Joseph R. Barr

According to our database1, Joseph R. Barr authored at least 22 papers between 1999 and 2020.

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Bibliography

2020
Telemedicine, Homecare in the Era of COVID-19 & Beyond.
Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020

2019
The impact of colleges and hospitals to local real estate markets.
J. Big Data, 2019

Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering.
Proceedings of the First International Conference on Graph Computing, 2019

2018
Goodness-of-fit of statistical distributions.
Encycl. Semantic Comput. Robotic Intell., 2018

Forensics: Assessing model goodness: A machine learning view.
Encycl. Semantic Comput. Robotic Intell., 2018

Goodness of machine learning models.
Encycl. Semantic Comput. Robotic Intell., 2018

AI Application to Data Analysis, Automatic File Processing.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

Machine Learning, A Tutorial with R.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Home Price Index: A Machine Learning Methodology.
Int. J. Semantic Comput., 2017

GLiM: Generalized linear models.
Encycl. Semantic Comput. Robotic Intell., 2017

Real Estate Image Classification.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016
Estimation of the Investability of Real Estate Properties through Text Analysis.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

2014
Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data.
Int. J. Semantic Comput., 2014

Topic Models: A Tutorial with R.
Int. J. Semantic Comput., 2014

"Units of Meaning" in Medical Documents: A Natural Language Processing Perspective.
Int. J. Semantic Comput., 2014

Anomaly Detection in Time Series Radiotherapy Treatment Data.
Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014

2013
Predicting Glaucoma Progression using Decision Trees for Clustered Data by goodness of Split.
Int. J. Semantic Comput., 2013

Support Vectors Machine: a Tutorial with R.
Int. J. Semantic Comput., 2013

Finding Problem Specific Shannon Information in High Dimensional input Space for Artificial Neural Networks.
Int. J. Semantic Comput., 2013

Guest Editor's Introduction.
Int. J. Semantic Comput., 2013

1999
Discrete Optimization.
Proceedings of the Handbook of Discrete and Combinatorial Mathematics., 1999

Discrete Probability.
Proceedings of the Handbook of Discrete and Combinatorial Mathematics., 1999


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