Abstract
A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach for the automated analysis of state-of-The-Art deep submicron IC chips.
| Original language | English |
|---|---|
| Article number | 8574979 |
| Pages (from-to) | 36-43 |
| Number of pages | 8 |
| Journal | IEEE Intelligent Systems |
| Volume | 34 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2019 Mar 1 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Artificial Intelligence
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A Hierarchical Multiclassifier System for Automated Analysis of Delayered IC Images. / Cheng, Deruo; Shi, Yiqiong; Gwee, Bah Hwee; Toh, Kar Ann; Lin, Tong.
In: IEEE Intelligent Systems, Vol. 34, No. 2, 8574979, 01.03.2019, p. 36-43.Research output: Contribution to journal › Article
TY - JOUR
T1 - A Hierarchical Multiclassifier System for Automated Analysis of Delayered IC Images
AU - Cheng, Deruo
AU - Shi, Yiqiong
AU - Gwee, Bah Hwee
AU - Toh, Kar Ann
AU - Lin, Tong
PY - 2019/3/1
Y1 - 2019/3/1
N2 - A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach for the automated analysis of state-of-The-Art deep submicron IC chips.
AB - A robust and accurate machine learning based hierarchical multiclassifier system is proposed to automate the retrieval of interconnection information from delayered integrated circuits images. The proposed system replaces labor-intensive manual annotation process and provides an effective approach for the automated analysis of state-of-The-Art deep submicron IC chips.
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UR - http://www.scopus.com/inward/citedby.url?scp=85058663657&partnerID=8YFLogxK
U2 - 10.1109/MIS.2018.2886669
DO - 10.1109/MIS.2018.2886669
M3 - Article
AN - SCOPUS:85058663657
VL - 34
SP - 36
EP - 43
JO - IEEE Intelligent Systems
JF - IEEE Intelligent Systems
SN - 1541-1672
IS - 2
M1 - 8574979
ER -