Chandrashekhar Azad

A comprehensive survey on feature selection in the various fields of machine learning

Pradip Dhal, Chandrashekhar Azad · Applied Intelligence · 2021 · 474 citations

Computing, Computer Science, Data Science +17

A multi-objective feature selection method using Newton’s law based PSO with GWO

Pradip Dhal, Chandrashekhar Azad · Applied Soft Computing · 2021 · 70 citations

Computing, Computational Engineering, Data Mining +13

Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields

Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad et al. · APL Machine Learning · 2024 · 25 citations · Full text

Natural Sciences, Chemistry, Materials Science +16

A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text

Pradip Dhal, Chandrashekhar Azad · Neural Computing and Applications · 2023 · 24 citations

Computing, Computer Science, Machine Learning +13

Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models

Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad et al. · Dyes and Pigments · 2023 · 22 citations

Natural Sciences, Biophysics, Chemistry +14