Christian J. Mahoney

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Selection Strategies

Electronic Documents

Active Learning Strategies

Predictive Coding

Top Venues

LegalAIIA@ICAIL

Publications

Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. CoRR (2023)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao
Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. BigData (2023)
Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. Big Data (2022)
Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. CoRR (2021)
Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. IEEE BigData (2020)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL (2019)
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
A Framework for Explainable Text Classification in Legal Document Review. CoRR (2019)
Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
A Framework for Explainable Text Classification in Legal Document Review. IEEE BigData (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR (2019)
Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData (2018)