Joseph R. Barr

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 22

Top Topics

Natural Language Processing

Statistical Distributions

Machine Learning

Anomaly Detection

Top Venues

Int. J. Semantic Comput.

Encycl. Semantic Comput. Robotic Intell.

Publications

Joseph R. Barr, Marcus Sobel, Tyler Thatcher
Upsampling, a comparative study with new ideas. ICSC (2022)
Joseph R. Barr, Tyler Thatcher
On the Vulnerability of Large Corpora Source Code. ICSC (2022)
Joseph R. Barr, Toby D. Hocking, Garinn Morton, Tyler Thatcher, Peter Shaw
Classifying Imbalanced Data with AUM Loss. TransAI (2022)
Toby Dylan Hocking, Joseph R. Barr, Tyler Thatcher
Interpretable linear models for predicting security vulnerabilities in source code. TransAI (2022)
Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Toby Dylan Hocking
Graph Embedding: A Methodological Survey. TransAI (2022)
Peter Shaw, Joseph R. Barr, Faisal N. Abu-Khzam
Anomaly Detection via Correlation Clustering. ICSC (2022)
Faisal N. Abu-Khzam, Joseph R. Barr, Amin Fakhereldine, Peter Shaw
A Greedy Heuristic for Cluster Editing with Vertex Splitting. AI4I (2021)
Joseph R. Barr, Peter Shaw, Marcus Sobel
The Variability of Model Specification. CoRR (2021)
Joseph R. Barr, Peter Shaw, Tyler Thatcher
Vulnerability Analysis of the Android Kernel. CoRR (2021)
Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Sheng Yu
Vulnerability Rating of Source Code with Token Embedding and Combinatorial Algorithms. Int. J. Semantic Comput. 14 (4) (2020)
Joseph R. Barr, Daniela D'Auria, Fabio Persia
Telemedicine, Homecare in the Era of COVID-19 & Beyond. AI4I (2020)
Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr, Narayanan Srinivasan
The impact of colleges and hospitals to local real estate markets. J. Big Data 6 (2019)
Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Jikang Chen
Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering. GC (2019)
Joseph R. Barr
Machine Learning, A Tutorial with R. AI4I (2018)
Joseph R. Barr, Joseph E. Cavanaugh
Forensics: Assessing model goodness: A machine learning view. Encycl. Semantic Comput. Robotic Intell. 2 (2) (2018)
Joseph R. Barr, Shelemyahu Zacks
Goodness-of-fit of statistical distributions. Encycl. Semantic Comput. Robotic Intell. 2 (2) (2018)
Joseph R. Barr
Goodness of machine learning models. Encycl. Semantic Comput. Robotic Intell. 2 (2) (2018)
Joseph R. Barr, Peter Shaw
AI Application to Data Analysis, Automatic File Processing. AI4I (2018)
Joseph R. Barr, Shelemyahu Zacks
GLiM: Generalized linear models. Encycl. Semantic Comput. Robotic Intell. 1 (1) (2017)
Jawadul H. Bappy, Joseph R. Barr, Narayanan Srinivasan, Amit K. Roy-Chowdhury
Real Estate Image Classification. WACV (2017)
Joseph R. Barr, Eden A. Ellis, Antonio Kassab, Christian L. Redfearn, Nani Narayanan Srinivasan, Kurtis B. Voris
Home Price Index: A Machine Learning Methodology. Int. J. Semantic Comput. 11 (1) (2017)
Moloud Shahbazi, Joseph R. Barr, Vagelis Hristidis, Nani Narayanan Srinivasan
Estimation of the Investability of Real Estate Properties through Text Analysis. ICSC (2016)
Dimitri Popolov, Joseph R. Barr
"Units of Meaning" in Medical Documents: Natural Language Processing Perspective. ICSC (2014)
Joseph R. Barr, Dimitri Popolov
"Units of Meaning" in Medical Documents: A Natural Language Processing Perspective. Int. J. Semantic Comput. 8 (3) (2014)
G. Manning Richardson, Janet Bowers, A. John Woodill, Joseph R. Barr, Jean Mark Gawron, Richard A. Levine
Topic Models: A Tutorial with R. Int. J. Semantic Comput. 8 (1) (2014)
Tamara B. Sipes, Steve B. Jiang, Kevin Moore, Nan Li, Homa Karimabadi, Joseph R. Barr
Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data. Int. J. Semantic Comput. 8 (3) (2014)
Tamara B. Sipes, Homa Karimabadi, Steve B. Jiang, Kevin Moore, Nan Li, Joseph R. Barr
Anomaly Detection in Time Series Radiotherapy Treatment Data. ICSC (2014)
Lucie Sharpsten, Juanjuan Fan, Joseph R. Barr, Xiaogang Su, Shaban Demirel, Richard A. Levine
Predicting Glaucoma Progression using Decision Trees for Clustered Data by goodness of Split. Int. J. Semantic Comput. 7 (2) (2013)
Joseph R. Barr, Afrooz Jahedi, Mahroo Ehsani
Support Vectors Machine: a Tutorial with R. Int. J. Semantic Comput. 7 (2) (2013)
Joseph R. Barr
Guest Editor's Introduction. Int. J. Semantic Comput. 7 (2) (2013)
Joseph R. Barr, W. Kurt Dobson
Finding Problem Specific Shannon Information in High Dimensional input Space for Artificial Neural Networks. Int. J. Semantic Comput. 7 (2) (2013)