{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:13:37Z","timestamp":1777529617460,"version":"3.51.4"},"reference-count":48,"publisher":"Informa UK Limited","issue":"2","funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Dipartimento di Matematica"},{"DOI":"10.13039\/501100006690","name":"Politecnico di Milano","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006690","id-type":"DOI","asserted-by":"publisher"}]},{"name":"INdAM GNCS - Gruppo Nazionale per il Calcolo Scientifico"},{"name":"National Group for Scientific Computing"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Technometrics"],"published-print":{"date-parts":[[2026,4,3]]},"DOI":"10.1080\/00401706.2025.2584479","type":"journal-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T16:24:53Z","timestamp":1762532693000},"page":"384-398","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["Functional-Ordinal Canonical Correlation Analysis with Application to Data from Optical Sensors"],"prefix":"10.1080","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1101-6329","authenticated-orcid":false,"given":"Giulia","family":"Patan\u00e8","sequence":"first","affiliation":[{"name":"MOX, Department of Mathematics, Politecnico di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federica","family":"Nicolussi","sequence":"additional","affiliation":[{"name":"MOX, Department of Mathematics, Politecnico di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Krauth","sequence":"additional","affiliation":[{"name":"Institute of Physical and Theoretical Chemistry (IPTC), Eberhard Karls Universit\u00e4t T\u00fcbingen","place":["T\u00fcbingen, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00fcnter","family":"Gauglitz","sequence":"additional","affiliation":[{"name":"Institute of Physical and Theoretical Chemistry (IPTC), Eberhard Karls Universit\u00e4t T\u00fcbingen","place":["T\u00fcbingen, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bianca Maria","family":"Colosimo","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Politecnico di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Dede\u2019","sequence":"additional","affiliation":[{"name":"MOX, Department of Mathematics, Politecnico di Milano","place":["Milano, Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandra","family":"Menafoglio","sequence":"additional","affiliation":[{"name":"Institute of Physical and Theoretical Chemistry (IPTC), Eberhard Karls Universit\u00e4t T\u00fcbingen","place":["T\u00fcbingen, Germany"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1982.tb01195.x"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-023-00577-z"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1214\/11-AOS923"},{"key":"e_1_3_4_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2020.100308"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-021-01787-y"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/s25134166"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.drudis.2006.10.003"},{"key":"e_1_3_4_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00216-010-3904-4"},{"key":"e_1_3_4_11_1","first-page":"1","article-title":"A Method of Canonical Correlation Analysis for Ordinal Data","volume":"44","author":"Itakura H.","year":"1982","unstructured":"Itakura, H., and Nishikawa, Y. (1982), \u201cA Method of Canonical Correlation Analysis for Ordinal Data,\u201d Memoirs of the Faculty of Engineering, Kyoto University, 44, 1\u201316.","journal-title":"Memoirs of the Faculty of Engineering, Kyoto University"},{"key":"e_1_3_4_12_1","first-page":"279","article-title":"\u201cData-Driven Bandwidth Choice for Density Estimation Based on Biased Cross-Validation,\u201d","volume":"34","author":"Hart J. D.","year":"1990","unstructured":"Hart, J. D., and Vieu, P. (1990), \u201cData-Driven Bandwidth Choice for Density Estimation Based on Biased Cross-Validation,\u201d Journal of Multivariate Analysis, 34, 279\u2013298.","journal-title":"Journal of Multivariate Analysis"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176324456"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177013604"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2003.06.003"},{"key":"e_1_3_4_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1970.10488634"},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0071325"},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/28.3-4.321"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3655-3"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2020.1802350"},{"key":"e_1_3_4_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssc.12563"},{"key":"e_1_3_4_22_1","volume-title":"Applied Multivariate Statistical Analysis","author":"Johnson R. A.","year":"2015","unstructured":"Johnson, R. A., and Wichern, D. W. (2015), Applied Multivariate Statistical Analysis (6th ed.), India: Pearson.","edition":"6"},{"key":"e_1_3_4_23_1","volume-title":"Elements of the Theory of Functions and Functional Analysis","author":"Kolmogorov A. N.","year":"1961","unstructured":"Kolmogorov, A. N., and Fomin, S. V. (1961), Elements of the Theory of Functions and Functional Analysis, Rochester, NY: Graylock Press."},{"key":"e_1_3_4_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-10428-4"},{"key":"e_1_3_4_25_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1993.tb01936.x"},{"key":"e_1_3_4_26_1","first-page":"123","volume-title":"Neural Information Processing ICONIP 2023. Communications in Computer and Information Science","author":"Li Y.","year":"2023","unstructured":"Li, Y., Li, B., Ding, J., Feng, Y., Ma, M., Han, Z., Xu, Y., and Xia, L. (2023), \u201cA Novel Framework for Forecasting Mental Stress Levels Based on Physiological Signals,\u201d in Neural Information Processing ICONIP 2023. Communications in Computer and Information Science (Vol. 1963), pp. 123\u2013138."},{"key":"e_1_3_4_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/s131013928"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.0108"},{"key":"e_1_3_4_29_1","article-title":"\u201cLearning to Segment Songs with Ordinal Linear Discriminant Analysis,\u201d","author":"McFee B.","year":"2014","unstructured":"McFee, B., and Ellis, D. P. W. (2014), \u201cLearning to Segment Songs with Ordinal Linear Discriminant Analysis,\u201d International Conference on Acoustics, Speech and Signal Processing (ICASSP).","journal-title":"International Conference on Acoustics, Speech and Signal Processing (ICASSP)"},{"key":"e_1_3_4_30_1","volume-title":"Proceedings of the 33rd International Conference on Machine Learning","author":"Michaeli T.","year":"2016","unstructured":"Michaeli, T., Wang, W., and Livescu, K. (2016), \u201cNonparametric Canonical Correlation Analysis,\u201d in Proceedings of the 33rd International Conference on Machine Learning."},{"key":"e_1_3_4_31_1","first-page":"107918","article-title":"\u201cComprehensive Review of Dimensionality Reduction Algorithms: Challenges, Limitations, and Innovative Solutions,\u201d","volume":"106","author":"Mishra A.","year":"2025","unstructured":"Mishra, A., Sengupta, A., and Pal, R. (2025), \u201cComprehensive Review of Dimensionality Reduction Algorithms: Challenges, Limitations, and Innovative Solutions,\u201d Computational Biology and Chemistry, 106, 107918.","journal-title":"Computational Biology and Chemistry"},{"key":"e_1_3_4_32_1","first-page":"209","article-title":"\u201cA Novel Framework for Classifying Major Depressive Disorder Using EEG Signals,\u201d","volume":"22","author":"Movahed R. A.","year":"2021","unstructured":"Movahed, R. A., Jahromi, G. P., Shahyad, S., and Meftahi, G. H. (2021), \u201cA Novel Framework for Classifying Major Depressive Disorder Using EEG Signals,\u201d Journal of Neuroscience Methods, 22, 209.","journal-title":"Journal of Neuroscience Methods"},{"key":"e_1_3_4_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9469.2005.00429.x"},{"key":"e_1_3_4_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cej.2024.151661"},{"key":"e_1_3_4_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13197-011-0437-6"},{"key":"e_1_3_4_36_1","volume-title":"Statistics in Practice","author":"Pawlowsky-Glahn V.","year":"2015","unstructured":"Pawlowsky-Glahn, V., Egozcue, J. J., and Tolosana-Delgado, R. (2015), Modeling and Analysis of Compositional Data, Statistics in Practice, Newark: Wiley."},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/b98888"},{"key":"e_1_3_4_38_1","first-page":"1099","volume-title":"2022 IEEE International Conference on Big Data (Big Data), Osaka","author":"Rao A. R.","year":"2022","unstructured":"Rao, A. R., Wang, H., and Gupta, C. (2022), \u201cFunctional Approach for Two Way Dimension Reduction in Time Series,\u201d in 2022 IEEE International Conference on Big Data (Big Data), Osaka, pp. 1099\u20131106."},{"key":"e_1_3_4_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02162161"},{"key":"e_1_3_4_40_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11193251"},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"e_1_3_4_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11112083"},{"key":"e_1_3_4_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.envres.2023.116826"},{"key":"e_1_3_4_44_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1033066196"},{"key":"e_1_3_4_45_1","first-page":"2625","article-title":"\u201cAutoencoders and their Applications in Machine Learning: A Survey,\u201d","volume":"57","author":"Tarekegn A. N.","year":"2024","unstructured":"Tarekegn A. N., Yang J., Younas M., et\u00a0al. (2024), \u201cAutoencoders and their Applications in Machine Learning: A Survey,\u201d Artificial Intelligence Review, 57, 2625\u20132657.","journal-title":"Artificial Intelligence Review"},{"key":"e_1_3_4_46_1","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1545"},{"key":"e_1_3_4_47_1","doi-asserted-by":"publisher","DOI":"10.1111\/sjos.12660"},{"key":"e_1_3_4_48_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2021.1882013"},{"key":"e_1_3_4_49_1","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOAS448"}],"container-title":["Technometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00401706.2025.2584479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T16:39:47Z","timestamp":1777394387000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00401706.2025.2584479"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,29]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4,3]]}},"alternative-id":["10.1080\/00401706.2025.2584479"],"URL":"https:\/\/doi.org\/10.1080\/00401706.2025.2584479","relation":{},"ISSN":["0040-1706","1537-2723"],"issn-type":[{"value":"0040-1706","type":"print"},{"value":"1537-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,29]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=utch20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=utch20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-01-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-27","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-10-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}