{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:16:24Z","timestamp":1730265384889,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"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":[[2023,9,12]]},"DOI":"10.1109\/iicaiet59451.2023.10291437","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T17:48:39Z","timestamp":1698428919000},"page":"393-398","source":"Crossref","is-referenced-by-count":0,"title":["Characterisation of Data Augmentation Techniques Using Visualisation"],"prefix":"10.1109","author":[{"given":"Kin Wai","family":"Lee","sequence":"first","affiliation":[{"name":"Universiti Malaysia Sabah,Faculty of Engineering,Kota Kinabalu,Malaysia"}]},{"given":"Renee Ka","family":"Yin Chin","sequence":"additional","affiliation":[{"name":"Universiti Malaysia Sabah,Faculty of Engineering,Kota Kinabalu,Malaysia"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering9110698"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.420776"},{"key":"ref14","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","first-page":"1","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref10","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017","journal-title":"ArXiv"},{"key":"ref2","first-page":"43","article-title":"CNN-SVR for CRISPR-Cpfl guide RNA activity prediction with data augmentation","author":"zhang","year":"2019","journal-title":"9th International Conference on Bioscience Biochemistry and Bioinformatics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.32604\/cmes.2020.08641"},{"key":"ref17","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"mcinnes","year":"2020","journal-title":"ArXiv"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-04247-y"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging9030069"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.xops.2022.100258"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00633-5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.17816\/DD46826"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIPA52582.2021.9576805"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102588"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01358"},{"key":"ref22","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref21","article-title":"Vision Transformers and Yolo V5 based Driver Drowsiness Detection Framework","author":"krishna","year":"2022","journal-title":"ArXiv"},{"journal-title":"TensorFlow","year":"0","key":"ref27"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5220\/0006730901990205"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2994762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0951-8"},{"key":"ref4","volume":"6","author":"shorten","year":"2019","journal-title":"A survey on Image Data Augmentation for Deep Learning Journal of Big Data"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.234"},{"key":"ref6","article-title":"The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective","volume":"8","author":"elgendi","year":"2021","journal-title":"Frontiers of Medicine"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053800"}],"event":{"name":"2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","start":{"date-parts":[[2023,9,12]]},"location":"Kota Kinabalu, Malaysia","end":{"date-parts":[[2023,9,14]]}},"container-title":["2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10291172\/10291205\/10291437.pdf?arnumber=10291437","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:01:00Z","timestamp":1700506860000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10291437\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,12]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/iicaiet59451.2023.10291437","relation":{},"subject":[],"published":{"date-parts":[[2023,9,12]]}}}