@inproceedings{7046bc522b0b4ffd95e83f53d986424e,
title = "Human opinion inspired feature selection strategy for predicting the pleasantness of a molecule",
abstract = "The identification of features responsible for smell of a molecule has been a long-standing challenge. We use cheminformatics and opinion dynamics based optimization algorithm to identify feature subsets of a molecule, which can predict how pleasant a molecule will smell. We have also compared it to standard feature selection techniques. The features identified reveal that three classes of features are primarily responsible for pleasantness. The work may open up some innovative inroads into feature identification and their physical understanding into the olfactory stimulus-percept problem.",
keywords = "CODO, F-test, Feature subset selection, Olfaction, Opinion dynamics optimizer, Pleasantness, Wrapper",
author = "Ritesh Kumar and Rishemjit Kaur and Bhondekar, {Amol P.} and Raghava, {Gajendra P.S.}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Singapore Pte Ltd.; 1st International Conference on Advanced Computational and Communication Paradigms, ICACCP 2017 ; Conference date: 08-09-2017 Through 10-09-2017",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-981-10-8237-5_19",
language = "English",
isbn = "9789811082368",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "197--205",
editor = "Nabendu Chaki and Siddhartha Bhattacharyya and Debanjan Konar and Chakraborty, {Udit Kr.} and Singh, {Chingtham Tejbanta}",
booktitle = "Advanced Computational and Communication Paradigms - Proceedings of International Conference on ICACCP 2017",
address = "Germany",
}