{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:59:13Z","timestamp":1762642753468,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T00:00:00Z","timestamp":1662508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,7]]},"DOI":"10.1145\/3549737.3549787","type":"proceedings-article","created":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T16:29:59Z","timestamp":1662740999000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Human Activity Recognition using Time Series Feature Extraction and Active Learning"],"prefix":"10.1145","author":[{"given":"Vangjel","family":"Kazllarof","sequence":"first","affiliation":[{"name":"Department of Mathematics, University of Patras, Greece"}]},{"given":"Sotiris","family":"Kotsiantis","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Patras, Greece"}]}],"member":"320","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2020.100456"},{"key":"e_1_3_2_1_2_1","first-page":"4","article-title":"Human Activity Recognition Based on Dynamic Active Learning","volume":"25","author":"Bi Haixia","year":"2021","unstructured":"Haixia Bi , Miquel Perello-Nieto , Raul Santos-Rodriguez , and Peter Flach . 2021 . Human Activity Recognition Based on Dynamic Active Learning . IEEE J. Biomed. Heal. Informatics 25 , 4 (April 2021), 922\u2013934. DOI:https:\/\/doi.org\/10.1109\/JBHI.2020.3013403 10.1109\/JBHI.2020.3013403 Haixia Bi, Miquel Perello-Nieto, Raul Santos-Rodriguez, and Peter Flach. 2021. Human Activity Recognition Based on Dynamic Active Learning. IEEE J. Biomed. Heal. Informatics 25, 4 (April 2021), 922\u2013934. DOI:https:\/\/doi.org\/10.1109\/JBHI.2020.3013403","journal-title":"IEEE J. Biomed. Heal. Informatics"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2499621"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42486-020-00026-2"},{"key":"e_1_3_2_1_5_1","volume-title":"UCI Machine Learning Repository","author":"Dua Dheeru","year":"2021","unstructured":"Dheeru Dua and Casey Graff . 2019. UCI Machine Learning Repository . University of California , Irvine, School of Information and Computer Sciences. Retrieved March 21, 2021 from http:\/\/archive.ics.uci.edu\/ml Dheeru Dua and Casey Graff. 2019. UCI Machine Learning Repository. University of California, Irvine, School of Information and Computer Sciences. Retrieved March 21, 2021 from http:\/\/archive.ics.uci.edu\/ml"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20082200"},{"key":"e_1_3_2_1_8_1","volume-title":"Retrieved","author":"Gupta Gaurav","year":"2019","unstructured":"Gaurav Gupta , Anit Kumar Sahu , and Wan Yi Lin . 2019 . Noisy Batch Active Learning with Deterministic Annealing. (September 2019) . Retrieved March 13, 2021 from http:\/\/arxiv.org\/abs\/1909.12473 Gaurav Gupta, Anit Kumar Sahu, and Wan Yi Lin. 2019. Noisy Batch Active Learning with Deterministic Annealing. (September 2019). Retrieved March 13, 2021 from http:\/\/arxiv.org\/abs\/1909.12473"},{"key":"e_1_3_2_1_9_1","volume-title":"Neural Networks: A Guided Tour. Soft Comput. Intell. Syst. (January","author":"SIMON","year":"2000","unstructured":"SIMON HAYKIN. 2000 . Neural Networks: A Guided Tour. Soft Comput. Intell. Syst. (January 2000), 71\u201380. DOI:https:\/\/doi.org\/10.1016\/B978-012646490-0\/50007-X 10.1016\/B978-012646490-0 SIMON HAYKIN. 2000. Neural Networks: A Guided Tour. Soft Comput. Intell. Syst. (January 2000), 71\u201380. DOI:https:\/\/doi.org\/10.1016\/B978-012646490-0\/50007-X"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2010.5581050"},{"key":"e_1_3_2_1_11_1","volume-title":"Online active learning for human activity recognition from sensory data streams. Neurocomputing 390, (May","author":"Mohamad Saad","year":"2020","unstructured":"Saad Mohamad , Moamar Sayed-Mouchaweh , and Abdelhamid Bouchachia . 2020. Online active learning for human activity recognition from sensory data streams. Neurocomputing 390, (May 2020 ), 341\u2013358. DOI:https:\/\/doi.org\/10.1016\/J.NEUCOM.2019.08.092 10.1016\/J.NEUCOM.2019.08.092 Saad Mohamad, Moamar Sayed-Mouchaweh, and Abdelhamid Bouchachia. 2020. Online active learning for human activity recognition from sensory data streams. Neurocomputing 390, (May 2020), 341\u2013358. DOI:https:\/\/doi.org\/10.1016\/J.NEUCOM.2019.08.092"},{"key":"e_1_3_2_1_12_1","article-title":"Scikit-learn: Machine Learning in Python","author":"Pedregosa Fabian","year":"2012","unstructured":"Fabian Pedregosa , Gael Varoquaux , Alexandre Gramfort , Vincent Michel , Bertrand Thirion , Olivier Grisel , Mathieu Blondel , Peter Prettenhofer , Ron Weiss , Vincent Dubourg , Jake Vanderplas , Alexandre Passos , David Cournapeau , Matthieu Brucher , Matthieu Perrot , and \u00c9douard Duchesnay . 2012 . Scikit-learn: Machine Learning in Python . J. Mach. Learn. Res. 12 , ( January 2012), 2825\u20132830. DOI:https:\/\/doi.org\/10.48550\/arxiv.1201.0490 10.48550\/arxiv.1201.0490 Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and \u00c9douard Duchesnay. 2012. Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12, (January 2012), 2825\u20132830. DOI:https:\/\/doi.org\/10.48550\/arxiv.1201.0490","journal-title":"J. Mach. Learn. Res. 12"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01560-1"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the NIPS Workshop on Cost-Sensitive Learning, 1\u201310","author":"Settles Burr","year":"2008","unstructured":"Burr Settles , Mark Craven , and Lewis Friedl . 2008 . Active Learning with Real Annotation Costs . In Proceedings of the NIPS Workshop on Cost-Sensitive Learning, 1\u201310 . Burr Settles, Mark Craven, and Lewis Friedl. 2008. Active Learning with Real Annotation Costs. In Proceedings of the NIPS Workshop on Cost-Sensitive Learning, 1\u201310."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CHASE.2017.115"},{"key":"e_1_3_2_1_16_1","first-page":"1","article-title":"A systematic review of smartphone-based human activity recognition methods for health research. npj Digit","volume":"4","author":"Straczkiewicz Marcin","year":"2021","unstructured":"Marcin Straczkiewicz , Peter James , and Jukka Pekka Onnela . 2021 . A systematic review of smartphone-based human activity recognition methods for health research. npj Digit . Med. 4 , 1 (October 2021), 1\u201315. DOI:https:\/\/doi.org\/10.1038\/s41746-021-00514-4 10.1038\/s41746-021-00514-4 Marcin Straczkiewicz, Peter James, and Jukka Pekka Onnela. 2021. A systematic review of smartphone-based human activity recognition methods for health research. npj Digit. Med. 4, 1 (October 2021), 1\u201315. DOI:https:\/\/doi.org\/10.1038\/s41746-021-00514-4","journal-title":"Med."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448112"},{"key":"#cr-split#-e_1_3_2_1_18_1.1","unstructured":"Yao-Yuan Yang Shao-Chuan Lee Yu-An Chung Tung-En Wu Si-An Chen and Hsuan-Tien Lin. 2017. libact: Pool-based Active Learning in Python. DOI:https:\/\/doi.org\/10.48550\/arxiv.1710.00379 10.48550\/arxiv.1710.00379"},{"key":"#cr-split#-e_1_3_2_1_18_1.2","unstructured":"Yao-Yuan Yang Shao-Chuan Lee Yu-An Chung Tung-En Wu Si-An Chen and Hsuan-Tien Lin. 2017. libact: Pool-based Active Learning in Python. DOI:https:\/\/doi.org\/10.48550\/arxiv.1710.00379"}],"event":{"name":"SETN 2022: 12th Hellenic Conference on Artificial Intelligence","acronym":"SETN 2022","location":"Corfu Greece"},"container-title":["Proceedings of the 12th Hellenic Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549737.3549787","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3549737.3549787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:55Z","timestamp":1750183795000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3549737.3549787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,7]]},"references-count":19,"alternative-id":["10.1145\/3549737.3549787","10.1145\/3549737"],"URL":"https:\/\/doi.org\/10.1145\/3549737.3549787","relation":{},"subject":[],"published":{"date-parts":[[2022,9,7]]},"assertion":[{"value":"2022-09-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}