| Disentangling Representations through Multi-task Learning | Jul 15, 2024 | Decision MakingMulti-Task Learning | —Unverified | 0 | 0 |
| QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction | Aug 6, 2024 | Decision MakingQ-Learning | —Unverified | 0 | 0 |
| Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning | Sep 16, 2024 | Collision AvoidanceDecision Making | —Unverified | 0 | 0 |
| Disfluent but effective? A quantitative study of disfluencies and conversational moves in team discourse | Dec 1, 2016 | Decision MakingSpoken Dialogue Systems | —Unverified | 0 | 0 |
| Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases | Dec 27, 2024 | Decision Making | —Unverified | 0 | 0 |
| Dispute resolution in legal mediation with quantitative argumentation | Sep 25, 2024 | Decision Making | —Unverified | 0 | 0 |
| Deep Learning for Conversational AI | Jun 1, 2018 | Decision MakingDeep Learning | —Unverified | 0 | 0 |
| Dissecting the Impact of Model Misspecification in Data-Driven Optimization | Mar 1, 2025 | Decision Making | —Unverified | 0 | 0 |
| Deep learning for affective computing: text-based emotion recognition in decision support | Mar 16, 2018 | Decision MakingEmotion Recognition | —Unverified | 0 | 0 |
| Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning | Nov 29, 2020 | Action GenerationDecision Making | —Unverified | 0 | 0 |
| Distilling Analysis from Generative Models for Investment Decisions | Oct 2, 2024 | Decision Making | —Unverified | 0 | 0 |
| Distilling Knowledge from Deep Networks with Applications to Healthcare Domain | Dec 11, 2015 | Computational PhenotypingDecision Making | —Unverified | 0 | 0 |
| Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records | Apr 5, 2019 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey | Aug 8, 2022 | Decision MakingText to SQL | —Unverified | 0 | 0 |
| A modular framework for object-based saccadic decisions in dynamic scenes | Jun 10, 2021 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences | Dec 24, 2021 | Decision MakingManagement | —Unverified | 0 | 0 |
| Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment | Jul 2, 2020 | Adversarial AttackAutonomous Driving | —Unverified | 0 | 0 |
| Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach | Feb 12, 2024 | Anomaly DetectionDecision Making | —Unverified | 0 | 0 |
| Distributed Bandits with Heterogeneous Agents | Jan 23, 2022 | Decision Making | —Unverified | 0 | 0 |
| Distributed Chernoff Test: Optimal decision systems over networks | Sep 12, 2018 | Decision MakingQuantization | —Unverified | 0 | 0 |
| Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization | May 23, 2021 | Decision Making | —Unverified | 0 | 0 |
| Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit | Jun 9, 2023 | Change Point DetectionDecision Making | —Unverified | 0 | 0 |
| Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers | Aug 29, 2022 | Decision MakingManagement | —Unverified | 0 | 0 |
| Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms | Jun 2, 2016 | Decision Making | —Unverified | 0 | 0 |
| Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning | Oct 7, 2024 | Data IntegrationDecision Making | —Unverified | 0 | 0 |