"VGG Based Unsupervised Anomaly Detection in Multivariate Time Series"

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Book	Author(s)	Year	Publisher
Change Detection and Image Time-Series Analysis Volume 1 - Unsupervised Methods	Abdourramahn Atto; Francesca Bovolo; Lorenzo Bruzzone	2021	John Wiley & Sons
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Unsupervised Pattern Discovery in Automotive Time Series: Pattern-based Construction of Representative Driving Cycles	Fabian Kai Dietrich Noering	1st ed. 2022	Springer Fachmedien Wiesbaden
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
Elements of Multivariate Time Series Analysis	Gregory C. Reinsel	1993	Springer New York
Multivariate Tests for Time Series Models	Jeff B. Cromwell; Walter C. Labys; Michael J. Hannan; Michel Terraza	July 1994	SAGE Publications, Inc
Multivariate time series analysis and applications	Wei, William W. S	2019	John Wiley & Sons
Elements of multivariate time series analysis /	Reinsel, Gregory C.	[1997], ©1997.	Springer,
Studies in Econometrics, Time Series, and Multivariate Statistics	Samuel Karlin; Takeshi Amemiya and Leo A. Goodman	1983	Academic Press
Studies in econometrics, time series, and multivariate statistics	Samuel Karlin; Takeshi Amemiya; Leo A. Goodman	1983	Academic Press
Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection	Chein-I Chang	1st ed. 2016	Springer New York
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
Time series analysis: univariate and multivariate methods /	Wei, William W. S.	2006.	Pearson Addison Wesley,
Multivariate Time Series Analysis in Climate and Environmental Research	Zhihua Zhang	1st ed. 2018	Springer International Publishing
Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks	Muhammad Usman; Vallipuram Muthukkumarasamy; Xin-Wen Wu; Surraya Khanum	1st ed. 2018	Springer Nature Singapore
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Multivariate Modelling of Non-Stationary Economic Time Series	John Hunter; Simon P. Burke; Alessandra Canepa	2nd ed. 2017	Palgrave Macmillan UK
Multivariate Time Series With Linear State Space Structure	Víctor Gómez	1st ed. 2016	Springer International Publishing
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VGG Based Unsupervised Anomaly Detection in Multivariate Time Series	Grzegorz Jabłoński	Advanced, Contemporary Control: Proceedings of KKA 2020—The 20th Polish Control Conference, Łódź, Poland, 2020	Andrzej Bartoszewicz; Jacek Kabziński; Janusz Kacprzyk	1st ed. 2020	Springer International Publishing
Forecasting Error Pattern-Based Anomaly Detection in Multivariate Time Series	Seoyoung Park; Siho Han; Simon S. Woo	Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV	Yuxiao Dong; Dunja Mladenić; Craig Saunders	1st ed. 2021	Springer International Publishing
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection	Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser	Information Security Practice and Experience: 14th International Conference, ISPEC 2018, Tokyo, Japan, September 25-27, 2018, Proceedings	Chunhua Su; Hiroaki Kikuchi	1st ed. 2018	Springer International Publishing
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series	Wadie Skaf; Tomáš Horváth	New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings	Silvia Chiusano; Tania Cerquitelli; Robert Wrembel; Kjetil Nørvåg; Barbara Catania; Genoveva Vargas-Solar; Ester Zumpano	1st ed. 2022	Springer International Publishing
Anomaly Detection of Multivariate Time Series Based on Metric Learning	Hongkai Wang; Jun Feng; Liangying Peng; Sichen Pan; Shuai Zhao; Helin Jin	Data Science: 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19–22, 2022, Proceedings, Part I	Yang Wang; Guobin Zhu; Qilong Han; Hongzhi Wang; Xianhua Song; Zeguang Lu	1st ed. 2022	Springer Nature Singapore
Anomaly Detection in Time Series	Heraldo Borges; Reza Akbarinia; Florent Masseglia	Transactions on Large-Scale Data- and Knowledge-Centered Systems L	Abdelkader Hameurlain; A Min Tjoa	1st ed. 2021	Springer Berlin Heidelberg
Unsupervised Anomaly Detection		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
An Effective Constraint-Based Anomaly Detection Approach on Multivariate Time Series	Zijue Li; Xiaoou Ding; Hongzhi Wang	Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II	Xin Wang; Rui Zhang; Young-Koo Lee; Le Sun; Yang-Sae Moon	1st ed. 2020	Springer International Publishing
Anomaly detection in time series data		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
CoRP: A Pattern-Based Anomaly Detection in Time-Series	Ines Ben Kraiem; Faiza Ghozzi; Andre Peninou; Olivier Teste	Enterprise Information Systems: 21st International Conference, ICEIS 2019, Heraklion, Crete, Greece, May 3–5, 2019, Revised Selected Papers	Joaquim Filipe; Michał Śmiałek; Alexander Brodsky; Slimane Hammoudi	1st ed. 2020	Springer International Publishing
Pattern-Based Anomaly Detection in Mixed-Type Time Series	Len Feremans; Vincent Vercruyssen; Boris Cule; Wannes Meert; Bart Goethals	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I	Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet	1st ed. 2020	Springer International Publishing
An Unsupervised Anomaly Detection Algorithm for Time Series Big Data	Wenqing Wang; Junpeng Bao; Hui He	Big Scientific Data Benchmarks, Architecture, and Systems: First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers	Rui Ren; Chen Zheng; Jianfeng Zhan	1st ed. 2019	Springer Nature Singapore
A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection	Sawenbo Gong; Zhihao Wu; Yunxiao Liu; Youfang Lin; Jing Wang	Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part I	Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto	1st ed. 2021	Springer International Publishing
DeepConAD: Deep and Confidence Prediction for Unsupervised Anomaly Detection in Time Series	Ahmad Idris Tambuwal; Aliyu Muhammad Bello	Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 2	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2020	Springer International Publishing
Unsupervised Anomaly Detection in the Wild	David Zimmerer; Daniel Paech; Carsten Lüth; Jens Petersen; Gregor Köhler; Klaus Maier-Hein	Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022	Klaus Maier-Hein; Thomas M. Deserno; Heinz Handels; Andreas Maier; Christoph Palm; Thomas Tolxdorff	1. Aufl. 2022	Springer Fachmedien Wiesbaden
Unsupervised Anomaly Detection in Production Lines	Alexander Graß; Christian Beecks; Jose Angel Carvajal Soto	Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018	Jürgen Beyerer; Christian Kühnert; Oliver Niggemann	1st ed. 2019	Springer Berlin Heidelberg
Deep Reconstruction Error Based Unsupervised Outlier Detection in Time-Series	Tsatsral Amarbayasgalan; Heon Gyu Lee; Pham Van Huy; Keun Ho Ryu	Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part II	Ngoc Thanh Nguyen; Kietikul Jearanaitanakij; Ali Selamat; Bogdan Trawiński; Suphamit Chittayasothorn	1st ed. 2020	Springer International Publishing
Anomaly Detection Algorithm Based on Pattern Density in Time Series	Mingwei Leng; Weiyi Yu; Shuai Wu; Hong Hu	Emerging Technologies for Information Systems, Computing, and Management	W. Eric Wong; Tinghuai Ma	2013	Springer New York
Anomaly Detection in Streaming Time Series Based on Bounding Boxes	Heider Sanchez; Benjamin Bustos	Similarity Search and Applications: 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2104, Proceedings	Agma Juci Machado Traina; Caetano Traina Jr.; Robson Leonardo Ferreira Cordeiro	2014	Springer International Publishing
Improved Unsupervised Anomaly Detection Algorithm	Na Luo; Fuyu Yuan; Wanli Zuo; Fengling He; Zhiguo Zhou	Rough Sets and Knowledge Technology: Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings	Guoyin Wang; Tianrui Li; Jerzy W. Grzymala-Busse; Duoqian Miao; Yiyu Y. Yao	2008	Springer Berlin Heidelberg
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