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2020 – today
- 2025
[j2]Nathan Fox, Enrico Di Minin, Neil Carter, Sabina Tomkins, Derek B. van Berkel:
Balancing accessibility and security: Safeguarding citizen-sourced biodiversity data in the age of AI and open-sourced software. Ecol. Informatics 92: 103443 (2025)- [c11]Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins:
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework. AAAI 2025: 28520-28529 - [c10]Melanie Walsh
, Connor Rey, Chang Ge, Tina Nowak, Sabina Tomkins:
Algorithms in the Stacks: Investigating automated, for-profit diversity audits in public libraries. FAccT 2025: 2071-2086 - [c9]Jason Yan, Kerri Milita, Yanna Krupnikov, Sabina Tomkins:
What Do You Learn About Hard News from Soft News Outlets - A Case Study from People Magazine Online. ICWSM 2025: 2089-2105 - [i13]Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer, Sabina Tomkins:
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government. CoRR abs/2503.11743 (2025) - [i12]Melanie Walsh, Connor Franklin Rey, Chang Ge, Tina Nowak, Sabina Tomkins:
Algorithms in the Stacks: Investigating automated, for-profit diversity audits in public libraries. CoRR abs/2505.14890 (2025) - [i11]Sabina Tomkins, David Rothschild, Alex Liu, Alexander Thompson:
Identity isn't everything - how far do demographics take us towards self-identified party ID? CoRR abs/2507.06193 (2025) - [i10]Chang Ge, Justine Zhang, Haofei Xu, Yanna Krupnikov, Jenna Bednar, Sabina Tomkins:
What does the public want their local government to hear? A data-driven case study of public comments across the state of Michigan. CoRR abs/2507.18431 (2025) - [i9]Tianliang Xu, Ariel Hasell, Sabina Tomkins:
Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media. CoRR abs/2508.16453 (2025) - [i8]Sabina Tomkins, Chang Ge, David Rothschild:
How candidates evoke identity and issues on TikTok. CoRR abs/2509.05310 (2025) - 2024
- [c8]Tong Lin, Jason Yan, David Jurgens, Sabina Tomkins:
Tab2Text - A framework for deep learning with tabular data. EMNLP (Findings) 2024: 12925-12935 - 2023
- [c7]Tong Lin, Tianliang Xu, Amit Zac, Sabina Tomkins:
SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. IJCAI 2023: 6067-6075 - [i7]Joshua Grossman, Sabina Tomkins, Lindsay Page, Sharad Goel:
The Disparate Impacts of College Admissions Policies on Asian American Applicants. CoRR abs/2308.04449 (2023) - 2022
- [i6]Raaz Dwivedi, Katherine Tian, Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy, Devavrat Shah:
Doubly robust nearest neighbors in factor models. CoRR abs/2211.14297 (2022) - 2021
- [j1]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
IntelligentPooling: practical Thompson sampling for mHealth. Mach. Learn. 110(9): 2685-2727 (2021) - 2020
- [i5]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy:
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR abs/2002.09971 (2020) - [i4]Marianne Menictas, Sabina Tomkins, Susan A. Murphy:
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health. CoRR abs/2003.12881 (2020) - [i3]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
IntelligentPooling: Practical Thompson Sampling for mHealth. CoRR abs/2008.01571 (2020) - [i2]Marianne Menictas, Sabina Tomkins, Susan A. Murphy:
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health. CoRR abs/2012.11646 (2020)
2010 – 2019
- 2018
- [b1]Sabina Tomkins:
Probabilistic Methods for Data-Driven Social Good. University of California, Santa Cruz, USA, 2018 - [c6]Sabina Tomkins, Lise Getoor, Yunfei Chen, Yi Zhang:
A Socio-linguistic Model for Cyberbullying Detection. ASONAM 2018: 53-60 - [c5]Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton:
The Impact of Environmental Stressors on Human Trafficking. ICDM 2018: 507-516 - [c4]Sabina Tomkins, Steven Isley, Ben London, Lise Getoor:
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. RecSys 2018: 214-218 - [i1]Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy:
Personalizing Intervention Probabilities By Pooling. CoRR abs/1812.00463 (2018) - 2017
- [c3]Sabina Tomkins, Jay Pujara, Lise Getoor:
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. IJCAI 2017: 2857-2863 - 2016
- [c2]Sabina Tomkins, Arti Ramesh, Lise Getoor:
Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. EDM 2016: 239-246 - 2015
- [c1]Sabina Tomkins, Lise Getoor:
Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. BuildSys 2015: 117-118
Coauthor Index
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last updated on 2025-11-01 22:22 CET by the dblp team
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