SOTAVerified

Decision Making

Papers

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Showing 7051–7100 of 12311 papers

TitleStatusHype
EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome—0
Two are not always better than one: Role specialization is an important determinant of collaborative task performance—0
Representation Learning for Context-Dependent Decision-Making—0
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contextsCode0
Recent Contributions to Theories of Discrimination—0
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making—0
The Conflict Between Explainable and Accountable Decision-Making Algorithms—0
Multivariate ordered discrete response models—0
De-biasing "bias" measurementCode0
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation—0
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making—0
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision MakingCode0
Interpretable Machine Learning for Self-Service High-Risk Decision-Making—0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
Affective Medical Estimation and Decision Making via Visualized Learning and Deep LearningCode0
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems—0
The Roles and Modes of Human Interactions with Automated Machine Learning Systems—0
Introduction to Soar—0
From Discovery to Production: Challenges and Novel Methodologies for Next Generation Biomanufacturing—0
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
Determination of class-specific variables in nonparametric multiple-class classification—0
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine LearningCode0
Probabilistic Control and Majorization of Optimal Control—0
Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient OptimizationCode0
Action Languages Based Actual Causality for Computational Ethics: a Sound and Complete Implementation in ASP—0
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization—0
General sum stochastic games with networked information flows—0
KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design—0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot ActionsCode0
Evaluating Deep Taylor Decomposition for Reliability Assessment in the WildCode0
On the Utility of Prediction Sets in Human-AI Teams—0
On the Effect of Information Asymmetry in Human-AI Teams—0
An Intrinsic Entropy Model for Exchange-Traded Securities—0
MP and MT properties of fuzzy inference with aggregation function—0
Modeling and mitigation of occupational safety risks in dynamic industrial environments—0
Optimal preference satisfaction for conflict-free joint decisions—0
Rational social distancing policy during epidemics with limited healthcare capacity—0
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization—0
DDDM: a Brain-Inspired Framework for Robust ClassificationCode0
Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models—0
Towards Fine-grained Classification of Climate Change related Social Media Text—0
Towards Generalizable Methods for Automating Risk Score Calculation—0
Reinforced Cross-modal Alignment for Radiology Report GenerationCode0
Conversational AI for Positive-sum Retailing under Falsehood ControlCode0
Model Distillation for Faithful Explanations of Medical Code Predictions—0
Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts—0
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach—0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified