{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T00:41:53Z","timestamp":1775695313340,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/icit.2018.8352405","type":"proceedings-article","created":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T13:34:26Z","timestamp":1525440866000},"page":"1514-1519","source":"Crossref","is-referenced-by-count":5,"title":["Generative adverserial networks for geometric surfaces prediction in injection molding: Performance analysis with Discrete Modal Decomposition"],"prefix":"10.1109","author":[{"given":"Pierre","family":"Nagorny","sequence":"first","affiliation":[]},{"given":"Thomas","family":"Lacombe","sequence":"additional","affiliation":[]},{"given":"Hugues","family":"Favreliere","sequence":"additional","affiliation":[]},{"given":"Maurice","family":"Pillet","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Pairel","sequence":"additional","affiliation":[]},{"given":"Ronan","family":"Le Goff","sequence":"additional","affiliation":[]},{"given":"Marlene","family":"Wali","sequence":"additional","affiliation":[]},{"given":"Jerome","family":"Loureaux","sequence":"additional","affiliation":[]},{"given":"Patrice","family":"Kiener","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"radford","year":"2015","journal-title":"Unsuper-vised representation learning with deep convolutional generative adversarial networks"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref12","author":"ronneberger","year":"2015","journal-title":"U-net Convolutional networks for biomedical image segmentation"},{"key":"ref13","first-page":"315","article-title":"Deep Sparse Rectifier Neural Networks","author":"glorot","year":"0"},{"key":"ref14","article-title":"Rectifier Nonlinearities Improve Neural Network Acoustic Models","author":"maas","year":"2013","journal-title":"Proceeding of ICML"},{"key":"ref15","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)"},{"key":"ref16","author":"wang","year":"2017","journal-title":"Perceptual Adversarial Networks for Image-to-Image Transformation"},{"key":"ref17","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/sca.20253"},{"key":"ref19","author":"favreliere","year":"2009","journal-title":"Modal Tolerancing From metrology to specifications"},{"key":"ref28","author":"wu","year":"2016","journal-title":"Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling"},{"key":"ref4","author":"goodfellow","year":"2014","journal-title":"Generative adversarial networks"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CIVEMSA.2017.7995316"},{"key":"ref6","article-title":"Multimodal deep learning","author":"ngiam","year":"0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/adv.20153"},{"key":"ref8","author":"taguchi","year":"1986","journal-title":"Introduction to Quality Engineering Designing Quality Into Products and Processes"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref9","first-page":"674","article-title":"An Iterative Image Registration Technique with an Application to Stereo Vision","volume":"2","author":"lucas","year":"1981","journal-title":"Proceedings of the 7th International Joint Conference on Artificial Intelligence"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/pen.24163"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.05.029"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"ref21","author":"rao","year":"1990","journal-title":"Discrete Cosine Transform Algorithms Advantages Applications"},{"key":"ref24","first-page":"401","article-title":"On a Measure of Divergence between Two Multinomial Populations","volume":"7","author":"bhattacharyya","year":"1946","journal-title":"Sankhy? Indian J Stat 1933&#x2013;1960"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1098\/rsos.140216"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000505"}],"event":{"name":"2018 IEEE International Conference on Industrial Technology (ICIT)","location":"Lyon","start":{"date-parts":[[2018,2,20]]},"end":{"date-parts":[[2018,2,22]]}},"container-title":["2018 IEEE International Conference on Industrial Technology (ICIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8342303\/8352140\/08352405.pdf?arnumber=8352405","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T15:00:23Z","timestamp":1527865223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8352405\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icit.2018.8352405","relation":{},"subject":[],"published":{"date-parts":[[2018,2]]}}}