Aritz PC3A9rez

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Aritz Pérez [1] Aritz Pérez Martínez,

a Spanish computer scientist, researcher at the University of the Basque Country [2], and its affiliated Basque Center for Applied Mathematics. His research interests include machine learning, probabilistic graphical models, Bayesian networks, hypothesis testing and bioinformatics [3]. In 2007, he joined Matej Guid and Ivan Bratko in their investigation to compare moves played by World Chess Champions with Crafty’s choices [4] [5] [6] [7], concerning how using stronger chess programs, searching more deeply, or using larger sets of positions would influence the conclusion of the relative playing strength of World Champions [8].

Selected Publications

Aritz Pérez (2010). Supervised classification in continuous domains with Bayesian networks. Ph. D. thesis, pdf
Marco Capó, Aritz Pérez, José Antonio Lozano (2016). An efficient K-means algorithm for Massive Data. arXiv:1605.02989
Marco Capó, Aritz Pérez, José Antonio Lozano (2018). An efficient K -means clustering algorithm for massive data. arXiv:1801.02949
Santiago Mazuelas, Aritz Pérez (2019). General Supervision via Probabilistic Transformations. arXiv:1901.08552
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez (2019). Supervised classification via minimax probabilistic transformations. arXiv:1902.00693

Santiago Mazuelas, Yuan Shen, Aritz Pérez (2020). Generalized Maximum Entropy for Supervised Classification. arXiv:2007.05447
Santiago Mazuelas, Andrea Zanoni, Aritz Pérez (2020). Minimax Classification with 0-1 Loss and Performance Guarantees. arXiv:2010.07964