Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/glvlsi/GaryfallouVAMS22
%A Garyfallou, Dimitrios
%A Vagenas, Anastasis
%A Antoniadis, Charalampos
%A Massoud, Yehia
%A Stamoulis, George I.
%B ACM Great Lakes Symposium on VLSI
%D 2022
%E Savidis, Ioannis
%E Sasan, Avesta
%E Thapliyal, Himanshu
%E DeMara, Ronald F.
%I ACM
%K dblp
%P 77-83
%T Leveraging Machine Learning for Gate-level Timing Estimation Using Current Source Models and Effective Capacitance.
%U http://dblp.uni-trier.de/db/conf/glvlsi/glvlsi2022.html#GaryfallouVAMS22
%@ 978-1-4503-9322-5
@inproceedings{conf/glvlsi/GaryfallouVAMS22,
added-at = {2023-03-21T00:00:00.000+0100},
author = {Garyfallou, Dimitrios and Vagenas, Anastasis and Antoniadis, Charalampos and Massoud, Yehia and Stamoulis, George I.},
biburl = {https://www.bibsonomy.org/bibtex/242c2b531ced0a8ceadfbd2ce8c3d7c23/dblp},
booktitle = {ACM Great Lakes Symposium on VLSI},
crossref = {conf/glvlsi/2022},
editor = {Savidis, Ioannis and Sasan, Avesta and Thapliyal, Himanshu and DeMara, Ronald F.},
ee = {https://doi.org/10.1145/3526241.3530343},
interhash = {f5f55340bfcc6b8ded88f19f1ecca4d9},
intrahash = {42c2b531ced0a8ceadfbd2ce8c3d7c23},
isbn = {978-1-4503-9322-5},
keywords = {dblp},
pages = {77-83},
publisher = {ACM},
timestamp = {2024-04-09T22:51:33.000+0200},
title = {Leveraging Machine Learning for Gate-level Timing Estimation Using Current Source Models and Effective Capacitance.},
url = {http://dblp.uni-trier.de/db/conf/glvlsi/glvlsi2022.html#GaryfallouVAMS22},
year = 2022
}