A new nature inspired modularity function adapted for unsupervised learning involving spatially embedded networks: A comparative analysis

no code implementations • 18 Jul 2020 • 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 difficult or costly to generate.

Clustering

Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing

no code implementations • 21 Mar 2020 • Ajay K. Gogineni, S. Swayamjyoti, Devadatta Sahoo, Kisor K. Sahu, Raj Kishore

In the present article, we have shown a multi-class classification, where we classify a smart contract in Suicidal, Prodigal, Greedy, or Normal categories.

Binary Classification General Classification +2

Visual Machine Learning: Insight through Eigenvectors, Chladni patterns and community detection in 2D particulate structures

no code implementations • 2 Jan 2020 • Raj Kishore, S. Swayamjyoti, Shreeja Das, Ajay K. Gogineni, Zohar Nussinov, D. Solenov, Kisor K. Sahu

In the current work, we aim to better understand the generic intuition underlying unsupervised ML with a focus on physical systems.

BIG-bench Machine Learning Community Detection