Álvaro Barbero Jiménez

According to our database1, Álvaro Barbero Jiménez authored at least 28 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks.
J. Am. Medical Informatics Assoc., 2024

2023
A Survey of Spanish Clinical Language Models.
CoRR, 2023

RLBoost: Boosting Supervised Models using Deep Reinforcement Learning.
CoRR, 2023

Mixture of Diffusers for scene composition and high resolution image generation.
CoRR, 2023

2022
RigoBERTa: A State-of-the-Art Language Model For Spanish.
CoRR, 2022

2021
Classifying Spanish se constructions: from bag of words to language models.
Proces. del Leng. Natural, 2021

2018
Modular Proximal Optimization for Multidimensional Total-Variation Regularization.
J. Mach. Learn. Res., 2018

Improving cash logistics in bank branches by coupling machine learning and robust optimization.
Expert Syst. Appl., 2018

2015
Geometric intuition and algorithms for Ev-SVM.
J. Mach. Learn. Res., 2015

Convex Optimization for Parallel Energy Minimization.
CoRR, 2015

2013
Group Fused Lasso.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Sparse methods for wind energy prediction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Clipping algorithms for solving the nearest point problem over reduced convex hulls.
Pattern Recognit., 2011

Cycle-breaking acceleration for support vector regression.
Neurocomputing, 2011

Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Fast Newton-type Methods for Total Variation Regularization.
Proceedings of the 28th International Conference on Machine Learning, 2011

Momentum Acceleration of Least-Squares Support Vector Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
An MDM solver for the nearest point problem in Scaled Convex Hulls.
Proceedings of the International Joint Conference on Neural Networks, 2010

Faster Directions for Second Order SMO.
Proceedings of the Artificial Neural Networks, 2010

2009
Finding optimal model parameters by deterministic and annealed focused grid search.
Neurocomputing, 2009

Cycle-breaking acceleration of SVM training.
Neurocomputing, 2009

A Simple Maximum Gain Algorithm for Support Vector Regression.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008
Finding Optimal Model Parameters by Discrete Grid Search.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

On the Equivalence of the SMO and MDM Algorithms for SVM Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A 4-Vector MDM Algorithm for Support Vector Training.
Proceedings of the Artificial Neural Networks, 2008

Simple Clipping Algorithms for Reduced Convex Hull SVM Training.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

An accelerated MDM algorithm for SVM training.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Square Penalty Support Vector Regression.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007


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