harikrishnannb / nl-imbalanced-learning

Neurochaos Learning codes for classification in imbalanced learning.

Neurochaos Feature Transformation for Machine Learning

Neurochaos Learning codes for classification in imbalanced learning. All the datasets used in the experiments above can be found in the Datasets folder

The crux of the paper is provided in the following diagram.

Video explanation on YouTube on the usage of neurochaos features and highlighting chief ideas and inspiration.

Reference Paper:

1. Balakrishnan, Harikrishnan Nellippallil, et al. "ChaosNet: A chaos based artificial neural network architecture for classification." Chaos: An Interdisciplinary Journal of Nonlinear Science 29.11 (2019): 113125.

2. Harikrishnan, N. B., and Nithin Nagaraj. "Neurochaos Inspired Hybrid Machine Learning Architecture for Classification." 2020 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2020.

Dependencies

• Python 3
• Numpy
• Numba

License

Copyright 2022 Deeksha Sethi, Nithin Nagaraj and Harikrishnan N. B.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.