| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | 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 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 | 5 |
| Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Images | Aug 3, 2022 | Building Damage AssessmentChange Detection | CodeCode Available | 1 | 5 |
| Analyzing Fairness in Deepfake Detection With Massively Annotated Databases | Aug 11, 2022 | AttributeDecision Making | 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 |
| A Model-Driven Approach to Machine Learning and Software Modeling for the IoT | Jul 6, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights | Jun 18, 2021 | Decision Making | CodeCode Available | 1 | 5 |
| 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 |
| Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation | May 10, 2023 | Decision MakingGraph Neural Network | CodeCode Available | 1 | 5 |
