{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T18:16:20Z","timestamp":1758824180681},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"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":[[2022,5,28]]},"DOI":"10.1109\/iscas48785.2022.9937433","type":"proceedings-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T20:38:08Z","timestamp":1668199088000},"source":"Crossref","is-referenced-by-count":6,"title":["Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security"],"prefix":"10.1109","author":[{"given":"Rupesh Raj","family":"Karn","sequence":"first","affiliation":[{"name":"Khalifa University,Center for Cyber Physical Systems (C2PS),Abu Dhabi,UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Ziegler","sequence":"additional","affiliation":[{"name":"IBM T.J Watson Research Center, Yorktown Heights,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinwook","family":"Jung","sequence":"additional","affiliation":[{"name":"Khalifa University,Center for Cyber Physical Systems (C2PS),Abu Dhabi,UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ibrahim Abe M.","family":"Elfadel","sequence":"additional","affiliation":[{"name":"Khalifa University,Center for Cyber Physical Systems (C2PS),Abu Dhabi,UAE"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0080-x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3115946"},{"key":"ref12","year":"0","journal-title":"Ray tune Scalable hyperparameter tuning"},{"key":"ref13","first-page":"1","article-title":"A system for massively parallel hyperparameter tuning","author":"li","year":"2020","journal-title":"Proceedings International Conference on Machine Learning"},{"key":"ref14","article-title":"Population based training of neural networks","author":"jaderberg","year":"2017","journal-title":"arXiv preprint arXiv 1711 09846"},{"key":"ref15","first-page":"2016","article-title":"Neural architecture search with bayesian optimisation and optimal transport","author":"kandasamy","year":"2018","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"ref16","first-page":"1","article-title":"UNSW-NB15: A comprehensive wataset for network intrusion detection systems (UNSW-NB15 Network Dataset)","author":"moustafa","year":"2015","journal-title":"Proceedings of Military Communications and Information Systems Conference"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2402161"},{"key":"ref18","year":"0","journal-title":"UNSW-NB15 Dataset Features and Size Description"},{"key":"ref19","year":"0","journal-title":"Keras Deep learning library for theano and tensorflow"},{"key":"ref4","first-page":"899","article-title":"Reinforced continual learning","author":"xu","year":"2018","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC.2019.00027"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1185"},{"key":"ref5","first-page":"13 669","article-title":"Compacting, picking and growing for unforgetting continual learning","author":"hung","year":"2019","journal-title":"Proceedings of Advances in Neural Information Processing Systems Vancouver Convention Center"},{"key":"ref8","first-page":"1","article-title":"Lifelong learning with dynamically expandable networks","author":"yoon","year":"2018","journal-title":"Proceedings of International Conference on Learning Representations Vancouver Convention Center"},{"key":"ref7","article-title":"Tune: A research platform for distributed model selection and training","author":"liaw","year":"2018","journal-title":"arXiv preprint arXiv 1807 05118"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref1","first-page":"3987","article-title":"Continual learning through synaptic intelligence","author":"zenke","year":"2017","journal-title":"Proceedings of the International Conference on Machine Learning"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BADGERS.2015.014"},{"key":"ref20","year":"0","journal-title":"Amazon EC2 Instance Types"}],"event":{"name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Austin, TX, USA","start":{"date-parts":[[2022,5,27]]},"end":{"date-parts":[[2022,6,1]]}},"container-title":["2022 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9937201\/9937203\/09937433.pdf?arnumber=9937433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:21:15Z","timestamp":1669666875000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9937433\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,28]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iscas48785.2022.9937433","relation":{},"subject":[],"published":{"date-parts":[[2022,5,28]]}}}