no code implementations • 30 Sep 2022 • Yiwen Liao, Raphaël Latty, Bin Yang
Post-silicon validation is one of the most critical processes in modern semiconductor manufacturing.
no code implementations • 25 Sep 2022 • Yiwen Liao, Jochen Rivoir, Raphaël Latty, Bin Yang
However, most existing feature selection approaches, especially deep-learning-based, often focus on the features with great importance scores only but neglect those with less importance scores during training as well as the order of important candidate features.
no code implementations • 1 Jul 2022 • Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir
In this sense, an more efficient tuning requires identifying the most critical tuning knobs and process parameters in terms of a given figure-of-merit for a Device Under Test (DUT).
no code implementations • 1 Jul 2022 • Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang
Intelligent test requires efficient and effective analysis of high-dimensional data in a large scale.
no code implementations • 8 Mar 2021 • Yiwen Liao, Alexander Bartler, Bin Yang
Experiments on both benchmark and real-world datasets have shown the effectiveness and superiority of SWAD.
no code implementations • 26 Oct 2020 • Yiwen Liao, Raphaël Latty, Bin Yang
Feature selection is generally used as one of the most important preprocessing techniques in machine learning, as it helps to reduce the dimensionality of data and assists researchers and practitioners in understanding data.
no code implementations • 12 Mar 2019 • Patrick Schlachter, Yiwen Liao, Bin Yang
This enables to model the abnormal classes by atypical normal samples.
no code implementations • 4 Feb 2019 • Patrick Schlachter, Yiwen Liao, Bin Yang
In one-class classification, only samples of one normal class are available for training.
no code implementations • 20 Dec 2018 • Patrick Schlachter, Yiwen Liao, Bin Yang
This paper proposes a novel generic one-class feature learning method based on intra-class splitting.