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Decision Making

Papers

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Showing 11301–11350 of 12311 papers

TitleStatusHype
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features—0
Using a Binary Classification Model to Predict the Likelihood of Enrolment to the Undergraduate Program of a Philippine University—0
Using AI Uncertainty Quantification to Improve Human Decision-Making—0
Using ARIMA to Predict the Expansion of Subscriber Data Consumption—0
Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control—0
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry—0
Using cognitive psychology to understand GPT-3—0
Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates—0
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification—0
Using deep convolutional neural networks to classify poisonous and edible mushrooms found in China—0
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States—0
Using economic value signals from primate prefrontal cortex in neuro-engineering applications—0
Using explainability to design physics-aware CNNs for solving subsurface inverse problems—0
Using Factual Density to Measure Informativeness of Web Documents—0
Using General Value Functions to Learn Domain-Backed Inventory Management Policies—0
Using Graph Convolutional Networks and TD(λ) to play the game of Risk—0
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms—0
Using growth transform dynamical systems for spatio-temporal data sonification—0
Using Hadoop for Large Scale Analysis on Twitter: A Technical Report—0
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT—0
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
Using Large Language Models for Parametric Shape Optimization—0
Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose—0
Using Machine Learning Methods for Automation of Size Grid Building and Management—0
Using machine learning techniques to predict hospital admission at the emergency department—0
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning—0
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study—0
Using Personal Traits For Brand Preference Prediction—0
Using Player's Body-Orientation to Model Pass Feasibility in Soccer—0
Using Property Elicitation to Understand the Impacts of Fairness Regularizers—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration—0
Using Reinforcement Learning to Integrate Subjective Wellbeing into Climate Adaptation Decision Making—0
Using semantic clustering to support situation awareness on Twitter: The case of World Views—0
Using Shortlists to Support Decision Making and Improve Recommender System Performance—0
Using simulation to incorporate dynamic criteria into multiple criteria decision-making—0
Improving performance in multi-objective decision-making in Bottles environments with soft maximin approaches—0
Using Surprise Index for Competency Assessment in Autonomous Decision-Making—0
Using transcription-based detectors to emulate the behaviour of sequential probability ratio-based concentration detectors—0
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression—0
Using word clouds for fast identification of papers' subject domain and reviewers' competences—0
UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text—0
Utility-based Dueling Bandits as a Partial Monitoring Game—0
Utility Maximization Under Endogenous Uncertainty—0
Utility Pole Fire Risk Inspection from 2D Street-Side Images—0
Utility Theory for Sequential Decision Making—0
Utilization of domain knowledge to improve POMDP belief estimation—0
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach—0
Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration—0
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified