Complexity-Reduced Variational Auto Encoders With Bayesian Optimization for Anomaly Detection in High-Dimensional Medical Data
Author:
Affiliation:
1. Chandigarh University,Department of CSE,Mohali,India
2. Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth,Karad,India
3. Chitkara University,Department of Applied Sciences,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489736.pdf?arnumber=10489736
Reference19 articles.
1. An IoT and Fuzzy aware e-Healthcare system using feature optimization tuned T-CNN with high dimensional data
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3. Optimizing Irrigation Efficiency with IoT and Machine Learning: A Transfer Learning Approach for Accurate Soil Moisture Prediction
4. Controlled variable selection in Weibull mixture cure models for high‐dimensional data
5. Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID-19 Identification in Chest X-Ray Images
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