Machine Learning Group - IIT Palakad
We work in theory as well as applications related machine learning and data science. Our expertise ranges from optimization control to Bayesian models in theory, whereas Bioinformatics education to zoonotic pandemics.
We have developed two web based tools: LeSi and xDet. LeSi is a Machine Learning based Learner Simulator for studying spread of Covid19 in India and various states. LeSi is based on 10-compartment pandemic model adapted from SEIR. LeSi allows users to learn location specific parameters from real cases. LeSi also allows users to run a pandemic simulator in forecasting mode. xDet is a Machine Learning based tool to classify X-ray images among various respiratory diseases.
Explainable Al Model
Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms
Warping Resilient Scalable Anomaly Detection in Time Series
Warping Resilient Scalable Anomaly Detection in Time Series. Learns warp resilient embeddings for time series data
Deep Extreme Mixture Model for Time Series Forecasting
Time Series Forecasting faces two issues: underfitting and overfitting while trained with MSE loss.