Zobrazeno 1 - 10 of 28 pro vyhledávání: '"Artem Lenskiy"'
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Akademický článek
What Does Eye-Blink Rate Variability Dynamics Tell Us About Cognitive Performance?
Autor: Rafal Paprocki, Artem Lenskiy
Publikováno v: Frontiers in Human Neuroscience, Vol 11 (2017)
Cognitive performance is defined as the ability to utilize knowledge, attention, memory, and working memory. In this study, we briefly discuss various markers that have been proposed to predict cognitive performance. Next, we develop a novel approach
Externí odkaz: https://doaj.org/article/006e9f5561564532af467e57677c0c58
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3
Neural Network–Based Financial Volatility Forecasting: A Systematic Review
Autor: Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Artem Lenskiy, Hanna Suominen
Publikováno v: ACM Computing Surveys. 55:1-30
Volatility forecasting is an important aspect of finance as it dictates many decisions of market players. A snapshot of state-of-the-art neural network–based financial volatility forecasting was generated by examining 35 studies, published after 20
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd41bb7af56cb01395b3d0bb832c6acb
https://doi.org/10.1145/3483596
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7
Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers
Autor: Sandaru, Seneviratne, Artem, Lenskiy, Christopher, Nolan, Eleni, Daskalaki, Hanna, Suominen
Publikováno v: Studies in health technology and informatics. 284
Complexity and domain-specificity make medical text hard to understand for patients and their next of kin. To simplify such text, this paper explored how word and character level information can be leveraged to identify medical terms when training da
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a86b914fb6d46a420677e421f1eff21b
https://pubmed.ncbi.nlm.nih.gov/34920520
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8
A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning
Autor: Ran, Cui, Elena, Daskalaki, Md Zakir, Hossain, Artem, Lenskiy, Christopher J, Nolan, Hanna, Suominen
Publikováno v: Studies in health technology and informatics. 284
Diabetes can be diagnosed by either Fasting Plasma Glucose or Hemoglobin A1c. The aim of our study was to explore the differences between the two criteria through the development of a machine learning based diabetes diagnostic algorithm and analysing
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b6b92b4af2e854299b0114176f82e8fb
https://pubmed.ncbi.nlm.nih.gov/34920463
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9
Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers
Autor: Sandaru Seneviratne, Artem Lenskiy, Christopher Nolan, Eleni Daskalaki, Hanna Suominen
Complexity and domain-specificity make medical text hard to understand for patients and their next of kin. To simplify such text, this paper explored how word and character level information can be leveraged to identify medical terms when training da
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::036c7178b9b22ececca58cd9c1a30667
https://doi.org/10.3233/shti210717
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10
A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning
Autor: Ran Cui, Elena Daskalaki, Md Zakir Hossain, Artem Lenskiy, Christopher J Nolan, Hanna Suominen
Diabetes can be diagnosed by either Fasting Plasma Glucose or Hemoglobin A1c. The aim of our study was to explore the differences between the two criteria through the development of a machine learning based diabetes diagnostic algorithm and analysing
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76f072fd2469d89ae4d1bba15eaf059b
https://doi.org/10.3233/shti210657
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