59 citations · 263 across the 49 of their papers we have counts for
3 papers · 1 filter
Granger Causality for Compressively Sensed Sparse Signals
Aditi Kathpalia, Nithin Nagaraj
Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted and stored using far fewer measurements than done by conventional means employing Nyquist…
Neurochaos Feature Transformation and Classification for Imbalanced Learning
Deeksha Sethi, Nithin Nagaraj, Harikrishnan N B
Learning from limited and imbalanced data is a challenging problem in the Artificial Intelligence community. Real-time scenarios demand decision-making from rare events wherein the…
Cause-Effect Preservation and Classification using Neurochaos Learning
Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj
Discovering cause-effect from observational data is an important but challenging problem in science and engineering. In this work, a recently proposed brain inspired learning algor…