{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T22:30:56Z","timestamp":1730327456287,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","funder":[{"name":"e Institute for Big Data Analytics (IBDA)"},{"name":"Ocean Frontier Institute (OFI) at Dalhousie University"},{"name":"anada First Research Excellence Fund (CFREF)"},{"name":"Canadian Foundation for Innova- tion MERIDIAN cyberinfrastructure"},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["777695"],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Sciences and Engineering Research Council of Canada (NSERC)","award":["RGPIN-2022-0390"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,13]]},"DOI":"10.1145\/3615885.3628008","type":"proceedings-article","created":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T15:55:40Z","timestamp":1700582140000},"page":"25-29","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Data Augmentation Algorithm for Trajectory Data"],"prefix":"10.1145","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-7996-1960","authenticated-orcid":false,"given":"Yaksh","family":"J. Haranwala","sequence":"first","affiliation":[{"name":"Memorial University of Newfoundland, St. John's, Canada"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8437-4349","authenticated-orcid":false,"given":"Gabriel","family":"Spadon","sequence":"additional","affiliation":[{"name":"Dalhousie University, Halifax, Canada"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1763-2966","authenticated-orcid":false,"given":"Chiara","family":"Renso","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology A. Faedo National Research Council, Pisa, Italy"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5957-3805","authenticated-orcid":false,"given":"Amilcar","family":"Soares","sequence":"additional","affiliation":[{"name":"Linnaeus University, V\u00e4xj\u00f6, Sweden"}]}],"member":"320","published-online":{"date-parts":[[2023,11,21]]},"reference":[{"volume-title":"Generative adversarial nets. Advances in neural information processing systems 27","year":"2014","author":"Goodfellow I.","key":"e_1_3_2_1_1_1","unstructured":"Goodfellow , I. , Pouget-Abadie , J. , Mirza , M. , Xu , B. , Warde-Farley , D. , Ozair , S. , Courville , A. , and Bengio , Y . Generative adversarial nets. Advances in neural information processing systems 27 ( 2014 ). Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. Generative adversarial nets. Advances in neural information processing systems 27 (2014)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2022.101176"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM55031.2022.00059"},{"volume-title":"Analytic: An active learning system for trajectory classification","year":"2017","author":"J\u00fanior A. S.","key":"e_1_3_2_1_4_1","unstructured":"J\u00fanior , A. S. , Renso , C. , and Matwin , S . Analytic: An active learning system for trajectory classification . IEEE computer graphics and applications 37, 5 ( 2017 ), 28--39. J\u00fanior, A. S., Renso, C., and Matwin, S. Analytic: An active learning system for trajectory classification. IEEE computer graphics and applications 37, 5 (2017), 28--39."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2861006"},{"volume-title":"Data from: Goose parents lead migration v","year":"2020","author":"K\u00f6lzsch A.","key":"e_1_3_2_1_6_1","unstructured":"K\u00f6lzsch , A. , M\u00fcskens , G. , Glazov , P. , Kruckenberg , H. , and Wikelski , M . Data from: Goose parents lead migration v , 2020 . K\u00f6lzsch, A., M\u00fcskens, G., Glazov, P., Kruckenberg, H., and Wikelski, M. Data from: Goose parents lead migration v, 2020."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gltp.2022.04.020"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2022.100258"},{"key":"e_1_3_2_1_9_1","first-page":"29935","article-title":"Data augmentation can improve robustness","volume":"34","author":"Rebuffi S.-A.","year":"2021","unstructured":"Rebuffi , S.-A. , Gowal , S. , Calian , D. A. , Stimberg , F. , Wiles , O. , and Mann , T. A . Data augmentation can improve robustness . Advances in Neural Information Processing Systems 34 ( 2021 ), 29935 -- 29948 . Rebuffi, S.-A., Gowal, S., Calian, D. A., Stimberg, F., Wiles, O., and Mann, T. A. Data augmentation can improve robustness. Advances in Neural Information Processing Systems 34 (2021), 29935--29948.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2553228"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"volume-title":"Data from: Behavioural adaptations to fight into thin air","year":"2016","author":"Sherub S.","key":"e_1_3_2_1_12_1","unstructured":"Sherub , S. , Wikelski , M. , Fiedler , W. , and Davidson , S . Data from: Behavioural adaptations to fight into thin air , 2016 . Sherub, S., Wikelski, M., Fiedler, W., and Davidson, S. Data from: Behavioural adaptations to fight into thin air, 2016."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"volume-title":"Proceedings of the 22nd International Conference on Extending Database Technology (EDBT)","year":"2019","author":"Soares A.","key":"e_1_3_2_1_14_1","unstructured":"Soares , A. , Rose , J. , Etemad , M. , Renso , C. , and Matwin , S . VISTA: A visual analytics platform for semantic annotation of trajectories . In Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) ( 2019 ). Soares, A., Rose, J., Etemad, M., Renso, C., and Matwin, S. VISTA: A visual analytics platform for semantic annotation of trajectories. In Proceedings of the 22nd International Conference on Extending Database Technology (EDBT) (2019)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3197215"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0115231"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3440207"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367532"}],"event":{"name":"EMODE '23: 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Hamburg Germany","acronym":"EMODE '23"},"container-title":["Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3615885.3628008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,21]],"date-time":"2023-11-21T15:55:57Z","timestamp":1700582157000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615885.3628008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,13]]},"references-count":18,"alternative-id":["10.1145\/3615885.3628008","10.1145\/3615885"],"URL":"https:\/\/doi.org\/10.1145\/3615885.3628008","relation":{},"subject":[],"published":{"date-parts":[[2023,11,13]]},"assertion":[{"value":"2023-11-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}