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Decision Making

Papers

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Showing 7351–7400 of 12311 papers

TitleStatusHype
Translational Quantum Machine Intelligence for Modeling Tumor Dynamics in OncologyCode0
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics—0
Selling to a principal and a budget-constrained agent—0
Learning Behavioral Soft Constraints from Demonstrations—0
Explainability in Machine Learning: a Pedagogical Perspective—0
Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review—0
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks—0
Bayes-Optimal Classifiers under Group FairnessCode0
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving—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
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?—0
A Survey of Explainable Reinforcement Learning—0
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomesCode0
Should I send this notification? Optimizing push notifications decision making by modeling the future—0
Playing against no-regret players—0
Reducing Overconfidence Predictions for Autonomous Driving Perception—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
Adaptive Conformal Predictions for Time SeriesCode1
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree SearchCode0
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection—0
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning—0
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence—0
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide ImagesCode1
Sequential Bayesian experimental designs via reinforcement learning—0
MuZero with Self-competition for Rate Control in VP9 Video Compression—0
Assessment of contextualised representations in detecting outcome phrases in clinical trials—0
Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility—0
A Fully Decentralized Tuning-free Inexact Projection Method for P2P Energy Trading—0
Uncalibrated Models Can Improve Human-AI CollaborationCode1
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
Closure operators: Complexity and applications to classification and decision-making—0
Towards the automated large-scale reconstruction of past road networks from historical mapsCode1
The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approachCode0
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs—0
AI-based approach for improving the detection of blood doping in sports—0
Evaluating the impact of quarantine measures on COVID-19 spread—0
Designing Closed Human-in-the-loop Deferral PipelinesCode0
Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making—0
Real-time decision-making for autonomous vehicles under faults—0
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified