"Self-supervised Learning for Semi-supervised Time Series Classification"

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Book	Author(s)	Year	Publisher
Semi-Supervised Learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2006	MIT Press
Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Semi-supervised learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2010	MIT Press
Introduction to Semi-Supervised Learning	Xiaojin Zhu; Andrew. B Goldberg		Springer International Publishing
Graph-Based Semi-Supervised Learning	Amarnag Subramanya; Partha Pratim Talukdar		Springer International Publishing
Introduction to semi-supervised learning	Zhu X., Goldberg A.B	2009	Morgan
Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning	Te-Ming Huang; Vojislav Kecman; Ivica Kopriva	2006	Springer Berlin Heidelberg
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies	Amparo Albalate	2011	John Wiley & Sons
Semi-Supervised Dependency Parsing	Wenliang Chen; Min Zhang	1st ed. 2015	Springer Nature Singapore
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Søgaard		Springer International Publishing
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing	Anders Sogaard	2013	Morgan & Claypool Publishers
Time Series Clustering and Classification	Elizabeth Ann Maharaj; Pierpaolo D&s; Urso; Jorge Caiado	2019	Routledge
Supervised and Unsupervised Learning for Data Science	Michael W. Berry; Azlinah Mohamed; Bee Wah Yap	1st ed. 2020	Springer International Publishing
Change Detection and Image Time-Series Analysis 2- Supervised Methods	Abdourramahn Atto; Francesca Bovolo; Lorenzo Bruzzone	2021	John Wiley & Sons
Supervised Learning with Quantum Computers	Maria Schuld; Francesco Petruccione	1st ed. 2018	Springer International Publishing
Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Machine Learning for Time Series Forecasting with Python	Francesca Lazzeri PhD,	2020	John Wiley & Sons
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning	Taeho Jo	1st ed. 2021	Springer International Publishing
The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition	Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur	2020	Packt Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Self-supervised Learning for Semi-supervised Time Series Classification	Shayan Jawed; Josif Grabocka; Lars Schmidt-Thieme	Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I	Hady W. Lauw; Raymond Chi-Wing Wong; Alexandros Ntoulas; Ee-Peng Lim; See-Kiong Ng; Sinno Jialin Pan	1st ed. 2020	Springer International Publishing
Semi-supervised time series classification	L. Wei and E. Koegh	KDD-2006: proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 20-23, 2006, Philadelphia, PA, USA /	Ungar, Lyle.; Craven, Mark.; Gunopulos, Dimitrios,; Eliassi-Rad, Tina.	2006.	ACM Press,
Semi-supervised Metric Learning for Image Classification	Jiwei Hu; ChenSheng Sun; Kin Man Lam	Advances in Multimedia Information Processing -- PCM 2010, Part II: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010 Proceedings	Guoping Qiu; Kin Man Lam; Hitoshi Kiya; Xiang-Yang Xue; C.-C. Jay Kuo; Michael S. Lew	2010	Springer Berlin Heidelberg
Using Semi-supervised Learning for Question Classification	Nguyen Thanh Tri; Nguyen Minh Le; Akira Shimazu	Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead: 21st International Conference, ICCPOL 2006, Singapore, December 17-19, 2006, Proceedings	Yuji Matsumoto; Richard Sproat; Kam-Fai Wong; Min Zhang	2006	Springer Berlin Heidelberg
Semi–supervised Learning for Image Modality Classification	Alba García Seco de Herrera; Dimitrios Markonis; Ranveer Joyseeree; Roger Schaer; Antonio Foncubierta-Rodríguez; Henning Müller	Multimodal Retrieval in the Medical Domain: First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers	Henning Müller; Oscar Alfonso Jimenez del Toro; Allan Hanbury; Georg Langs; Antonio Foncubierta Rodriguez	1st ed. 2015	Springer International Publishing
Stopping Criterion Selection for Efficient Semi-supervised Time Series Classification	Chotirat Ann Ratanamahatana; Dechawut Wanichsan	Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing	Roger Lee	2008	Springer Berlin Heidelberg
Combining self-supervised and semi-supervised learning		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Semi-Supervised Classification		Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Self-Train LogitBoost for Semi-supervised Learning	Stamatis Karlos; Nikos Fazakis; Sotiris Kotsiantis; Kyriakos Sgarbas	Engineering Applications of Neural Networks: 16th International Conference, EANN 2015, Rhodes, Greece, September 25-28 2015. Proceedings	Lazaros Iliadis; Chrisina Jayne	1st ed. 2015	Springer International Publishing
Semi-supervised Self-training for Sentence Subjectivity Classification	Bin Wang; Bruce Spencer; Charles X. Ling; Harry Zhang	Advances in Artificial Intelligence: 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, Windsor, Canada, May 28-30, 2008. Proceedings	Sabine Bergler	2008	Springer Berlin Heidelberg
A Minimum Description Length Technique for Semi-Supervised Time Series Classification	Nurjahan Begum; Bing Hu; Thanawin Rakthanmanon; Eamonn Keogh	Integration of Reusable Systems	Thouraya Bouabana-Tebibel; Stuart H. Rubin	2014	Springer International Publishing
SUCCESS: A New Approach for Semi-supervised Classification of Time-Series	Kristóf Marussy; Krisztian Buza	Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I	Leszek Rutkowski; Marcin Korytkowski; Rafal Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	2013	Springer Berlin Heidelberg
Supervised Approaches: Classification Techniques for Time Series		Time Series Clustering and Classification	Elizabeth Ann Maharaj; Pierpaolo D&s; Urso; Jorge Caiado	2019	Routledge
Semi-supervised Learning	Mohamed Farouk Abdel Hady; Friedhelm Schwenker	Handbook on Neural Information Processing	Monica Bianchini; Marco Maggini; Lakhmi C. Jain	2013	Springer Berlin Heidelberg
Semi-supervised Learning	Xiaojin Zhu	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Semi-supervised Learning		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Semi-Supervised Learning	Massih-Reza Amini; Nicolas Usunier	Learning with Partially Labeled and Interdependent Data	Massih-Reza Amini; Nicolas Usunier	2015	Springer International Publishing
Semi-supervised Learning	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Semi-Supervised Learning	Kaushik Sinha	Data Classification: Algorithms and Applications	Charu C. Aggarwal	2014	Routledge
Semi-supervised Learning	Avrim Blum	Encyclopedia of Algorithms	Ming-Yang Kao	2nd ed. 2016	Springer New York
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