"Denoising Architecture for Unsupervised Anomaly Detection in 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
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
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection	Chein-I Chang	1st ed. 2016	Springer New York
New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
empirical comparison of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots	Bojan Jakimovski	2011	Springer Berlin Heidelberg
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection	Mehdi Roopaei; Paul Rad	2018	Routledge
A program to compute magnetic anomaly detection probabilities	R. N. Forrest	1990	Naval Postgraduate School;Available from National Technical Information Service
A program to compute electric anomaly detection probabilities	R. N. Forrest	1988	Naval Postgraduate School;Available from National Technical Information Service
Similarity counting architecture for object detection	Chin-Hwa Lee	1986	Naval Postgraduate School
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 as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
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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
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
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
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 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
Anomaly detection in time series data		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
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
22 Anomaly Detection for Time-series Data		Machine Learning and Probabilistic Graphical Models for Decision Support Systems	Kim Phuc Tran	2022	CRC Press
Time Series Analysis for Temporal Anomaly Detection	Florian Skopik; Markus Wurzenberger; Max Landauer	Smart Log Data Analytics: Techniques for Advanced Security Analysis	Florian Skopik; Markus Wurzenberger; Max Landauer	1st ed. 2021	Springer International Publishing
Using unsupervised ML for anomaly detection		Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Ensemble Algorithms for Unsupervised Anomaly Detection	Zhiruo Zhao; Kishan G. Mehrotra; Chilukuri K. Mohan	Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings	Moonis Ali; Young Sig Kwon; Chang-Hwan Lee; Juntae Kim; Yongdai Kim	2015	Springer International Publishing
An Architecture for Anomaly Detection	Daniel Barbará; Julia Couto; Sushil Jajodia; Ningning Wu	Applications of Data Mining in Computer Security	Daniel Barbará; Sushil Jajodia	2002	Springer US
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
RePAD: Real-Time Proactive Anomaly Detection for Time Series	Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran	Advanced Information Networking and Applications: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020)	Leonard Barolli; Flora Amato; Francesco Moscato; Tomoya Enokido; Makoto Takizawa	1st ed. 2020	Springer International Publishing
Automatic Classification Rules for Anomaly Detection in Time-Series	Ines Ben Kraiem; Faiza Ghozzi; Andre Peninou; Geoffrey Roman-Jimenez; Olivier Teste	Research Challenges in Information Science: 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings	Fabiano Dalpiaz; Jelena Zdravkovic; Pericles Loucopoulos	1st ed. 2020	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
Unsupervised 3D Brain Anomaly Detection	Jaime Simarro Viana; Ezequiel de la Rosa; Thijs Vande Vyvere; David Robben; Diana M. Sima; CENTER-TBI Participants and Investigators	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Part I	Alessandro Crimi; Spyridon Bakas	1st ed. 2021	Springer International Publishing
Improving iForest for Hydrological Time Series Anomaly Detection	Pengpeng Shao; Feng Ye; Zihao Liu; Xiwen Wang; Ming Lu; Yupeng Mao	Algorithms and Architectures for Parallel Processing: 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part III	Meikang Qiu	1st ed. 2020	Springer International Publishing
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Showing 1 to 20 of 100 entries

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