{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T13:58:16Z","timestamp":1768917496146,"version":"3.49.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650943","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Computational Creativity by Generative Adversial Network with Leaked Information"],"prefix":"10.1109","author":[{"given":"Sayantani","family":"Ghosh","sequence":"first","affiliation":[{"name":"Jadavpur University,Artificial Intelligence Laboratory,Electronics & Telecommunication Engineering Department,India"}]},{"given":"Amit","family":"Konar","sequence":"additional","affiliation":[{"name":"Jadavpur University,Artificial Intelligence Laboratory,Electronics & Telecommunication Engineering Department,India"}]},{"given":"Atulya K","family":"Nagar","sequence":"additional","affiliation":[{"name":"Liverpool Hope University,Department of Math and Computer Science,Liverpool,UK"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4324\/9780203508527"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/9781316979839"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1017\/9781316816981"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI51031.2022.10022238"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4324\/9781315712796"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3664595"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3100456"},{"key":"ref8","first-page":"259","article-title":"Creating latent spaces for modern music genre rhythms using minimal training data","volume-title":"Proc. Int. Conf. Comput. Creativity","author":"Vigliensoni"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.5220\/0010461200370044","article-title":"Artificial neural networks jamming on the beat","volume-title":"Proc. 6th Int. Conf. Compl., Fut. Inf. Syst. Risk","author":"Tikhonov"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2019.2893905"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IRC.2017.58"},{"key":"ref12","first-page":"1","article-title":"Creative robot dance with variational encoder","volume-title":"Proc. Int. Conf. Comput. Creativity","author":"Augello"},{"key":"ref13","article-title":"The role of blending in mathematical invention","author":"Bou","year":"2015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10472-016-9505-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8341"},{"key":"ref16","article-title":"Query-Based Generation of Trigonometric Identity Problems and Solutions","volume-title":"The Thirty-Third International Flairs Conference","author":"Pearce"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8745"},{"key":"ref18","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-020-00360-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11957"},{"key":"ref22","article-title":"Text understanding from scratch","author":"Zhang","year":"2015"},{"key":"ref23","article-title":"Mish: A Self Regularized Non-Monotonic Neural Activation Function","author":"Misra","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref25","article-title":"Data generation as sequential decision making","volume":"28","author":"Bachman","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1620853.1620921"},{"key":"ref27","first-page":"3540","article-title":"Feudal networks for hierarchical reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Vezhnevets"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.33564\/ijeast.2020.v04i12.054"},{"key":"ref30","first-page":"32","article-title":"What you get is what you see: A visual markup decompiler","volume":"10","author":"Deng","year":"2016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1032"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/k16-1002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref34","article-title":"Adversarial ranking for language generation","volume":"30","author":"Lin","year":"2017","journal-title":"Advances in neural information processing systems"},{"issue":"4","key":"ref35","first-page":"111","article-title":"Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks","volume":"1","author":"Karlik","year":"2011","journal-title":"International Journal of Artificial Intelligence and Expert Systems (IJAE)"},{"key":"ref36","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"Nair","year":"2010","journal-title":"Haifa"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-6772-4_76"},{"key":"ref38","article-title":"Fast and accurate deep network learning by exponential linear units (elus)","author":"Clevert","year":"2015"},{"key":"ref39","article-title":"Self-Normalizing Neural Networks","author":"Klambauer","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.012"},{"key":"ref41","article-title":"The Quest for the Golden Activation Function","author":"Basirat","year":"2018"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650943.pdf?arnumber=10650943","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T06:15:54Z","timestamp":1725948954000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650943\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650943","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}