Effectiveness of Representation and Length Variation of Shortest Paths in Graph Classification. - Asif Salim; S. S. Shiju; S. Sumitra 001 (PReMI, 2017)

Formulation of Two Stage Multiple Kernel Learning Using Regression Framework. - S. S. Shiju; Asif Salim; S. Sumitra 001 (PReMI, 2017)

Multiple kernel learning using composite kernel functions. - Shiju S. S.; Asif Salim; S. Sumitra 001 (Eng. Appl. Artif. Intell., 2017)

Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. - Asif Salim; S. Sumitra 001 (CoRR, 2020)

Design of multi-view graph embedding using multiple kernel learning. - Asif Salim; S. S. Shiju; S. Sumitra 001 (Eng. Appl. Artif. Intell., 2020)

Selecting the Points for Training using Graph Centrality. - Sandeep CR; Asif Salim; Sumitra Sarada (CoRR, 2021)

A Comparative study of Hyper-Parameter Optimization Tools. - Shashank Shekhar; Adesh Bansode; Asif Salim (CoRR, 2022)

An Ensemble Model for Face Liveness Detection. - Shashank Shekhar; Avinash Patel; Mrinal Haloi; Asif Salim (CoRR, 2022)

Graph kernels based on optimal node assignment. - Asif Salim; S. S. Shiju; S. Sumitra 001 (Knowl. Based Syst., 2022)

A PSO Based Method to Generate Actionable Counterfactuals for High Dimensional Data. - Shashank Shekhar; Asif Salim; Adesh Bansode; Vivaswan Jinturkar; Anirudha Nayak (CoRR, 2023)

Neighborhood Preserving Kernels for Attributed Graphs. - Asif Salim; S. S. Shiju; S. Sumitra 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. - Asif Salim; S. Sumitra 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)