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Aron Szanto
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A kernel of truth: Determining rumor veracity on twitter by diffusion pattern alone
N Rosenfeld, A Szanto, DC Parkes
Proceedings of The Web Conference 2020, 1018-1028, 2020
562020
A spatiotemporal epidemic model to quantify the effects of contact tracing, testing, and containment
L Lorch, W Trouleau, S Tsirtsis, A Szanto, B Schölkopf, ...
462020
Quantifying the effects of contact tracing, testing, and containment measures in the presence of infection hotspots
L Lorch, H Kremer, W Trouleau, S Tsirtsis, A Szanto, B Schölkopf, ...
ACM Transactions on Spatial Algorithms and Systems 8 (4), 1-28, 2022
332022
Taint tracking for webassembly
A Szanto, T Tamm, A Pagnoni
arXiv preprint arXiv:1807.08349, 2018
282018
A spatiotemporal epidemic model to quantify the effects of contact tracing
L Lorch, W Trouleau, S Tsirtsis, A Szanto, B Schölkopf, ...
Testing, and Containment, 2020
92020
The skiplist-based LSM tree
A Szanto
arXiv preprint arXiv:1809.03261, 2018
22018
A host of troubles: Re-identifying Airbnb hosts using public data
A Szanto, N Mehta
Technology Science. Oct, 2018
22018
Defuse the News: Predicting Misinformation and Bias in News on Social Networks via Content-Blind Learning
A Szanto
12018
Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots (preprint)
L Lorch, H Kremer, W Trouleau, S Tsirtsis, A Szanto, B Schölkopf, ...
2020
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone
A Szanto, N Rosenfeld, DC Parkes
arXiv, arXiv: 2002.00850, 2020
2020
On the Flip Side: Identifying Counterexamples in Visual Question Answering
G Grand, A Szanto, Y Kim, A Rush
arXiv preprint arXiv:1806.00857, 2018
2018
Content-Blind Learning on Social Networks
A Szanto
Harvard University, 2017
2017
Modeling Large-Scale Collaboration on GitHub
A Szanto, S Gehrmann
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Articles 1–13