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09/30/2022
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning
Post-silicon validation is one of the most critical processes in modern ...
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09/25/2022
Deep Feature Selection Using a Novel Complementary Feature Mask
Feature selection has drawn much attention over the last decades in mach...
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07/01/2022
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning
In post-silicon validation, tuning is to find the values for the tuning ...
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07/01/2022
Conditional Variable Selection for Intelligent Test
Intelligent test requires efficient and effective analysis of high-dimen...
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03/08/2021
Anomaly Detection Based on Selection and Weighting in Latent Space
With the high requirements of automation in the era of Industry 4.0, ano...
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10/26/2020
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization
Feature selection is generally used as one of the most important pre-pro...
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03/12/2019
Open-Set Recognition Using Intra-Class Splitting
This paper proposes a method to use deep neural networks as end-to-end o...
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02/04/2019
Deep One-Class Classification Using Data Splitting
This paper introduces a generic method which enables to use conventional...
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12/20/2018