{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:41:45Z","timestamp":1769740905705,"version":"3.49.0"},"reference-count":53,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386695","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T13:28:47Z","timestamp":1705930127000},"page":"646-655","source":"Crossref","is-referenced-by-count":7,"title":["Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder"],"prefix":"10.1109","author":[{"given":"Tomojit","family":"Ghosh","sequence":"first","affiliation":[{"name":"University of Tennessee,Department of Computer Science & Engineering,Chattanooga,USA"}]},{"given":"Michael","family":"Kirby","sequence":"additional","affiliation":[{"name":"Colorado State University,Department of Mathematics,Fort Collins,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.91.11.5022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1101\/gr.6.7.639"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2626"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.molcel.2015.05.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-14-832"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2012.33"},{"issue":"Mar","key":"ref7","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"Journal of machine learning research"},{"key":"ref8","first-page":"856","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","volume-title":"Proceedings of the 20th international conference on machine learning (ICML-03)","author":"Yu"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1368-0"},{"issue":"9","key":"ref10","article-title":"Fast binary feature selection with conditional mutual information","volume":"5","author":"Fleuret","year":"2004","journal-title":"Journal of Machine learning research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICEMIS.2016.7745366"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/3477.990877"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/bf00113892"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-35488-8_6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref17","first-page":"1","article-title":"Feature selection using lasso","volume":"30","author":"Fonti","year":"2017","journal-title":"VU Amsterdam Research Paper in Business Analytics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICACA.2016.7887916"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015364"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.2063812"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2015.0189"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.029"},{"key":"ref23","article-title":"The efficacy of l1 regularization in two-layer neural networks","author":"Li","year":"2020","journal-title":"arXiv preprint arXiv:2010.01048"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000735"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2017.09.006"},{"issue":"20","key":"ref27","first-page":"1","article-title":"Supervised dimensionality reduction and visualization using centroid-encoder","volume":"23","author":"Ghosh","year":"2022","journal-title":"Journal of Machine Learning Research"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1201\/9781315373515-2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","volume-title":"3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings","author":"Kingma"},{"issue":"127","key":"ref31","first-page":"1","article-title":"Lassonet: A neural network with feature sparsity","volume":"22","author":"Lemhadri","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191985"},{"key":"ref33","first-page":"10648","article-title":"Feature selection using stochastic gates","volume-title":"International Conference on Machine Learning","author":"Yamada"},{"key":"ref34","first-page":"444","article-title":"Concrete autoencoders: Differentiable feature selection and reconstruction","volume-title":"International conference on machine learning","author":"Bal\u0131n"},{"key":"ref35","article-title":"Diet networks: thin parameters for fat genomics","author":"Romero","year":"2016","journal-title":"arXiv preprint arXiv:1611.09340"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3136625"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5308"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.02.003"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24446-9_4"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1004790"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2020.107858"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.21236\/ADA528514"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20303"},{"key":"ref44","article-title":"The trimmed lasso: Sparsity and robustness","author":"Bertsimas","year":"2017","journal-title":"arXiv preprint arXiv:1708.04527"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1214\/07-AOS580"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"issue":"1","key":"ref47","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","article-title":"Gene selection for cancer classification using support vector machines","volume":"46","author":"Guyon","year":"2002","journal-title":"Machine learning"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1186\/s12918-016-0302-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280626"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462261"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.040"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","location":"Sorrento, Italy","start":{"date-parts":[[2023,12,15]]},"end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386695.pdf?arnumber=10386695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T12:22:28Z","timestamp":1706012548000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386695\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386695","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}