{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:52Z","timestamp":1750220092352,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T00:00:00Z","timestamp":1662508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,7]]},"DOI":"10.1145\/3549737.3549794","type":"proceedings-article","created":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T16:29:59Z","timestamp":1662740999000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Generating Realistic Nanorough Surfaces Using an N-Gram-Graph Augmented Deep Convolutional Generative Adversarial Network"],"prefix":"10.1145","author":[{"given":"Vasilis","family":"Sioros","sequence":"first","affiliation":[{"name":"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece"}]},{"given":"George","family":"Giannakopoulos","sequence":"additional","affiliation":[{"name":"Software and Knowledge Engineering Laboratory, NCSR Demokritos, Greece and SciFY PNPC, Greece"}]},{"given":"Vassileios","family":"Constantoudis","sequence":"additional","affiliation":[{"name":"Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Greece and Nanometrisis P.C., Greece"}]}],"member":"320","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4036649"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.precisioneng.2021.10.020"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.101.043308"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(88)90014-7"},{"key":"e_1_3_2_1_5_1","volume-title":"Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries. Npj Comput. Mater. 6 (06","author":"Gayon\u00a0Lombardo Andrea","year":"2020","unstructured":"Andrea Gayon\u00a0Lombardo , Lukas Mosser , Nigel Brandon , and Samuel Cooper . 2020. Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries. Npj Comput. Mater. 6 (06 2020 ), 82. https:\/\/doi.org\/10.1038\/s41524-020-0340-7 10.1038\/s41524-020-0340-7 Andrea Gayon\u00a0Lombardo, Lukas Mosser, Nigel Brandon, and Samuel Cooper. 2020. Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries. Npj Comput. Mater. 6 (06 2020), 82. https:\/\/doi.org\/10.1038\/s41524-020-0340-7"},{"key":"e_1_3_2_1_6_1","volume-title":"N-gram Graphs: Representing Documents and Document Sets in Summary System Evaluation. Theory and Applications of Categories(2009).","author":"Giannakopoulos George","year":"2009","unstructured":"George Giannakopoulos and Vangelis Karkaletsis . 2009 . N-gram Graphs: Representing Documents and Document Sets in Summary System Evaluation. Theory and Applications of Categories(2009). George Giannakopoulos and Vangelis Karkaletsis. 2009. N-gram Graphs: Representing Documents and Document Sets in Summary System Evaluation. Theory and Applications of Categories(2009)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1410358.1410359"},{"key":"e_1_3_2_1_8_1","unstructured":"Ian\u00a0J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Networks. arxiv:1406.2661\u00a0[stat.ML]  Ian\u00a0J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Networks. arxiv:1406.2661\u00a0[stat.ML]"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Tero Karras Samuli Laine and Timo Aila. 2019. A Style-Based Generator Architecture for Generative Adversarial Networks. arxiv:1812.04948\u00a0[cs.NE]  Tero Karras Samuli Laine and Timo Aila. 2019. A Style-Based Generator Architecture for Generative Adversarial Networks. arxiv:1812.04948\u00a0[cs.NE]","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_1_10_1","unstructured":"Diederik\u00a0P Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. arxiv:1312.6114\u00a0[stat.ML]  Diederik\u00a0P Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. arxiv:1312.6114\u00a0[stat.ML]"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553453"},{"key":"e_1_3_2_1_13_1","volume-title":"Reconstruction of three-dimensional porous media using generative adversarial neural networks. Phys. Rev. E 96 (04","author":"Mosser Lukas","year":"2017","unstructured":"Lukas Mosser , Olivier Dubrule , and Martin Blunt . 2017. Reconstruction of three-dimensional porous media using generative adversarial neural networks. Phys. Rev. E 96 (04 2017 ). https:\/\/doi.org\/10.1103\/PhysRevE.96.043309 10.1103\/PhysRevE.96.043309 Lukas Mosser, Olivier Dubrule, and Martin Blunt. 2017. Reconstruction of three-dimensional porous media using generative adversarial neural networks. Phys. Rev. E 96 (04 2017). https:\/\/doi.org\/10.1103\/PhysRevE.96.043309"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.104.025302"},{"key":"e_1_3_2_1_15_1","unstructured":"Alec Radford Luke Metz and Soumith Chintala. 2016. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arxiv:1511.06434\u00a0[cs.LG]  Alec Radford Luke Metz and Soumith Chintala. 2016. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. arxiv:1511.06434\u00a0[cs.LG]"},{"volume-title":"Machine Learning and Nanotechnology: Linking structural and functional parameters of nanorough surfaces. Master\u2019s thesis","author":"Stellas Antonios","key":"e_1_3_2_1_16_1","unstructured":"Antonios Stellas . 2019. Machine Learning and Nanotechnology: Linking structural and functional parameters of nanorough surfaces. Master\u2019s thesis . National Technical University of Athens . https:\/\/doi.org\/10.26240\/heal.ntua.9048 10.26240\/heal.ntua.9048 Antonios Stellas. 2019. Machine Learning and Nanotechnology: Linking structural and functional parameters of nanorough surfaces. Master\u2019s thesis. National Technical University of Athens. https:\/\/doi.org\/10.26240\/heal.ntua.9048"},{"key":"e_1_3_2_1_17_1","volume-title":"Hybridizing AI and Domain Knowledge in Nanotechnology: the Example of Surface Roughness Effects on Wetting Behavior. In SETN Workshops.","author":"Stellas Antonios","year":"2020","unstructured":"Antonios Stellas , George Giannakopoulos , and Vassilios Constantoudis . 2020 . Hybridizing AI and Domain Knowledge in Nanotechnology: the Example of Surface Roughness Effects on Wetting Behavior. In SETN Workshops. Antonios Stellas, George Giannakopoulos, and Vassilios Constantoudis. 2020. Hybridizing AI and Domain Knowledge in Nanotechnology: the Example of Surface Roughness Effects on Wetting Behavior. In SETN Workshops."},{"key":"e_1_3_2_1_18_1","first-page":"2640","article-title":"Generating fractal rough surfaces with the spectral representation method","volume":"235","author":"Wang Yuechang","year":"2021","unstructured":"Yuechang Wang , Abdullah Azam , Mark\u00a0 CT Wilson , Anne Neville , and Ardian Morina . 2021 . Generating fractal rough surfaces with the spectral representation method . P I Mech. Eng. J-J Eng. 235 , 12 (2021), 2640 \u2013 2653 . https:\/\/doi.org\/10.1177\/13506501211049624 arXiv:https:\/\/doi.org\/10.1177\/13506501211049624 10.1177\/13506501211049624 Yuechang Wang, Abdullah Azam, Mark\u00a0CT Wilson, Anne Neville, and Ardian Morina. 2021. Generating fractal rough surfaces with the spectral representation method. P I Mech. Eng. J-J Eng. 235, 12 (2021), 2640\u20132653. https:\/\/doi.org\/10.1177\/13506501211049624 arXiv:https:\/\/doi.org\/10.1177\/13506501211049624","journal-title":"P I Mech. Eng. J-J Eng."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.commatsci.2018.05.014"}],"event":{"name":"SETN 2022: 12th Hellenic Conference on Artificial Intelligence","acronym":"SETN 2022","location":"Corfu Greece"},"container-title":["Proceedings of the 12th Hellenic Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549737.3549794","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3549737.3549794","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:55Z","timestamp":1750183795000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549737.3549794"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,7]]},"references-count":19,"alternative-id":["10.1145\/3549737.3549794","10.1145\/3549737"],"URL":"https:\/\/doi.org\/10.1145\/3549737.3549794","relation":{},"subject":[],"published":{"date-parts":[[2022,9,7]]},"assertion":[{"value":"2022-09-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}