SOTAVerified

Decision Making

Papers

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Showing 11051–11100 of 12311 papers

TitleStatusHype
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge—0
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
Trajectory VAE for multi-modal imitation—0
Transductive Adaptation of Black Box Predictions—0
Transferable Belief Model on Quantum Circuits—0
Transferable Calibration with Lower Bias and Variance in Domain Adaptation—0
Transferable Knowledge for Low-cost Decision Making in Cloud Environments—0
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic—0
Transferring model structure in Bayesian transfer learning for Gaussian process regression—0
Transformation of basic probability assignments to probabilities based on a new entropy measure—0
Transformer-based interpretable multi-modal data fusion for skin lesion classification—0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
Transformer-Enhanced Motion Planner: Attention-Guided Sampling for State-Specific Decision Making—0
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting—0
Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches—0
Transforming Investment Strategies and Strategic Decision-Making: Unveiling a Novel Methodology for Enhanced Performance and Risk Management in Financial Markets—0
Transforming Musical Signals through a Genre Classifying Convolutional Neural Network—0
Transforming the Output of Generative Pre-trained Transformer: The Influence of the PGI Framework on Attention Dynamics—0
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics—0
Bayesian Image Classification with Deep Convolutional Gaussian Processes—0
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods—0
Transparency Promotion with Model-Agnostic Linear Competitors—0
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays—0
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception—0
TRAP: Targeted Redirecting of Agentic Preferences—0
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction—0
Treatment Effect Estimation for Optimal Decision-Making—0
Tree-Like Decision Distillation—0
Tree of Uncertain Thoughts Reasoning for Large Language Models—0
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models—0
Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery—0
Trees, forests, and impurity-based variable importance—0
Trend analysis and forecasting air pollution in Rwanda—0
Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs—0
Tri-axial Self-Attention for Concurrent Activity Recognition—0
Tri-Level Model for Hybrid Renewable Energy Systems—0
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation—0
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis—0
True Contextuality Beats Direct Influences in Human Decision Making—0
Truncated Matrix Completion - An Empirical Study—0
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination—0
Trust-Aware Control of Automated Vehicles in Car-Following Interactions with Human Drivers—0
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning—0
Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems—0
TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance—0
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification—0
Policy Gradient in Partially Observable Environments: Approximation and Convergence—0
Trustworthy AI: Deciding What to Decide—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified