{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:05:51Z","timestamp":1760598351390,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031679766"},{"type":"electronic","value":"9783031679773"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-67977-3_10","type":"book-chapter","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T09:02:24Z","timestamp":1724058144000},"page":"87-97","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Conflict Management in\u00a0a\u00a0Distance to\u00a0Prototype-Based Evidential Deep Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8028-0573","authenticated-orcid":false,"given":"Mihreteab Negash","family":"Geletu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5536-1140","authenticated-orcid":false,"given":"D\u0103nu\u0163-Vasile","family":"Giurgi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8287-2122","authenticated-orcid":false,"given":"Thomas","family":"Josso-Laurain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1458-3855","authenticated-orcid":false,"given":"Maxime","family":"Devanne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5891-8418","authenticated-orcid":false,"given":"Jean-Philippe","family":"Lauffenburger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3474-9186","authenticated-orcid":false,"given":"Jean","family":"Dezert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,20]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","DOI":"10.1515\/9780691214696","volume-title":"A Mathematical Theory of Evidence","author":"G Shafer","year":"1976","unstructured":"Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Caltagirone, L., Bellone, M., Svensson, L., Wahde, M.: LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks (2018)","DOI":"10.1109\/IVS.2017.7995848"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Xu, P., Davoine, F., Den\u0153ux, T.: Evidential combination of pedestrian detectors. In: British Machine Vision Conference, pp. 1\u201314 (2014)","DOI":"10.5244\/C.28.2"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Capellier, E., et al.: A deep evidential learning for arbitrary lidar object classification in the context of autonomous driving. In: Proceedings of 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 1304\u20131311 (2019)","DOI":"10.1109\/IVS.2019.8813846"},{"issue":"9","key":"10_CR5","doi-asserted-by":"publisher","first-page":"6376","DOI":"10.1007\/s10489-021-02327-0","volume":"51","author":"Z Tong","year":"2021","unstructured":"Tong, Z., Xu, P., Den\u0153ux, T.: Evidential fully convolutional network for semantic segmentation. Appl. Intell. 51(9), 6376\u20136399 (2021)","journal-title":"Appl. Intell."},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Li, O., Liu, H., Chen, C., Rudin, C.: Deep learning for case-based reasoning through prototypes: a neural network that explains its predictions. In: Proceedings of the AAAI Conference on Artificial Intelligence (2018)","DOI":"10.1609\/aaai.v32i1.11771"},{"key":"10_CR7","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Geletu, M.N., Giurgi, D-V., Josso-Laurain, T., Devanne, M., Wogari, M.M., Lauffenburger, J-P.: Evidential deep learning-based multi-modal environment perception for intelligent vehicles. In: Intelligent Vehicles Symposium (IV), Anchorage, USA (2023)","DOI":"10.1109\/IV55152.2023.10186581"},{"key":"10_CR9","unstructured":"Martin, A., Jousselme, A.-L., Osswald, C.: Conflict measure for the discounting operation on belief functions. In: International Conference on Information Fusion, Cologne, Germany (2008)"},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.ijar.2011.07.006","volume":"53","author":"A-L Jousselme","year":"2011","unstructured":"Jousselme, A.-L., Maupin, P.: Distances in evidence theory: comprehensive survey and generalizations. Int. J. Approximate Reasoning 53, 118\u2013145 (2011)","journal-title":"Int. J. Approximate Reasoning"},{"issue":"2","key":"10_CR11","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/3468.833094","volume":"30","author":"T Den\u0153ux","year":"2000","unstructured":"Den\u0153ux, T.: A neural network classifier based on Dempster-Shafer theory. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 30(2), 131\u2013150 (2000)","journal-title":"IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum."},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1177\/0278364913491297","volume":"32","author":"A Geiger","year":"2013","unstructured":"Geiger, A., et al.: Vision meets robotics: the KITTI dataset. Int. J. Robot. Res. (IJRR) 32, 1231\u20131237 (2013)","journal-title":"Int. J. Robot. Res. (IJRR)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Dezert, J., Han, D., Tacnet, J.-M., Carladous, S., Yang, Y.: Decision-making with belief interval distance. In: Proceedings of Belief 2016 International Conference, Prague, CZ, 21\u201323 September (2016)","DOI":"10.1007\/978-3-319-45559-4_7"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Premebida, C., et al.: Pedestrian detection combining RGB and dense lidar data. In: Proceedings of 2014 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 4112\u20134117 (2014)","DOI":"10.1109\/IROS.2014.6943141"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Parkhi, O.M., et al.: Cats and dogs. In: IEEE Conference on Computer Vision and Pattern Recognition (2012)","DOI":"10.1109\/CVPR.2012.6248092"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.ijar.2022.06.007","volume":"149","author":"L Huang","year":"2022","unstructured":"Huang, L., Ruan, S., Decazes, P., Den\u0153ux, T.: Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approximate Reasoning 149, 39\u201360 (2022)","journal-title":"Int. J. Approximate Reasoning"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Tchamova, A., Dezert, J.: On the behavior of dempster\u2019s rule of combination and the foundations of Dempster-Shafer theory. In: IEEE IS 2012, Sofia, Bulgaria, 6\u20138 September (2012)","DOI":"10.1109\/IS.2012.6335122"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Fritsch, J., Kuehnl, T., Geiger, A.: A new performance measure and evaluation benchmark for road detection algorithms. In: International Conference on Intelligent Transportation Systems (ITSC) (2013)","DOI":"10.1109\/ITSC.2013.6728473"}],"container-title":["Lecture Notes in Computer Science","Belief Functions: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-67977-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T09:03:40Z","timestamp":1724058220000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-67977-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031679766","9783031679773"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-67977-3_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"20 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"BELIEF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Belief Functions","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belfast","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"belief2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}