| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration | Mar 8, 2022 | Decision Makingreinforcement-learning | CodeCode Available | 1 | 5 |
| Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control Theory | Jun 1, 2020 | Decision MakingEpidemiology | CodeCode Available | 1 | 5 |
| Cryptocurrency Portfolio Management with Deep Reinforcement Learning | Dec 5, 2016 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability | Sep 11, 2021 | Decision MakingInformation Retrieval | CodeCode Available | 1 | 5 |
| CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators | Feb 26, 2025 | Decision Making | CodeCode Available | 1 | 5 |
| COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images | Sep 8, 2020 | Decision Making | CodeCode Available | 1 | 5 |
| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Data-Driven Sample Average Approximation with Covariate Information | Jul 27, 2022 | Decision MakingPrediction | CodeCode Available | 1 | 5 |
| Counterfactual Explanations in Sequential Decision Making Under Uncertainty | Jul 6, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
