"Taking Advantage of the Web for Text Classification with Imbalanced Classes"

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Book	Author(s)	Year	Publisher
Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Taking Advantage of Adversity	Gail Feldman	August 1, 2002	Little Brown U.K.
Classification. : Outline scheme of classes.	Library of Congress. Classification Division.	1907	Gov't. print. off., Library division
Constructing classes: towards a new social classification for the UK	Karen O'Reilly; Rose, David	1997	ESRC/ONS
Operations strategies for competitive advantage: text and cases	E. C. Etienne-Hamilton	1994	Dryden Press
A text book for parlimentary [!] practice classes	Ida E. Wulff	1922
From Crisis to Creativity: Taking Advantage of Adversity	Gail C. Feldman	January 1999	Bookpartners
Classification: Outline Scheme of Classes. Preliminary, December, 1909	Classification Division; Library of Congress	1910	Gov't print. off.
Taking Small Classes One Step Further	Jeremy D. Finn	August 1, 2002	Information Age Publishing;Information Age Pub.
The Integrity Advantage: How Taking the High Road Creates a Competetive Advantage in Business	Adrian Robert Gostick	2004	Gibbs Smith
The Integrity Advantage: How Taking the High Road Creates a Competitive Advantage in Business	Adrian Gostick; Dana Telford	April 3, 2003	Gibbs Smith, Publisher
The Kingdom of love: a text-book for classes in religion	Blanche Carrier	1927	George H. Doran Company
Commercial law: a text-book for commercial classes.	J. B. C. Munro	1893	Macmillan
An introductory text-book of zoology: For the Use of Junior Classes	Henry Alleyne Nicholson	1875	W. Blackwood
Web Applications with Elm: Functional Programming for the Web	Wolfgang Loder	1st ed.	Apress
Managing with Conscience for Competitive Advantage	Pete Geissler	September 2004	ASQ Quality Press
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Google Web Toolkit: Taking the pain out of Ajax	Burnette E.	2006
Strategic Management and Online Selling: Creating competitive advantage with intangible web goods	Susanne Royer	2005	Routledge
Classification: Outline Scheme of Classes. Reprint of Revision of 1920	Classification Division; Library of Congress	1922	Govt. print. off.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Taking Advantage of the Web for Text Classification with Imbalanced Classes	Rafael Guzmán-Cabrera; Manuel Montes-y-Gómez; Paolo Rosso; Luis Villaseñor-Pineda	MICAI 2007: Advances in Artificial Intelligence: 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings	Alexander Gelbukh; Àngel Fernando Kuri Morales	2007	Springer Berlin Heidelberg
Imbalanced Classification with Multiple Classes	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Utilizing DTRS for Imbalanced Text Classification	Bing Zhou; Yiyu Yao; Qingzhong Liu	Rough Sets: International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings	Víctor Flores; Fernando Gomide; Andrzej Janusz; Claudio Meneses; Duoqian Miao; Georg Peters; Dominik Ślęzak; Guoyin Wang; Richard Weber; Yiyu Yao	1st ed. 2016	Springer International Publishing
Dealing with imbalanced classes		Hands-On Deep Learning for Finance: Implement deep learning techniques and algorithms to create powerful trading strategies	Luigi Troiano, Arjun Bhandari, Elena Mejuto Villa	2020	Packt Publishing
Classwise Clustering for Classification of Imbalanced Text Data	K. Swarnalatha; D. S. Guru; Basavaraj S. Anami; Mahamad Suhil	Emerging Research in Electronics, Computer Science and Technology: Proceedings of International Conference, ICERECT 2018	V. Sridhar; M.C. Padma; K.A. Radhakrishna Rao	1st ed. 2019	Springer Nature Singapore
Imbalanced classes		Machine learning pocket reference: working with structured data in Python	Harrison, Matt	2019	O'Reilly Media
Imbalanced Classes		Behavior Analysis with Machine Learning and R A Sensors and Data Driven Approach	Enrique Garcia Ceja	2021	leanpub.com/
Adaptable Focal Loss for Imbalanced Text Classification	Lu Cao; Xinyue Liu; Hong Shen	Parallel and Distributed Computing, Applications and Technologies: 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17–19, 2021, Proceedings	Hong Shen; Yingpeng Sang; Yong Zhang; Nong Xiao; Hamid R. Arabnia; Geoffrey Fox; Ajay Gupta; Manu Malek	1st ed. 2022	Springer International Publishing
Taking advantage of content negotiation classes		Django RESTful Web Services: The easiest way to build Python RESTful APIs and web services with Django	Gaston C. Hillar	2018	Packt Publishing
Classification with Imbalanced Data		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Classification with Imbalanced Data		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Classification on Imbalanced Data Sets, Taking Advantage of Errors to Improve Performance	Asdrúbal López-Chau; Farid García-Lamont; Jair Cervantes	Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III	De-Shuang Huang; Kyungsook Han	1st ed. 2015	Springer International Publishing
Naive Bayes for Text Classification with Unbalanced Classes	Eibe Frank; Remco R. Bouckaert	Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings	Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou	2006	Springer Berlin Heidelberg
Imbalanced Classification		Modern Mainframe Development: COBOL, Databases, and Next-Generation Approaches	Tom Taulli	2022	O'Reilly Media
Taking advantage of generic object functions with S3 classes		R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis	Dan Maclean	2019-10-11	Packt Publishing, Limited
Intuition for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Undersampling for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
SVM for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Bagging for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Taking advantage of generic classes and viewsets		Django RESTful Web Services: The easiest way to build Python RESTful APIs and web services with Django	Gaston C. Hillar	2018	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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