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Fernando Lozano
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2010 – 2019
- 2019
- [c14]Carolina Higuera
, Fernando Lozano
, Edgar Camilo Camacho
, Carlos Hernando Higuera
:
Multiagent Reinforcement Learning Applied to Traffic Light Signal Control. PAAMS 2019: 115-126 - [c13]Carolina Higuera
, Fernando Lozano
, Edgar Camilo Camacho
, Carlos Hernando Higuera
:
Demonstration of Multiagent Reinforcement Learning Applied to Traffic Light Signal Control. PAAMS 2019: 255-258 - 2015
- [c12]Carlos A. Quintero
, Reinaldo Uribe, Juan M. Calderón
, Fernando Lozano:
Online Pairwise Ranking Based on Graph Edge-Connectivity. IBICA 2015: 499-509 - [i1]Reinaldo Uribe Muriel, Fernando Lozano, Charles Anderson:
Optimal Nudging: Solving Average-Reward Semi-Markov Decision Processes as a Minimal Sequence of Cumulative Tasks. CoRR abs/1504.05122 (2015) - 2013
- [c11]Carlos A. Quintero
, Fernando Lozano:
Locally Linear Minimum Spanning Trees for Manifold Learning. ICMLA (1) 2013: 21-26 - [c10]Fernando Lozano:
Learning to Rank Drug Combinations. ICMLA (2) 2013: 436-440 - 2011
- [j2]Maria A. Zuluaga
, Isabelle E. Magnin, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, Fernando Lozano, Maciej Orkisz
:
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines. Int. J. Comput. Assist. Radiol. Surg. 6(2): 163-174 (2011) - [j1]Luis Felipe Giraldo
, Fernando Lozano, Nicanor Quijano
:
Foraging theory for dimensionality reduction of clustered data. Mach. Learn. 82(1): 71-90 (2011) - [c9]Reinaldo Uribe, Fernando Lozano, Katsunari Shibata
, Charles Anderson
:
Discount and speed/execution tradeoffs in Markov Decision Process games. CIG 2011: 79-86 - 2010
- [c8]Diego Ardila, José Abásolo, Fernando Lozano:
Multiple Kernel Learning for Ontology Instance Matching. KEOD 2010: 311-318
2000 – 2009
- 2007
- [c7]Elkin García, Fernando Lozano:
Boosting Support Vector Machines. MLDM Posters 2007: 153-167 - 2005
- [c6]Fernando Lozano, Vladimir Koltchinskii:
Self bounding genetic algorithms for machine learning. ICMLA 2005 - [c5]Fernando Lozano, Pedro Rangel:
Algorithms for parallel boosting. ICMLA 2005 - [c4]Pedro Rangel, Fernando Lozano, Elkin García:
Boosting of support vector machines with application to editing. ICMLA 2005 - 2001
- [c3]Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano:
Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights. COLT/EuroCOLT 2001: 241-255 - 2000
- [c2]Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano:
Some New Bounds on the Generalization Error of Combined Classifiers. NIPS 2000: 245-251
1990 – 1999
- 1997
- [c1]Don R. Hush, Fernando Lozano, Bill G. Horne:
Function Approximation with the Sweeping Hinge Algorithm. NIPS 1997: 535-541
Coauthor Index
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