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The importance of uncertainty quantification is increasingly recognized in the diverse field of machine learning.
An optimum character recognition system using decision functions
Chi-Keung Chow · 1957
Earlier work this paper cites.
On optimum recognition error and reject tradeoff
C Chow · 1970
Earlier work this paper cites.
Probability of error, equivocation, and the chernoff bound
Martin Hellman and Josef Raviv · 1970
Earlier work this paper cites.
The nearest neighbor classification rule with a reject option
Martin E Hellman · 1970
Earlier work this paper cites.
Clinical trial methodology
Richard Peto · 1978
Earlier work this paper cites.
Inductive confidence machines for regression
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman · 2002
Earlier work this paper cites.
Blood-brain barrier permeation models: discriminating between potential cns and non-cns drugs including p-glycoprotein substrates
Marc Adenot and Roger Lahana · 2004
Earlier work this paper cites.
On-line compression modeling i: conformal prediction
Vladimir Vovk, Alexander Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Classification with a reject option using a hinge loss
Peter L Bartlett and Marten H Wegkamp · 2008
Earlier work this paper cites.
Prediction models of human plasma protein binding rate and oral bioavailability derived by using ga–cg–svm method
Chang-Ying Ma, Sheng-Yong Yang, Hui Zhang, Ming-Li Xiang, Qi Huang, and Yu-Quan Wei · 2008
Earlier work this paper cites.
The importance of good clinical practice guidelines and its role in clinical trials
Anushya Vijayananthan and Ouzreiah Nawawi · 2008
Earlier work this paper cites.
Comprehensive characterization of cytochrome p450 isozyme selectivity across chemical libraries
Henrike Veith, Noel Southall, Ruili Huang, Tim James, Darren Fayne, Natalia Artemenko, Min Shen, James Inglese, Christopher P Austin, David G Lloyd, et al · 2009
Earlier work this paper cites.
On the foundations of noise-free selective classification
Ran El-Yaniv et al · 2010
Earlier work this paper cites.
4 ways to fix the clinical trial: clinical trials are crumbling under modern economic and scientific pressures. nature looks at ways they might be saved
Heidi Ledford · 2011
Earlier work this paper cites.
e-drug3d: 3d structure collections dedicated to drug repurposing and fragment-based drug design
Emilie Pihan, Lionel Colliandre, Jean-François Guichou, and Dominique Douguet · 2012
Earlier work this paper cites.
Clinical development success rates for investigational drugs
Michael Hay, David W Thomas, John L Craighead, Celia Economides, and Jesse Rosenthal · 2014
Earlier work this paper cites.
Fundamentals of clinical trials
Lawrence M Friedman, Curt D Furberg, David L DeMets, David M Reboussin, and Christopher B Granger · 2015
Earlier work this paper cites.
Training very deep networks
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber · 2015
Earlier work this paper cites.
Welcome to ICD-10 code for sarcopenia
Stefan D Anker, John E Morley, and Stephan von Haehling · 2016
Earlier work this paper cites.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
Earlier work this paper cites.
Modeling admet
Jayeeta Ghosh et al · 2016
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Unanimous prediction for 100% precision with application to learning semantic mappings
Fereshte Khani, Martin Rinard, and Percy Liang · 2016
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Toxcast chemical landscape: paving the road to 21st century toxicology
Ann M Richard, Richard S Judson, Keith A Houck, Christopher M Grulke, Patra Volarath, Inthirany Thillainadarajah, Chihae Yang, James Rathman, Matthew T Martin, John F Wambaugh, et al · 2016
Cited alongside, same era.
GRAM: graph-based attention model for healthcare representation learning
Edward Choi et al · 2017
Cited alongside, same era.
Selective classification for deep neural networks
Yonatan Geifman and Ran El-Yaniv · 2017
Cited alongside, same era.
Simple and scalable predictive uncertainty estimation using deep ensembles
Consistent estimators for learning to defer to an expert
Hussein Mozannar and David Sontag · 2020
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Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial
Pranav Rajpurkar et al · 2020
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CORE: Automatic molecule optimization using copy and refine strategy
Cao Xiao and Jimeng Sun · 2020
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Data-driven detection of subtype-specific differentially expressed genes
Lulu Chen, Chiung-Ting Wu, Robert Clarke, Guoqiang Yu, Jennifer E Van Eyk, David M Herrington, and Yue Wang · 2021
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Differentiable scaffolding tree for molecular optimization
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W Coley, and Jimeng Sun · 2021
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Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017
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How much do clinical trials cost?
Linda Martin, Melissa Hutchens, Conrad Hawkins, and Alaina Radnov · 2017
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Estimated costs of pivotal trials for novel therapeutic agents approved by the us food and drug administration
Thomas J Moore, Hanzhe Zhang, Gerard Anderson, and G Caleb Alexander · 2018
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Drugbank 5.0: a major update to the drugbank database for 2018
David S Wishart, Yannick D Feunang, An C Guo, Elvis J Lo, Ana Marcu, Jason R Grant, Tanvir Sajed, Daniel Johnson, Carin Li, Zinat Sayeeda, et al · 2018
Cited alongside, same era.
Enhance wound healing monitoring through a thermal imaging based smartphone app
Steven Yi, Minta Lu, Adam Yee, John Harmon, Frank Meng, and Saurabh Hinduja · 2018
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End-to-end convolutional semantic embeddings
Quanzeng You, Zhengyou Zhang, and Jiebo Luo · 2018
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Publicly available clinical BERT embeddings
Emily Alsentzer et al · 2019
Cited alongside, same era.
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MIMOSA: Multi-constraint molecule sampling for molecule optimization
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M Glass, and Jimeng Sun · 2021
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Clinical trials market size, share & trends analysis report by phase (phase i, phase ii, phase iii, phase iv), by study design (interventional, observational, expanded access), by indication, by region, and segment forecasts 2021–2028, 2021
Grand View Research · 2021
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DDN2.0: R and python packages for differential dependency network analysis of biological systems
Bai Zhang, Yi Fu, Yingzhou Lu, Zhen Zhang, Robert Clarke, Jennifer E Van Eyk, David M Herrington, and Yue Wang · 2021
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Antibody complementarity determining regions (cdrs) design using constrained energy model
Tianfan Fu and Jimeng Sun · 2022
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Hint: Hierarchical interaction network for clinical-trial-outcome predictions
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M Glass, and Jimeng Sun · 2022
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Cot: an efficient and accurate method for detecting marker genes among many subtypes
Yingzhou Lu, Chiung-Ting Wu, Sarah J Parker, Zuolin Cheng, Georgia Saylor, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, and Yue Wang · 2022
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Artificial intelligence for in silico clinical trials: A review
Zifeng Wang, Chufan Gao, Lucas M Glass, and Jimeng Sun · 2022
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Cosbin: cosine score-based iterative normalization of biologically diverse samples
Chiung-Ting Wu, Minjie Shen, Dongping Du, Zuolin Cheng, Sarah J Parker, Yingzhou Lu, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, et al · 2022
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Abds: tool suite for analyzing biologically diverse samples
Dongping Du, Saurabh Bhardwaj, Sarah J Parker, Zuolin Cheng, Zhen Zhang, Yingzhou Lu, Jennifer E Van Eyk, Guoqiang Yu, Robert Clarke, David M Herrington, et al · 2023
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Automated prediction of clinical trial outcome, February 2 2023
Tianfan Fu, Kexin Huang, and Jimeng Sun · 2023
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Machine learning for synthetic data generation: a review
Yingzhou Lu, Huazheng Wang, and Wenqi Wei · 2023
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Machine learning enabled bioinformatics tools for analysis of biologically diverse samples
Yingzhou Lu · 2023
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Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoge Zhang, and Chao Hu · 2023
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Twin-gpt: Digital twins for clinical trials via large language model
Yue Wang, Yingzhou Lu, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Honghao Gao, and Jian Wu · 2024
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