Nathaniel Huber-Fliflet
Nathaniel Huber-Fliflet
Ankura Consulting Group
Verified email at ankura.com
Title
Cited by
Cited by
Year
Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness
R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao
2016 IEEE International Conference on Big Data (Big Data), 1394-1401, 2016
122016
Empirical evaluations of active learning strategies in legal document review
R Chhatwal, N Huber-Fliflet, R Keeling, J Zhang, H Zhao
2017 IEEE International Conference on Big Data (Big Data), 1428-1437, 2017
62017
Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding
R Chhatwal, P Gronvall, N Huber-Fliflet, R Keeling, J Zhang, H Zhao
2018 IEEE International Conference on Big Data (Big Data), 1905-1911, 2018
52018
An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters
P Gronvall, N Huber-Fliflet, J Zhang, R Keeling, R Neary, H Zhao
2018 IEEE International Conference on Big Data (Big Data), 3282-3291, 2018
22018
Using Machine Learning on Legal Matters: Paying Attention to the Data Behind the Curtain
R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, H Zhao
Hastings Sci. & Tech. LJ 11, 9, 2020
12020
A Framework for Explainable Text Classification in Legal Document Review
CJ Mahoney, J Zhang, N Huber-Fliflet, P Gronvall, H Zhao
2019 IEEE International Conference on Big Data (Big Data), 1858-1867, 2019
12019
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding
CJ Mahoney, N Huber-Fliflet, K Jensen, H Zhao, R Neary, S Ye
2018 IEEE International Conference on Big Data (Big Data), 3292-3301, 2018
12018
Separating the Privileged Wheat from the Chaff-Using Text Analytics and Machine Learning to Protect Attorney-Client Privilege
R Keeling, N Huber-Fliflet, J Zhang, RP Chhatwal
Rich. JL & Tech. 25, 1, 2018
12018
Image Analytics for Legal Document Review: A Transfer Learning Approach
N Huber-Fliflet, F Wei, H Zhao, H Qin, S Ye, A Tsang
2019 IEEE International Conference on Big Data (Big Data), 4325-4328, 2019
2019
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review
R Keeling, R Chhatwal, N Huber-Fliflet, J Zhang, F Wei, H Zhao, Y Shi, ...
2019 IEEE International Conference on Big Data (Big Data), 2038-2042, 2019
2019
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding
CJ Mahoney, N Huber-Fliflet, H Zhao, J Zhang, P Gronvall, S Ye
arXiv preprint arXiv:1906.04367, 2019
2019
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Articles 1–11