Accuracy and diversity in classifier selection for one-class classification ensembles

2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL) ◽

10.1109/ciel.2013.6613139 ◽

2013 ◽

Author(s):

Bartosz Krawczyk ◽

Michal Wozniak

Keyword(s):

Classifier Selection ◽

Selection For ◽

One Class Classification

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Dynamic classifier selection for one-class classification

Knowledge-Based Systems ◽

10.1016/j.knosys.2016.05.054 ◽

2016 ◽

Vol 107 ◽

pp. 43-53 ◽

Author(s):

Bartosz Krawczyk ◽

Michał Woźniak

Keyword(s):

Classifier Selection ◽

Dynamic Classifier Selection ◽

Selection For ◽

One Class Classification

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Classifier selection for majority voting

Information Fusion ◽

10.1016/j.inffus.2004.04.008 ◽

2005 ◽

Vol 6 (1) ◽

pp. 63-81 ◽

Author(s):

Dymitr Ruta ◽

Bogdan Gabrys

Keyword(s):

Majority Voting ◽

Classifier Selection ◽

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Classifier Selection for Locomotion Mode Recognition Using Wearable Capacitive Sensing Systems

Robot Intelligence Technology and Applications 2 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-05582-4_67 ◽

2014 ◽

pp. 763-774 ◽

Author(s):

Yi Song ◽

Yating Zhu ◽

Enhao Zheng ◽

Fei Tao ◽

Qining Wang

Keyword(s):

Capacitive Sensing ◽

Sensing Systems ◽

Classifier Selection ◽

Mode Recognition ◽

Locomotion Mode ◽

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Single Classifier Selection for Ensemble Learning

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-49586-6_21 ◽

2016 ◽

pp. 312-328

Author(s):

Guangtao Wang ◽

Xiaomei Yang ◽

Xiaoyan Zhu

Keyword(s):

Ensemble Learning ◽

Classifier Selection ◽

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Salient feature and reliable classifier selection for facial expression classification

Pattern Recognition ◽

10.1016/j.patcog.2009.07.007 ◽

2010 ◽

Vol 43 (3) ◽

pp. 972-986 ◽

Author(s):

Marios Kyperountas ◽

Anastasios Tefas ◽

Ioannis Pitas

Keyword(s):

Facial Expression ◽

Salient Feature ◽

Classifier Selection ◽

Selection For ◽

Facial Expression Classification ◽

Expression Classification

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Hyperparameter Selection for Gaussian Process One-Class Classification

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2014.2363457 ◽

2015 ◽

Vol 26 (9) ◽

pp. 2182-2187 ◽

Author(s):

Yingchao Xiao ◽

Huangang Wang ◽

Wenli Xu

Keyword(s):

Gaussian Process ◽

Hyperparameter Selection ◽

Selection For ◽

One Class Classification

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Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50423-6_5 ◽

2020 ◽

pp. 59-73

Author(s):

Paweł Zyblewski ◽

Michał Woźniak

Keyword(s):

Euclidean Distance ◽

Class Distribution ◽

Classifier Selection ◽

Dynamic Classifier Selection ◽

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Evaluation and model selection for unsupervised outlier detection and one-class classification

10.11606/t.55.2020.tde-07012020-105601 ◽

2020 ◽

Author(s):

Henrique Oliveira Marques

Keyword(s):

Model Selection ◽

Outlier Detection ◽

Selection For ◽

One Class Classification ◽

Unsupervised Outlier Detection

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Clustering of Writers and Cluster Dependent Classifier Selection for Offline Signature Verification

Communications in Computer and Information Science - Computer Vision and Image Processing ◽

10.1007/978-981-16-1086-8_36 ◽

2021 ◽

pp. 407-419

Author(s):

H. Annapurna ◽

K. S. Manjunatha ◽

D. S. Guru

Keyword(s):

Signature Verification ◽

Classifier Selection ◽

Offline Signature Verification ◽

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Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control

Frontiers in Neurorobotics ◽

10.3389/fnbot.2016.00015 ◽

2016 ◽

Vol 10 ◽

Author(s):

Adenike A. Adewuyi ◽

Levi J. Hargrove ◽

Todd A. Kuiken

Keyword(s):

Hand Prosthesis ◽

Classifier Selection ◽

Selection For ◽

Prosthesis Control

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