Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition.
Technometrics, 2024
Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease.
IEEE J. Biomed. Health Informatics, July, 2023
An Automatic Derivation Method for Creation of Complex Map Symbols in a Topographic Map.
ISPRS Int. J. Geo Inf., 2023
Derivative based global sensitivity analysis and its entropic link.
CoRR, 2023
Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD).
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A general framework for probabilistic sensitivity analysis with respect to distribution parameters.
CoRR, 2022
An information upper bound for probability sensitivity.
CoRR, 2022
Deep learning identifies explainable reasoning paths of mechanism of action for drug repurposing from multilayer biological network.
Briefings Bioinform., 2022
An online advertising intervention to increase adherence to stay-at-home-orders during the COVID-19 pandemic: An efficacy trial monitoring individual-level mobility data.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Erratum to: GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
J. Am. Medical Informatics Assoc., 2021
GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
J. Am. Medical Informatics Assoc., 2021
Real-Time Facial Expression Recognition Based on Edge Computing.
IEEE Access, 2021
Attention-based Hierarchical Convolution Neural Network for Fine-grained Crop Image Classification.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
Facial Expression Recognition Based on Facial Action Unit.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019
Personalized graph pattern matching via limited simulation.
Knowl. Based Syst., 2018
Tractable queries on big data via preprocessing with logarithmic-size output.
Knowl. Inf. Syst., 2018
Differential privacy in probabilistic systems.
Inf. Comput., 2017
Making problems tractable on big data via preprocessing with polylog-size output.
CoRR, 2015