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Decision Making

Papers

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Showing 7701–7750 of 12311 papers

TitleStatusHype
Learning Behavioral Soft Constraints from Demonstrations—0
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks—0
Investigations of Performance and Bias in Human-AI Teamwork in Hiring—0
Bayes-Optimal Classifiers under Group FairnessCode0
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving—0
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?—0
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis—0
Toward a Smart Resource Allocation Policy via Artificial Intelligence in 6G Networks: Centralized or Decentralized?—0
System Safety and Artificial Intelligence—0
Should I send this notification? Optimizing push notifications decision making by modeling the future—0
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomesCode0
A Survey of Explainable Reinforcement Learning—0
Reducing Overconfidence Predictions for Autonomous Driving Perception—0
Playing against no-regret players—0
Algorithmic audits of algorithms, and the law—0
Explainable Predictive Process Monitoring: A User Evaluation—0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks—0
Using transcription-based detectors to emulate the behaviour of sequential probability ratio-based concentration detectors—0
Zero-Shot Assistance in Sequential Decision ProblemsCode0
Sequential Bayesian experimental designs via reinforcement learning—0
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning—0
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data—0
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence—0
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree SearchCode0
Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection—0
Assessment of contextualised representations in detecting outcome phrases in clinical trials—0
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading—0
Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility—0
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo LabelsCode0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search—0
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs—0
Closure operators: Complexity and applications to classification and decision-making—0
The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approachCode0
Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making—0
Designing Closed Human-in-the-loop Deferral PipelinesCode0
AI-based approach for improving the detection of blood doping in sports—0
Real-time decision-making for autonomous vehicles under faults—0
Evaluating the impact of quarantine measures on COVID-19 spread—0
Provable Reinforcement Learning with a Short-Term Memory—0
Latent gaze information in highly dynamic decision-tasks—0
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest RadiographsCode0
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks—0
VNE Strategy based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-criteria Decision Making—0
Learning fair representation with a parametric integral probability metricCode0
Integration of Clinical, Biological, and Computational Perspectives to Support Cerebral Autoregulatory Informed Clinical Decision Making Decomposing Cerebral Autoregulation using Mechanistic Timescales to Support Clinical Decision-Making—0
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components—0
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscienceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified