{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T05:15:23Z","timestamp":1744262123865,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"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":[[2024,9,4]]},"DOI":"10.1109\/inista62901.2024.10683862","type":"proceedings-article","created":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T17:22:01Z","timestamp":1727198521000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels"],"prefix":"10.1109","author":[{"given":"Jiang","family":"You","sequence":"first","affiliation":[{"name":"Universit&#x00E9; Paris-Est Cr&#x00E9;teil,\u00cele-de-France,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arben","family":"Cela","sequence":"additional","affiliation":[{"name":"ESIEE Paris-UGE,\u00cele-de-France,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ren\u00e9","family":"Natowicz","sequence":"additional","affiliation":[{"name":"ESIEE Paris-UGE,\u00cele-de-France,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob","family":"Ouanounou","sequence":"additional","affiliation":[{"name":"HN-Services,\u00cele-de-France,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Siarry","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; Paris-Est Cr&#x00E9;teil,\u00cele-de-France,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref2","first-page":"22419","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref4","article-title":"Non-stationary transformers: Exploring the stationarity in time series forecasting","author":"Liu","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.04.167"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2017.04.066"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2018.8404313"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tsg.2017.2753802"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04954-0"},{"key":"ref10","first-page":"11","article-title":"Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting","author":"Li","year":"2019"},{"key":"ref11","first-page":"27268","article-title":"FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting","volume-title":"Proceedings of the 39th International Conference on Machine Learning","author":"Zhou"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"International Conference on Learning Representations","author":"Nie","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26422-1_3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"9th International Conference on Learning Representations, ICLR 2021, Virtual Event","author":"Dosovitskiy","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"article-title":"Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting","volume-title":"International Conference on Learning Representations.","author":"Liu","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref22","article-title":"U-time: A fully convolutional network for time series segmentation applied to sleep staging","volume":"32","author":"Perslev","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2022.102192"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1466-0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-022-01918-6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298714"},{"key":"ref28","first-page":"1254","article-title":"Semantic relation classification via hierarchical recurrent neural network with attention","volume-title":"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers","author":"Xiao"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-134"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2017.8210813"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"article-title":"Instance normalization: The missing ingredient for fast stylization","year":"2017","author":"Ulyanov","key":"ref32"}],"event":{"name":"2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","start":{"date-parts":[[2024,9,4]]},"location":"Craiova, Romania","end":{"date-parts":[[2024,9,6]]}},"container-title":["2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10683750\/10683751\/10683862.pdf?arnumber=10683862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T05:16:34Z","timestamp":1727241394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10683862\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,4]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/inista62901.2024.10683862","relation":{},"subject":[],"published":{"date-parts":[[2024,9,4]]}}}