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Yulia R. Gel
University of Texas at Dallas
75Publications
15H-index
1,142Citations
Publications 80
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ABSTRACTDue 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 substantia...
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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 the neuroscience perspective is the reconstruction of the dynamic manner of brain region interactions. However, most statistical methods for detecting anomalies have the following unrealistic limitation for brain studies and beyond: that is, network sn...
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#1Yahui Tian (UTD: University of Texas at Dallas)H-Index: 1
#2Yulia R. Gel (UTD: University of Texas at Dallas)H-Index: 15
Abstract A new nonparametric supervised algorithm is proposed for detecting multiple communities in complex networks using the Depth vs. Depth (DD(G)) classifier. The key idea behind the new clustering method is the notion of robust and data-driven data depth methodology that still remains new and unexplored in network sciences. The developed new DD(G)-method is inherently geometric and allows to simultaneously account for network communities and outliers. Although the data-based classifier oper...
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#1Azar Ghahari (BU: Boston University)H-Index: 1
#2Nathaniel K. Newlands (AAFC: Agriculture and Agri-Food Canada)H-Index: 9
Last.Yulia R. Gel (UTD: University of Texas at Dallas)H-Index: 15
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Challenges in risk estimation for agricultural insurance bring to the fore statistical problems of modeling complex weather and climate dynamics, analyzing massive multi-resolution, multi-source da...
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#1Asim Kumer Dey (UTD: University of Texas at Dallas)H-Index: 2
#2Yulia R. Gel (UTD: University of Texas at Dallas)H-Index: 15
Last.H. Vincent Poor (Princeton University)H-Index: 98
view all 3 authors...
Network motifs are often called the building blocks of networks. Analysis of motifs has been found to be an indispensable tool for understanding local network structure, in contrast to measures based on node degree distribution and its functions that primarily address a global network topology. As a result, networks that are similar in terms of global topological properties may differ noticeably at a local level. This phenomenon of the impact of local structure has been recently documented in ne...
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#1Marwah Soliman (UTD: University of Texas at Dallas)H-Index: 1
#2Vyacheslav Lyubchich (UMCES: University of Maryland Center for Environmental Science)H-Index: 4
Last.Yulia R. Gel (UTD: University of Texas at Dallas)H-Index: 15
view all 3 authors...
Abstract Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most currently available methods for influenza prediction are based on parametric time series and regression models that impose restrictive and often unverifiable assumptions on the data. In turn, more flexible machine learning models and, parti...
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#1Matthew Dixon (IIT: Illinois Institute of Technology)H-Index: 6
#2Cuneyt Gurcan Akcora (UM: University of Manitoba)H-Index: 9
Last.Murat Kantarcioglu (UTD: University of Texas at Dallas)H-Index: 38
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Blockchain offers the opportunity to use the transaction graph for financial governance, yet properties of this graph are understudied. One key question in this direction is the extent to which the transaction graph can serve as an early-warning indicator for large financial losses. In this article, we demonstrate the impact of extreme transaction graph activity on the intraday volatility of the Bitcoin prices series. Specifically, we identify certain sub-graphs (‘chainlets’) that exhibit predic...
1 CitationsSource
#1Vyacheslav Lyubchich (UMCES: University of Maryland Center for Environmental Science)H-Index: 4
#2Nathaniel K. Newlands (AAFC: Agriculture and Agri-Food Canada)H-Index: 9
Last.Yulia R. Gel (UTD: University of Texas at Dallas)H-Index: 15
view all 5 authors...
1 CitationsSource
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