SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5351–5400 of 12311 papers

TitleStatusHype
About Emotion Identification in Visual Sentiment Analysis—0
A Brain-inspired Computational Model for Human-like Concept Learning—0
A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment—0
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning—0
A Brief Review of Explainable Artificial Intelligence in Healthcare—0
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics—0
Absolute convergence and error thresholds in non-active adaptive sampling—0
Abstract Argumentation and the Rational Man—0
Abstraction in decision-makers with limited information processing capabilities—0
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence—0
A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations—0
Academic Performance Estimation with Attention-based Graph Convolutional Networks—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
A Case for Backward Compatibility for Human-AI Teams—0
A Case for Business Process-Specific Foundation Models—0
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies—0
A Catalog of Fairness-Aware Practices in Machine Learning Engineering—0
A causal framework for discovering and removing direct and indirect discrimination—0
A Causal Lens for Evaluating Faithfulness Metrics—0
ACCAMS: Additive Co-Clustering to Approximate Matrices Succinctly—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence—0
Accelerating exploration and representation learning with offline pre-training—0
Accelerating Federated Edge Learning via Topology Optimization—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Accelerating process control and optimization via machine learning: A review—0
Accelerating Recursive Partition-Based Causal Structure Learning—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Accelerating Spectral Clustering under Fairness Constraints—0
Optimizing over an ensemble of neural networks—0
AcceRL: Policy Acceleration Framework for Deep Reinforcement Learning—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples—0
Accountable and Explainable Methods for Complex Reasoning over Text—0
Accounting for Model Uncertainty in Algorithmic Discrimination—0
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty—0
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks—0
Accurate Congenital Heart Disease Model Generation for 3D Printing—0
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings—0
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning—0
ACEBench: Who Wins the Match Point in Tool Learning?—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks—0
Achievement and Fragility of Long-term Equitability—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified