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Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks
(Springer, 2019-01-01)
The identification of Interictal Epileptiform Discharges (IEDs), which are characterized by spikes and waves in electroencephalographic (EEG) data, is highly beneficial to the automated detection and prediction of epileptic ...
The Complexity–Stability Debate, Chemical Organization Theory, and the Identification of Non-classical Structures in Ecology
(Springer, 2020-03)
We present a novel approach to represent ecological systems using reaction networks, and show how a particular framework called chemical organization theory (COT) sheds new light on the longstanding complexity–stability ...
Sensitivity of complex networks measurements
(IOP PUBLISHING LTD, 2010)
Complex networks obtained from real-world networks are often characterized by incompleteness and noise, consequences of imperfect sampling as well as artifacts in the acquisition process. Because the characterization, ...
Time series characterization via horizontal visibility graph and Information Theory
(Elsevier Science, 2016-12)
Complex networks theory have gained wider applicability since methods for transformation of time series to networks were proposed and successfully tested. In the last few years, horizontal visibility graph has become a ...
Complex network study of the immune epitope database for parasitic organisms
(Bentham Science Publishers B.V., 2017)
Google matrix analysis of directed networks
(American Physical Society, 2015-10)
In the past decade modern societies have developed enormous communication and social networks. Their classification and information retrieval processing has become a formidable task for the society. Because of the rapid ...