{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:48:26Z","timestamp":1730231306075,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icasspw59220.2023.10193353","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T13:30:54Z","timestamp":1690983054000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of Driver\u2019s Stress Affection in Simulated Autonomous Driving Scenarios"],"prefix":"10.1109","author":[{"given":"Valerio","family":"De Caro","sequence":"first","affiliation":[{"name":"University of Pisa,Department of Computer Science,Pisa,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Herbert","family":"Danzinger","sequence":"additional","affiliation":[{"name":"AVL List GmbH,Graz,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"Gallicchio","sequence":"additional","affiliation":[{"name":"University of Pisa,Department of Computer Science,Pisa,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clemens","family":"K\u00f6ncz\u00f6l","sequence":"additional","affiliation":[{"name":"University of Graz,Institute of Psychology,Graz,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincenzo","family":"Lomonaco","sequence":"additional","affiliation":[{"name":"University of Pisa,Department of Computer Science,Pisa,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mina","family":"Marmpena","sequence":"additional","affiliation":[{"name":"Information Technology for Market Leadership,Athens,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sevasti","family":"Politi","sequence":"additional","affiliation":[{"name":"Information Technology for Market Leadership,Athens,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"Veledar","sequence":"additional","affiliation":[{"name":"Graz University of Technology,Institute of Technical Informatics,Graz,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davide","family":"Bacciu","sequence":"additional","affiliation":[{"name":"University of Pisa,Department of Computer Science,Pisa,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103139"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.12.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14428\/esann\/2022.ES2022-98"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"ref11","first-page":"65","article-title":"A gradient rule for the plasticity of a neuron’s intrinsic excitability","author":"triesch","year":"2005","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2007.04.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COINS51742.2021.9524099"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/science.1091277"},{"key":"ref7","article-title":"The” echo state” approach to analysing and training recurrent neural networks-with an erratum note’","volume":"148","author":"jaeger","year":"2001","journal-title":"Bonn Germany German National Research Center for Information Technology GMD Technical Report"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.cosrev.2009.03.005","article-title":"Reservoir computing approaches to recurrent neural network training","volume":"3","author":"luko\u0161evi?ius","year":"2009","journal-title":"Computer Science Review"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/en15030781"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DSD53832.2021.00069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85099-9_14"},{"key":"ref5","article-title":"Ai-as-a-service toolkit for human-centered intelligence in autonomous driving","author":"caro","year":"2022","journal-title":"Proceedings of the 20th International Conference on Pervasive Computing and Communications (PerCom 2022)"}],"event":{"name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10192576\/10192577\/10193353.pdf?arnumber=10193353","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T13:42:19Z","timestamp":1692625339000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10193353\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icasspw59220.2023.10193353","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}