{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T03:40:52Z","timestamp":1769744452671,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10649906","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Explaining Supervisor Set for Machine Learning Methods"],"prefix":"10.1109","author":[{"given":"Andrzej","family":"Nowakowski","sequence":"first","affiliation":[{"name":"University of Lodz,Faculty of Mathematics and Computer Science,Lodz,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Fulma\u0144ski","sequence":"additional","affiliation":[{"name":"University of Lodz,Faculty of Mathematics and Computer Science,Lodz,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta","family":"Lipnicka","sequence":"additional","affiliation":[{"name":"University of Lodz,Faculty of Mathematics and Computer Science,Lodz,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"1","article-title":"Distributed optimization and statistical learning via the alternating direction method of multipliers","author":"Boyd","year":"2011","journal-title":"Trends Mach. Learn."},{"issue":"1","key":"ref2","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6420\/aa9a90","article-title":"Stable architectures for deep neural networks","volume":"34","author":"Haber","year":"2017","journal-title":"Inverse Problems"},{"key":"ref3","first-page":"18","article-title":"Maximum principle based algorithms for deep learning","author":"Qianxiao","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","author":"Yiping","year":"2017","journal-title":"Beyond finite layer neural net-works: Bridging deep architectures and numerical differential equations"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/978-981-15-4095-0_11","volume-title":"Deep reinforcement learning","author":"Zhang","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s40304-017-0103-z"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20518-8_44"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44673-7_12"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"issue":"10","key":"ref11","article-title":"A mean-field optimal control formulation of deep learning","volume":"6","author":"Weinan","year":"2019","journal-title":"Research in the Mathematical Sciences"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-008-9367-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.550"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9939-1992-1102860-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/sam.11263"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10472-017-9538-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-92666-3_26"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mma.8391"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106033"},{"key":"ref20","article-title":"An optimal control approach to deep learning and applications to discrete-weight neural networks","volume-title":"Proceedings of the 35 th International Conference on Machine Learning, 2018","author":"Qianxiao"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-7539-4_2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/01630560600698160"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/10984697_1"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10649906.pdf?arnumber=10649906","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T07:05:25Z","timestamp":1725951925000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10649906\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10649906","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}