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1 . Academic Journal
Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data
저자
by
Andrea Morger
;
Marina Garcia de Lomana
;
Ulf Norinder
;
Fredrik Svensson
;
Johannes Kirchmair
, et al.
소스
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
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7 . Academic Journal
hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques
저자
by
Erik Ylipää
;
Swapnil Chavan
;
Maria Bånkestad
;
Johan Broberg
;
Björn Glinghammar
, et al.
소스
Current Research in Toxicology, Vol 5, Iss , Pp 100121- (2023)
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7 . Academic Journal
Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning
저자
by
Ulf Norinder
;
Ola Spjuth
;
Fredrik Svensson
.
소스
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-11 (2021)
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5 . Academic Journal
Assessing the calibration in toxicological in vitro models with conformal prediction
저자
by
Andrea Morger
;
Fredrik Svensson
;
Staffan Arvidsson McShane
;
Niharika Gauraha
;
Ulf Norinder
, et al.
소스
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
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7 . Academic Journal
Traditional Machine and Deep Learning for Predicting Toxicity Endpoints
저자
by
Ulf Norinder
.
소스
Molecules, Vol 28, Iss 1, p 217 (2022)
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3 . Academic Journal
Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery
저자
by
Francesco Gentile
;
Vibudh Agrawal
;
Michael Hsing
;
Anh-Tien Ton
;
Fuqiang Ban
, et al.
소스
ACS Central Science, Vol 6, Iss 6, Pp 939-949 (2020)
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7 . Academic Journal
Evaluating parameters for ligand-based modeling with random forest on sparse data sets
저자
by
Alexander Kensert
;
Jonathan Alvarsson
;
Ulf Norinder
;
Ola Spjuth
.
소스
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-10 (2018)
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6 . Academic Journal
Existing highly accumulating lysosomotropic drugs with potential for repurposing to target COVID-19
저자
by
Ulf Norinder
;
Astrud Tuck
;
Kalle Norgren
;
Vesna Munic Kos
.
소스
Biomedicine & Pharmacotherapy, Vol 130, Iss , Pp 110582- (2020)
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6 . Academic Journal
Maximizing gain in high-throughput screening using conformal prediction
저자
by
Fredrik Svensson
;
Avid M. Afzal
;
Ulf Norinder
;
Andreas Bender
.
소스
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-10 (2018)
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6 . Academic Journal
Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors
저자
by
Anke Wilm
;
Marina Garcia de Lomana
;
Conrad Stork
;
Neann Mathai
;
Steffen Hirte
, et al.
소스
Pharmaceuticals, Vol 14, Iss 8, p 790 (2021)
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