SOTAVerified

Decision Making

Papers

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Showing 7401–7450 of 12311 papers

TitleStatusHype
One Explanation to Rule them All -- Ensemble Consistent ExplanationsCode0
Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study—0
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling—0
Learning latent representations for operational nitrogen response rate prediction—0
Cyber Risk Assessment for Capital Management—0
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference—0
Model Agnostic Local Explanations of RejectCode0
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate—0
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies—0
2SLS with Multiple Treatments—0
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations—0
From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory—0
Developing patient-driven artificial intelligence based on personal rankings of care decision making steps—0
Clinical outcome prediction under hypothetical interventions -- a representation learning framework for counterfactual reasoning—0
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis—0
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law—0
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction FollowingCode0
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing—0
Large-Scale Sequential Learning for Recommender and Engineering Systems—0
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach—0
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty—0
EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome—0
Uninorm-like parametric activation functions for human-understandable neural models—0
Some neighborhood-related fuzzy covering-based rough set models and their applications for decision making—0
RTMaps-based Local Dynamic Map for multi-ADAS data fusion—0
SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contextsCode0
Two are not always better than one: Role specialization is an important determinant of collaborative task performance—0
Recent Contributions to Theories of Discrimination—0
Representation Learning for Context-Dependent Decision-Making—0
De-biasing "bias" measurementCode0
Multivariate ordered discrete response models—0
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation—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
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision MakingCode0
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making—0
Affective Medical Estimation and Decision Making via Visualized Learning and Deep LearningCode0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems—0
Interpretable Machine Learning for Self-Service High-Risk Decision-Making—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
Determination of class-specific variables in nonparametric multiple-class classification—0
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review—0
Probabilistic Control and Majorization of Optimal Control—0
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine LearningCode0
Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient OptimizationCode0
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization—0
Action Languages Based Actual Causality for Computational Ethics: a Sound and Complete Implementation in ASP—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified