{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T07:23:10Z","timestamp":1774941790024,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489730","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier"],"prefix":"10.1109","author":[{"given":"Arijit","family":"Ukil","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ishan","family":"Sahu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chetanya","family":"Puri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayan","family":"Mukherjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rituraj","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soma","family":"Bandyopadhyay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arpan","family":"Pal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"A Robust AF Classifier using Time and Frequency Features from Single Lead ECG Signal","author":"datta","year":"2017","journal-title":"CinC"},{"key":"ref30","article-title":"AF Classification from a Short Single Lead ECG Recording: the PhysioNet Computing in Cardiology Challenge 2017","author":"clifford","year":"2017","journal-title":"CinC"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/srep10312"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/352"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2016.0190"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref14","first-page":"1125","article-title":"Classification of normal and abnormal heart sound recordings through robust feature selection","author":"puri","year":"2016","journal-title":"CinC"},{"key":"ref15","article-title":"AF classification from a short single lead ECG recording: The Physionet Computing in Cardiology Challenge 2017","author":"clifford","year":"2017","journal-title":"Computing in Cardiology"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1145\/3136625","article-title":"Feature selection: a data perspective","volume":"50","author":"li","year":"2018","journal-title":"ACM Computing Surveys"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1016\/j.sigpro.2008.07.001","article-title":"Fast and accurate feature subset selection applied into speech emotion recognition","volume":"88","author":"ververidis","year":"2008","journal-title":"Elsevier Signal Processing"},{"key":"ref18","first-page":"512","article-title":"Effective global approaches for mutual information based feature selection","author":"xuan","year":"2014","journal-title":"ACM SIGKDD"},{"key":"ref19","first-page":"1491","article-title":"Quadratic programming feature selection","author":"rodriguez-lujan","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS312"},{"key":"ref4","first-page":"27","article-title":"Conditional likelihood maximisation: a unifying framework for information theoretic feature selection","author":"brown","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037876"},{"key":"ref3","first-page":"832","article-title":"The random subspace method for Constructing decision forests","author":"ho","year":"1998","journal-title":"IEEE TPAMI"},{"key":"ref6","article-title":"Conditional infomax learning: An integrated framework for feature extraction and fusion","author":"lin","year":"2006","journal-title":"ECCV"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1126\/science.1205438"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref8","article-title":"An introduction to variable and feature selection","author":"guyon","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref20","first-page":"2831","article-title":"Deep learning for fixed model reuse","author":"yang","year":"2017","journal-title":"AAAI"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/37\/12\/2181"},{"key":"ref21","first-page":"826","article-title":"Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA","author":"kotthoff","year":"2017","journal-title":"JMLR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178781"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2968219.2972712"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0123"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.11.039"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","location":"Rio de Janeiro","start":{"date-parts":[[2018,7,8]]},"end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489730.pdf?arnumber=8489730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:33:54Z","timestamp":1598225634000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489730\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489730","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}