David Martínez-Rego

40 papers B 9Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning. Biomed. Signal Process. Control. Carlos Aumente-Maestro, David Rodriguez Gonzalez, David Martínez-Rego, Beatriz Remeseiro
2025	J	`jnl`	Cost-sensitive reinforcement learning for credit risk. Expert Syst. Appl. Jorge C.-Rella, David Martínez-Rego, Juan Manuel Vilar
2022	—	`conf`	Jacobian Ensembles Improve Robustness Trade-Offs to Adversarial Attacks. ICANN (3) Kenneth T. Co, David Martínez-Rego, Zhongyuan Hau, Emil C. Lupu
2022	J	`jnl`	Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks. CoRR Kenneth T. Co, David Martínez-Rego, Zhongyuan Hau, Emil C. Lupu
2021	—	`conf`	Jacobian Regularization for Mitigating Universal Adversarial Perturbations. ICANN (4) Kenneth T. Co, David Martínez-Rego, Emil C. Lupu
2021	J	`jnl`	Jacobian Regularization for Mitigating Universal Adversarial Perturbations. CoRR Kenneth T. Co, David Martínez-Rego, Emil C. Lupu
2020	J	`jnl`	Cryptocurrency Trading: A Comprehensive Survey. CoRR Fan Fang, Carmine Ventre, Michail Basios, Hoiliong Kong, Leslie Kanthan, Lingbo Li, David Martínez-Rego, Fan Wu
2020	J	`jnl`	Fast Distributed ACM Trans. Intell. Syst. Technol. Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2020	J	`jnl`	Robustness and Transferability of Universal Attacks on Compressed Models. CoRR Alberto G. Matachana, Kenneth T. Co, Luis Muñoz-González, David Martínez-Rego, Emil C. Lupu
2019	J	`jnl`	Large scale anomaly detection in mixed numerical and categorical input spaces. Inf. Sci. Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2019	J	`jnl`	Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
2018	J	`jnl`	An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2017	B	`conf`	Algorithmic challenges in big data analytics. ESANN Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
2017	J	`jnl`	Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
2017	B	`conf`	Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. ESANN Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego
2016	B	`conf`	A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego
2016	J	`jnl`	An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2016	J	`jnl`	Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2016	B	`conf`	Distributed variance regularized Multitask Learning. IJCNN Michele Donini, David Martínez-Rego, Martin Goodson, John Shawe-Taylor, Massimiliano Pontil
2016	J	`jnl`	Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
2015	—	`conf`	Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. TrustCom/BigDataSE/ISPA (2) Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego
2015	J	`jnl`	Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Inf. Sci. David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014	J	`jnl`	A spatial discrepancy measure between voxel sets in brain imaging. Signal Image Video Process. Ludmila I. Kuncheva, David Martínez-Rego, Kenneth S. L. Yuen, David E. J. Linden, Stephen J. Johnston
2014	B	`conf`	Modeling consumption of contents and advertising in online newspapers. ESANN Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Trans. Pattern Anal. Mach. Intell. David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego
2013	J	`jnl`	Automatic bearing fault diagnosis based on one-class ν-SVM. Comput. Ind. Eng. Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	—	`conf`	Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. CAEPIA David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	—	`conf`	Multi-task Averaging via Task Clustering. SIMBAD David Martínez-Rego, Massimiliano Pontil
2012	J	`jnl`	Information Theoretic Learning and local modeling for binary and multiclass classification. Prog. Artif. Intell. Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2012	J	`jnl`	Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognit. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	B	`conf`	One-class classifier based on extreme value statistics. ESANN David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	J	`jnl`	A robust incremental learning method for non-stationary environments. Neurocomputing David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	J	`jnl`	Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	B	`conf`	Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010	—	`conf`	Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2009	B	`conf`	A new supervised local modelling classifier based on information theory. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
2009	—	`conf`	Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009	—	`conf`	Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks. IWANN (2) Bertha Guijarro-Berdiñas, David Martínez-Rego, Santiago Fernández-Lorenzo
2008	B	`conf`	A Method for Time Series Prediction using a Combination of Linear Models. ESANN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos