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Emilio Parrado-Hernández
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2020 – today
- 2024
- [j18]Carlos Sevilla-Salcedo
, Ascensión Gallardo-Antolín
Bayesian learning of feature spaces for multitask regression. Neural Networks 179: 106619 (2024) - [i5]Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo:
The Relevance Feature and Vector Machine for health applications. CoRR abs/2402.07079 (2024) - 2022
- [i4]Carlos Sevilla-Salcedo
Bayesian learning of feature spaces for multitasks problems. CoRR abs/2209.03028 (2022) - 2021
- [i3]María Pérez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernández, Benjamin Guedj, John Shawe-Taylor:
Progress in Self-Certified Neural Networks. CoRR abs/2111.07737 (2021)
2010 – 2019
- 2019
- [j17]Vanessa Gómez-Verdejo
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics 17(4): 593-609 (2019) - 2018
- [j16]Guillermo Robles
Partial Discharge Spectral Characterization in HF, VHF and UHF Bands Using Particle Swarm Optimization. Sensors 18(3): 746 (2018) - [c15]Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun:
PAC-Bayes bounds for stable algorithms with instance-dependent priors. NeurIPS 2018: 9234-9244 - [i2]Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor
PAC-Bayes bounds for stable algorithms with instance-dependent priors. CoRR abs/1806.06827 (2018) - 2017
- [j15]Sergio Muñoz-Romero
A novel framework for parsimonious multivariate analysis. Pattern Recognit. 71: 173-186 (2017) - [j14]Carlos Boya
Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation. Sensors 17(11): 2625 (2017) - 2016
- [j13]Guillermo Robles
Multiple partial discharge source discrimination with multiclass support vector machines. Expert Syst. Appl. 55: 417-428 (2016) - 2014
- [j12]Emilio Parrado-Hernández
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. 18(3): 435-448 (2014) - [c14]Oscar García Hinde, Emilio Parrado-Hernández
Automatic Design of Neuromarkers for OCD Characterization. ECML/PKDD (1) 2014: 450-465 - 2013
- [c13]Felipe Llinares-López, Matilde Sánchez Fernández
Interference-aware MIMO precoder design with realistic power constraints. ICC Workshops 2013: 164-168 - 2012
- [j11]Miguel Lázaro-Gredilla, Vanessa Gómez-Verdejo
Low-cost model selection for SVMs using local features. Eng. Appl. Artif. Intell. 25(6): 1203-1211 (2012) - [j10]Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun:
PAC-bayes bounds with data dependent priors. J. Mach. Learn. Res. 13: 3507-3531 (2012) - [c12]Alberto García-Durán, Jerónimo Arenas-García, Dario García-García, Emilio Parrado-Hernández:
Music Genre Classification based on Dynamical Models. ICPRAM (2) 2012: 250-256 - [c11]Dario García-García, Raúl Santos-Rodríguez
Classifier-based affinities for clustering sets of vectors. MLSP 2012: 1-6 - [c10]Emilio Parrado-Hernández
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI 2012: 49-52 - 2011
- [j9]Dario García-García, Emilio Parrado-Hernández
State-space dynamics distance for clustering sequential data. Pattern Recognit. 44(5): 1014-1022 (2011) - [c9]Emilio Parrado-Hernández
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI 2011: 60-67 - 2010
- [c8]John Shawe-Taylor
Data Dependent Priors in PAC-Bayes Bounds. COMPSTAT 2010: 231-240 - [i1]Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María:
State-Space Dynamics Distance for Clustering Sequential Data. CoRR abs/1004.1982 (2010)
2000 – 2009
- 2009
- [j8]Dario García-García, Emilio Parrado-Hernández
A New Distance Measure for Model-Based Sequence Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1325-1331 (2009) - [c7]Dario García-García, Emilio Parrado-Hernández
Sequence Segmentation via Clustering of Subsequences. ICMLA 2009: 229-234 - 2007
- [j7]Amiran Ambroladze, Emilio Parrado-Hernández
Complexity of pattern classes and the Lipschitz property. Theor. Comput. Sci. 382(3): 232-246 (2007) - 2006
- [j6]Ángel Navia-Vázquez, Emilio Parrado-Hernández
Support vector machine interpretation. Neurocomputing 69(13-15): 1754-1759 (2006) - [j5]Kristin P. Bennett, Emilio Parrado-Hernández:
The Interplay of Optimization and Machine Learning Research. J. Mach. Learn. Res. 7: 1265-1281 (2006) - [j4]Ángel Navia-Vázquez, D. Gutiérrez-González, Emilio Parrado-Hernández
Distributed support vector machines. IEEE Trans. Neural Networks 17(4): 1091-1097 (2006) - [c6]Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor:
Tighter PAC-Bayes Bounds. NIPS 2006: 9-16 - 2005
- [c5]D. Gutiérrez-González, Emilio Parrado-Hernández
Multi-kernel Growing Support Vector Regressor. IWANN 2005: 357-365 - 2003
- [j3]Emilio Parrado-Hernández
On problem-oriented kernel refining. Neurocomputing 55(1-2): 135-150 (2003) - [j2]Emilio Parrado-Hernández
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems. Neural Networks 16(7): 1039-1057 (2003) - [j1]Emilio Parrado-Hernández
Growing support vector classifiers with controlled complexity. Pattern Recognit. 36(7): 1479-1488 (2003) - 2002
- [c4]Carmen Peláez-Moreno, Ascensión Gallardo-Antolín, Emilio Parrado-Hernández, Fernando Díaz-de-María:
SVM-based lost packets concealment for ASR applications over IP. EUSIPCO 2002: 1-4 - [c3]Emilio Parrado-Hernández, Maria Angeles Vázquez-Castro, D. Belay-Zeleke:
CDMA satellite capacity dynamics with imperfect power control for simultaneous QoS classes. GLOBECOM 2002: 2897-2901 - [c2]Carmen Peláez-Moreno, Emilio Parrado-Hernández
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services. ICANN 2002: 1174-1179 - [c1]Maria Angeles Vázquez-Castro
CDMA satellite capacity dynamics and efficiency with imperfect power control for simultaneous QoS classes and diversity. VTC Spring 2002: 1985-1989
Coauthor Index
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last updated on 2024-09-21 23:40 CEST by the dblp team
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