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Decision Making

Papers

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Showing 7101–7150 of 12311 papers

TitleStatusHype
Fair Feature Subset Selection using Multiobjective Genetic Algorithm—0
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-Making—0
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 Problems—0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers—0
Toward Compositional Generalization in Object-Oriented World Modeling—0
Open challenges for Machine Learning based Early Decision-Making researchCode1
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare—0
A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions—0
Discovering Representative Attribute-stars via Minimum Description Length—0
Counterfactual harm—0
Towards assessing agricultural land suitability with causal machine learning—0
Evolutionary Multi-Armed Bandits with Genetic Thompson SamplingCode0
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach—0
Cross-media Scientific Research Achievements Query based on Ranking Learning—0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level—0
Toward Policy Explanations for Multi-Agent Reinforcement LearningCode0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection—0
On Machine Learning-Driven Surrogates for Sound Transmission Loss SimulationsCode0
Task-Induced Representation Learning—0
Identification and Statistical Decision Theory—0
Partial Identification of Dose Responses with Hidden Confounders—0
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
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV—0
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains—0
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity—0
ICDBigBird: A Contextual Embedding Model for ICD Code Classification—0
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecastingCode1
A two-level machine learning framework for predictive maintenance: comparison of learning formulations—0
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement LearningCode1
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics—0
SelfD: Self-Learning Large-Scale Driving Policies From the Web—0
Neurochaos Feature Transformation and Classification for Imbalanced LearningCode0
Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms—0
Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply ChainsCode1
Causality-based Neural Network Repair—0
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics—0
Factors that influence the adoption of human-AI collaboration in clinical decision-making—0
On the Influence of Explainable AI on Automation Bias—0
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes—0
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models—0
Predictive analytics for appointment bookings—0
AI for human assessment: What do professional assessors need?—0
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime PredictionCode1
Cognitive Architecture for Decision-Making Based on Brain Principles Programming—0
The Poisson algorithm: a simple method to simulate stochastic epidemic models with generally distributed residence times—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified