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Journal of Chemical Information and Modeling|November 24, 2011
Improved machine learning models for predicting selective compoundsXia Ning, Michael Walters, George Karypis, et al.
Ecotoxicology and Environmental Safety|December 23, 2018
Ambient PM2.5 causes lung injuries and coupled energy metabolic disorderXia Ning, Xiaotong Ji, Guangke Li, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|August 2, 2024
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR DataArpita Saha, Maggie Samaan, Bo Peng, et al.
Journal of Hazardous Materials|October 23, 2021
New insights into potential estrogen agonistic activity of triazole fungicides and coupled metabolic disturbanceYue Wang, Xia Ning, Guangke Li, et al.
IEEE Transactions on Knowledge and Data Engineering|April 24, 2023
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket RecommendationBo Peng, Zhiyun Ren, Srinivasan Parthasarathy, et al.
IEEE Transactions on Knowledge and Data Engineering|March 27, 2023
HAM: Hybrid Associations Models for Sequential RecommendationBo Peng, Zhiyun Ren, Srinivasan Parthasarathy, et al.
Nature Machine Intelligence|February 21, 2022
A Deep Generative Model for Molecule Optimization via One Fragment ModificationZiqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, et al.
Journal of Chemical Information and Modeling|July 29, 2025
log-RRIM: Yield Prediction via Local-to-Global Reaction Representation Learning and Interaction ModelingXiao Hu, Ziqi Chen, Daniel Adu-Ampratwum, et al.
Applications of Medical Artificial Intelligence. AMAI (Workshop) (4Th : 2024 : Taejon-Si, Korea)|April 9, 2026
Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression PredictionBenjamin Burns, Yuan Xue, Douglas W Scharre, et al.
Journal of Biomedical Informatics|December 11, 2020
Hybrid collaborative filtering methods for recommending search terms to cliniciansZhiyun Ren, Bo Peng, Titus K Schleyer, et al.
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