Aritz Pérez Martínez

According to our database1, Aritz Pérez Martínez authored at least 23 papers between 2006 and 2019.

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



In proceedings 
PhD thesis 





On-line Elastic Similarity Measures for time series.
Pattern Recognition, 2019

Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments.
Future Generation Comp. Syst., 2018

Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures.
Proceedings of the Intelligent Distributed Computing XII, 2018

Are the Artificially Generated Instances Uniform in Terms of Difficulty?
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Crowd Learning with Candidate Labeling: An EM-Based Solution.
Proceedings of the Advances in Artificial Intelligence, 2018

An efficient approximation to the K-means clustering for massive data.
Knowl.-Based Syst., 2017

On-Line Dynamic Time Warping for Streaming Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Nature-inspired approaches for distance metric learning in multivariate time series classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Efficient approximation of probability distributions with k-order decomposable models.
Int. J. Approx. Reasoning, 2016

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species.
Ecological Informatics, 2015

Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

A general framework for the statistical analysis of the sources of variance for classification error estimators.
Pattern Recognition, 2013

Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting.
Environmental Modelling and Software, 2013

Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions.
Proceedings of the Advances in Artificial Intelligence, 2013

Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Bayesian classifiers based on kernel density estimation: Flexible classifiers.
Int. J. Approx. Reasoning, 2009

How Trustworthy is Crafty's Analysis of Chess Champions?
ICGA Journal, 2008

Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.
Int. J. Approx. Reasoning, 2006

Machine learning in bioinformatics.
Briefings in Bioinformatics, 2006

Information Theory and Classification Error in Probabilistic Classifiers.
Proceedings of the Discovery Science, 9th International Conference, 2006