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Decision Making

Papers

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Showing 9951–10000 of 12311 papers

TitleStatusHype
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation—0
DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network—0
Adversarial Attacks on Probabilistic Autoregressive Forecasting ModelsCode1
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System—0
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction—0
Online Residential Demand Response via Contextual Multi-Armed Bandits—0
Scalable Approximate Inference and Some Applications—0
Reinforcement Learning for Combinatorial Optimization: A Survey—0
Causal Interaction Trees: Tree-Based Subgroup Identification for Observational DataCode0
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option—0
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Generating Embroidery Patterns Using Image-to-Image Translation—0
Distributional Robustness and Regularization in Reinforcement Learning—0
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making—0
Exploration-Exploitation in Constrained MDPs—0
Differentiable Causal Backdoor DiscoveryCode0
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits—0
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?Code1
Evidence-based explanation to promote fairness in AI systems—0
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning—0
Predictive Coding for Locally-Linear ControlCode1
An Information-Theoretic Approach to Personalized Explainable Machine Learning—0
Decision Trees for Decision-Making under the Predict-then-Optimize FrameworkCode1
Tightly Robust Optimization via Empirical Domain Reduction—0
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control—0
Demonstrating Rosa: the fairness solution for any Data Analytic pipeline—0
Human-like Planning for Reaching in Cluttered EnvironmentsCode1
Causality and Robust Optimization—0
Reinforcement Learning through Active Inference—0
Testing Monotonicity of Machine Learning Models—0
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation—0
Reinforcement Learning of Risk-Constrained Policies in Markov Decision ProcessesCode0
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs—0
Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment—0
Type-2 Fuzzy Set based Hesitant Fuzzy Linguistic Term Sets for Linguistic Decision Making—0
The Emerging Landscape of Explainable AI Planning and Decision Making—0
DeBayes: a Bayesian Method for Debiasing Network EmbeddingsCode0
NestedVAE: Isolating Common Factors via Weak Supervision—0
Information Directed Sampling for Linear Partial Monitoring—0
TanksWorld: A Multi-Agent Environment for AI Safety ResearchCode0
Technical report: Kidney tumor segmentation using a 2D U-Net followed by a statistical post-processing filter—0
Performance-based Post-earthquake Decision-making for Instrumented Buildings—0
Causal Strategic Linear Regression—0
Discriminative Particle Filter Reinforcement Learning for Complex Partial ObservationsCode1
HarDNN: Feature Map Vulnerability Evaluation in CNNs—0
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter SentimentsCode1
Online Batch Decision-Making with High-Dimensional Covariates—0
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified