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Home > Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 2 > DeepConAD: Deep and Confidence Prediction for Unsupervised Anomaly Detection in Time Series
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 2 |
Kohei Arai; Supriya Kapoor; Rahul Bhatia
Springer International Publishing
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 2
DeepConAD: Deep and Confidence Prediction for Unsupervised Anomaly Detection in Time Series
Authors

Ahmad Idris Tambuwal; Aliyu Muhammad Bello

ARI Id

1665262349565_5614195

Access

Not Available Free

Pages

232-244

DOI

10.1007/978-3-030-52246-9_16

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-52246-9_16

Table of Contents of Book
Showing 1 to 20 of 53 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xi
Urban Mobility Swarms: A Scalable Implementation
Alex Berke; Jason Nawyn; Thomas Sanchez Lengeling; Kent Larson
1-18
Using AI Simulations to Dynamically Model Multi-agent Multi-team Energy Systems
D. Michael Franklin; Philip Irminger; Heather Buckberry; Mahabir Bhandari
19-32
Prediction of Cumulative Grade Point Average: A Case Study
Anan Sarah; Mohammed Iqbal Hossain Rabbi; Mahpara Sayema Siddiqua; Shipra Banik; Mahady Hasan
33-42
Warehouse Setup Problem in Logistics: A Truck Transportation Cost Model
Rohit Kumar Sachan; Dharmender Singh Kushwaha
43-62
WARDS: Modelling the Worth of Vision in MOBA’s
Alan Pedrassoli Chitayat; Athanasios Kokkinakis; Sagarika Patra; Simon Demediuk; Justus Robertson; Oluseji Olarewaju et al.
63-81
Decomposition Based Multi-objectives Evolutionary Algorithms Challenges and Circumvention
Sherin M. Omran; Wessam H. El-Behaidy; Aliaa A. A. Youssif
82-93
Learning the Satisfiability of Ł-clausal Forms
Mohamed El Halaby; Areeg Abdalla
94-102
A Teaching-Learning-Based Optimization with Modified Learning Phases for Continuous Optimization
Onn Ting Chong; Wei Hong Lim; Nor Ashidi Mat Isa; Koon Meng Ang; Sew Sun Tiang; Chun Kit Ang
103-124
Use of Artificial Intelligence and Machine Learning for Personalization Improvement in Developed e-Material Formatting Application
Kristine Mackare; Anita Jansone; Raivo Mackars
125-132
Probabilistic Inference Using Generators: The Statues Algorithm
Pierre Denis
133-154
A Q-Learning Based Maximum Power Point Tracking for PV Array Under Partial Shading Condition
Roy Chaoming Hsu; Wen-Yen Chen; Yu-Pi Lin
155-168
A Logic-Based Agent Modelling Paradigm for Investment in Derivatives Markets
Jonathan Waller; Tarun Goel
169-180
An Adaptive Genetic Algorithm Approach for Optimizing Feature Weights in Multimodal Clustering
Manar Hosny; Sawsan Al-Malak
181-197
Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm
Ammar S. Salman; Odai S. Salman; Garrett E. Katz
198-213
MESRS: Models Ensemble Speech Recognition System
Ben Zagagy; Maya Herman
214-231
DeepConAD: Deep and Confidence Prediction for Unsupervised Anomaly Detection in Time Series
Ahmad Idris Tambuwal; Aliyu Muhammad Bello
232-244
Reduced Order Modeling Assisted by Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability
Fabien Casenave; Nissrine Akkari; David Ryckelynck
245-263
Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows
Nissrine Akkari; Fabien Casenave; Marc-Eric Perrin; David Ryckelynck
264-276
Improving Gate Decision Making Rationality with Machine Learning
Mark van der Pas; Niels van der Pas
277-290
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 53 entries
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