SOTAVerified

Decision Making

Papers

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Showing 4951–5000 of 12311 papers

TitleStatusHype
Dependency Structure Search Bayesian Optimization for Decision Making Models—0
Markerless human pose estimation for biomedical applications: a survey—0
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive BiasCode0
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning—0
Analytical Techniques to Support Hospital Case Mix Planning—0
Chatbot Application to Support Smart Agriculture in Thailand—0
Analysis and Design of Uncertain Cyber-Physical Systems—0
Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges—0
Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records—0
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars—0
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging—0
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization—0
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class EmbeddingCode1
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual SpaceCode1
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries—0
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
PD-SEG: Population Disaggregation Using Deep Segmentation Networks For Improved Built Settlement Mask—0
Conflict-free joint decision by lag and zero-lag synchronization in laser network—0
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures—0
The Initial Screening Order ProblemCode0
Quantifying interictal intracranial EEG to predict focal epilepsy—0
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial MasksCode0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
Rapid and Scalable Bayesian AB Testing—0
Waypoint-Based Imitation Learning for Robotic Manipulation—0
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven DecisionsCode0
Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer visionCode0
Words That Stick: Predicting Decision Making and Synonym Engagement Using Cognitive Biases and Computational Linguistics—0
ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality—0
Improving International Climate Policy via Mutually Conditional Binding Commitments—0
Online learning in bandits with predicted context—0
Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks—0
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in EchocardiographyCode1
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards—0
Current Methods for Drug Property Prediction in the Real World—0
Explainable Disparity Compensation for Efficient Fair Ranking—0
It's Not Always the Leader's Fault: How Informed Followers Can Undermine Efficient Leadership—0
Deep Reinforcement Learning for Robust Goal-Based Wealth Management—0
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
UPREVE: An End-to-End Causal Discovery Benchmarking System—0
The Impact of Imperfect XAI on Human-AI Decision-Making—0
Model Calibration in Dense Classification with Adaptive Label PerturbationCode0
Counterfactual Explanation Policies in RL—0
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future OpportunitiesCode1
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems—0
Causal Fair Machine Learning via Rank-Preserving Interventional DistributionsCode0
Timely Target Tracking: Distributed Updating in Cognitive Radar Networks—0
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case—0
As Time Goes By: Adding a Temporal Dimension Towards Resolving Delegations in Liquid Democracy—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified