Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dorcas Ofori-Boateng"'
Publikováno v:
Frontiers in Environmental Science, Vol 9 (2021)
Topological data analysis (TDA) combines concepts from algebraic topology, machine learning, statistics, and data science which allow us to study data in terms of their latent shape properties. Despite the use of TDA in a broad range of applications,
Externí odkaz:
https://doaj.org/article/23d1921e4c484b01b29adc47cc05ab87
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:15262-15269
While deep learning tools, coupled with the emerging machinery of topological data analysis, are proven to deliver various performance gains in a broad range of applications, from image classification to biosurveillance to blockchain fraud detection,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4d1b47d02bd56a97e8d737a17e83988
https://doi.org/10.1609/aaai.v35i17.17791
https://doi.org/10.1609/aaai.v35i17.17791
Publikováno v:
Sustainable and Resilient Infrastructure. 6:26-41
Due to increasing threats on power systems from various extreme events such as adverse weather and cyber/physical attacks, research on power grid resilience is recently gaining a substantial tracti...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3c27917770fc427336e547c32901a31
https://doi.org/10.1080/23789689.2019.1708182
https://doi.org/10.1080/23789689.2019.1708182
Autor:
I. Segovia Dominguez, Yulia R. Gel, Murat Kantarcioglu, Cuneyt Gurcan Akcora, Dorcas Ofori-Boateng
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030864859
ECML/PKDD (1)
ECML/PKDD (1)
Motivated by the recent surge of criminal activities with cross-cryptocurrency trades, we introduce a new topological perspective to structural anomaly detection in dynamic multilayer networks. We postulate that anomalies in the underlying blockchain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22989ee548fe4ff98856759efb71228
https://doi.org/10.1007/978-3-030-86486-6_48
https://doi.org/10.1007/978-3-030-86486-6_48
Identifying change points and/or anomalies in dynamic network structures has become increasingly popular across various domains, from neuroscience to telecommunication to finance. One of the particular objectives of the anomaly detection task from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a1799655a52213baddc1114514b6d3
Publikováno v:
DSW
Understanding the structural properties of the power grids under different disruptive event scenarios is the key towards improvement of the security, reliability, and efficiency of modern power systems. In this pilot study, the concepts of topologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d79c19eaede2417c60214e64f63b827d
https://doi.org/10.1109/dsw.2019.8755787
https://doi.org/10.1109/dsw.2019.8755787