Abhishek

13 papers C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Low-rank GAT: toward robust quantification of neighborhood influence.
Neural Comput. Appl.
Rakesh Kumar Yadav, Abhishek, Abhishek Verma, Prashant Shukla, Katyayani Verma, Shekhar Verma
2023 J jnl
Parzen Window Approximation on Riemannian Manifold.
Pattern Recognit.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
2023 J jnl
Semi-supervised learning with dropouts.
Expert Syst. Appl.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
2022 — conf
Interference Coordination Scheme for the Downlink of UAV Assisted Cellular Network.
ANTS
Manish Kumar, Abhishek, Kunwar Pritiraj Rajput
2021 J jnl
A rotation based regularization method for semi-supervised learning.
Pattern Anal. Appl.
Prashant Shukla, Abhishek, Shekhar Verma, Manish Kumar
2021 J jnl
Cross-covariance based affinity for graphs.
Appl. Intell.
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
2021 J jnl
HSIC-based affinity measure for learning on graphs.
Pattern Anal. Appl.
Rakesh Kumar Yadav, Abhishek, Vijay Kumar Yadav, Shekhar Verma, S. Venkatesan
2021 J jnl
iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN.
J. Supercomput.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan
2020 — conf
Ensemble Based Graph Convolutional Network for Semi Supervised Learning.
CVIP (3)
Rakesh Kumar Yadav, Manikanta Moghili, Abhishek, Prashant Shukla, Shekhar Verma
2020 C conf
GCN with Clustering Coefficients and Attention Module.
ICMLA
Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma
2020 J jnl
Interpreting SVM for medical images using Quadtree.
Multim. Tools Appl.
Prashant Shukla, Abhishek Verma, Abhishek, Shekhar Verma, Manish Kumar
2020 J jnl
Regularization on a rapidly varying manifold.
Int. J. Mach. Learn. Cybern.
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
2019 J jnl
Optimal manifold neighborhood and kernel width for robust non-linear dimensionality reduction.
Knowl. Based Syst.
Abhishek, Shekhar Verma