Aritz Pérez Martínez
Orcid: 0000-0002-8128-1099
According to our database1,
Aritz Pérez Martínez
authored at least 67 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on sc.ehu.es
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Bibliography
2024
A probabilistic generative model to discover the treatments of coexisting diseases with missing data.
Comput. Methods Programs Biomed., January, 2024
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences.
Stat. Comput., 2024
2023
J. Comput. Graph. Stat., April, 2023
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels.
Knowl. Inf. Syst., January, 2023
Learning the progression patterns of treatments using a probabilistic generative model.
J. Biomed. Informatics, January, 2023
Pattern Recognit. Lett., 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Inf. Theory, 2022
Pattern Recognit. Lett., 2022
An active adaptation strategy for streaming time series classification based on elastic similarity measures.
Neural Comput. Appl., 2022
Knowl. Inf. Syst., 2022
On the relative value of weak information of supervision for learning generative models: An empirical study.
Int. J. Approx. Reason., 2022
IEEE Intell. Syst., 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Knowl. Inf. Syst., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem.
Swarm Evol. Comput., 2020
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.
Neural Networks, 2020
Data Min. Knowl. Discov., 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Pattern Recognit. Lett., 2019
On the evaluation and selection of classifier learning algorithms with crowdsourced data.
Appl. Soft Comput., 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
2018
Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments.
Future Gener. Comput. 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
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Knowl. Based Syst., 2017
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
2016
Efficient approximation of probability distributions with k-order decomposable models.
Int. J. Approx. Reason., 2016
2015
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species.
Ecol. Informatics, 2015
2014
Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
A general framework for the statistical analysis of the sources of variance for classification error estimators.
Pattern Recognit., 2013
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting.
Environ. Model. Softw., 2013
Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions.
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis.
IEEE Trans. Syst. Man Cybern. Part C, 2012
2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
2009
Int. J. Approx. Reason., 2009
2008
How Trustworthy is Crafty's Analysis of Chess Champions?
J. Int. Comput. Games Assoc., 2008
2006
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.
Int. J. Approx. Reason., 2006
Proceedings of the Discovery Science, 9th International Conference, 2006