SOTAVerified

Decision Making

Papers

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Showing 8851–8900 of 12311 papers

TitleStatusHype
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence—0
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search—0
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian GaitCode0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting—0
Fast Rates for the Regret of Offline Reinforcement Learning—0
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection—0
Fairness through Social Welfare Optimization—0
Reinforcement Learning for Freight Booking Control Problems—0
Beyond traditional assumptions in fair machine learning—0
The Behavioral Economics of Intrapersonal Conflict: A Critical Assessment—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
A Taxonomy of Explainable Bayesian Networks—0
Statistical guided-waves-based SHM via stochastic non-parametric time series models—0
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges—0
On the Interpretability of Deep Learning Based Models for Knowledge Tracing—0
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis—0
Detecting discriminatory risk through data annotation based on Bayesian inferences—0
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
Uncertainty aware and explainable diagnosis of retinal diseaseCode1
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme—0
Cognitive Perspectives on Context-based Decisions and Explanations—0
A fusion method for multi-valued data—0
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
BF++: a language for general-purpose program synthesisCode0
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms—0
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks—0
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations—0
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography ImagesCode1
Estimating Average Treatment Effects via Orthogonal RegularizationCode0
An empirical evaluation of active inference in multi-armed banditsCode1
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions—0
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches—0
Flocking and Collision Avoidance for a Dynamic Squad of Fixed-Wing UAVs Using Deep Reinforcement Learning—0
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
GLocalX -- From Local to Global Explanations of Black Box AI ModelsCode1
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
Transferring model structure in Bayesian transfer learning for Gaussian process regression—0
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual RequestsCode1
Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems—0
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles—0
Deciding What to Learn: A Rate-Distortion Approach—0
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts—0
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified