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Decision Making

Papers

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Showing 7251–7300 of 12311 papers

TitleStatusHype
CookDial: A dataset for task-oriented dialogs grounded in procedural documentsCode0
Proposing Dynamic Model of Functional Interactions of IoT Technological Innovation System by Using System Dynamics and Fuzzy DEMATEL—0
Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles—0
Explainability's Gain is Optimality's Loss? -- How Explanations Bias Decision-making—0
Thompson Sampling Achieves O(T) Regret in Linear Quadratic Control—0
Strategic Representation—0
Belief-Desire-Intention (BDI) Multi-agent System for Cloud Marketplace Negotiation—0
Quantifying Feature Contributions to Overall Disparity Using Information Theory—0
Definition drives design: Disability models and mechanisms of bias in AI technologies—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Automating the resolution of flight conflicts: Deep reinforcement learning in service of air traffic controllers—0
Coevolutionary Dynamics of Actions and Opinions in Social Networks—0
Evaluating Short-Term Forecasting of Multiple Time Series in IoT EnvironmentsCode0
Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis—0
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method—0
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook—0
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning—0
Theory of Machine Learning with Limited Data—0
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator—0
Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic—0
Temporal Multimodal Multivariate Learning—0
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience—0
Combining Counterfactuals With Shapley Values To Explain Image Models—0
CNN-based Classification Framework for Lung Tissues with Auxiliary Information—0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
A Methodology and Software Architecture to Support Explainability-by-DesignCode0
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience—0
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion ClassificationCode0
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning—0
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review—0
Monitoring and Proactive Management of QoS Levels in Pervasive Applications—0
Grid-SiPhyR: An end-to-end learning to optimize framework for combinatorial problems in power systems—0
VAC2: Visual Analysis of Combined Causality in Event Sequences—0
Surround-View Cameras based Holistic Visual Perception for Automated DrivingCode0
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classificationCode0
Classes of Aggregation Rules for Ethical Decision Making in Automated Systems—0
Large-Scale Retrieval for Reinforcement Learning—0
Interactively Learning Preference Constraints in Linear BanditsCode0
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces—0
A taxonomy of explanations to support Explainability-by-Design—0
Concept Identification for Complex Engineering Datasets—0
Joint Entropy Search for Maximally-Informed Bayesian OptimizationCode0
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference—0
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision makingCode0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
Combining Monte-Carlo Tree Search with Proof-Number Search—0
Integrating Symmetry into Differentiable Planning with Steerable Convolutions—0
How unfair is private learning ?—0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified