4 citations · 5 across the 3 of their papers we have counts for
4 papers
A new nature inspired modularity function adapted for unsupervised learning involving spatially embedded networks: A comparative analysis
Raj Kishore, Zohar Nussinov, Kisor Kumar Sahu
Unsupervised machine learning methods can be of great help in many traditional engineering disciplines, where huge amount of labeled data is not readily available or is extremely d…
A kinetic model for qualitative understanding and analysis of the effect of complete lockdown imposed by India for controlling the COVID-19 disease spread by the SARS-CoV-2 virus
Raj Kishore, Prashant Kumar Jha, Shreeja Das +6
The present ongoing global pandemic caused by SARS-CoV-2 virus is creating havoc across the world. The absence of any vaccine as well as any definitive drug to cure, has made the s…
Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing
Ajay K. Gogineni, S. Swayamjyoti, Devadatta Sahoo +2
Vulnerability detection and safety of smart contracts are of paramount importance because of their immutable nature. Symbolic tools like OYENTE and MAIAN are typically used for vul…
Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures
Raj Kishore, S. Swayamjyoti, Shreeja Das +4
Machine learning (ML) is quickly emerging as a powerful tool with diverse applications across an extremely broad spectrum of disciplines and commercial endeavors. Typically, ML is…