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Decision Making

Papers

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Showing 10101–10150 of 12311 papers

TitleStatusHype
Context-Aware Design of Cyber-Physical Human Systems (CPHS)—0
Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals:—0
On Consequentialism and Fairness—0
Restricting the Flow: Information Bottlenecks for AttributionCode1
Uniform Convergence of Rank-weighted Learning—0
Learning From Strategic Agents: Accuracy, Improvement, and Causality—0
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study—0
Global Decision-Making via Local Economic Transactions—0
Cost-effectively Identifying Causal Effect When Only Response Variable Observable—0
Kernel Methods for Cooperative Multi-Agent Learning with Delays—0
A general recurrent state space framework for modeling neural dynamics during decision-making—0
How to Solve Fair k-Center in Massive Data Models—0
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach—0
Influenza Forecasting Framework based on Gaussian Processes—0
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights and Algorithms—0
Robust Multi-Agent Decision-Making with Heavy-Tailed Payoffs—0
Reinforcement Learning with Differential Privacy—0
Transparency Promotion with Model-Agnostic Linear Competitors—0
Uniform Convergence of Rank-weighted Learning—0
SVQN: Sequential Variational Soft Q-Learning Networks—0
Modeling and Counteracting Exposure Bias in Recommender Systems—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Information Theoretic Model Predictive Q-Learning—0
Leveraging Semi-Supervised Learning for Fairness using Neural Networks—0
Learning from Learning Machines: Optimisation, Rules, and Social Norms—0
Value of structural health information in partially observable stochastic environments—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach—0
Academic Performance Estimation with Attention-based Graph Convolutional Networks—0
Characterizing the Decision Boundary of Deep Neural NetworksCode0
Towards Multicellular Biological Deep Neural Nets Based on Transcriptional RegulationCode0
Teaching Responsible Data Science: Charting New Pedagogical Territory—0
Direct and indirect reinforcement learning—0
Exploring Interpretability for Predictive Process Analytics—0
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment—0
Understanding Deep Neural Network Predictions for Medical Imaging Applications—0
One-Shot Decision-Making with and without SurrogatesCode0
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations—0
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations—0
Econometrics For Decision Making: Building Foundations Sketched By Haavelmo And Wald—0
Learning Generalizable Visual Representations via Interactive Gameplay—0
Learning from Discriminatory Training Data—0
Neural Mechanisms of Human Decision-Making—0
On the Explanation of Machine Learning Predictions in Clinical Gait AnalysisCode0
Complexity of Stochastic Dual Dynamic Programming—0
Privacy-Preserving Collaborative Operation of Networked Microgrids with the Local Utility Grid Based on Enhanced Benders Decomposition—0
A mechanical and economical based framework to help decision-makers for natural hazards and malicious events impact on infrastructure prevention—0
Intracellular Energy Variability Modulates Cellular Decision-Making Capacity—0
Fair Contextual Multi-Armed Bandits: Theory and Experiments—0
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified