Aritz Pérez - RankMe

73 papers A* 5A 2B 2Misc 1Journal 54Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolution-based tool path and motion planning optimization for 5-axis CNC machining of free-form surfaces. Comput. Aided Des. Juan Zaragoza Chichell, Michal Bizzarri, Judith Echevarrieta Ibarra, Aritz Pérez, Michael Barton
2026	J	`jnl`	Minimax Generalized Cross-Entropy. CoRR Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez, Anqi Liu
2025	J	`jnl`	A Review on Single-Problem Multi-Attempt Heuristic Optimization. CoRR Judith Echevarrieta, Etor Arza, Aritz Pérez, Josu Ceberio
2025	J	`jnl`	Decentralized Federated Learning of Probabilistic Generative Classifiers. CoRR Aritz Pérez, Carlos Echegoyen, Guzmán Santafé
2025	A*	`conf`	Efficient Large-Scale Learning of Minimax Risk Classifiers. ICDM Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2025	J	`jnl`	Efficient Large-Scale Learning of Minimax Risk Classifiers. CoRR Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2025	J	`jnl`	Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems. IEEE Trans. Evol. Comput. Judith Echevarrieta, Etor Arza, Aritz Pérez
2024	J	`jnl`	A probabilistic generative model to discover the treatments of coexisting diseases with missing data. Comput. Methods Programs Biomed. Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
2024	J	`jnl`	Fast $K$-Medoids With the $l_{1}$-Norm. IEEE Trans. Artif. Intell. Marco Capó, Aritz Pérez, José Antonio Lozano
2024	J	`jnl`	Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences. Stat. Comput. Carlos Echegoyen, Aritz Pérez, Guzmán Santafé, Unai Pérez-Goya, María Dolores Ugarte
2024	A*	`conf`	PAC-Bayes-Chernoff bounds for unbounded losses. NeurIPS Ioar Casado, Luis A. Ortega Andrés, Aritz Pérez, Andrés R. Masegosa
2024	J	`jnl`	PAC-Bayes-Chernoff bounds for unbounded losses. CoRR Ioar Casado, Luis A. Ortega, Andrés R. Masegosa, Aritz Pérez
2024	J	`jnl`	Risk-based Calibration for Probabilistic Classifiers. CoRR Aritz Pérez, Carlos Echegoyen, Guzmán Santafé
2023	J	`jnl`	Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2023	A	`conf`	Efficient Learning of Minimax Risk Classifiers in High Dimensions. UAI Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2023	J	`jnl`	Efficient Learning of Minimax Risk Classifiers in High Dimensions. CoRR Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2023	J	`jnl`	Fast computation of cluster validity measures for bregman divergences and benefits. Pattern Recognit. Lett. Marco Capó, Aritz Pérez, José Antonio Lozano
2023	J	`jnl`	LASSO for streaming data with adaptative filtering. Stat. Comput. Marco Capó, Aritz Pérez, José Antonio Lozano
2023	J	`jnl`	Learning the progression patterns of treatments using a probabilistic generative model. J. Biomed. Informatics Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
2023	J	`jnl`	On the Fair Comparison of Optimization Algorithms in Different Machines. CoRR Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2023	J	`jnl`	On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels. Knowl. Inf. Syst. Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
2023	J	`jnl`	Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems. CoRR Judith Echevarrieta, Etor Arza, Aritz Pérez
2023	J	`jnl`	Structural Restricted Boltzmann Machine for image denoising and classification. CoRR Arkaitz Bidaurrazaga, Aritz Pérez, Roberto Santana
2023	J	`jnl`	Time-dependent Probabilistic Generative Models for Disease Progression. CoRR Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano
2022	J	`jnl`	An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. IEEE Trans. Knowl. Data Eng. Marco Capó, Aritz Pérez, José Antonio Lozano
2022	J	`jnl`	An active adaptation strategy for streaming time series classification based on elastic similarity measures. Neural Comput. Appl. Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
2022	J	`jnl`	Are the statistical tests the best way to deal with the biomarker selection problem? Knowl. Inf. Syst. Ari Urkullu, Aritz Pérez, Borja Calvo
2022	J	`jnl`	Comparing two samples through stochastic dominance: a graphical approach. CoRR Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2022	A*	`conf`	Dirichlet process mixture models for non-stationary data streams. ICDM Ioar Casado, Aritz Pérez
2022	J	`jnl`	Dirichlet process mixture models for non-stationary data streams. CoRR Ioar Casado, Aritz Pérez
2022	J	`jnl`	Generalized Maximum Entropy for Supervised Classification. IEEE Trans. Inf. Theory Santiago Mazuelas, Yuan Shen, Aritz Pérez
2022	—	`conf`	Implementing the cumulative difference plot in the IOHanalyzer. GECCO Companion Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2022	J	`jnl`	Machine Learning From Crowds Using Candidate Set-Based Labeling. IEEE Intell. Syst. Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
2022	J	`jnl`	Non-parametric discretization for probabilistic labeled data. Pattern Recognit. Lett. Jose Luis Flores, Borja Calvo, Aritz Pérez
2022	J	`jnl`	On the relative value of weak information of supervision for learning generative models: An empirical study. Int. J. Approx. Reason. Jerónimo Hernández-González, Aritz Pérez
2022	J	`jnl`	Semantic Clustering of a Sequence of Satellite Images. CoRR Carlos Echegoyen, Aritz Pérez, Guzmán Santafé, Unai Pérez-Goya, María Dolores Ugarte
2021	J	`jnl`	A Cheap Feature Selection Approach for the K-Means Algorithm. IEEE Trans. Neural Networks Learn. Syst. Marco Capó, Aritz Pérez, José Antonio Lozano
2021	A*	`conf`	K-means for Evolving Data Streams. ICDM Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
2021	J	`jnl`	MRCpy: A Library for Minimax Risk Classifiers. CoRR Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
2021	—	`conf`	Rank Aggregation for Non-stationary Data Streams. ECML/PKDD (3) Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser
2021	J	`jnl`	Statistical model for reproducibility in ranking-based feature selection. Knowl. Inf. Syst. Ari Urkullu, Aritz Pérez, Borja Calvo
2020	—	`conf`	An adaptive neuroevolution-based hyperheuristic. GECCO Companion Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki
2020	J	`jnl`	An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. Marco Capó, Aritz Pérez, José Antonio Lozano
2020	A	`conf`	General Supervision via Probabilistic Transformations. ECAI Santiago Mazuelas, Aritz Pérez
2020	J	`jnl`	Generalized Maximum Entropy for Supervised Classification. CoRR Santiago Mazuelas, Yuan Shen, Aritz Pérez
2020	J	`jnl`	Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. Swarm Evol. Comput. Etor Arza, Aritz Pérez, Ekhiñe Irurozki, Josu Ceberio
2020	—	`conf`	Learning decomposable models by coarsening. PGM George Orfanides, Aritz Pérez
2020	A*	`conf`	Minimax Classification with 0-1 Loss and Performance Guarantees. NeurIPS Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
2020	J	`jnl`	Minimax Classification with 0-1 Loss and Performance Guarantees. CoRR Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
2020	J	`jnl`	Passive Approach for the K-means Problem on Streaming Data. CoRR Arkaitz Bidaurrazaga, Aritz Pérez, Marco Capó
2020	J	`jnl`	Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences. Neural Networks Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
2019	—	`conf`	Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. GECCO (Companion) Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki
2019	J	`jnl`	General Supervision via Probabilistic Transformations. CoRR Santiago Mazuelas, Aritz Pérez
2019	J	`jnl`	Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. CoRR Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio
2019	J	`jnl`	On the evaluation and selection of classifier learning algorithms with crowdsourced data. Appl. Soft Comput. Ari Urkullu, Aritz Pérez, Borja Calvo
2019	J	`jnl`	On-line Elastic Similarity Measures for time series. Pattern Recognit. Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
2019	J	`jnl`	Online Ranking with Concept Drifts in Streaming Data. CoRR Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser
2019	J	`jnl`	Supervised classification via minimax probabilistic transformations. CoRR Santiago Mazuelas, Andrea Zanoni, Aritz Pérez
2019	J	`jnl`	Supervised non-parametric discretization based on Kernel density estimation. Pattern Recognit. Lett. Jose Luis Flores, Borja Calvo, Aritz Pérez
2018	Misc	`conf`	Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures. IDC Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
2018	J	`jnl`	An efficient K -means clustering algorithm for massive data. CoRR Marco Capó, Aritz Pérez, José Antonio Lozano
2018	—	`conf`	Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models. PGM Aritz Pérez, Christian Blum, José Antonio Lozano
2018	B	`conf`	Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC Aritz Pérez, Josu Ceberio, José Antonio Lozano
2018	—	`conf`	Crowd Learning with Candidate Labeling: An EM-Based Solution. CAEPIA Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
2018	J	`jnl`	Weak Labeling for Crowd Learning. CoRR Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
2017	J	`jnl`	An efficient approximation to the K-means clustering for massive data. Knowl. Based Syst. Marco Capó, Aritz Pérez, José Antonio Lozano
2017	B	`conf`	Nature-inspired approaches for distance metric learning in multivariate time series classification. CEC Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano
2017	—	`conf`	On-Line Dynamic Time Warping for Streaming Time Series. ECML/PKDD (2) Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano
2016	J	`jnl`	An efficient K-means algorithm for Massive Data. CoRR Marco Capó, Aritz Pérez, José Antonio Lozano
2016	J	`jnl`	Efficient approximation of probability distributions with k-order decomposable models. Int. J. Approx. Reason. Aritz Pérez, Iñaki Inza, José Antonio Lozano
2014	—	`conf`	Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming. Probabilistic Graphical Models Aritz Pérez, Christian Blum, José Antonio Lozano
2013	J	`jnl`	Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting. Environ. Model. Softw. Jose A. Fernandes, José Antonio Lozano, Iñaki Inza, Xabier Irigoien, Aritz Pérez, Juan Diego Rodríguez
2008	J	`jnl`	How Trustworthy is Crafty's Analysis of Chess Champions? ICGA J. Matej Guid, Aritz Pérez, Ivan Bratko