activity
20202022
most citedNeighborhood Preserving Kernels for Attributed Graphs

9 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 4 cited

An Ensemble Model for Face Liveness Detection

Shashank Shekhar, Avinash Patel, Mrinal Haloi +1

In this paper, we present a passive method to detect face presentation attack a.k.a face liveness detection using an ensemble deep learning technique. Face liveness detection is on…

cs.LG2022★ 6 cited

A Comparative study of Hyper-Parameter Optimization Tools

Shashank Shekhar, Adesh Bansode, Asif Salim

Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model perfo…

cs.LG2021★ 1 cited

An efficient scheme based on graph centrality to select nodes for training for effective learning

CR Sandeep, Asif Salim, R Sethunadh +1

The process of selecting points for training a machine learning model is often a challenging task. Many times, we will have a lot of data, but for training, we require the labels a…

cs.AI2020★ 9 cited

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…

cs.LG2020★ 1 cited

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…