Discrete Probability. - Joseph R. Barr; Peter R. Turner; Patrick Jaillet; Vidyadhar G. Kulkarni; Lawrence M. Leemis (Handbook of Discrete and Combinatorial Mathematics, 1999)

Discrete Optimization. - Beth Novick; S. Louis Hakimi; Sunil Chopra; David Simchi-Levi; Salah E. Elmaghraby; Michael Mesterton-Gibbons; Joseph R. Barr (Handbook of Discrete and Combinatorial Mathematics, 1999)

Guest Editor's Introduction. - Joseph R. Barr (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)

Support Vectors Machine: a Tutorial with R. - Joseph R. Barr; Afrooz Jahedi; Mahroo Ehsani (Int. J. Semantic Comput., 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)

Anomaly Detection in Time Series Radiotherapy Treatment Data. - Tamara B. Sipes; Homa Karimabadi; Steve B. Jiang; Kevin Moore 002; Nan Li; Joseph R. Barr (ICSC, 2014)

"Units of Meaning" in Medical Documents: A Natural Language Processing Perspective. - Joseph R. Barr; Dimitri Popolov (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)

Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data. - Tamara B. Sipes; Steve B. Jiang; Kevin Moore 002; Nan Li; Homa Karimabadi; Joseph R. Barr (Int. J. Semantic Comput., 2014)

Estimation of the Investability of Real Estate Properties through Text Analysis. - Moloud Shahbazi; Joseph R. Barr; Vagelis Hristidis; Nani Narayanan Srinivasan (ICSC, 2016)

Real Estate Image Classification. - Jawadul H. Bappy; Joseph R. Barr; Narayanan Srinivasan 002; Amit K. Roy-Chowdhury (WACV, 2017)

GLiM: Generalized linear models. - Joseph R. Barr; Shelemyahu Zacks (Encycl. Semantic Comput. Robotic Intell., 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)

Machine Learning, A Tutorial with R. - Joseph R. Barr (AI4I, 2018)

AI Application to Data Analysis, Automatic File Processing. - Joseph R. Barr; Peter Shaw 001 (AI4I, 2018)

Goodness of machine learning models. - Joseph R. Barr (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-fit of statistical distributions. - Joseph R. Barr; Shelemyahu Zacks (Encycl. Semantic Comput. Robotic Intell., 2018)

Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering. - Joseph R. Barr; Peter Shaw 001; Faisal N. Abu-Khzam; Jikang Chen (GC, 2019)

The impact of colleges and hospitals to local real estate markets. - Ryan Rivas; Dinesh Patil; Vagelis Hristidis; Joseph R. Barr; Narayanan Srinivasan 002 (J. Big Data, 2019)

Telemedicine, Homecare in the Era of COVID-19 & Beyond. - Joseph R. Barr; Daniela D'Auria; Fabio Persia (AI4I, 2020)

Vulnerability Rating of Source Code with Token Embedding and Combinatorial Algorithms. - Joseph R. Barr; Peter Shaw 001; Faisal N. Abu-Khzam; Tyler Thatcher; Sheng Yu (Int. J. Semantic Comput., 2020)

A Greedy Heuristic for Cluster Editing with Vertex Splitting. - Faisal N. Abu-Khzam; Joseph R. Barr; Amin Fakhereldine; Peter Shaw 001 (AI4I, 2021)

The Variability of Model Specification. - Joseph R. Barr; Peter Shaw 001; Marcus Sobel (CoRR, 2021)

Vulnerability Analysis of the Android Kernel. - Joseph R. Barr; Peter Shaw 001; Tyler Thatcher (CoRR, 2021)

Upsampling, a comparative study with new ideas. - Joseph R. Barr; Marcus Sobel; Tyler Thatcher (ICSC, 2022)

On the Vulnerability of Large Corpora Source Code. - Joseph R. Barr; Tyler Thatcher (ICSC, 2022)

Anomaly Detection via Correlation Clustering. - Peter Shaw 001; Joseph R. Barr; Faisal N. Abu-Khzam (ICSC, 2022)

Graph Embedding: A Methodological Survey. - Joseph R. Barr; Peter Shaw 001; Faisal N. Abu-Khzam; Tyler Thatcher; Toby Dylan Hocking (TransAI, 2022)

Classifying Imbalanced Data with AUM Loss. - Joseph R. Barr; Toby Dylan Hocking; Garinn Morton; Tyler Thatcher; Peter Shaw 001 (TransAI, 2022)

Interpretable linear models for predicting security vulnerabilities in source code. - Toby Dylan Hocking; Joseph R. Barr; Tyler Thatcher (TransAI, 2022)