Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data

10.1186/s13321-017-0226-y

Saved in:

Bibliographic Details
Main Authors:	Koutsoukas, A, Monaghan, K.J, Li, X, Huan, J
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	2020
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/179481
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-179481
record_format	dspace
spelling	sg-nus-scholar.10635-1794812024-04-25T06:34:10Z Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data Koutsoukas, A Monaghan, K.J Li, X Huan, J DEPARTMENT OF COMPUTER SCIENCE 10.1186/s13321-017-0226-y Journal of Cheminformatics 9 1 42 2020-10-23T04:43:58Z 2020-10-23T04:43:58Z 2017 Article Koutsoukas, A, Monaghan, K.J, Li, X, Huan, J (2017). Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. Journal of Cheminformatics 9 (1) : 42. ScholarBank@NUS Repository. https://doi.org/10.1186/s13321-017-0226-y 17582946 https://scholarbank.nus.edu.sg/handle/10635/179481 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1186/s13321-017-0226-y
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Koutsoukas, A Monaghan, K.J Li, X Huan, J
format	Article
author	Koutsoukas, A Monaghan, K.J Li, X Huan, J
spellingShingle	Koutsoukas, A Monaghan, K.J Li, X Huan, J Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
author_sort	Koutsoukas, A
title	Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
title_short	Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
title_full	Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
title_fullStr	Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
title_full_unstemmed	Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
title_sort	deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/179481
_version_	1800914552382029824

Deep-learning: Investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data

Similar Items