{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T16:51:07Z","timestamp":1754153467013,"version":"3.41.2"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T00:00:00Z","timestamp":1749600000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T00:00:00Z","timestamp":1749600000000},"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":[[2025,6,11]]},"DOI":"10.1109\/mocast65744.2025.11083730","type":"proceedings-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T18:01:35Z","timestamp":1753207295000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Traffic Sign Recognition for Level-3 Autonomy: Efficient Deep Learning for Class-Imbalanced Datasets"],"prefix":"10.1109","author":[{"given":"Myrsini E.","family":"Mita","sequence":"first","affiliation":[{"name":"School of Physics, Aristotle University of Thessaloniki,ELEDIA@AUTH,Thessaloniki,Greece"}]},{"given":"Lazaros A.","family":"Iliadis","sequence":"additional","affiliation":[{"name":"School of Physics, Aristotle University of Thessaloniki,ELEDIA@AUTH,Thessaloniki,Greece"}]},{"given":"Sotirios P.","family":"Sotiroudis","sequence":"additional","affiliation":[{"name":"School of Physics, Aristotle University of Thessaloniki,ELEDIA@AUTH,Thessaloniki,Greece"}]},{"given":"Achilles D.","family":"Boursianis","sequence":"additional","affiliation":[{"name":"School of Physics, Aristotle University of Thessaloniki,ELEDIA@AUTH,Thessaloniki,Greece"}]},{"given":"Maria S.","family":"Papadopoulou","sequence":"additional","affiliation":[{"name":"International Hellenic University,Department of Information and Electronic Eng.,Sindos,Greece"}]},{"given":"Sotirios K.","family":"Goudos","sequence":"additional","affiliation":[{"name":"School of Physics, Aristotle University of Thessaloniki,ELEDIA@AUTH,Thessaloniki,Greece"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-4742-3_56"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/infrastructures8020020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s24103088"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033395"},{"article-title":"Simplifying neural network training under class imbalance","volume-title":"in Proceedings of the 37th International Conference on Neural Information Processing Systems","author":"Shwartz-Ziv","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2011.6033395"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"97","author":"Tan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref11","article-title":"Pattern Recognition and Machine Learning (Information Science and Statistics)","author":"Bishop","year":"2006","journal-title":"Berlin, Heidelberg: Springer-Verlag"},{"key":"ref12","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, ser. Proceedings of Machine Learning Research","volume":"9","author":"Glorot"},{"volume-title":"When does label smoothing help? Red Hook","year":"2019","author":"Muller","key":"ref13"},{"key":"ref14","first-page":"111760","article-title":"Why warmup the learning rate? underlying mechanisms and improvements","volume-title":"Advances in Neural Information Processing Systems","volume":"37","author":"Kalra","year":"2024"},{"article-title":"Decoupled weight decay regularization","volume-title":"International Conference on Learning Representations","author":"Loshchilov","key":"ref15"},{"key":"ref16","first-page":"53","article-title":"Early Stopping - But When? Berlin","author":"Prechelt","year":"2012","journal-title":"Heidelberg: Springer Berlin Heidelberg"},{"key":"ref17","article-title":"Good classification measures and how to find them","author":"G\u00f6sgens","year":"2021","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)","start":{"date-parts":[[2025,6,11]]},"location":"Dresden, Germany","end":{"date-parts":[[2025,6,13]]}},"container-title":["2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11083879\/11083724\/11083730.pdf?arnumber=11083730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T05:06:38Z","timestamp":1753247198000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11083730\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,11]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/mocast65744.2025.11083730","relation":{},"subject":[],"published":{"date-parts":[[2025,6,11]]}}}