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2020 – today
- 2023
[c5]Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho:
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. AAAI 2023: 5087-5095- 2022
- [j2]Caleb Robinson
, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7458-7471 (2022) - [c4]Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho:
Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy. CSLAW 2022: 87-100 - [i6]Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho:
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. CoRR abs/2204.11910 (2022) - 2021
- [j1]Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho:
Enhancing environmental enforcement with near real-time monitoring: Likelihood-based detection of structural expansion of intensive livestock farms. Int. J. Appl. Earth Obs. Geoinformation 103: 102463 (2021) - [c3]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS 2021: 138-146 - [c2]Elinor Benami, Reid Whitaker, Vincent La, Hongjin Lin, Brandon R. Anderson, Daniel E. Ho:
The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy. FAccT 2021: 90-105 - [c1]Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho:
When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings. ICAIL 2021: 159-168 - [i5]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR abs/2103.09787 (2021) - [i4]Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho:
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. CoRR abs/2104.08671 (2021) - [i3]Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho:
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms. CoRR abs/2105.14159 (2021) - [i2]Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho:
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy. CoRR abs/2112.06833 (2021) - [i1]Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR abs/2112.10988 (2021)
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