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Álvaro Barbero Jiménez
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2020 – today
- 2024
- [j9]Guillem García Subies
, Álvaro Barbero Jiménez, Paloma Martínez Fernández:
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks. J. Am. Medical Informatics Assoc. 31(9): 2137-2146 (2024) - 2023
- [i5]Álvaro Barbero Jiménez:
Mixture of Diffusers for scene composition and high resolution image generation. CoRR abs/2302.02412 (2023) - [i4]Eloy Anguiano Batanero, Ángela Fernández Pascual, Álvaro Barbero Jiménez:
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning. CoRR abs/2305.14115 (2023) - [i3]Guillem García Subies, Álvaro Barbero Jiménez, Paloma Martínez Fernández:
A Survey of Spanish Clinical Language Models. CoRR abs/2308.02199 (2023) - 2022
- [i2]Alejandro Vaca Serrano, Guillem García Subies, Helena Montoro Zamorano, Nuria Aldama Garcia, Doaa Samy
RigoBERTa: A State-of-the-Art Language Model For Spanish. CoRR abs/2205.10233 (2022) - 2021
- [j8]Nuria Aldama-García, Álvaro Barbero Jiménez:
Classifying Spanish se constructions: from bag of words to language models. Proces. del Leng. Natural 66: 153-164 (2021)
2010 – 2019
- 2018
- [j7]Jorge López Lázaro, Álvaro Barbero Jiménez, Akiko Takeda:
Improving cash logistics in bank branches by coupling machine learning and robust optimization. Expert Syst. Appl. 92: 236-255 (2018) - [j6]Álvaro Barbero Jiménez, Suvrit Sra:
Modular Proximal Optimization for Multidimensional Total-Variation Regularization. J. Mach. Learn. Res. 19: 56:1-56:82 (2018) - 2015
- [j5]Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro:
Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. 16: 323-369 (2015) - [i1]K. S. Sesh Kumar, Álvaro Barbero Jiménez, Stefanie Jegelka, Suvrit Sra, Francis R. Bach:
Convex Optimization for Parallel Energy Minimization. CoRR abs/1503.01563 (2015) - 2013
- [c13]Carlos M. Alaíz
Group Fused Lasso. ICANN 2013: 66-73 - 2012
- [c12]Carlos M. Alaíz
Sparse methods for wind energy prediction. IJCNN 2012: 1-7 - 2011
- [j4]Álvaro Barbero Jiménez, José R. Dorronsoro:
Cycle-breaking acceleration for support vector regression. Neurocomputing 74(16): 2649-2656 (2011) - [j3]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. 44(3): 607-614 (2011) - [c11]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) 2011: 135-142 - [c10]Álvaro Barbero Jiménez, Suvrit Sra:
Fast Newton-type Methods for Total Variation Regularization. ICML 2011: 313-320 - [c9]Álvaro Barbero Jiménez, José R. Dorronsoro:
Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. IJCNN 2011: 370-377 - 2010
- [c8]Álvaro Barbero Jiménez, José R. Dorronsoro:
Faster Directions for Second Order SMO. ICANN (2) 2010: 30-39 - [c7]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Cycle-breaking acceleration of SVM training. Neurocomputing 72(7-9): 1398-1406 (2009) - [j1]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 72(13-15): 2824-2832 (2009) - [c6]Álvaro Barbero Jiménez, José R. Dorronsoro:
A Simple Maximum Gain Algorithm for Support Vector Regression. IWANN (1) 2009: 73-80 - 2008
- [c5]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
An accelerated MDM algorithm for SVM training. ESANN 2008: 421-426 - [c4]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS 2008: 369-377 - [c3]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) 2008: 315-324 - [c2]Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
On the Equivalence of the SMO and MDM Algorithms for SVM Training. ECML/PKDD (1) 2008: 288-300 - [p1]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Finding Optimal Model Parameters by Discrete Grid Search. Innovations in Hybrid Intelligent Systems 2008: 120-127 - 2007
- [c1]Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
Square Penalty Support Vector Regression. IDEAL 2007: 537-546
Coauthor Index
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last updated on 2024-09-21 23:39 CEST by the dblp team
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