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A

Aritz Pérez

basque center of applied mathematics

18H指数
91论文数
3.9K被引数
收录论文 21
发表时间
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Federated discretization for supervised classification联邦离散化用于监督分类
errData Mining and Knowledge Discovery
IF4.3
err2026-08-29
err0
errOAAI
errJose Luis Flores; Borja Calvo; Aritz Pérez
err分享
err收藏
A probabilistic generative model to discover the treatments of coexisting diseases with missing data发现数据缺失的共存疾病治疗的概率生成模型
errCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
IF4.8
err2024-01-01
err0
PREAI
errZaballa, Onintze; Perez, Aritz; Gomez-Inhiesto, Elisa; Acaiturri-Ayesta, Teresa; Lozano, Jose A.
err分享
err收藏
Fast computation of cluster validity measures for bregman divergences and benefits
errPATTERN RECOGNITION LETTERS
IF3.3
err2023-06-01
err4
errOAAI
errCapo, Marco; Perez, Aritz; Lozano, Jose A.
err分享
err收藏
Learning the progression patterns of treatments using a probabilistic generative model使用概率生成模型学习治疗的进展模式
errJOURNAL OF BIOMEDICAL INFORMATICS
IF4.5
err2023-01-01
err6
errOAAI
errZaballa, Onintze; Perez, Aritz; Gomez Inhiesto, Elisa; Ayesta, Teresa Acaiturri; Lozano, Jose A.
err分享
err收藏
Machine Learning From Crowds Using Candidate Set-Based Labeling
errIEEE INTELLIGENT SYSTEMS
IF6.1
err2022-11-01
err0
errOAAI
errBenaran-Munoz, Iker; Hernandez-Gonzalez, Jeronimo; Perez, Aritz
err分享
err收藏
On the relative value of weak information of supervision for learning generative models: An empirical study关于学习生成模型的监督弱信息的相对价值: 一项实证研究
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2022-11-01
err0
errOAAI
errHernandez-Gonzalez, Jeronimo; Perez, Aritz
err分享
err收藏
Non-parametric discretization for probabilistic labeled data
errPATTERN RECOGNITION LETTERS
IF3.3
err2022-09-01
err2
errOAAI
errLuis Flores, Jose; Calvo, Borja; Perez, Aritz
err分享
err收藏
A machine learning approach to predict healthcare cost of breast cancer patients
errSCIENTIFIC REPORTS
IF3.9
err2021-06-14
err8
errOAAI
errRakshit, Pratyusha; Zaballa, Onintze; Perez, Aritz; Gomez-Inhiesto, Elisa; Acaiturri-Ayesta, Maria T.; Lozano, Jose A.
err分享
err收藏
A Cheap Feature Selection Approach for the K-Means Algorithm一种用于k-means算法的廉价特征选择方法
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2021-05-01
err24
errOAAI
errCapo, Marco; Perez, Aritz; Lozano, Jose A.
err分享
err收藏
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences使用边缘计数序列之间的弹性相似性度量对对抗攻击进行鲁棒的图像分类
errNEURAL NETWORKS
IF6.3
err2020-08-01
err10
PREAI
errOregi, Izaskun; Del Ser, Javier; Perez, Aritz; Lozano, Jose A.
err分享
err收藏
An Efficient Split-Merge Re-Start for the K-Means AlgorithmK-means算法的一种高效分裂合并重启
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2020-01-01
err21
PREAI
errCapo, Marco; Perez, Aritz; Antonio, Jose A.
err分享
err收藏
Supervised non-parametric discretization based on Kernel density estimation
errPATTERN RECOGNITION LETTERS
IF3.3
err2019-12-01
err8
errOAAI
errLuis Flores, Jose; Calvo, Borja; Perez, Aritz
err分享
err收藏
On-line Elastic Similarity Measures for time series时间序列的在线弹性相似性度量
errPATTERN RECOGNITION
IF7.6
err2019-04-01
err22
errOAAI
errOregi, Izaskun; Perez, Aritz; Del Ser, Javier; Lozano, Jose A.
err分享
err收藏
An efficient approximation to the K-means clustering for massive data面向海量数据的k-means聚类的一种有效近似方法
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2017-02-01
err163
errOAAI
errCapo, Marco; Perez, Aritz; Lozano, Jose A.
err分享
err收藏
Efficient approximation of probability distributions with k-order decomposable models
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2016-07-01
err4
errOAAI
errPerez, Aritz; Inza, Inaki; Lozano, Jose A.
err分享
err收藏
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species
errECOLOGICAL INFORMATICS
IF7.3
err2015-01-01
err18
PREAI
errFernandes, Jose A.; Irigoien, Xabier; Lozano, Jose A.; Inza, Inaki; Goikoetxea, Nerea; Perez, Aritz
err分享
err收藏
A general framework for the statistical analysis of the sources of variance for classification error estimators
errPATTERN RECOGNITION
IF7.6
err2013-03-01
err24
PREAI
errRodriguez, Juan D.; Perez, Aritz; Lozano, Jose A.
err分享
err收藏
The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian networks: the case of Bay of Biscay anchovy
errICES JOURNAL OF MARINE SCIENCE
IF3.4
err2011-01-01
err13
errOAAI
errAndonegi, Eider; Antonio Fernandes, Jose; Quincoces, Inaki; Irigoien, Xabier; Uriarte, Andres; Perez, Aritz; Howel, Daniel; Stefanssons, Gunnar
err分享
err收藏
Bayesian classifiers based on kernel density estimation: Flexible classifiers基于核密度估计的贝叶斯分类器: 柔性分类器
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2009-02-01
err140
errOAAI
errPerez, Aritz; Larranaga, Pedro; Inza, Inaki
err分享
err收藏
Supervised classification with conditional Gaussian networks:: Increasing the structure complexity from naive Bayes
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2006-09-01
err98
errOAAI
errPerez, Aritz; Larranaga, Pedro; Inza, Inaki
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
X
Xabier Irigoien
H 指数: 67 · 论文数: 271
J
Javier Del Ser
H 指数: 59 · 论文数: 560
P
Pedro Larrañaga
H 指数: 58 · 论文数: 431
J
José A. Lozano
H 指数: 52 · 论文数: 476
C
Concha Bielza
H 指数: 40 · 论文数: 339
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