Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Sanjukta Krishnagopal"'
Autor:
Sanjukta Krishnagopal
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-16 (2022)
Abstract Mountaineering is a sport of contrary forces: teamwork plays a large role in mental fortitude and skills, but the actual act of climbing, and indeed survival, is largely individualistic. This work studies the effects of the structure and top
Externí odkaz:
https://doaj.org/article/1bd7b9cc53b84e01a1501d4a433ff7f5
Publikováno v:
Brain Informatics, Vol 9, Iss 1, Pp 1-11 (2022)
Abstract Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical recovery in these domains is tracked using a wide range of me
Externí odkaz:
https://doaj.org/article/25038b0ec6cc4aff9302ea41b95338be
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0233296 (2020)
Chronic medical conditions show substantial heterogeneity in their clinical features and progression. We develop the novel data-driven, network-based Trajectory Profile Clustering (TPC) algorithm for 1) identification of disease subtypes and 2) early
Externí odkaz:
https://doaj.org/article/bb5796aca24c4021ac5a1f52695018d9
Publikováno v:
Complexity, Vol 2018 (2018)
We investigate the ways in which a machine learning architecture known as Reservoir Computing learns concepts such as “similar” and “different” and other relationships between image pairs and generalizes these concepts to previously unseen cl
Externí odkaz:
https://doaj.org/article/e590933ffe1f4fc7bdd9d66891801aef
Autor:
Chad M Aldridge, Sanjukta Krishnagopal, Keith Lohse, Fang-Chi Hsu, Keith L Keene, Bradford B Worrall, Robynne Braun
Publikováno v:
Stroke. 54
Objective: To perform a genome wide association study (GWAS) of stroke recovery phenotypes as defined by the trajectories of patients’ NIH stroke scale scores over time. Background: Stroke recovery research entails tracking multiple domains of neur
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
Brain Informatics. 9
Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical recovery in these domains is tracked using a wide range of measures th
Autor:
Sanjukta Krishnagopal
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2b199259abd5a70c00b5be8e24e17e9
https://doi.org/10.1007/978-3-030-93409-5_55
https://doi.org/10.1007/978-3-030-93409-5_55
We propose Local Dirac Synchronization which uses the Dirac operator to capture the dynamics of coupled nodes and link signals on an arbitrary network. In Local Dirac Synchronization, the harmonic modes of the dynamics oscillate freely while the othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97af1b0e6731ea522c7fc6d1691f4ce7
Publikováno v:
Physical review. E. 104(6-1)
Despite being a source of rich information, graphs are limited to pairwise interactions. However, several real-world networks such as social networks, neuronal networks, etc., involve interactions between more than two nodes. Simplicial complexes pro