Fernando Lozano

Orcid: 0000-0002-1029-3906

According to our database1, Fernando Lozano authored at least 17 papers between 1997 and 2019.

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

2019
Demonstration of Multiagent Reinforcement Learning Applied to Traffic Light Signal Control.
Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

Multiagent Reinforcement Learning Applied to Traffic Light Signal Control.
Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

2015
Optimal Nudging: Solving Average-Reward Semi-Markov Decision Processes as a Minimal Sequence of Cumulative Tasks.
CoRR, 2015

Online Pairwise Ranking Based on Graph Edge-Connectivity.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2015

2013
Locally Linear Minimum Spanning Trees for Manifold Learning.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Learning to Rank Drug Combinations.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2011
Foraging theory for dimensionality reduction of clustered data.
Mach. Learn., 2011

Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines.
Int. J. Comput. Assist. Radiol. Surg., 2011

Discount and speed/execution tradeoffs in Markov Decision Process games.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

2010
Multiple Kernel Learning for Ontology Instance Matching.
Proceedings of the KEOD 2010, 2010

2007
Boosting Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2005
Boosting of support vector machines with application to editing.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Algorithms for parallel boosting.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Self bounding genetic algorithms for machine learning.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2001
Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights.
Proceedings of the Computational Learning Theory, 2001

2000
Some New Bounds on the Generalization Error of Combined Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1997
Function Approximation with the Sweeping Hinge Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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