S. Tomkins

Publications
Influence

Predicting Post-Test Performance from Online Student Behavior : A High School MOOC Case Study

S. Tomkins, Arti Ramesh, L. Getoor
2016

With the success and proliferation of Massive Open Online Courses (MOOCs) for college curricula, there is demand for adapting this modern mode of education for high school courses. Online and open… Expand

Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study

S. Tomkins, Arti Ramesh, L. Getoor
Psychology, Computer Science
EDM
2016

In this paper, we analyze student post-test performance to determine the success of a high school computer science MOOC, which we treat as a post test. Expand

A Socio-linguistic Model for Cyberbullying Detection

S. Tomkins, L. Getoor, Yunfei Chen, Yi Zhang
Computer Science
IEEE/ACM International Conference on Advances in…
1 August 2018

We propose a socio-linguistic model which detects cyberbullying content in messages, discovers latent text categories, identifies participant roles and exploits social interactions. Expand

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach

S. Tomkins, J. Pujara, L. Getoor
Computer Science
IJCAI
1 August 2017

We introduce a probabilistic framework which infers the energy consumption of individual appliances using a hinge-loss Markov random field (HL-MRF), which admits highly scalable inference. Expand

Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations

S. Tomkins, S. Isley, Ben London, L. Getoor
Computer Science
RecSys
27 September 2018

We propose a probabilistic framework that uses domain knowledge to identify sustainable products and customers, and uses these labels to predict customer purchases. Expand

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data

S. Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, S. Murphy
Computer Science, Mathematics
ArXiv
23 February 2020

We present IntelligentPooling, which learns personalized policies via an adaptive, principled use of other users' data. Expand

The Impact of Environmental Stressors on Human Trafficking

S. Tomkins, G. Farnadi, Brian Amanatullah, L. Getoor, Steven Minton
Computer Science
IEEE International Conference on Data Mining…
1 November 2018

We investigate the potential impact of catastrophic storms on the criminal activity of human trafficking and provide evidence for each. Expand

Intelligent Pooling in Thompson Sampling for Rapid Personalization in Mobile Health

S. Tomkins, Peng Liao, Serena Yeung, Predrag V. Klasnja, S. Murphy
Computer Science
30 April 2019

We use the data collected from a real-world mobile health study to build a generative model and evaluate the proposed algorithm in comparison with two natural alternatives: learning the treatment policy separately per person and learning a single treatment policy for all people. Expand

IntelligentPooling: Practical Thompson Sampling for mHealth

S. Tomkins, Peng Liao, Predrag V. Klasnja, S. Murphy
Computer Science, Mathematics
ArXiv
31 July 2020

In mobile health (mHealth) smart devices deliver behavioral treatments repeatedly over time to a user with the goal of helping the user adopt and maintain healthy behaviors. Expand

Detecting Cyber-bullying from Sparse Data and Inconsistent Labels

S. Tomkins, L. Getoor, Y. Chen, Y. Zhang
2017

May 2017 Proposed Thesis: Probabilistic Methods for Data-Driven Social Good UC Santa Cruz, Santa Cruz Qualifying Exam Committee: Lise Getoor, Brent Haddad, John Musacchio, Rayid Ghani January 2013… Expand

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