Results 1 to 10 of about 47,090 (152)
Large-scale audio dataset for emergency vehicle sirens and road noises
Scientific Data, 2022 Measurement(s) Ambulance Siren and Road Noises. (Recordings) Technology Type(s) Microphone Sample Characteristic - Environment Roads Sample Characteristic - Location ...
Muhammad Asif +5 more
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Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure
IEEE Access, 2023 Currently, studies involving a digital twin are gaining widespread interest. While the first fields adopting such a concept were in manufacturing and engineering, lately, interest extends also beyond these fields across all academic disciplines.
Frank Emmert-Streib +2 more
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Tuning Fairness by Balancing Target Labels
Frontiers in Artificial Intelligence, 2020 The issue of fairness in machine learning models has recently attracted a lot of attention as ensuring it will ensure continued confidence of the general public in the deployment of machine learning systems.
Thomas Kehrenberg +3 more
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Predictive analytics and the targeting of audits [PDF]
Journal of Economic Behavior & Organization, 2016 The literature on audit strategies has focused on random audits or on audits conditioned only on income declaration. In contrast, tax authorities employ the tools of predictive analytics to identify taxpayers for audit, with a range of variables used for conditioning.
Hashimzade, N. +2 more
openaire +5 more sources
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020 Background More than 500 000 sudden cardiac arrests (SCAs) occur annually in the United States. Clinical predictive models (CPMs) may be helpful tools to differentiate between patients who are likely to survive or have good neurologic recovery and those ...
Richard T. Carrick +7 more
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Scientific Reports, 2022 The aim of this study was to derive a model to predict the risk of dogs developing chronic kidney disease (CKD) using data from electronic health records (EHR) collected during routine veterinary practice. Data from 57,402 dogs were included in the study.
Yiannis Kokkinos +9 more
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Privacy tradeoffs in predictive analytics [PDF]
The 2014 ACM international conference on Measurement and modeling of computer systems, 2014 Online services routinely mine user data to predict user preferences, make recommendations, and place targeted ads. Recent research has demonstrated that several private user attributes (such as political affiliation, sexual orientation, and gender) can be inferred from such data.
Stratis Ioannidis +5 more
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Predictive Analytics for Students Performance Prediction
International Journal of Recent Technology and Engineering (IJRTE), 2020 Personalized learning is being popular due to digitizations that enable a large number of technologies to support it. To predict students’ learning abilities, it is necessary to estimate their behavior to know about their weaknesses and strengths. If it is possible for teachers to predict in advance at-risk and dropout students, they can plan more ...
Palwinder Kaur Mangat +1 more
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Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning
Scientific Reports, 2021 The identification of prognostic biomarkers for predicting cancer progression is an important problem for two reasons. First, such biomarkers find practical application in a clinical context for the treatment of patients.
Kalifa Manjang +5 more
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Threshold-Learned CNN for Multi-Label Text Classification of Electronic Health Records
IEEE Access, 2023 Text data in the form of natural language is a valuable resource that contains domain-specific information applicable to various applications. An example are electronic health records (eHR) offering comprehensive insights into patients’ health ...
Zhen Yang, Frank Emmert-Streib
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