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ORCIDAmparo Alonso-Betanzos
Publications
- 2020
[j72]Carlos Eiras-Franco
, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11(6): 71:1-71:18 (2020)- 2019
- [j66]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: 115-127 (2019) - [j62]Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde:
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8(1): 101-109 (2019) - 2018
- [j60]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): 1441-1453 (2018) - 2017
- [j58]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): 134-152 (2017) - [c81]Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos:
Algorithmic challenges in big data analytics. ESANN 2017 - [c80]Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego:
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. ESANN 2017 - 2016
- [j46]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: 8-14 (2016) - [j45]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): 5-21 (2016) - [i1]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 abs/1610.04154 (2016) - 2015
- [j42]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: 130-145 (2015) - 2014
- [c60]Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Modeling consumption of contents and advertising in online newspapers. ESANN 2014 - 2013
- [j33]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): 357-365 (2013) - [j30]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): 2997-3009 (2013) - [c56]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: 149-158 - 2012
- [j29]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): 315-328 (2012) - [j27]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): 4536-4546 (2012) - [c53]David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classifier based on extreme value statistics. ESANN 2012 - 2011
- [j25]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. 38(6): 6884-6894 (2011) - [j22]David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A robust incremental learning method for non-stationary environments. Neurocomputing 74(11): 1800-1808 (2011) - [c48]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN 2011: 511-518 - 2010
- [c44]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: 60-66 - 2009
- [c40]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: 824-833 - [c38]David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos:
A new supervised local modelling classifier based on information theory. IJCNN 2009: 2014-2020 - 2008
- [c34]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Method for Time Series Prediction using a Combination of Linear Models. ESANN 2008: 295-300
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