SOTAVerified

Decision Making

Papers

Showing 74517500 of 12311 papers

TitleStatusHype
General sum stochastic games with networked information flows0
KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot ActionsCode0
An Intrinsic Entropy Model for Exchange-Traded Securities0
MP and MT properties of fuzzy inference with aggregation function0
On the Effect of Information Asymmetry in Human-AI Teams0
Evaluating Deep Taylor Decomposition for Reliability Assessment in the WildCode0
On the Utility of Prediction Sets in Human-AI Teams0
Modeling and mitigation of occupational safety risks in dynamic industrial environments0
Rational social distancing policy during epidemics with limited healthcare capacity0
Optimal preference satisfaction for conflict-free joint decisions0
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization0
Reinforced Cross-modal Alignment for Radiology Report GenerationCode0
Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts0
Buy Tesla, Sell Ford: Assessing Implicit Stock Market Preference in Pre-trained Language Models0
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach0
Conversational AI for Positive-sum Retailing under Falsehood ControlCode0
Model Distillation for Faithful Explanations of Medical Code Predictions0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
DDDM: a Brain-Inspired Framework for Robust ClassificationCode0
Towards Generalizable Methods for Automating Risk Score Calculation0
Towards Fine-grained Classification of Climate Change related Social Media Text0
Fair Feature Subset Selection using Multiobjective Genetic Algorithm0
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamicsCode0
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making0
Toward Compositional Generalization in Object-Oriented World Modeling0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers0
The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems0
Towards assessing agricultural land suitability with causal machine learning0
Counterfactual harm0
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions0
Discovering Representative Attribute-stars via Minimum Description Length0
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare0
Cross-media Scientific Research Achievements Query based on Ranking Learning0
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Task-Induced Representation Learning0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection0
On Machine Learning-Driven Surrogates for Sound Transmission Loss SimulationsCode0
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry DataCode0
Identification and Statistical Decision Theory0
Partial Identification of Dose Responses with Hidden Confounders0
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV0
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains0
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity0
ICDBigBird: A Contextual Embedding Model for ICD Code Classification0
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified