Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Payam Karisani"'
Autor:
Chen Lin, Safoora Yousefi, Elvis Kahoro, Payam Karisani, Donghai Liang, Jeremy Sarnat, Eugene Agichtein
Publikováno v:
JMIR Formative Research, Vol 6, Iss 12, p e23422 (2022)
BackgroundReal-time air pollution monitoring is a valuable tool for public health and environmental surveillance. In recent years, there has been a dramatic increase in air pollution forecasting and monitoring research using artificial neural network
Externí odkaz:
https://doaj.org/article/e17d89d88efd429a89b54a067f8d4fc1
Autor:
Chen Lin, Safoora Yousefi, Elvis Kahoro, Payam Karisani, Donghai Liang, Jeremy Sarnat, Eugene Agichtein
BACKGROUND Real-time air pollution monitoring is a valuable tool for public health and environmental surveillance. In recent years, there has been a dramatic increase in air pollution forecasting and monitoring research using artificial neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b8a1f48861186983d97a013ea1236f0
https://doi.org/10.2196/preprints.23422
https://doi.org/10.2196/preprints.23422
Autor:
Negin Karisani, Payam Karisani
Publikováno v:
WSDM
We present a neural semi-supervised learning model termed Self-Pretraining. Our model is inspired by the classic self-training algorithm. However, as opposed to self-training, Self-Pretraining is threshold-free, it can potentially update its belief a
Publikováno v:
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task.
We present an algorithm based on multi-layer transformers for identifying Adverse Drug Reactions (ADR) in social media data. Our model relies on the properties of the problem and the characteristics of contextual word embeddings to extract two views
Publikováno v:
WWW
Mining social media content for tasks such as detecting personal experiences or events, suffer from lexical sparsity, insufficient training data, and inventive lexicons. To reduce the burden of creating extensive labeled data and improve classificati
Publikováno v:
Journal of Information Science. 42:659-674
Opinion leaders are the influential people who are able to shape the minds and thoughts of other people in their society. Finding opinion leaders is an important task in various domains ranging from marketing to politics. In this paper, a new effecti
Publikováno v:
Information Processing & Management. 52:478-489
A query term re-weighting method to reformulate textual queries is proposed.Our approach is a local query modification method.We use the information carried by the top documents in relation to each other.Query term re-weighting can applied to short q
Publikováno v:
Database: The Journal of Biological Databases and Curation
The bioCADDIE dataset retrieval challenge brought together different approaches to retrieval of biomedical datasets relevant to a user’s query, expressed as a text description of a needed dataset. We describe experiments in applying a data-driven,
Autor:
Payam Karisani, Eugene Agichtein
Publikováno v:
WWW
Millions of users share their experiences on social media sites, such as Twitter, which in turn generate valuable data for public health monitoring, digital epidemiology, and other analyses of population health at global scale. The first, critical, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed6cc4d3a49516130d579f8d92ac8362