Alberto Torres

Orcid: 0000-0003-2716-0314

According to our database1, Alberto Torres authored at least 26 papers between 1992 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Augmented probability simulation methods for sequential games.
Eur. J. Oper. Res., 2023

2022
How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns.
CoRR, 2022

2021
Faster SVM training via conjugate SMO.
Pattern Recognit., 2021

Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data.
CoRR, 2021

2020
Machine Learning Nowcasting of PV Energy Using Satellite Data.
Neural Process. Lett., 2020

2019
Regression tree ensembles for wind energy and solar radiation prediction.
Neurocomputing, 2019

Assessing Supply Chain Cyber Risks.
CoRR, 2019

Augmented Probability Simulation Methods for Non-cooperative Games.
CoRR, 2019

2018
ν-SVM solutions of constrained Lasso and Elastic net.
Neurocomputing, 2018

2017
Deep Neural Networks for Wind and Solar Energy Prediction.
Neural Process. Lett., 2017

Deep Fisher Discriminant Analysis.
Proceedings of the Advances in Computational Intelligence, 2017

Satellite Based Nowcasting of PV Energy over Peninsular Spain.
Proceedings of the Advances in Computational Intelligence, 2017

DM-UAV: Dexterous Manipulation Unmanned Aerial Vehicle.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2016
Machine Learning Prediction of Photovoltaic Energy from Satellite Sources.
Proceedings of the Data Analytics for Renewable Energy Integration, 2016

Conjugate descent for the SMO algorithm.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Nesterov Acceleration for the SMO Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Deep Neural Networks for Wind Energy Prediction.
Proceedings of the Advances in Computational Intelligence, 2015

Random Forests and Gradient Boosting for Wind Energy Prediction.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Solving constrained Lasso and Elastic Net using nu-SVMs.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Sparse one hidden layer MLPs.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2012
Sparse Linear Wind Farm Energy Forecast.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

1996
Graph Theoretical Structures in Logic Programs and Default Theories.
Theor. Comput. Sci., 1996

1995
A nondeterministic well-founded semantics.
Ann. Math. Artif. Intell., 1995

1994
Hypothetical semantics of logic programs.
PhD thesis, 1994

1993
Negation as Failure to Support.
Proceedings of the Logic Programming and Non-monotonic Reasoning, 1993

1992
Is There a "Right" Semantics for Negation as Failure?
Proceedings of the Third International Workshop on the Deductive Approach to Information Systems and Databases, 1992


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