{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T17:13:20Z","timestamp":1778087600185,"version":"3.51.4"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032253101","type":"print"},{"value":"9783032253118","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-25311-8_25","type":"book-chapter","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:33:02Z","timestamp":1778085182000},"page":"316-330","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced Boosting-Based Transfer Learning for\u00a0Modeling Ecological Momentary Assessment Data"],"prefix":"10.1007","author":[{"given":"Mandani","family":"Ntekouli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerasimos","family":"Spanakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lourens","family":"Waldorp","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Roefs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,7]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Al-Stouhi, S., Reddy, C.K.: Adaptive boosting for transfer learning using dynamic updates. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I 11, pp. 60\u201375. Springer (2011)","DOI":"10.1007\/978-3-642-23780-5_14"},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s10115-015-0870-3","volume":"48","author":"S Al-Stouhi","year":"2016","unstructured":"Al-Stouhi, S., Reddy, C.K.: Transfer learning for class imbalance problems with inadequate data. Knowl. Inf. Syst. 48, 201\u2013228 (2016)","journal-title":"Knowl. Inf. Syst."},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1146\/annurev-clinpsy-050212-185608","volume":"9","author":"D Borsboom","year":"2013","unstructured":"Borsboom, D., Cramer, A.O.: Network analysis: an integrative approach to the structure of psychopathology. Annu. Rev. Clin. Psychol. 9, 91\u2013121 (2013)","journal-title":"Annu. Rev. Clin. Psychol."},{"issue":"4","key":"25_CR4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0060188","volume":"8","author":"LF Bringmann","year":"2013","unstructured":"Bringmann, L.F., et al.: A network approach to psychopathology: new insights into clinical longitudinal data. PLoS ONE 8(4), e60188 (2013)","journal-title":"PLoS ONE"},{"key":"25_CR5","unstructured":"Cuturi, M.: Fast global alignment kernels. In: Proceedings of the 28th International Conference on Machine Learning (ICML-11), pp. 929\u2013936 (2011)"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Dai, W., Yang, Q., Xue, G.R., Yu, Y.: Boosting for transfer learning. In: Proceedings of the 24th International Conference on Machine Learning, pp. 193\u2013200 (2007)","DOI":"10.1145\/1273496.1273521"},{"issue":"5","key":"25_CR7","doi-asserted-by":"publisher","first-page":"2361","DOI":"10.1007\/s10902-020-00324-7","volume":"22","author":"LP De Vries","year":"2021","unstructured":"De Vries, L.P., Baselmans, B.M., Bartels, M.: Smartphone-based ecological momentary assessment of well-being: a systematic review and recommendations for future studies. J. Happiness Stud. 22(5), 2361\u20132408 (2021)","journal-title":"J. Happiness Stud."},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Fried, E.I., van Borkulo, C.D., Cramer, A.n.O., Boschloo, L., Schoevers, R.A., Borsboom, D.: Mental disorders as networks of problems: a review of recent insights. Soc. Psych. Psychiatric Epidemiol. 52, 1\u201310 (2017)","DOI":"10.1007\/s00127-016-1319-z"},{"issue":"6","key":"25_CR9","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1177\/1745691617705892","volume":"12","author":"EI Fried","year":"2017","unstructured":"Fried, E.I., Cramer, A.O.: Moving forward: challenges and directions for psychopathological network theory and methodology. Perspect. Psychol. Sci. 12(6), 999\u20131020 (2017)","journal-title":"Perspect. Psychol. Sci."},{"issue":"2","key":"25_CR10","doi-asserted-by":"publisher","first-page":"40","DOI":"10.3390\/technologies11020040","volume":"11","author":"M Iman","year":"2023","unstructured":"Iman, M., Arabnia, H.R., Rasheed, K.: A review of deep transfer learning and recent advancements. Technologies 11(2), 40 (2023)","journal-title":"Technologies"},{"issue":"2","key":"25_CR11","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1093\/schbul\/sby171","volume":"45","author":"G Koppe","year":"2019","unstructured":"Koppe, G., Guloksuz, S., Reininghaus, U., Durstewitz, D.: Recurrent neural networks in mobile sampling and intervention. Schizophr. Bull. 45(2), 272\u2013276 (2019)","journal-title":"Schizophr. Bull."},{"key":"25_CR12","unstructured":"Mart\u00ednez, A.J., Lemmens, L., Fried, E.I., Roefs, A.: Developing a transdiagnostic ecological momentary assessment protocol for psychopathology (2023)"},{"key":"25_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.copsyc.2021.01.004","volume":"41","author":"M Mestdagh","year":"2021","unstructured":"Mestdagh, M., Dejonckheere, E.: Ambulatory assessment in psychopathology research: current achievements and future ambitions. Curr. Opin. Psychol. 41, 1\u20138 (2021)","journal-title":"Curr. Opin. Psychol."},{"key":"25_CR14","unstructured":"Nagesh, S., et\u00a0al.: Transformers for prompt-level ema non-response prediction. arXiv preprint arXiv:2111.01193 (2021)"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Ntekouli, M., Spanakis, G., Waldorp, L., Roefs, A.: Clustering individuals based on multivariate ema time-series data. In: The Annual Meeting of the Psychometric Society, pp. 161\u2013171. Springer (2022)","DOI":"10.1007\/978-3-031-27781-8_15"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Ntekouli, M., Spanakis, G., Waldorp, L., Roefs, A.: Using explainable boosting machine to compare idiographic and nomothetic approaches for ecological momentary assessment data. In: International Symposium on Intelligent Data Analysis, pp. 199\u2013211. Springer (2022)","DOI":"10.1007\/978-3-031-01333-1_16"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Ntekouli, M., Spanakis, G., Waldorp, L., Roefs, A.: Exploiting individual graph structures to enhance ecological momentary assessment (ema) forecasting. In: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), pp. 158\u2013166. IEEE (2024)","DOI":"10.1109\/ICDEW61823.2024.00027"},{"key":"25_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.brat.2022.104096","volume":"153","author":"A Roefs","year":"2022","unstructured":"Roefs, A., et al.: A new science of mental disorders: using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology. Behav. Res. Ther. 153, 104096 (2022)","journal-title":"Behav. Res. Ther."},{"issue":"9","key":"25_CR19","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1017\/S0033291719000151","volume":"49","author":"AB Shatte","year":"2019","unstructured":"Shatte, A.B., Hutchinson, D.M., Teague, S.J.: Machine learning in mental health: a scoping review of methods and applications. Psychol. Med. 49(9), 1426\u20131448 (2019)","journal-title":"Psychol. Med."},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Trull, T.J., Ebner-Priemer, U.W.: Using experience sampling methods\/ecological momentary assessment (ESM\/EMA) in clinical assessment and clinical research: introduction to the special section (2009)","DOI":"10.1037\/a0017653"},{"issue":"1","key":"25_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss, K., Khoshgoftaar, T.M., Wang, D.D.: A survey of transfer learning. J. Big Data 3(1), 1\u201340 (2016). https:\/\/doi.org\/10.1186\/s40537-016-0043-6","journal-title":"J. Big Data"},{"key":"25_CR22","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1146\/annurev-clinpsy-102419-125032","volume":"16","author":"AG Wright","year":"2020","unstructured":"Wright, A.G., Woods, W.C.: Personalized models of psychopathology. Annu. Rev. Clin. Psychol. 16, 49\u201374 (2020)","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Yao, Y., Doretto, G.: Boosting for transfer learning with multiple sources. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1855\u20131862. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5539857"},{"issue":"1","key":"25_CR24","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","volume":"109","author":"F Zhuang","year":"2020","unstructured":"Zhuang, F., et al.: A comprehensive survey on transfer learning. Proc. IEEE 109(1), 43\u201376 (2020)","journal-title":"Proc. IEEE"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-25311-8_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:33:10Z","timestamp":1778085190000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-25311-8_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032253101","9783032253118"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-25311-8_25","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"7 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2024.ecmlpkdd.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}