Christian J. Mahoney

According to our database, Christian J. Mahoney authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets.

Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets.

Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images.

Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding.

Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye

Proceedings of the First Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

A Framework for Explainable Text Classification in Legal Document Review.

Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding.

Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018