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Decision Making

Papers

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Showing 9001–9050 of 12311 papers

TitleStatusHype
Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module—0
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak—0
Freudian and Newtonian Recurrent Cell for Sequential Recommendation—0
Knowledge Infused Policy Gradients for Adaptive Pandemic Control—0
Testing Framework for Black-box AI Models—0
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering MediaCode0
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions—0
Task-Optimal Exploration in Linear Dynamical Systems—0
Patterns, predictions, and actions: A story about machine learning—0
Interactive Network Visualization of Opioid Crisis Related Data- Policy, Pharmaceutical, Training, and More—0
Rationally Inattentive Utility Maximization for Interpretable Deep Image ClassificationCode0
Dynamic Neural Networks: A Survey—0
Relational Dynamic Bayesian Network Modeling for Uncertainty Quantification and Propagation in Airline Disruption Management—0
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic FairnessCode0
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control—0
Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems—0
Efficient Data-Driven Optimization with Noisy Data—0
A Ranking Approach to Fair Classification—0
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases—0
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees—0
An Analysis of Frame-skipping in Reinforcement Learning—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Confidence-Budget Matching for Sequential Budgeted Learning—0
Uncertainty quantification and exploration-exploitation trade-off in humans—0
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction—0
Feedback in Imitation Learning: The Three Regimes of Covariate Shift—0
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification—0
Neural Recursive Belief States in Multi-Agent Reinforcement Learning—0
Focusing Knowledge-based Graph Argument Mining via Topic Modeling—0
Generative deep learning for decision making in gas networks—0
You Cannot Do That Ben Stokes: Dynamically Predicting Shot Type in Cricket Using a Personalized Deep Neural Network—0
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond—0
The Ethical Implications of Shared Medical Decision Making without Providing Adequate Computational Support to the Care Provider and to the Patient—0
Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision makingCode0
Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs—0
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning—0
Big Data Analytics Applying the Fusion Approach of Multicriteria Decision Making with Deep Learning Algorithms—0
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events—0
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making—0
Counting Protests in News Articles: A Dataset and Semi-Automated Data Collection Pipeline—0
Monotone additive statistics—0
Diagnosis of Acute Poisoning Using Explainable Artificial Intelligence—0
Spatiotemporal Ground Reaction Force Analysis using Convolutional Neural Networks to Analyze Parkinsonian GaitCode0
Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search—0
Fast Rates for the Regret of Offline Reinforcement Learning—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting—0
Fairness through Social Welfare Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified