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Maura R. Grossman
Maura R. Grossman
Research Professor, University of Waterloo
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
Technology-assisted review in e-discovery can be more effective and more efficient than exhaustive manual review
MR Grossman, GV Cormack
Rich. JL & Tech. 17, 1, 2010
3732010
Evaluation of machine-learning protocols for technology-assisted review in electronic discovery
GV Cormack, MR Grossman
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
2002014
Artificial intelligence as evidence
PW Grimm, MR Grossman, GV Cormack
Nw. J. Tech. & Intell. Prop. 19, 9, 2021
1662021
Grossman-cormack glossary of technology-assisted review, the
MR Grossman, GV Cormack
Fed. Cts. L. Rev. 7, 85, 2014
1272014
Engineering quality and reliability in technology-assisted review
GV Cormack, MR Grossman
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
1132016
Autonomy and reliability of continuous active learning for technology-assisted review
GV Cormack, MR Grossman
arXiv preprint arXiv:1504.06868, 2015
1122015
TREC 2016 Total Recall Track Overview.
MR Grossman, GV Cormack, A Roegiest
TREC, 2016
1032016
Scalability of continuous active learning for reliable high-recall text classification
GV Cormack, MR Grossman
Proceedings of the 25th ACM international on conference on information and …, 2016
992016
Preventing the transmission of COVID-19 and other coronaviruses in older adults aged 60 years and above living in long-term care: a rapid review
P Rios, A Radhakrishnan, C Williams, N Ramkissoon, B Pham, ...
Systematic Reviews 9 (1), 218, 2020
932020
Overview of the TREC 2010 legal track.
GV Cormack, MR Grossman, B Hedin, DW Oard
TREC, 2010
882010
The GPTJudge: Justice in a generative AI world
MR Grossman, PW Grimm, DG Brown, M Xu
Duke L. & Tech. Rev. 23, 1, 2023
832023
TREC 2015 Total Recall Track Overview.
A Roegiest, GV Cormack, CLA Clarke, MR Grossman
TREC, 2015
712015
Systems and methods for classifying electronic information using advanced active learning techniques
GV Cormack, MR Grossman
US Patent 8,838,606, 2014
682014
A system for efficient high-recall retrieval
M Abualsaud, N Ghelani, H Zhang, MD Smucker, GV Cormack, ...
The 41st international ACM SIGIR conference on research & development in …, 2018
632018
Is disclosure and certification of the use of generative AI really necessary?
MR Grossman, PW Grimm, DG Brown
Judicature 107, 68, 2023
592023
Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2017.
GV Cormack, MR Grossman
CLEF (working notes) 11, 1-15, 2017
492017
Systems and methods for classifying electronic information using advanced active learning techniques
GV Cormack, MR Grossman
US Patent 9,122,681, 2015
472015
Comments on “The implications of Rule 26 (g) on the use of technology-assisted review”
MR Grossman, GV Cormack
Federal Courts Law Review 1, 2014
422014
Evaluating sentence-level relevance feedback for high-recall information retrieval
H Zhang, GV Cormack, MR Grossman, MD Smucker
Information Retrieval Journal 23 (1), 1-26, 2020
362020
Effective user interaction for high-recall retrieval: Less is more
H Zhang, M Abualsaud, N Ghelani, MD Smucker, GV Cormack, ...
Proceedings of the 27th ACM international conference on information and …, 2018
362018
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