SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3751–3800 of 12311 papers

TitleStatusHype
Discovering Representative Attribute-stars via Minimum Description Length—0
Discovering the Symptom Patterns of COVID-19 from Recovered and Deceased Patients Using Apriori Association Rule Mining—0
Discovery of Predictive Representations With a Network of General Value Functions—0
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy—0
Discrete-Choice Model with Generalized Additive Utility Network—0
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components—0
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models—0
Deep learning for smart fish farming: applications, opportunities and challenges—0
Deep Learning for Signal Authentication and Security in Massive Internet of Things Systems—0
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents—0
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
Discretizing Logged Interaction Data Biases Learning for Decision-Making—0
Discrimination and Class Imbalance Aware Online Naive Bayes—0
Discrimination in the Age of Algorithms—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
Discriminatory or Samaritan -- which AI is needed for humanity? An Evolutionary Game Theory Analysis of Hybrid Human-AI populations—0
Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data—0
Disease phenotyping using deep learning: A diabetes case study—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation—0
A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning—0
Disentangling private classes through regularization—0
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers—0
Algorithmic decision making methods for fair credit scoring—0
Disentangling Representations through Multi-task Learning—0
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction—0
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning—0
Disfluent but effective? A quantitative study of disfluencies and conversational moves in team discourse—0
Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases—0
Dispute resolution in legal mediation with quantitative argumentation—0
Deep Learning for Conversational AI—0
Dissecting the Impact of Model Misspecification in Data-Driven Optimization—0
Deep learning for affective computing: text-based emotion recognition in decision support—0
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning—0
Distilling Analysis from Generative Models for Investment Decisions—0
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain—0
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records—0
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences—0
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach—0
Distributed Bandits with Heterogeneous Agents—0
Distributed Chernoff Test: Optimal decision systems over networks—0
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization—0
Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit—0
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers—0
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Show:102550
← PrevPage 76 of 247Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified