48 citations · 48 across the 5 of their papers we have counts for
6 papers
The collective vs individual nature of mountaineering: a network and simplicial approach
Sanjukta Krishnagopal
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 individual…
Stroke recovery phenotyping through network trajectory approaches and graph neural networks
Sanjukta Krishnagopal, Keith Lohse, Robynne Braun
Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical…
Success at high peaks: a multiscale approach combining individual and expedition-wide factors
Sanjukta Krishnagopal
This work presents a network-based data-driven study of the combination of factors that contribute to success in mountaineering. It simultaneously examines the effects of individua…
Multi-layer Trajectory Clustering: A Network Algorithm for Disease Subtyping
Sanjukta Krishnagopal
Many diseases display heterogeneity in clinical features and their progression, indicative of the existence of disease subtypes. Extracting patterns of disease variable progression…
Separation of Chaotic Signals by Reservoir Computing
Sanjukta Krishnagopal, Michelle Girvan, Edward Ott +1
We demonstrate the utility of machine learning in the separation of superimposed chaotic signals using a technique called Reservoir Computing. We assume no knowledge of the dynamic…
Identifying and Predicting Parkinson's Disease Subtypes through Trajectory Clustering via Bipartite Networks
Sanjukta Krishnagopal, Rainer Von Coelln, Lisa M. Shulman +1
Parkinson's disease (PD) is a common neurodegenerative disease with a high degree of heterogeneity in its clinical features, rate of progression, and change of variables over time.…