
Bayesian Nonparametrics for Nonexhaustive Learning
Nonexhaustive learning (NEL) is an emerging machinelearning paradigm d...
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Developing and Deploying Machine Learning Pipelines against RealTime Image Streams from the PACS
Executing machine learning (ML) pipelines on radiology images is hard du...
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Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Link prediction, or predicting the likelihood of a link in a knowledge g...
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Incremental Method for Spectral Clustering of Increasing Orders
The smallest eigenvalues and the associated eigenvectors (i.e., eigenpai...
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Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drugdrug interactions
Background. Drugdrug interaction (DDI) is a major cause of morbidity an...
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Name Disambiguation in Anonymized Graphs using Network Embedding
In realworld, our DNA is unique but many people share names. This pheno...
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Bayesian NonExhaustive Classification for Active Online Name Disambiguation
The name disambiguation task partitions a collection of records pertaini...
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Scalable Downward Routing for Wireless Sensor Networks and Internet of Things Actuation
In this paper, we study the downward routing for network control/actuati...
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Drug Recommendation toward Safe Polypharmacy
Adverse drug reactions (ADRs) induced from highorder drugdrug interact...
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Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes
In a dynamic network, the neighborhood of the vertices evolve across dif...
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NeuralBrane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Network embedding methodologies, which learn a distributed vector repres...
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A likelihoodratio type test for stochastic block models with bounded degrees
A fundamental problem in network data analysis is to test ErdösRényi mo...
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Biomedical Document Clustering and Visualization based on the Concepts of Diseases
Document clustering is a text mining technique used to provide better do...
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Recycled Least Squares Estimation in Nonlinear Regression
We consider a resampling scheme for parameters estimates in nonlinear re...
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Recycled TwoStage Estimation in Nonlinear Mixed Effects Regression Models
We consider a resampling scheme for estimation of the population parame...
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Deductive semiparametric estimation in DoubleSampling Designs with application to PEPFAR
Robust estimators in missing data problems often use semiparametric esti...
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Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
Increasing rates of opioid drug abuse and heightened prevalence of onlin...
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Budgeted Reliability Maximization in Uncertain Graphs
Network reliability measures the probability that a target node is reach...
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FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications
The amount of largescale scientific computing software is dramatically ...
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The route to chaos in routing games: Population increase drives perioddoubling instability, chaos & inefficiency with Price of Anarchy equal to one
We study a learning dynamic model of routing (congestion) games to explo...
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A Repairable System Supported by Two Spare Units and Serviced by Two Types of Repairers
We study a oneunit repairable system, supported by two identical spare ...
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MachineLearningDriven New Geologic Discoveries at Mars Rover Landing Sites: Jezero and NE Syrtis
A hierarchical Bayesian classifier is trained at pixel scale with spectr...
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Progress Notes Classification and Keyword Extraction using Attentionbased Deep Learning Models with BERT
Despite recent advances in the application of deep learning algorithms t...
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Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care
The health needs of those living in resourcelimited settings are a vast...
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Bayesian Modeling of COVID19 Positivity Rate – the Indiana experience
In this short technical report we model, within the Bayesian framework, ...
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OpenGraphGymMG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Large scale graph optimization problems arise in many fields. This paper...
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Indiana University–Purdue University Indianapolis is a public research university in Indianapolis, Indiana.