4 papers
Chaotic CNN for Limited Data Image Classification
Anusree M, Akhila Henry, Pramod P Nair
Convolutional neural networks (CNNs) often exhibit poor generalisation in limited training data scenarios due to overfitting and insufficient feature diversity. In this work, a sim…
Self-Training the Neurochaos Learning Algorithm
Anusree M, Akhila Henry, Pramod P Nair
In numerous practical applications, acquiring substantial quantities of labelled data is challenging and expensive, but unlabelled data is readily accessible. Conventional supervis…
Hyperparameter-Free Neurochaos Learning Algorithm for Classification
Akhila Henry, Nithin Nagaraj
Neurochaos Learning (NL) is a brain-inspired classification framework that employs chaotic dynamics to extract features from input data and yields state of the art performance on c…
Augmented Regression Models using Neurochaos Learning
Akhila Henry, Nithin Nagaraj
This study presents novel Augmented Regression Models using Neurochaos Learning (NL), where Tracemean features derived from the Neurochaos Learning framework are integrated with tr…