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Da Shi
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2020 – today
- 2024
- [j6]Da Shi, Ghulam Farid, Bakri Adam Ibrahim Younis, Hanaa H. Abu-Zinadah, Matloob Anwar:
A Unified Representation of q- and h-Integrals and Consequences in Inequalities. Axioms 13(4): 278 (2024) - [j5]Nadia Aslam, Da Shi, Umar Farooq Sahibzada:
Combating green innovation in Italian luxury hotels: combination of social cognitive theory and natural resource-based view. Bus. Process. Manag. J. 30(4): 1185-1212 (2024) - 2023
- [j4]Yuqi Zhang, Márton Vass, Da Shi, Esam Abualrous, Jennifer M. Chambers, Nikita Chopra, Christopher Higgs, Koushik Kasavajhala, Hubert Li, Prajwal Nandekar, Hideyuki Sato, Edward B. Miller, Matthew P. Repasky, Steven V. Jerome:
Benchmarking Refined and Unrefined AlphaFold2 Structures for Hit Discovery. J. Chem. Inf. Model. 63(6): 1656-1667 (2023) - [c6]Da Shi, Jingsheng Gao, Ting Liu, Yuzhuo Fu:
DynaSlim: Dynamic Slimming for Vision Transformers. ICME 2023: 1451-1456 - 2022
- [j3]Sara Brin Rosenthal, Hao Wang, Da Shi, Cin Liu, Ruben Abagyan, Linda K. McEvoy, Chi-Hua Chen:
Mapping the gene network landscape of Alzheimer's disease through integrating genomics and transcriptomics. PLoS Comput. Biol. 18(2) (2022) - [i1]Ya Ju Fan, Jonathan E. Allen, Kevin S. McLoughlin, Da Shi, Brian J. Bennion, Xiaohua Zhang, Felice C. Lightstone:
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery. CoRR abs/2210.17043 (2022) - 2021
- [c5]Da Shi, Xi Yu, Lei Mou, Junxiao Gui:
Research on the Unified Capability Structure System of Software Engineering Undergraduate Talents. ACCC 2021: 15-25 - 2020
- [b1]Da Shi:
Multi-target pharmacology of small molecule drugs and first-in-class inhibitors discovery. University of California, San Diego, USA, 2020
2010 – 2019
- 2019
- [j2]Da Shi, Feroz Khan, Ruben Abagyan:
Extended Multitarget Pharmacology of Anticancer Drugs. J. Chem. Inf. Model. 59(6): 3006-3017 (2019) - 2012
- [j1]Shun Li, Da Shi, Shaohua Tan:
Financial Data Modeling using a Hybrid Bayesian Network Structured Learning Algorithm. Int. J. Cogn. Informatics Nat. Intell. 6(1): 48-71 (2012) - 2010
- [c4]Da Shi, Shaohua Tan:
Hybrid incremental learning algorithms for bayesian network structures. IEEE ICCI 2010: 345-352 - [c3]Da Shi, Shaohua Tan:
Incremental learning Bayesian network structures efficiently. ICARCV 2010: 1719-1724 - [c2]Da Shi:
The Measurement of the CSI of e-learning Courseware. ICEE 2010: 5586-5589
2000 – 2009
- 2007
- [c1]Da Shi, Shaohua Tan:
Incremental Learning Bayesian Networks for Financial Data Modeling. ISIC 2007: 41-46
Coauthor Index
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