output
20162024
most citedMaking brain-machine interfaces robust to future neural variability

231 citations

7 papers

cs.LG2022

Improving debris flow evacuation alerts in Taiwan using machine learning

Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi +3

Taiwan has the highest susceptibility to and fatalities from debris flows worldwide. The existing debris flow warning system in Taiwan, which uses a time-weighted measure of rainfa…

q-bio.PE2022

Effective approaches to disaster evacuation during a COVID-like pandemic

Yi-Lin Tsai, Dymasius Y. Sitepu, Karyn E. Chappell +4

Since COVID-19 vaccines became available, no studies have quantified how different disaster evacuation strategies can mitigate pandemic risks in shelters. Therefore, we applied an…

cs.CL20216 cited

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

Gengchen Mai, Krzysztof Janowicz, Rui Zhu +2

As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at generating answers to questions phrased in natural language. While there has been substantial…

cs.MM2020

Study On Coding Tools Beyond Av1

Xin Zhao, Liang Zhao, Madhu Krishnan +5

The Alliance for Open Media has recently initiated coding tool exploration activities towards the next-generation video coding beyond AV1. With this regard, this paper presents a p…

cs.LG20192 cited

The accuracy vs. coverage trade-off in patient-facing diagnosis models

Anitha Kannan, Jason Alan Fries, Eric Kramer +3

A third of adults in America use the Internet to diagnose medical concerns, and online symptom checkers are increasingly part of this process. These tools are powered by diagnosis…

cond-mat.mes-hall201955 cited

Voltage gated inter-cation selective ion channels from graphene nanopores

Lauren Cantley, Jacob L. Swett, David Lloyd +8

With the ability to selectively control ionic flux, biological protein ion channels perform a fundamental role in many physiological processes. For practical applications that requ…