"Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video"

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Book	Author(s)	Year	Publisher
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Machine Learning for Audio, Image and Video Analysis: Theory and Applications	Francesco Camastra; Alessandro Vinciarelli	2nd ed. 2015	Springer London
Machine Learning for Audio, Image and Video Analysis: Theory and Applications	Francesco Camastra; Alessandro Vinciarelli	2008	Springer London
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Digital video transition analysis and detection	Wei Jyh Heng	2002	World Scientific
Machine Learning Methods for Planning	Steven Minton	1993	Morgan Kaufmann
Statistical Methods for Machine Learning	Jason Brownlee	0
Machine learning methods for planning	Steven Minton	1993	M. Kaufmann
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
Methods of Analysis and Detection	Anne McCarthy	October 4, 2001	Cambridge University
Machine Learning in Python: for Predictive Analysis	Michael Bowles	2015	John Wiley & Sons
Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
Random Matrix Methods for Machine Learning	Romain Couillet; Zhenyu Liao	2022-07	Cambridge University Press
Moving Objects Detection Using Machine Learning	Navneet Ghedia; Chandresh Vithalani; Ashish M. Kothari; Rohit M. Thanki	1st ed. 2022	Springer International Publishing
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Kernel Methods and Machine Learning	S. Y. Kung	2014-04	Cambridge University Press
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning for Anomaly Detection	Sumeet Dua; Xian Du	Data Mining and Machine Learning in Cybersecurity	Sumeet Dua; Xian Du	2011	Routledge
Machine Learning: Anomaly Detection		Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things	Michael G. Pecht; Myeongsu Kang	2019	Wiley-IEEE Press
4 Machine Learning for Anomaly Detection		Security in Autonomous Driving	Obaid Ur-Rehman; Natasa Zivic	2020	De Gruyter Oldenbourg
Azure Machine Learning Time Series Analysis for Anomaly Detection		MSDN Magazine		2017
Video Anomaly Detection		Computer Vision and Imaging in Intelligent Transportation Systems	Robert P. Loce; Raja Bala; Mohan Trivedi	2017	Wiley-IEEE Press
Machine Learning Methods for Anomaly Detection in IoT Networks, with Illustrations	Vassia Bonandrini; Jean-François Bercher; Nawel Zangar	Machine Learning for Networking: Second IFIP TC 6 International Conference, MLN 2019, Paris, France, December 3–5, 2019, Revised Selected Papers	Selma Boumerdassi; Éric Renault; Paul Mühlethaler	1st ed. 2020	Springer International Publishing
9 - Machine learning for intrusion and anomaly detection		Network Security: A Decision and Game-Theoretic Approach	Tansu Alpcan; Tamer Başar	2010-10	Cambridge University Press
Combining Machine Learning and Semantics for Anomaly Detection	Badre Belabbess; Musab Bairat; Jeremy Lhez; Olivier Curé	Knowledge Engineering and Knowledge Management: 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings	Catherine Faron Zucker; Chiara Ghidini; Amedeo Napoli; Yannick Toussaint	1st ed. 2018	Springer International Publishing
Anomaly Detection in IoT Using Machine Learning	Saadat Hasan Khan; Aritro Roy Arko; Amitabha Chakrabarty	Artificial Intelligence for Cloud and Edge Computing	Sanjay Misra; Amit Kumar Tyagi; Vincenzo Piuri; Lalit Garg	1st ed. 2022	Springer International Publishing
Applications of Machine Learning in Anomaly Detection	Gadilli Sai Nikhil; Arun Sekar Rajasekaran; Madupathi Parimala; S. Velliangiri	Computational Intelligence in Machine Learning: Select Proceedings of ICCIML 2021	Amit Kumar; Jacek M. Zurada; Vinit Kumar Gunjan; Raman Balasubramanian	1st ed. 2022	Springer Nature Singapore
Leveraging Deep Learning for Anomaly Detection in Video Surveillance	K. Kavikuil; J. Amudha	First International Conference on Artificial Intelligence and Cognitive Computing: AICC 2018	Raju Surampudi Bapi; Koppula Srinivas Rao; Munaga V. N. K. Prasad	1st ed. 2019	Springer Nature Singapore
Anomaly detection using machine learning algorithms	Y. Pant; A. Cheema; B. Negi	Smart Computing: Proceedings of the 1st International Conference on Smart Machine Intelligence and Real-Time Computing (SmartCom 2020), 26-27 June 2020, Pauri, Garhwal, Uttarakhand, India	Mohammad Ayoub Khan; Sanjay Gairola; Bhola Jha; Pushkar Praveen	2021	Routledge
Chapter 11: Machine Learning Anomaly Detection		Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization	Stefanie Molin	2021	Packt Publishing
Machine Learning-Driven Algorithms for Network Anomaly Detection	Md. Sirajul Islam; Mohammad Abdur Rouf; A. H. M. Shahariar Parvez; Prajoy Podder	Inventive Computation and Information Technologies: Proceedings of ICICIT 2021	S. Smys; Valentina Emilia Balas; Ram Palanisamy	1st ed. 2022	Springer Nature Singapore
Anomaly Detection in Drones with Machine Learning Algorithms	Soumya Shaw; Kartik Joshi; Akhil Pathak; Abitha K. Thyagarajan; G. Vidya; Rahul Hemal Shah et al.	Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2020	A. Sivasubramanian; Prasad N. Shastry; Pua Chang Hong	1st ed. 2022	Springer Nature Singapore
Anomaly Detection in Cellular IoT with Machine Learning	Bernardo Santos; Imran Qayyrm Khan; Bruno Dzogovic; Boning Feng; Van Thuan Do; Niels Jacot et al.	Smart Objects and Technologies for Social Good: 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15–17, 2021, Proceedings	Ivan Miguel Pires; Susanna Spinsante; Eftim Zdravevski; Petre Lameski	1st ed. 2021	Springer International Publishing
Anomaly Detection in HTTP Requests Using Machine Learning	Ayush Gupta; Avani Modak	Machine Learning and Information Processing: Proceedings of ICMLIP 2020	Debabala Swain; Prasant Kumar Pattnaik; Tushar Athawale	1st ed. 2021	Springer Nature Singapore
Chapter 6: Malware and Anomaly Detection Using Machine Learning and Deep Learning Methods		Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Advances in Information Security, Privacy, and Ethics)	Padmavathi Ganapathi (editor), D. Shanmugapriya (editor)	2020	Information Science Reference
Learning approaches for anomaly detection		Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines	Kirill Kolodiazhnyi	2020	Packt Publishing
Video Anomaly Detection for Smart Surveillance	Sijie Zhu; Chen Chen; Waqas Sultani	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
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