Catalin Voss

Stanford University - Department of Computer Science

Stanford, CA 94305

United States

SCHOLARLY PAPERS

2

DOWNLOADS

623

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Scholarly Papers (2)

1.

The Recon Approach: A New Direction for Machine Learning in Criminal Law

Berkeley Technology Law Journal, Vol. 37
Number of pages: 39 Posted: 27 Apr 2021
Kristen Bell, Jenny Hong, Nick McKeown and Catalin Voss
University of Oregon School of Law, affiliation not provided to SSRN, Stanford University, Department of Computer Science and Stanford University - Department of Computer Science
Downloads 581 (84,796)
Citation 2

Abstract:

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Machine Learning, Natural Language Processing, Criminal Law, Legal Analytics, Criminal Justice

2.

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence

Number of pages: 24 Posted: 12 Jan 2021
Stanford University - Department of Bioengineering, Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Computer Science Department, Stanford University - Department of Electrical Engineering, Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Computer Science Department, Stanford University - Department of Neuroscience, Stanford University - Department of Bioengineering, Stanford University - Department of Biomedical Data Science, Stanford University - Department of Biomedical Data Science, Stanford University - Department of Pediatrics (Systems Medicine), Stanford University - Department of Computer Science, Stanford University - Graduate School of Education and Stanford University - Department of Pediatrics (Systems Medicine)
Downloads 42 (737,336)

Abstract:

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