12 citations · 22 across the 4 of their papers we have counts for
4 papers
Neighborhood Preserving Kernels for Attributed Graphs
Asif Salim, Shiju. S. S, Sumitra. S
We describe the design of a reproducing kernel suitable for attributed graphs, in which the similarity between the two graphs is defined based on the neighborhood information of th…
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim, Sumitra S
Graph convolutional neural networks (GCNNs) have been widely used in graph learning. It has been observed that the smoothness functional on graphs can be defined in terms of the gr…
Disentanglement based Active Learning
Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Sumitra S
We propose Disentanglement based Active Learning (DAL), a new active learning technique based on self-supervision which leverages the concept of disentanglement. Instead of request…
Structural Health Monitoring of Cantilever Beam, a Case Study -- Using Bayesian Neural Network AND Deep Learning
Rahul Vashisht, H. Viji, T. Sundararajan +2
The advancement of machine learning algorithms has opened a wide scope for vibration-based SHM (Structural Health Monitoring). Vibration-based SHM is based on the fact that damage…