SOTAVerified

Decision Making

Papers

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Showing 3951–4000 of 12311 papers

TitleStatusHype
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Deep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications—0
Low-Rank Online Dynamic Assortment with Dual Contextual Information—0
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet—0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information—0
Decision making in stochastic extensive form I: Stochastic decision forests—0
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams—0
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory—0
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs—0
Toward Short-Term Glucose Prediction Solely Based on CGM Time Series—0
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change—0
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action—0
Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?—0
Stability Certificates for Receding Horizon Games—0
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
Intelligence Education made in Europe—0
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models—0
Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework—0
The dynamics of diversity on corporate boards—0
Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI—0
Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language ModelsCode0
Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models—0
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review—0
The Impact of Machine Learning on Society: An Analysis of Current Trends and Future Implications—0
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningCode0
AudioProtoPNet: An interpretable deep learning model for bird sound classification—0
Towards free-response paradigm: a theory on decision-making in spiking neural networks—0
From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictions—0
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers—0
Human-Algorithm Collaborative Bayesian Optimization for Engineering SystemsCode0
Cognitive-Motor Integration in Assessing Bimanual Motor Skills—0
Application of Deep Learning Methods to Processing of Noisy Medical Video Data—0
End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving—0
Warm-Start Variational Quantum Policy IterationCode0
Effective Reinforcement Learning Based on Structural Information Principles—0
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response—0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Online Estimation via Offline Estimation: An Information-Theoretic Framework—0
Evaluating the Explainability of Attributes and Prototypes for a Medical Classification Model—0
Modeling Emotions and Ethics with Large Language ModelsCode0
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation—0
Understanding Multimodal Deep Neural Networks: A Concept Selection View—0
Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction—0
Incremental Residual Concept Bottleneck ModelsCode0
Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach—0
Voting Participation and Engagement in Blockchain-Based Fan Tokens—0
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives—0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite DataCode0
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing Economies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified