Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
Artificial intelligence accelerates multi-modal biomedical process: A Survey
The abundance of artificial intelligence AI algorithms and growing computing power has
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index,
which integrates insights from subgroup analysis and personalized AI time-to-event models …
which integrates insights from subgroup analysis and personalized AI time-to-event models …
Using bayesian neural networks to select features and compute credible intervals for personalized survival prediction
An Individual Survival Distribution (ISD) models a patient's personalized survival probability
at all future time points. Previously, ISD models have been shown to produce accurate and …
at all future time points. Previously, ISD models have been shown to produce accurate and …
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the …
TodevelopanovelUncertaintyQuantification (UQ) framework to estimate the uncertainty of
patient survival models in the absence of ground truth, we developed and evaluated our …
patient survival models in the absence of ground truth, we developed and evaluated our …
[PDF][PDF] Regret minimization with function approximation in extensive-form games
R D'Orazio - 2020 - era.library.ualberta.ca
Computing a Nash equilibrium in zero-sum games, or more generally saddle point
optimization, is a fundamental problem in game theory and machine learning, with …
optimization, is a fundamental problem in game theory and machine learning, with …
Solving common-payoff games with approximate policy iteration
S Sokota - 2020 - era.library.ualberta.ca
For artificially intelligent learning systems to be deployed widely in real-world settings, it is
important that they be able to operate decentrally. Unfortunately, decentralized control is …
important that they be able to operate decentrally. Unfortunately, decentralized control is …
Individual survival distributions: A more effective tool for survival prediction
HS Haider - 2019 - era.library.ualberta.ca
An accurate model of a patient's individual survival distribution can help determine the
appropriate treatment for terminal patients. Unfortunately, risk scores (eg, from Cox …
appropriate treatment for terminal patients. Unfortunately, risk scores (eg, from Cox …