{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T05:55:39Z","timestamp":1783403739731,"version":"3.54.6"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010667","name":"H2020 Project TEACHING","doi-asserted-by":"publisher","award":["871385"],"award-info":[{"award-number":["871385"]}],"id":[{"id":"10.13039\/100010667","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Industrial Research Project funded by Biobeats Group Ltd."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tnnls.2022.3172871","type":"journal-article","created":{"date-parts":[[2022,5,13]],"date-time":"2022-05-13T19:27:52Z","timestamp":1652470072000},"page":"1800-1807","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5213-2468","authenticated-orcid":false,"given":"Davide","family":"Bacciu","sequence":"first","affiliation":[{"name":"Dipartimento di Informatica, Universitè di Pisa, Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Davide","family":"Morelli","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering, University of Oxford, Oxford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2885-2005","authenticated-orcid":false,"given":"Vlad","family":"Pandelea","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.11.070"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1049\/htl.2017.0039"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s19143163"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899744"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10724"},{"key":"ref6","article-title":"Joint modeling of event sequence and time series with attentional twin recurrent neural networks","author":"Xiao","year":"2017","journal-title":"arXiv:1703.08524"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198536932.001.0001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1971.tb01530.x"},{"key":"ref9","article-title":"A tutorial on Hawkes processes for events in social media","author":"Rizoiu","year":"2017","journal-title":"arXiv:1708.06401"},{"key":"ref10","article-title":"Temporal point processes: The conditional intensity function","author":"Rasmussen","year":"2011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOAS789"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.144"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939875"},{"key":"ref14","article-title":"Neural jump stochastic differential equations","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Jia","year":"2019"},{"key":"ref15","first-page":"85","article-title":"Neural temporal point processes for modelling electronic health records","volume-title":"Proc. Mach. Learn. Health NeurIPS Workshop","volume":"136","author":"Enguehard"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2984508"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"issue":"1","key":"ref20","first-page":"82","article-title":"Recurrent convolutional neural networks for scene labeling","volume-title":"Proc. 31st Int. Conf. Mach. Learn. (ICML)","volume":"32","author":"Pinheiro"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2017.00258"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.30773\/pi.2017.08.17"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00421-007-0594-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/ab3dea"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2889776"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207550"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10091960\/09775001.pdf?arnumber=9775001","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:15:56Z","timestamp":1705961756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9775001\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":28,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3172871","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}