data analytics. ESANN (2017)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego
A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN (2016)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. 84 (2016)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6 (1) (2016)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR (2016)
Michele Donini, David Martínez-Rego, Martin Goodson, John Shawe-Taylor, Massimiliano Pontil
Distributed variance regularized Multitask Learning. IJCNN (2016)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. TrustCom/BigDataSE/ISPA (2) (2015)
David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Inf. Sci. 305 (2015)
Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Modeling consumption of contents and advertising in online newspapers. ESANN (2014)
Ludmila I. Kuncheva, David Martínez-Rego, Kenneth S. L. Yuen, David E. J. Linden, Stephen J. Johnston
A spatial discrepancy measure between voxel sets in brain imaging. Signal Image Video Process. 8 (5) (2014)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. CAEPIA (2013)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego
An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. 40 (18) (2013)
David Martínez-Rego, Massimiliano Pontil
Multi-task Averaging via Task Clustering. SIMBAD (2013)
David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Automatic bearing fault diagnosis based on one-class ν-SVM. Comput. Ind. Eng. 64 (1) (2013)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognit. 45 (12) (2012)
David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
One-class classifier based on extreme value statistics. ESANN (2012)
Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
Information Theoretic Learning and local modeling for binary and multiclass classification. Prog. Artif. Intell. 1 (4) (2012)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. 38 (6) (2011)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN (2011)
David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A robust incremental learning method for non-stationary environments. Neurocomputing 74 (11) (2011)
David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) (2010)
David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
A new supervised local modelling classifier based on information theory. IJCNN (2009)
Bertha Guijarro-Berdiñas, David Martínez-Rego, Santiago Fernández-Lorenzo
Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks. IWANN (2) (2009)
Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) (2009)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Method for Time Series Prediction using a Combination of Linear Models. ESANN (2008)