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Decision Making

Papers

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Showing 9401–9450 of 12311 papers

TitleStatusHype
Interaction Theory of Hazard-Target System—0
Interactive and Expressive Code-Augmented Planning with Large Language Models—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions—0
Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank—0
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making—0
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting—0
Interactive Natural Language Processing—0
Interactive Network Visualization of Opioid Crisis Related Data- Policy, Pharmaceutical, Training, and More—0
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning—0
Interactive Reference Point-Based Guided Local Search for the Bi-objective Inventory Routing Problem—0
Interactive Search Based on Deep Reinforcement Learning—0
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI—0
InteraSSort: Interactive Assortment Planning Using Large Language Models—0
Interference Effects in Quantum Belief Networks—0
InterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks—0
International environmental treaties: An honest or a misguided effort—0
Internet of Things-Based Smart Precision Farming in Soilless Agriculture:Opportunities and Challenges for Global Food Security—0
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration—0
Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT)—0
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning—0
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
Interpretability of artificial neural network models in artificial Intelligence vs. neuroscience—0
Interpretability of machine learning based prediction models in healthcare—0
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes—0
Interpretable Anomaly Detection via Discrete Optimization—0
Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level—0
Interpretable Classification Models for Recidivism Prediction—0
Interpretable Convolutional Neural Networks for Effective Translation Initiation Site Prediction—0
Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance—0
Interpretable Deep Learning under Fire—0
Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information—0
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems—0
Interpretable Design of Reservoir Computing Networks using Realization Theory—0
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map—0
Interpretable Differential Diagnosis with Dual-Inference Large Language Models—0
Interpretable Dual-Filter Fuzzy Neural Networks for Affective Brain-Computer Interfaces—0
Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities—0
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps—0
Interpretable Low-Resource Legal Decision Making—0
Review of Interpretable Machine Learning Models for Disease Prognosis—0
Interpretable Machine Learning for Self-Service High-Risk Decision-Making—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
Interpretable Mixture of Experts—0
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory—0
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
Interpretable Multiple Treatment Revenue Uplift Modeling—0
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified