"Classifying Imbalanced Dataset Using Local Classifier Fusion"

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Book	Author(s)	Year	Publisher
Environmental Modeling Using Satellite Imaging and Dataset Re-processing	Moses Eterigho Emetere	1st ed. 2019	Springer International Publishing
Classifying	KRISTA PETTIT	November 8, 2004	Teacher Created Resources
Classifying Spaces and Classifying Topoi	Izak Moerdijk	1995	Springer Berlin Heidelberg
Classifying Insects (Classifying Living Things)	Andrew Solway	April 2003	Heinemann
Classifying Birds (Classifying Living Things)	Andrew Solway	January 2003	Heinemann
Classifying Reptiles (Classifying Living Things)	Louise Spilsbury	January 2003	Heinemann
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Classifying Flowering Plants (Classifying Living Things)	Francine D. Galko	August 2003	Heinemann
Classifying Nonflowering Plants (Classifying Living Things)	Francine D. Galko	August 2003	Heinemann
Dataset Shift in Machine Learning	Joaquin Quiñonero-Candela; Masashi Sugiyama; Anton Schwaighofer; Neil D. Lawrence	2009	MIT Press
Dataset Shift in Machine Learning	Joaquin Quiñonero-Candela; Masashi Sugiyama; Anton Schwaighofer; Neil D. Lawrence	2008	The MIT Press
Fuzzy Classifier Design	Ludmila I. Kuncheva	2000	Physica-Verlag HD
Classifying Reality	David S. Oderberg	2013	John Wiley & Sons
Classifying Mammals	Andrew Solway	2009	Raintree Publishers;Heinemann Library
Classifying Fish	Richard Spilsbury; Louise Spilsbury; Heinemann Library Staff	2009	Capstone
VFX FundamentalsVisual Special Effects Using Fusion 8. 0	Wallace Jackson	2016	Apress
Imbalanced Learning: Foundations, Algorithms, and Applications	Haibo He; Yunqian Ma	2013	Wiley-IEEE Press
Anticipatory learning classifier systems	Martin V. Butz	2002	Kluwer Academic Publishers
Anticipatory Learning Classifier Systems	Martin V. Butz	2002	Springer US
VFX Fundamentals: Visual Special Effects Using Fusion 8. 0	Wallace Jackson	1st ed.	Apress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Classifying Imbalanced Dataset Using Local Classifier Fusion	Tong Liu; Weijian Ni; Yongquan Liang	Computer, Informatics, Cybernetics and Applications: Proceedings of the CICA 2011	Xingui He; Ertian Hua; Yun Lin; Xiaozhu Liu	2012	Springer Netherlands
Classifier Fusion Using Local Confidence	Eunju Kim; Wooju Kim; Yillbyung Lee	Foundations of Intelligent Systems: 13th International Symposium, ISMIS 2002, Lyon, France, June 27-29, 2002. Proceedings	Mohand-Saïd Hacid; Zbigniew W. Raś; Djamel A. Zighed; Yves Kodratoff	2002	Springer Berlin Heidelberg
Imbalanced Classification Dataset		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Classifier Fusion		Encyclopedia of Social Network Analysis and Mining	Reda Alhajj; Jon Rokne	2014	Springer New York
Classifier Fusion		Encyclopedia of Biometrics	Stan Z. Li	2009	Springer US
Classifier Fusion		Encyclopedia of Social Network Analysis and Mining	Reda Alhajj; Jon Rokne	2nd ed. 2018	Springer New York
Classifier Fusion Using Triangular Norms	Piero Bonissone; Kai Goebel; Weizhong Yan	Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings	Fabio Roli; Josef Kittler; Terry Windeatt	2004	Springer Berlin Heidelberg
Classifying MNIST dataset using random forest		Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning	Md. Rezaul Karim; Sridhar Alla	2017	Packt Publishing - ebooks Account
Classifying Severely Imbalanced Data	William Klement; Szymon Wilk; Wojtek Michalowski; Stan Matwin	Advances in Artificial Intelligence: 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John' s, Canada, May 25-27, 2011, Proceedings	Cory Butz; Pawan Lingras	2011	Springer Berlin Heidelberg
Classifying Severely Imbalanced Da		Advances in Artificial Intelligence: 24th Canadian Conference on Artificial Intelligence, Canadian AI 2011, St. John’s, Canada, May 25-27, 2011. Proceedings	Eric Aaron, Juan Pablo Mendoza (auth.), Cory Butz, Pawan Lingras (eds.)	2011	Springer-Verlag Berlin Heidelberg
Classifying text using a Naive Bayes classifier		Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python	Tarek Amr	2020	Packt Publishing Ltd
Classifying emails using the Naive Bayes classifier		MACHINE LEARNING FOR OPENCV 4: intelligent algorithms for building image processing apps. . . using opencv 4, python, and scikit-learn, 2nd edit.	ADITYA SHRIMALI VISHWESH RAVI BEYELER MICHAEL SHARMA	2019	PACKT PUBLISHING LIMITED
Classifying the Iris dataset using logistic regression		Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python	Tarek Amr	2020	Packt Publishing Ltd
Multiple Classifier Fusion		Encyclopedia of Biometrics	Stan Z. Li	2009	Springer US
A Rough-Set-Based Two-Class Classifier for Large Imbalanced Dataset	Junzo Watada; Lee-Chuan Lin; Lei Ding; Mohd. Ibrahim Shapiai; Lim Chun Chew; Zuwairie Ibrahim et al.	Advances in Intelligent Decision Technologies: Proceedings of the Second KES International Symposium IDT 2010	Gloria Phillips-Wren	2010	Springer Berlin Heidelberg
Classifying a harder dataset		Building Machine Learning Systems with Python	Willi Richert; Luis Pedro Coelho	2013	Packt Publishing Limited
Illumination Invariant Face Detection Using Classifier Fusion	Alister Cordiner; Philip Ogunbona; Wanqing Li	Advances in Multimedia Information Processing - PCM 2008: 9th Pacific Rim Conference on Multimedia, Tainan, Taiwan, December 9-13, 2008, Proceedings	Yueh-Min Ray Huang; Changsheng Xu; Kuo-Sheng Cheng; Jar-Ferr Kevin Yang; M.N.S. Swamy; Shipeng Li; Jen-Wen Ding	2008	Springer Berlin Heidelberg
Automated Essay Scoring Using Multi-classifier Fusion	Li Bin; Yao Jian-Min	Computing and Intelligent Systems: International Conference, ICCIC 2011, held in Wuhan, China, September 17-18, 2011. Proceedings, Part III	Yanwen Wu	2011	Springer Berlin Heidelberg
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift	Robert Anderson; Yun Sing Koh; Gillian Dobbie	Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings	Thuc D. Le; Kok-Leong Ong; Yanchang Zhao; Warren H. Jin; Sebastien Wong; Lin Liu; Graham Williams	1st ed. 2019	Springer Nature Singapore
Arabic Cyberbullying Detection from Imbalanced Dataset Using Machine Learning	Meshari Essa AlFarah; Ibrahim Kamel; Zaher Al Aghbari; Djedjiga Mouheb	Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, Revised Selected Papers	Kanubhai K. Patel; Gayatri Doctor; Atul Patel; Pawan Lingras	1st ed. 2022	Springer International Publishing
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