A temporal disaggregation model is usually used to derive sub-daily (like hourly) distributions of weather variables from daily scale. kNN_MOF_CP is a non-parametric disaggregation procedure developed ...
A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the Conjunctiva
Abstract: Medical practice for determining haemoglobin (Hb) concentration, which is important for anemic patients in need of blood transfusion, requires a blood sample. In this paper, we propose a non ...
Abstract: Customer retention is a major issue for various service-based organizations particularly telecom industry, wherein predictive models for observing the behavior of customers are one of the ...
Yann LeCun (Courant Institute, NYU) and Corinna Cortes (Google Labs, New York) hold the copyright of MNIST dataset, which is a derivative work from the original NIST datasets. The MNIST database of ...
Malicious domains are one of the major threats that have jeopardized the viability of the Internet over the years. Threat actors usually abuse the Domain Name System (DNS) to lure users to be victims ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martin Kleppmann, an associate professor at ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...
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For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...
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