"Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection"

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Book	Author(s)	Year	Publisher
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection	Mehdi Roopaei; Paul Rad	2018	Routledge
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
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
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Applied Semantic Web Technologies	Vijayan Sugumaran; Jon Atle Gulla	2011	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
Applied Pattern Recognition	Horst Bunke; Abraham Kandel; Mark Last	2008	Springer Berlin Heidelberg
Applied Pattern Recognition	Horst Bunke, Abraham Kandel, Mark Last (Eds.)	2010	Springer
Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
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
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python	Umberto Michelucci	2nd ed.	Apress
Computer Vision: Detection, Recognition and Reconstruction	Roberto Cipolla; Sebastiano Battiato; Giovanni Maria Farinella	2010	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Anomaly Detection In Cloud Networks		Security of cloud-based systems	Jovan Pehcevski	2021	Arcler Press
Deep vs. Shallow Semantic Analysis Applied to Textual Entailment Recognition	Óscar Ferrández; Rafael Muñoz Terol; Rafael Muñoz; Patricio Martínez-Barco; Manuel Palomar	Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings	Tapio Salakoski; Filip Ginter; Sampo Pyysalo; Tapio Pahikkala	2006	Springer Berlin Heidelberg
Anomaly detection using deep auto-encoders		Python Deep Learning	Valentino Zocca; Gianmario Spacagna; Daniel Slater; Peter Roelants	2017	Packt Publishing - ebooks Account
Robust, Deep and Inductive Anomaly Detection	Raghavendra Chalapathy; Aditya Krishna Menon; Sanjay Chawla	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I	Michelangelo Ceci; Jaakko Hollmén; Ljupčo Todorovski; Celine Vens; Sašo Džeroski	1st ed. 2017	Springer International Publishing
Anomaly Detection of Cloud Network Resource State Based on Deep Learning	Junjie Shi; Fenggang Lai; Weiliang Li; Huaiyu Wang; Xiaoliang Zhang; Yan Li	Big Data and Security: Third International Conference, ICBDS 2021, Shenzhen, China, November 26–28, 2021, Proceedings	Yuan Tian; Tinghuai Ma; Muhammad Khurram Khan; Victor S. Sheng; Zhaoqing Pan	1st ed. 2022	Springer Nature Singapore
Action Recognition for Anomaly Detection Using Transfer Learning and Deep Architectures	Francisco Luque Sánchez; Siham Tabik; Francisco Herrera	Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020	Luigi Troiano; Alfredo Vaccaro; Roberto Tagliaferri; Nishtha Kesswani; Irene Díaz Rodriguez; Imene Brigui; Domenico Parente	1st ed. 2022	Springer International Publishing
Privacy-Aware Anomaly Detection Using Semantic Segmentation	Michael Bidstrup; Jacob V. Dueholm; Kamal Nasrollahi; Thomas B. Moeslund	Advances in Visual Computing: 16th International Symposium, ISVC 2021, Virtual Event, October 4-6, 2021, Proceedings, Part II	George Bebis; Vassilis Athitsos; Tong Yan; Manfred Lau; Frederick Li; Conglei Shi; Xiaoru Yuan; Christos Mousas; Gerd Bruder	1st ed. 2021	Springer International Publishing
Anomaly Detection	Ton J. Cleophas; Aeilko H. Zwinderman	Machine Learning in Medicine: Part Two	Ton J. Cleophas; Aeilko H. Zwinderman	2013	Springer Netherlands
Anomaly Detection		Encyclopedia of GIS	Shashi Shekhar; Hui Xiong; Xun Zhou	2nd ed. 2017	Springer International Publishing
Anomaly Detection		Encyclopedia of Parallel Computing	David Padua	2011	Springer US
Anomaly Detection	Shashi Shekhar; Hui Xiong	Encyclopedia of GIS	Shashi Shekhar; Hui Xiong	2008	Springer US
Anomaly Detection	Markus Goldstein	RapidMiner: Data Mining Use Cases and Business Analytics Applications	Markus Hofmann; Ralf Klinkenberg	2013	Routledge
Anomaly Detection	Vineet Raina; Srinath Krishnamurthy	Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice	Vineet Raina; Srinath Krishnamurthy	1st ed.	Apress
Anomaly Detection	Feras A. Batarseh	Encyclopedia of Big Data	Laurie A. Schintler; Connie L. McNeely	1st ed. 2022	Springer International Publishing
Anomaly Detection	Elisa Bertino	Data Protection from Insider Threats	Elisa Bertino		Springer International Publishing
Anomaly Detection	Vijay Kotu; Bala Deshpande	Data Science (Second Edition)	Bala Deshpande andVijay Kotu	2019	Morgan Kaufmann
Anomaly Detection	Vijay Kotu; Bala Deshpande	Predictive Analytics and Data Mining	Vijay Kotu and Bala Deshpande	2015	Morgan Kaufmann
Anomaly Detection	Rikard Laxhammar	Conformal Prediction for Reliable Machine Learning	Vineeth Balasubramanian; Shen-Shyang Ho and Vladimir Vovk	2014	Morgan Kaufmann
Anomaly detection	Patrick Schneider; Fatos Xhafa	Anomaly Detection and Complex Event Processing over IoT Data Streams	Fatos Xhafa and Patrick Schneider	2022	Academic Press
Anomaly detection		Machine learning and security: protecting systems with data and algorithms	Chio, Clarence; Freeman, David	2018	O'Reilly Media
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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