Aritz Pérez

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 61

Top Topics

Similarity Measure

Hamming Distance

Generative Model

Top Venues

Knowl. Inf. Syst.

Pattern Recognit. Lett.

Publications

Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
A probabilistic generative model to discover the treatments of coexisting diseases with missing data. Comput. Methods Programs Biomed. 243 (2024)
Marco Capó, Aritz Pérez, José Antonio Lozano
Fast $K$-Medoids With the $l_{1}$-Norm. IEEE Trans. Artif. Intell. 5 (4) (2024)
Carlos Echegoyen, Aritz Pérez, Guzmán Santafé, Unai Pérez-Goya, María Dolores Ugarte
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences. Stat. Comput. 34 (2) (2024)
Ioar Casado, Luis A. Ortega, Andrés R. Masegosa, Aritz Pérez
PAC-Bayes-Chernoff bounds for unbounded losses. CoRR (2024)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
On the Fair Comparison of Optimization Algorithms in Different Machines. CoRR (2023)
Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
Learning the progression patterns of treatments using a probabilistic generative model. J. Biomed. Informatics 137 (2023)
Arkaitz Bidaurrazaga, Aritz Pérez, Roberto Santana
Structural Restricted Boltzmann Machine for image denoising and classification. CoRR (2023)
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
Efficient Learning of Minimax Risk Classifiers in High Dimensions. CoRR (2023)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. 32 (2) (2023)
Marco Capó, Aritz Pérez, José Antonio Lozano
LASSO for streaming data with adaptative filtering. Stat. Comput. 33 (1) (2023)
Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels. Knowl. Inf. Syst. 65 (1) (2023)
Marco Capó, Aritz Pérez, José Antonio Lozano
Fast computation of cluster validity measures for bregman divergences and benefits. Pattern Recognit. Lett. 170 (2023)
Judith Echevarrieta, Etor Arza, Aritz Pérez
Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems. CoRR (2023)
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
Efficient Learning of Minimax Risk Classifiers in High Dimensions. UAI (2023)
Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, Jose A. Lozano
Time-dependent Probabilistic Generative Models for Disease Progression. CoRR (2023)
Jerónimo Hernández-González, Aritz Pérez
On the relative value of weak information of supervision for learning generative models: An empirical study. Int. J. Approx. Reason. 150 (2022)
Ioar Casado, Aritz Pérez
Dirichlet process mixture models for non-stationary data streams. CoRR (2022)
Carlos Echegoyen, Aritz Pérez, Guzmán Santafé, Unai Pérez-Goya, María Dolores Ugarte
Semantic Clustering of a Sequence of Satellite Images. CoRR (2022)
Santiago Mazuelas, Yuan Shen, Aritz Pérez
Generalized Maximum Entropy for Supervised Classification. IEEE Trans. Inf. Theory 68 (4) (2022)
Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
Machine Learning From Crowds Using Candidate Set-Based Labeling. IEEE Intell. Syst. 37 (6) (2022)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Comparing two samples through stochastic dominance: a graphical approach. CoRR (2022)
Marco Capó, Aritz Pérez, José Antonio Lozano
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
An active adaptation strategy for streaming time series classification based on elastic similarity measures. Neural Comput. Appl. 34 (16) (2022)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Implementing the cumulative difference plot in the IOHanalyzer. GECCO Companion (2022)
Ari Urkullu, Aritz Pérez, Borja Calvo
Are the statistical tests the best way to deal with the biomarker selection problem? Knowl. Inf. Syst. 64 (6) (2022)
Ioar Casado, Aritz Pérez
Dirichlet process mixture models for non-stationary data streams. ICDM (2022)
Jose Luis Flores, Borja Calvo, Aritz Pérez
Non-parametric discretization for probabilistic labeled data. Pattern Recognit. Lett. 161 (2022)
Ari Urkullu, Aritz Pérez, Borja Calvo
Statistical model for reproducibility in ranking-based feature selection. Knowl. Inf. Syst. 63 (2) (2021)
Marco Capó, Aritz Pérez, José Antonio Lozano
A Cheap Feature Selection Approach for the K-Means Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
MRCpy: A Library for Minimax Risk Classifiers. CoRR (2021)
Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
K-means for Evolving Data Streams. ICDM (2021)
Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser
Rank Aggregation for Non-stationary Data Streams. ECML/PKDD (3) (2021)
Etor Arza, Aritz Pérez, Ekhiñe Irurozki, Josu Ceberio
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. Swarm Evol. Comput. 59 (2020)
Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences. Neural Networks 128 (2020)
Santiago Mazuelas, Aritz Pérez
General Supervision via Probabilistic Transformations. ECAI (2020)
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
Minimax Classification with 0-1 Loss and Performance Guarantees. NeurIPS (2020)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. 34 (3) (2020)
Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki
An adaptive neuroevolution-based hyperheuristic. GECCO Companion (2020)
Santiago Mazuelas, Yuan Shen, Aritz Pérez
Generalized Maximum Entropy for Supervised Classification. CoRR (2020)
George Orfanides, Aritz Pérez
Learning decomposable models by coarsening. PGM (2020)
Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
Passive Approach for the K-means Problem on Streaming Data. CoRR (2020)
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
Minimax Classification with 0-1 Loss and Performance Guarantees. CoRR (2020)
Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki
Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. GECCO (Companion) (2019)
Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. CoRR (2019)
Santiago Mazuelas, Aritz Pérez
General Supervision via Probabilistic Transformations. CoRR (2019)
Ari Urkullu, Aritz Pérez, Borja Calvo
On the evaluation and selection of classifier learning algorithms with crowdsourced data. Appl. Soft Comput. 80 (2019)
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
On-line Elastic Similarity Measures for time series. Pattern Recognit. 88 (2019)
Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser
Online Ranking with Concept Drifts in Streaming Data. CoRR (2019)
Jose Luis Flores, Borja Calvo, Aritz Pérez
Supervised non-parametric discretization based on Kernel density estimation. Pattern Recognit. Lett. 128 (2019)
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
Supervised classification via minimax probabilistic transformations. CoRR (2019)
Aritz Pérez, Christian Blum, José Antonio Lozano
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models. PGM (2018)
Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures. IDC (2018)
Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
Crowd Learning with Candidate Labeling: An EM-Based Solution. CAEPIA (2018)
Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
Weak Labeling for Crowd Learning. CoRR (2018)
Aritz Pérez, Josu Ceberio, José Antonio Lozano
Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC (2018)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K -means clustering algorithm for massive data. CoRR (2018)
Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
Nature-inspired approaches for distance metric learning in multivariate time series classification. CEC (2017)
Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
On-Line Dynamic Time Warping for Streaming Time Series. ECML/PKDD (2) (2017)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient approximation to the K-means clustering for massive data. Knowl. Based Syst. 117 (2017)
Marco Capó, Aritz Pérez, José Antonio Lozano
An efficient K-means algorithm for Massive Data. CoRR (2016)
Aritz Pérez, Iñaki Inza, José Antonio Lozano
Efficient approximation of probability distributions with k-order decomposable models. Int. J. Approx. Reason. 74 (2016)
Aritz Pérez, Christian Blum, José Antonio Lozano
Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming. Probabilistic Graphical Models (2014)
Jose A. Fernandes, José Antonio Lozano, Iñaki Inza, Xabier Irigoien, Aritz Pérez, Juan Diego Rodríguez
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting. Environ. Model. Softw. 40 (2013)
Matej Guid, Aritz Pérez, Ivan Bratko
How Trustworthy is Crafty's Analysis of Chess Champions? J. Int. Comput. Games Assoc. 31 (3) (2008)