"Local Data Characteristics in Learning Classifiers from Imbalanced Data"

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Book	Author(s)	Year	Publisher
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Imbalanced Learning: Foundations, Algorithms, and Applications	Haibo He; Yunqian Ma	2013	Wiley-IEEE Press
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press,
Learning kernel classifiers: theory and algorithms /	Herbrich, Ralf.	[2002], ©2002.	MIT Press,
Statistical Methods for Imbalanced Data in Ecological and Biological Studies	Osamu Komori; Shinto Eguchi	1st ed. 2019	Springer Japan
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods	Sarah Vluymans	1st ed. 2019	Springer International Publishing
Statistics: learning from data	Jay L. Devore; Roxy Peck	2014	Brooks/Cole, Cengage Learning
Statistics: Learning from Data	Roxy Peck	2014	Brooks Cole
Statistics: learning from data	Thomas H. Short; Roxy Peck	2019	Cengage Learning
Statistics: Learning from Data	Jay L. Devore; Roxy Peck	2013	Brooks/Cole
Learning from local authority budgeting	H. J. Elcock; A. G. Jordan	1987	Avebury
Learning from Data Streams in Dynamic Environments	Moamar Sayed-Mouchaweh	1st ed. 2016	Springer International Publishing
Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination	Michal Wozniak	2014	Springer Berlin Heidelberg
Scientific Inference: Learning from Data	Simon Vaughan	2013-09	Cambridge University Press
Utility-Based Learning from Data	Craig Friedman; Sven Sandow	2010	Routledge
Deep Learning Classifiers with Memristive Networks: Theory and Applications	Alex Pappachen James	1st ed. 2020	Springer International Publishing
Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019)	Luca Oneto; Nicolò Navarin; Alessandro Sperduti; Davide Anguita	1st ed. 2020	Springer International Publishing
Advances in Large-Margin Classifiers	Alexander J. Smola; Peter Bartlett; Bernhard Schölkopf; Dale Schuurmans	2000	MIT Press
Advances in Large-Margin Classifiers	Alexander J. Smola; Peter Bartlett; Bernhard Schölkopf; Dale Schuurmans	2000	MIT Press,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Local Data Characteristics in Learning Classifiers from Imbalanced Data	Jerzy Błaszczyński; Jerzy Stefanowski	Advances in Data Analysis with Computational Intelligence Methods: Dedicated to Professor Jacek Żurada	Adam E Gawęda; Janusz Kacprzyk; Leszek Rutkowski; Gary G. Yen	1st ed. 2018	Springer International Publishing
The Impact of Local Data Characteristics on Learning from Imbalanced Data	Jerzy Stefanowski	Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings	Marzena Kryszkiewicz; Chris Cornelis; Davide Ciucci; Jesús Medina-Moreno; Hiroshi Motoda; Zbigniew Ras	2014	Springer International Publishing
Learning from Imbalanced Data	Sarah Vluymans	Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods	Sarah Vluymans	1st ed. 2019	Springer International Publishing
Learning from Imbalanced Data Streams	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
Imbalanced Data Learning	Edward Y. Chang	Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception	Edward Y. Chang	2011	Springer Berlin Heidelberg
Overlapping, Rare Examples and Class Decomposition in Learning Classifiers from Imbalanced Data	Jerzy Stefanowski	Emerging Paradigms in Machine Learning	Sheela Ramanna; Lakhmi C Jain; Robert J. Howlett	2013	Springer Berlin Heidelberg
Learning from Imbalanced Data: Evaluation Matters	Troy Raeder; George Forman; Nitesh V. Chawla	Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification	Dawn E. Holmes; Lakhmi C Jain	2012	Springer Berlin Heidelberg
Imbalanced Datasets: From Sampling to Classifiers		Imbalanced Learning: Foundations, Algorithms, and Applications	Haibo He; Yunqian Ma	2013	Wiley-IEEE Press
Learning Classifiers from Semantically Heterogeneous Data	Doina Caragea; Jyotishman Pathak; Vasant G. Honavar	On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE: OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2004, Agia Napa, Cyprus, October 25-29, 2004. Proceedings. Part II	Zahir Tari	2004	Springer Berlin Heidelberg
Learning Classifiers from		Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends	Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero, Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero	2009	Information Science Reference
Learning from Imbalanced Data: A Comparative Study	Yu Sui; Mengze Yu; Haifeng Hong; Xianxian Pan	Security and Privacy in Social Networks and Big Data: 5th International Symposium, SocialSec 2019, Copenhagen, Denmark, July 14-17, 2019, Revised Selected Papers	Weizhi Meng; Steven Furnell	1st ed. 2019	Springer Nature Singapore
Learning Relational Bayesian Classifiers from RDF Data	Harris T. Lin; Neeraj Koul; Vasant Honavar	The Semantic Web -- ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I	Lora Aroyo; Chris Welty; Harith Alani; Jamie Taylor; Abraham Bernstein; Lalana Kagal; Natasha Noy; Eva Blomqvist	2011	Springer Berlin Heidelberg
Imbalanced learning		Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch	Shruti Jadon, Ankush Garg	2020	Packt Publishing
Imbalanced Learning		Self-Adaptive Systems for Machine Intelligence	Haibo He	2011	John Wiley & Sons
Low-Dimensional Representation Learning from Imbalanced Data Streams	Łukasz Korycki; Bartosz Krawczyk	Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I	Kamal Karlapalem; Hong Cheng; Naren Ramakrishnan; R. K. Agrawal; P. Krishna Reddy; Jaideep Srivastava; Tanmoy Chakraborty	1st ed. 2021	Springer International Publishing
Collective of Base Classifiers for Mining Imbalanced Data	Joanna Jedrzejowicz; Piotr Jedrzejowicz	Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022, Proceedings, Part II	Derek Groen; Clélia de Mulatier; Maciej Paszynski; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot	1st ed. 2022	Springer International Publishing
Dealing with Data Difficulty Factors While Learning from Imbalanced Data	Jerzy Stefanowski	Challenges in Computational Statistics and Data Mining	Stan Matwin; Jan Mielniczuk	2016	Springer International Publishing
Classification of Imbalanced Data: Addressing Data Intrinsic Characteristics	Armaan Garg; Vishali Aggarwal; Neeti Taneja	Futuristic Trends in Networks and Computing Technologies: Second International Conference, FTNCT 2019, Chandigarh, India, November 22–23, 2019, Revised Selected Papers	Pradeep Kumar Singh; Sanjay Sood; Yugal Kumar; Marcin Paprzycki; Anton Pljonkin; Wei-Chiang Hong	1st ed. 2020	Springer Nature Singapore
Evaluation of the Classifiers in Multiparameter and Imbalanced Data Sets	Piotrowska Ewelina	Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019: Part II	Jerzy Świątek; Leszek Borzemski; Zofia Wilimowska	1st ed. 2020	Springer International Publishing
Learning Bayesian Classifiers from Dependency Network Classifiers	José A. Gámez; Juan L. Mateo; José M. Puerta	Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I	Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin Iwanowski; Bernadete Ribeiro	2007	Springer Berlin Heidelberg
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Showing 1 to 20 of 100 entries

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