Luis de la Ossa

Orcid: 0000-0003-1262-7479

Affiliations:
  • University of Castilla-La Mancha, Spain


According to our database1, Luis de la Ossa authored at least 35 papers between 2003 and 2022.

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

Timeline

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Bibliography

2022
Convolutional Neural Networks for Agricultural Land Use Classification from Sentinel-2 Image Time Series.
Remote. Sens., 2022

Decoding Lower-Limbs Kinematics from EEG Signals While Walking with an Exoskeleton.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2019
CiDAEN: An Online Data Science Course.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

2018
Building efficient fuzzy regression trees for large scale and high dimensional problems.
J. Big Data, 2018

Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach.
Inf. Sci., 2018

On the use of local search heuristics to improve GES-based Bayesian network learning.
Appl. Soft Comput., 2018

2017
Generation of first-order TSK rules based on the apriori + search approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2015
Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier.
Expert Syst. Appl., 2015

An AIFSN Prediction Scheme for Multimedia Wireless Communications.
Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Learning TSK-0 linguistic fuzzy rules by means of local search algorithms.
Appl. Soft Comput., 2014

TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

2013
Scaling up the Greedy Equivalence Search algorithm by constraining the search space of equivalence classes.
Int. J. Approx. Reason., 2013

2012
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking.
Knowl. Based Syst., 2012

Evaluation of a Thermal-Comfort Control System Using Real Data.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
Structural learning of Bayesian networks using local algorithms based on the space of orderings.
Soft Comput., 2011

Learning heterogeneus cooperative linguistic fuzzy rules using local search: Enhancing the COR search space.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A study on different backward feature selection criteria over high-dimensional databases.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step.
Proceedings of the Computer and Information Sciences II, 2011

Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2011

Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Learning cooperative linguistic fuzzy rules using fast local search algorithms.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms.
Int. J. Approx. Reason., 2009

Structural Learning of Bayesian Networks by Using Variable Neighbourhood Search Based on the Space of Orderings.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Avoiding premature convergence in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Towards the Evolutionary Process Algebra.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Improvement of a car racing controller by means of Ant Colony Optimization algorithms.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007
Initial breeding value prediction on Manchego sheep by using rule-based systems.
Expert Syst. Appl., 2007

2006
Initial approaches to the application of islands-based parallel EDAs in continuous domains.
J. Parallel Distributed Comput., 2006

Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

Learning weighted linguistic fuzzy rules with estimation of distribution algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Improving model combination through local search in parallel univariate EDAs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs.
Proceedings of the Parallel Problem Solving from Nature, 2004

2003
Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach.
Proceedings of the Current Topics in Artificial Intelligence, 2003


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