{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:25:15Z","timestamp":1766427915446,"version":"3.37.3"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01GM135927"],"award-info":[{"award-number":["R01GM135927"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Joint Division of Mathematical Science (DMS)\/National Institute of General Medical Sciences (NIGMS) Initiative to Support Research at the Interface of the Biological and Mathematical Sciences"},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["2200161"],"award-info":[{"award-number":["2200161"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3329818","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T17:56:48Z","timestamp":1699034208000},"page":"1-14","source":"Crossref","is-referenced-by-count":3,"title":["Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1112-4653","authenticated-orcid":false,"given":"Eun Som","family":"Jeon","sequence":"first","affiliation":[{"name":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0973-9541","authenticated-orcid":false,"given":"Hongjun","family":"Choi","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, Livermore, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1878-2667","authenticated-orcid":false,"given":"Ankita","family":"Shukla","sequence":"additional","affiliation":[{"name":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5871-9497","authenticated-orcid":false,"given":"Yuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5130-3162","authenticated-orcid":false,"given":"Matthew P.","family":"Buman","sequence":"additional","affiliation":[{"name":"College of Health Solutions, Arizona State University, Phoenix, AZ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5263-5943","authenticated-orcid":false,"given":"Pavan","family":"Turaga","sequence":"additional","affiliation":[{"name":"Geometric Media Laboratory, School of Arts, Media and Engineering, and the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF56349.2022.10052019"},{"key":"ref2","first-page":"1","article-title":"Persistence images: A stable vector representation of persistent homology","volume":"18","author":"Adams","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0257215"},{"key":"ref4","first-page":"6900","article-title":"Uncovering the topology of time-varying fMRI data using cubical persistence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Rieck"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00425"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9176285"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2790386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2021.681108"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1090\/mbk\/069"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2789925"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3063497"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3224597"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3235436"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3139038"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.10.074"},{"key":"ref17","article-title":"Many-to-one knowledge distillation of real-time epileptic seizure detection for low-power wearable Internet of Things systems","author":"Baghersalimi","year":"2022","journal-title":"arXiv:2208.00885"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106407"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897730"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.048"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747534"},{"key":"ref22","article-title":"A short survey of topological data analysis in time series and systems analysis","author":"Gholizadeh","year":"2018","journal-title":"arXiv:1809.10745"},{"key":"ref23","first-page":"24871","article-title":"Topological attention for time series forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Zeng"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00454-002-2885-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2147327"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150464"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00489"},{"key":"ref29","first-page":"1","article-title":"FitNets: Hints for thin deep nets","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Romero"},{"key":"ref30","first-page":"1","article-title":"Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Zagoruyko"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00145"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098135"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054698"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1126\/science.220.4598.671"},{"volume-title":"Nature-Inspired Optimization Algorithms","year":"2020","author":"Yang","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.212"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3207146"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1595"},{"journal-title":"Scikit-TDA: Topological data analysis for Python","year":"2019","author":"Saul","key":"ref39"},{"key":"ref40","first-page":"1","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Long"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591270"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995808"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.vrih.2020.10.004"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91253-0_10"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01163"},{"key":"ref48","first-page":"33716","article-title":"Knowledge distillation from a stronger teacher","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Huang"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00075"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.263"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.525"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727224"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.01.025"},{"key":"ref56","first-page":"1","article-title":"An analysis of eating activities for automatic food type recognition","volume-title":"Proc. Asia Pacific Signal Inf. Process. Assoc. Annu. Summit Conf.","author":"Kim"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/631"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962152"},{"key":"ref59","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Guo"},{"volume-title":"NVIDIA Titan XP","year":"2016","key":"ref60"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/19\/10012124\/10308705-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10308705.pdf?arnumber=10308705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T13:31:13Z","timestamp":1709386273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10308705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3329818","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2023]]}}}