Joseph R. Barr

According to our database, Joseph R. Barr authored at least 32 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Interpretable linear models for predicting security vulnerabilities in source code.

Toby Dylan Hocking, Joseph R. Barr, Tyler Thatcher

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Classifying Imbalanced Data with AUM Loss.

Joseph R. Barr, Toby Dylan Hocking, Garinn Morton, Tyler Thatcher, Peter Shaw

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Graph Embedding: A Methodological Survey.

Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Toby Dylan Hocking

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Anomaly Detection via Correlation Clustering.

Peter Shaw, Joseph R. Barr, Faisal N. Abu-Khzam

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

On the Vulnerability of Large Corpora Source Code.

Joseph R. Barr, Tyler Thatcher

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

Upsampling, a comparative study with new ideas.

Joseph R. Barr, Marcus Sobel, Tyler Thatcher

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

2021

Vulnerability Analysis of the Android Kernel.

Joseph R. Barr, Peter Shaw, Tyler Thatcher

CoRR, 2021

The Variability of Model Specification.

Joseph R. Barr, Peter Shaw, Marcus Sobel

CoRR, 2021

A Greedy Heuristic for Cluster Editing with Vertex Splitting.

Faisal N. Abu-Khzam, Joseph R. Barr, Amin Fakhereldine, Peter Shaw

Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020

Vulnerability Rating of Source Code with Token Embedding and Combinatorial Algorithms.

Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Sheng Yu

Int. J. Semantic Comput., 2020

Telemedicine, Homecare in the Era of COVID-19 & Beyond.

Joseph R. Barr, Daniela D'Auria, Fabio Persia

Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020

2019

The impact of colleges and hospitals to local real estate markets.

Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr, Narayanan Srinivasan

J. Big Data, 2019

Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering.

Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Jikang Chen

Proceedings of the First International Conference on Graph Computing, 2019

2018

Goodness-of-fit of statistical distributions.

Joseph R. Barr, Shelemyahu Zacks

Encycl. Semantic Comput. Robotic Intell., 2018

Forensics: Assessing model goodness: A machine learning view.

Joseph R. Barr, Joseph E. Cavanaugh

Encycl. Semantic Comput. Robotic Intell., 2018

Goodness of machine learning models.

Joseph R. Barr

Encycl. Semantic Comput. Robotic Intell., 2018

AI Application to Data Analysis, Automatic File Processing.

Joseph R. Barr, Peter Shaw

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

Machine Learning, A Tutorial with R.

Joseph R. Barr

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017

Home Price Index: A Machine Learning Methodology.

Joseph R. Barr, Eden A. Ellis, Antonio Kassab, Christian L. Redfearn, Nani Narayanan Srinivasan, Kurtis B. Voris

Int. J. Semantic Comput., 2017

GLiM: Generalized linear models.

Joseph R. Barr, Shelemyahu Zacks

Encycl. Semantic Comput. Robotic Intell., 2017

Real Estate Image Classification.

Jawadul H. Bappy, Joseph R. Barr, Narayanan Srinivasan, Amit K. Roy-Chowdhury

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.

Moloud Shahbazi, Joseph R. Barr, Vagelis Hristidis, Nani Narayanan Srinivasan

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.

Tamara B. Sipes, Steve B. Jiang, Kevin Moore, Nan Li, Homa Karimabadi, Joseph R. Barr

Int. J. Semantic Comput., 2014

Topic Models: A Tutorial with R.

G. Manning Richardson, Janet Bowers, A. John Woodill, Joseph R. Barr, Jean Mark Gawron, Richard A. Levine

Int. J. Semantic Comput., 2014

"Units of Meaning" in Medical Documents: A Natural Language Processing Perspective.

Joseph R. Barr, Dimitri Popolov

Int. J. Semantic Comput., 2014

Anomaly Detection in Time Series Radiotherapy Treatment Data.

Tamara B. Sipes, Homa Karimabadi, Steve B. Jiang, Kevin Moore, Nan Li, Joseph R. Barr

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.

Lucie Sharpsten, Juanjuan Fan, Joseph R. Barr, Xiaogang Su, Shaban Demirel, Richard A. Levine

Int. J. Semantic Comput., 2013

Support Vectors Machine: a Tutorial with R.

Joseph R. Barr, Afrooz Jahedi, Mahroo Ehsani

Int. J. Semantic Comput., 2013

Finding Problem Specific Shannon Information in High Dimensional input Space for Artificial Neural Networks.

Joseph R. Barr, W. Kurt Dobson

Int. J. Semantic Comput., 2013

Guest Editor's Introduction.

Joseph R. Barr

Int. J. Semantic Comput., 2013

1999

Discrete Optimization.

Beth Novick, S. Louis Hakimi, Sunil Chopra, David Simchi-Levi, Salah E. Elmaghraby, Michael Mesterton-Gibbons, Joseph R. Barr

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

Discrete Probability.

Joseph R. Barr, Peter R. Turner, Patrick Jaillet, Vidyadhar G. Kulkarni, Lawrence M. Leemis

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