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| A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks | Mar 29, 2025 | Decision MakingMulti-hop Question Answering | —Unverified | 0 |
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| A Deep Reinforcement Learning Approach for Online Parcel Assignment | Sep 8, 2021 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems | Aug 9, 2022 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| A Model-Based, Decision-Theoretic Perspective on Automated Cyber Response | Feb 20, 2020 | Decision Making | —Unverified | 0 |
| A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models | May 1, 2023 | Decision MakingTime Series | —Unverified | 0 |
| A Model-Based Approach to Imitation Learning through Multi-Step Predictions | Apr 18, 2025 | Decision MakingImitation Learning | —Unverified | 0 |
| A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models | Sep 19, 2022 | Decision Making | —Unverified | 0 |
| A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging | Mar 1, 2023 | COVID-19 DiagnosisDecision Making | —Unverified | 0 |
