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Now showing items 31-36 of 36
DL-CRC: Deep learning-based chest radiograph classification for covid-19 detection: A novel approach
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such ...
COVID-19 Optimizer Algorithm, Modeling and Controlling of Coronavirus Distribution Process
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The emergence of novel COVID-19 is causing an overload on public health sector and a high fatality rate. The key priority is to contain the epidemic and reduce the infection rate. It is imperative to stress on ensuring ...
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets
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Association for Computational Linguistics (ACL)
, 2020 , Conference Paper)
The widespread usage of Twitter during emergencies has provided a new opportunity and timely resource to crisis responders for various disaster management tasks. Geolocation information of pertinent tweets is crucial for ...
Annotator rationales for labeling tasks in crowdsourcing
(
Elsevier
, 2020 , Article)
When collecting item ratings from human judges, it can be difficult to measure and enforce data quality due to task subjectivity and lack of transparency into how judges make each rating decision. To address this, we ...
Efficient Test Collection Construction via Active Learning
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Association for Computing Machinery
, 2020 , Conference Paper)
To create a new IR test collection at low cost, it is valuable to carefully select which documents merit human relevance judgments. Shared task campaigns such as NIST TREC pool document rankings from many participating ...
ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales
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Association for Computing Machinery, Inc
, 2020 , Conference Paper)
The scarcity of Arabic test collections has long hindered information retrieval (IR) research over the Arabic Web. In this work, we present ArTest, the first large-scale test collection designed for the evaluation of ad-hoc ...