{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:19:07Z","timestamp":1743146347655,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031431470"},{"type":"electronic","value":"9783031431487"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43148-7_26","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T20:48:35Z","timestamp":1693860515000},"page":"304-315","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Active Class Selection for\u00a0Dataset Acquisition in\u00a0Sign Language Recognition"],"prefix":"10.1007","author":[{"given":"Manuele","family":"Bicego","sequence":"first","affiliation":[]},{"given":"Manuel","family":"V\u00e1zquez-Enr\u00edquez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 L.","family":"Alba-Castro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Agarwal, A., Thakur, M.K.: Sign language recognition using Microsoft Kinect. In: Proceedings of International Conference on Contemporary Computing, pp. 181\u2013185 (2013)","DOI":"10.1109\/IC3.2013.6612186"},{"key":"26_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/978-3-030-58621-8_3","volume-title":"Computer Vision \u2013 ECCV 2020","author":"S Albanie","year":"2020","unstructured":"Albanie, S., et al.: BSL-1K: scaling up co-articulated sign language recognition using mouthing cues. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12356, pp. 35\u201353. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58621-8_3"},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Bunse, M., Morik, K.: Certification of model robustness in active class selection. In: Proceedings of ECML-PKDD, pp. 266\u2013281 (2021)","DOI":"10.1007\/978-3-030-86520-7_17"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Bunse, M., Weichert, D., Kister, A., Morik, K.: Optimal probabilistic classification in active class selection. In: Proceedings of ICDM, pp. 942\u2013947 (2020)","DOI":"10.1109\/ICDM50108.2020.00106"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Cakmak, M., Thomaz, A.L.: Designing robot learners that ask good questions. In: Proceedings of International Conference on Human-Robot Interaction, pp. 17\u201324 (2012)","DOI":"10.1145\/2157689.2157693"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Chuan, C.H., Regina, E., Guardino, C.: American sign language recognition using leap motion sensor. In: Proceedings of International Conference on Machine Learning and Applications, pp. 541\u2013544 (2014)","DOI":"10.1109\/ICMLA.2014.110"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Cooper, H., Holt, B., Bowden, R.: Sign language recognition. Visual Analysis of Humans: Looking at People, pp. 539\u2013562 (2011)","DOI":"10.1007\/978-0-85729-997-0_27"},{"issue":"1\u20132","key":"26_CR9","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/S0004-3702(96)00034-3","volume":"89","author":"TG Dietterich","year":"1997","unstructured":"Dietterich, T.G., Lathrop, R.H., Lozano-P\u00e9rez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell. 89(1\u20132), 31\u201371 (1997)","journal-title":"Artif. Intell."},{"key":"26_CR10","unstructured":"Doc\u00edo-Fern\u00e1ndez, L., et al.: LSE_UVIGO: a multi-source database for Spanish Sign Language recognition. In: Proceedings of International Workshop on the Representation and Processing of Sign Languages, pp. 45\u201352 (2020)"},{"key":"26_CR11","unstructured":"Grishchenko, I., et al.: Blazepose GHUM holistic: real-time 3d human landmarks and pose estimation. CoRR abs\/2206.11678 (2022)"},{"key":"26_CR12","unstructured":"Jedli\u010dka, P., Kr\u0148oul, Z., Kanis, J., \u017delezn\u1ef3, M.: Sign language motion capture dataset for data-driven synthesis. In: Proceedings International Conference on Language Resources and Evaluation (2020)"},{"key":"26_CR13","unstructured":"Kottke, D., et al.: Probabilistic active learning for active class selection. In: NeurIPS Workshop on the Future of Interactive Learning Machine (2016)"},{"key":"26_CR14","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.neucom.2011.11.023","volume":"92","author":"S Liu","year":"2012","unstructured":"Liu, S., Ding, W., Gao, F., Stepinski, T.F.: Adaptive selective learning for automatic identification of sub-kilometer craters. Neurocomputing 92, 78\u201387 (2012)","journal-title":"Neurocomputing"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Lomasky, R., Brodley, C.E., Aernecke, M., Walt, D., Friedl, M.: Active class selection. In: Proceedings of ECML, pp. 640\u2013647 (2007)","DOI":"10.1007\/978-3-540-74958-5_63"},{"issue":"1","key":"26_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-020-19334-3","volume":"11","author":"N Naik","year":"2020","unstructured":"Naik, N., et al.: Deep learning-enabled breast cancer hormonal receptor status determination from base-level H &E stains. Nat. Commun. 11(1), 1\u20138 (2020)","journal-title":"Nat. Commun."},{"issue":"2","key":"26_CR17","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1109\/TCE.2012.6227413","volume":"58","author":"TD Parsons","year":"2012","unstructured":"Parsons, T.D., Reinebold, J.L.: Adaptive virtual environments for neuropsychological assessment in serious games. IEEE Trans. Consum. Electron. 58(2), 197\u2013204 (2012)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"26_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113794","volume":"164","author":"R Rastgoo","year":"2021","unstructured":"Rastgoo, R., Kiani, K., Escalera, S.: Sign language recognition: a deep survey. Expert Syst. Appl. 164, 113794 (2021)","journal-title":"Expert Syst. Appl."},{"key":"26_CR19","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.chemolab.2013.10.012","volume":"130","author":"I Rodriguez-Lujan","year":"2014","unstructured":"Rodriguez-Lujan, I., Fonollosa, J., Vergara, A., Homer, M., Huerta, R.: On the calibration of sensor arrays for pattern recognition using the minimal number of experiments. Chemom. Intell. Lab. Syst. 130, 123\u2013134 (2014)","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"26_CR20","unstructured":"Settles, B.: Active learning literature survey. University of Wisconsin-Madison Department of Computer Sciences, Technical report (2009)"},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Vazquez-Enriquez, M., Alba-Castro, J.L., Doc\u00edo-Fern\u00e1ndez, L., Rodriguez-Banga, E.: Isolated sign language recognition with multi-scale spatial-temporal graph convolutional networks. In: CVPR Workshops, pp. 3462\u20133471 (2021)","DOI":"10.1109\/CVPRW53098.2021.00385"},{"key":"26_CR22","doi-asserted-by":"publisher","unstructured":"V\u00e1zquez Enr\u00edquez, M., Castro, J.L.A., Fernandez, L.D., Jacques Junior, J.C.S., Escalera, S.: ECCV 2022 sign spotting challenge: Dataset, design and results. In: Karlinsky, L., Michaeli, T., Nishino, K. (eds.) Computer Vision\u2013ECCV 2022 Workshops. ECCV 2022. LNCS, vol. 13808, pp. 225\u2013242. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-25085-9_13","DOI":"10.1007\/978-3-031-25085-9_13"},{"key":"26_CR23","doi-asserted-by":"crossref","unstructured":"Vazquez-Enriquez, M., Losada-Rodr\u00edguez, P., Gonz\u00e1lez-Cid, M., Alba-Castro, J.L.: Deep learning and collaborative training for reducing communication barriers with deaf people. In: Proceedings of Conference on Information Technology for Social Good (2021)","DOI":"10.1145\/3462203.3475912"},{"issue":"2","key":"26_CR24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0056624","volume":"8","author":"D Wu","year":"2013","unstructured":"Wu, D., Lance, B.J., Parsons, T.D.: Collaborative filtering for brain-computer interaction using transfer learning and active class selection. PLoS ONE 8(2), e56624 (2013)","journal-title":"PLoS ONE"},{"key":"26_CR25","doi-asserted-by":"crossref","unstructured":"Wu, D., Parsons, T.D.: Active class selection for arousal classification. In: Proceedings International Conference on Affective Computing and Intelligent Interaction, pp. 132\u2013141 (2011)","DOI":"10.1007\/978-3-642-24571-8_14"},{"key":"26_CR26","doi-asserted-by":"crossref","unstructured":"Wu, J., Tian, Z., Sun, L., Estevez, L., Jafari, R.: Real-time American sign language recognition using wrist-worn motion and surface EMG sensors. In: Proceedings of International Conference on Wearable and Implantable Body Sensor Networks, pp. 1\u20136 (2015)","DOI":"10.1109\/BSN.2015.7299393"},{"key":"26_CR27","doi-asserted-by":"crossref","unstructured":"Yan, S., Xiong, Y., Lin, D.: Spatial temporal graph convolutional networks for skeleton-based action recognition. In: Proceedings of AAAI (2018)","DOI":"10.1609\/aaai.v32i1.12328"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43148-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:39:57Z","timestamp":1710261597000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43148-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031431470","9783031431487"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43148-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"85","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}