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ORCIDJoseph R. Barr
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- affiliation: Barr Analytics, Irvine, CA, USA
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Journal Articles
- 2020
[j14]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): 501-516 (2020)- 2019
- [j13]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: 7 (2019) - 2018
- [j12]Joseph R. Barr, Shelemyahu Zacks:
Goodness-of-fit of statistical distributions. Encycl. Semantic Comput. Robotic Intell. 2(2): 1850014:1-1850014:5 (2018) - [j11]Joseph R. Barr, Joseph E. Cavanaugh:
Forensics: Assessing model goodness: A machine learning view. Encycl. Semantic Comput. Robotic Intell. 2(2): 1850015:1-1850015:7 (2018) - [j10]Joseph R. Barr:
Goodness of machine learning models. Encycl. Semantic Comput. Robotic Intell. 2(2): 1850018:1-1850018:6 (2018) - 2017
- [j9]Joseph R. Barr, Shelemyahu Zacks:
GLiM: Generalized linear models. Encycl. Semantic Comput. Robotic Intell. 1(1): 1630016:1-1630016:7 (2017) - [j8]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): 111- (2017) - 2014
- [j7]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): 85-98 (2014) - [j6]Joseph R. Barr, Dimitri Popolov:
"Units of Meaning" in Medical Documents: A Natural Language Processing Perspective. Int. J. Semantic Comput. 8(3): 249-256 (2014) - [j5]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): 257-278 (2014) - 2013
- [j4]Joseph R. Barr:
Guest Editor's Introduction. Int. J. Semantic Comput. 7(2): 119-120 (2013) - [j3]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): 147-156 (2013) - [j2]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): 157-172 (2013) - [j1]Joseph R. Barr, Afrooz Jahedi, Mahroo Ehsani:
Support Vectors Machine: a Tutorial with R. Int. J. Semantic Comput. 7(2): 185-204 (2013)
Conference and Workshop Papers
- 2022
- [c15]Peter Shaw, Joseph R. Barr, Faisal N. Abu-Khzam:
Anomaly Detection via Correlation Clustering. ICSC 2022: 307-313 - [c14]Joseph R. Barr, Tyler Thatcher:
On the Vulnerability of Large Corpora Source Code. ICSC 2022: 314-317 - [c13]Joseph R. Barr, Marcus Sobel, Tyler Thatcher:
Upsampling, a comparative study with new ideas. ICSC 2022: 318-321 - [c12]Joseph R. Barr, Toby Dylan Hocking, Garinn Morton, Tyler Thatcher, Peter Shaw:
Classifying Imbalanced Data with AUM Loss. TransAI 2022: 135-141 - [c11]Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Toby Dylan Hocking:
Graph Embedding: A Methodological Survey. TransAI 2022: 142-148 - [c10]Toby Dylan Hocking, Joseph R. Barr, Tyler Thatcher:
Interpretable linear models for predicting security vulnerabilities in source code. TransAI 2022: 149-155 - 2021
- [c9]Faisal N. Abu-Khzam, Joseph R. Barr, Amin Fakhereldine, Peter Shaw:
A Greedy Heuristic for Cluster Editing with Vertex Splitting. AI4I 2021: 38-41 - 2020
- [c8]Joseph R. Barr, Daniela D'Auria, Fabio Persia:
Telemedicine, Homecare in the Era of COVID-19 & Beyond. AI4I 2020: 48-51 - 2019
- [c7]Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Jikang Chen:
Combinatorial Text Classification: the Effect of Multi-Parameterized Correlation Clustering. GC 2019: 29-36 - 2018
- [c6]Joseph R. Barr, Peter Shaw:
AI Application to Data Analysis, Automatic File Processing. AI4I 2018: 100-105 - [c5]Joseph R. Barr:
Machine Learning, A Tutorial with R. AI4I 2018: 120-121 - 2017
- [c4]Jawadul H. Bappy, Joseph R. Barr, Narayanan Srinivasan, Amit K. Roy-Chowdhury:
Real Estate Image Classification. WACV 2017: 373-381 - 2016
- [c3]Moloud Shahbazi, Joseph R. Barr, Vagelis Hristidis, Nani Narayanan Srinivasan:
Estimation of the Investability of Real Estate Properties through Text Analysis. ICSC 2016: 301-306 - 2014
- [c2]Dimitri Popolov, Joseph R. Barr:
"Units of Meaning" in Medical Documents: Natural Language Processing Perspective. ICSC 2014: 320-323 - [c1]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: 324-329
Reference Works
- 1999
- [r2]Joseph R. Barr, Peter R. Turner, Patrick Jaillet, Vidyadhar G. Kulkarni, Lawrence M. Leemis:
Discrete Probability. Handbook of Discrete and Combinatorial Mathematics 1999 - [r1]Beth Novick, S. Louis Hakimi, Sunil Chopra, David Simchi-Levi, Salah E. Elmaghraby, Michael Mesterton-Gibbons, Joseph R. Barr:
Discrete Optimization. Handbook of Discrete and Combinatorial Mathematics 1999
Informal and Other Publications
- 2021
- [i2]Joseph R. Barr, Peter Shaw, Marcus Sobel:
The Variability of Model Specification. CoRR abs/2110.02490 (2021) - [i1]Joseph R. Barr, Peter Shaw, Tyler Thatcher:
Vulnerability Analysis of the Android Kernel. CoRR abs/2112.11214 (2021)
Coauthor Index
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