SOTAVerified

Decision Making

Papers

Showing 71017125 of 12311 papers

TitleStatusHype
Fair Feature Subset Selection using Multiobjective Genetic Algorithm0
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision TreesCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making0
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers0
Toward Compositional Generalization in Object-Oriented World Modeling0
Open challenges for Machine Learning based Early Decision-Making researchCode1
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare0
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions0
Discovering Representative Attribute-stars via Minimum Description Length0
Counterfactual harm0
Towards assessing agricultural land suitability with causal machine learning0
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach0
Cross-media Scientific Research Achievements Query based on Ranking Learning0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
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
Task-Induced Representation Learning0
Identification and Statistical Decision Theory0
Partial Identification of Dose Responses with Hidden Confounders0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified