{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:12:41Z","timestamp":1743095561073,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031349591"},{"type":"electronic","value":"9783031349607"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34960-7_29","type":"book-chapter","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T15:04:08Z","timestamp":1687964648000},"page":"413-427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transparent Machine Learning Algorithms for\u00a0Explainable AI on\u00a0Motor fMRI Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4101-2748","authenticated-orcid":false,"given":"Jos\u00e9 Diogo","family":"Marques dos Santos","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8832-5640","authenticated-orcid":false,"given":"David","family":"Machado","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9606-3086","authenticated-orcid":false,"given":"Manuel","family":"Fortunato","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,29]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","unstructured":"Uluda\u011f, K., Dubowitz, D.J., Yoder, E.J., Restom, K., Liu, T.T., Buxton, R.B.: Coupling of cerebral blood flow and oxygen consumption during physiological activation and deactivation measured with fMRI. NeuroImage 23(1), 148\u2013155 (2004). https:\/\/doi.org\/10.1016\/j.neuroimage.2004.05.013. ISSN 1053-8119","DOI":"10.1016\/j.neuroimage.2004.05.013"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"DC Van Essen","year":"2013","unstructured":"Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E.J., Yacoub, E., Ugurbil, K.: The WU-Minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013). https:\/\/doi.org\/10.1016\/j.neuroimage.2013.05.041","journal-title":"Neuroimage"},{"issue":"12","key":"29_CR3","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1093\/aje\/kwz189","volume":"188","author":"Q Bi","year":"2019","unstructured":"Bi, Q., Goodman, K.E., Kaminsky, J., Lessler, J.: What is machine learning? A primer for the epidemiologist. Am. J. Epidemiol. 188(12), 2222\u20132239 (2019). https:\/\/doi.org\/10.1093\/aje\/kwz189","journal-title":"Am. J. Epidemiol."},{"key":"29_CR4","doi-asserted-by":"publisher","first-page":"51","DOI":"10.20544\/HORIZONS.B.04.1.17.P05","volume":"4","author":"V Nasteski","year":"2017","unstructured":"Nasteski, V.: An overview of the supervised machine learning methods. Horizons. b 4, 51\u201362 (2017)","journal-title":"Horizons. b"},{"issue":"1 Suppl.","key":"29_CR5","doi-asserted-by":"publisher","first-page":"S199","DOI":"10.1016\/j.neuroimage.2008.11.007","volume":"45","author":"F Pereira","year":"2009","unstructured":"Pereira, F., Mitchell, T., Botvinick, M.: Machine learning classifiers and fMRI: a tutorial overview. Neuroimage 45(1 Suppl.), S199\u2013S209 (2009). https:\/\/doi.org\/10.1016\/j.neuroimage.2008.11.007","journal-title":"Neuroimage"},{"issue":"1","key":"29_CR6","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.neuroimage.2010.05.051","volume":"53","author":"M Misaki","year":"2010","unstructured":"Misaki, M., Kim, Y., Bandettini, P.A., Kriegeskorte, N.: Comparison of multivariate classifiers and response normalizations for pattern-information fMRI. Neuroimage 53(1), 103\u2013118 (2010). https:\/\/doi.org\/10.1016\/j.neuroimage.2010.05.051","journal-title":"Neuroimage"},{"key":"29_CR7","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1152\/jn.00339.2011","volume":"106","author":"RL Buckner","year":"2011","unstructured":"Buckner, R.L., Krienen, F.M., Castellanos, A., Diaz, J.C., Yeo, B.T.T.: The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 2322\u20132345 (2011). https:\/\/doi.org\/10.1152\/jn.00339.2011","journal-title":"J. Neurophysiol."},{"key":"29_CR8","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","volume":"106","author":"BTT Yeo","year":"2011","unstructured":"Yeo, B.T.T., et al.: The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125\u20131165 (2011). https:\/\/doi.org\/10.1152\/jn.00338.2011","journal-title":"J. Neurophysiol."},{"key":"29_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-031-07802-6_22","volume-title":"Bioinformatics and Biomedical Engineering","author":"JD Marques dos Santos","year":"2022","unstructured":"Marques dos Santos, J.D., Marques dos Santos, J.P.: Towards XAI: interpretable shallow neural network used to model HCP\u2019s fMRI motor paradigm data. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortu\u00f1o, F. (eds.) IWBBIO 2022. LNCS, vol. 13347, pp. 260\u2013274. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-07802-6_22"},{"key":"29_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/978-3-031-25891-6_31","volume-title":"Machine Learning, Optimization, and Data Science","author":"JD Marques dos Santos","year":"2023","unstructured":"Marques dos Santos, J.D., Marques dos Santos, J.P.: Path weights analyses in a shallow neural network to reach explainable artificial intelligence (XAI) of fMRI data. In: Nicosia, G., et al. (eds.) LOD 2022. LNCS, vol. 13811, pp. 417\u2013431. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-25891-6_31"},{"key":"29_CR11","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1109\/TMI.2003.822821","volume":"23","author":"CF Beckmann","year":"2004","unstructured":"Beckmann, C.F., Smith, S.M.: Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imaging 23, 137\u2013152 (2004). https:\/\/doi.org\/10.1109\/TMI.2003.822821","journal-title":"IEEE Trans. Med. Imaging"},{"key":"29_CR12","unstructured":"Minka, T.P.: Automatic choice of dimensionality for PCA. Technical report 514. MIT Media Lab Vision and Modeling Group, MIT (2000)"},{"key":"29_CR13","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/72.761722","volume":"10","author":"A Hyv\u00e4rinen","year":"1999","unstructured":"Hyv\u00e4rinen, A.: Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. Neural Netw. 10, 626\u2013634 (1999). https:\/\/doi.org\/10.1109\/72.761722","journal-title":"IEEE Trans. Neural Netw."},{"key":"29_CR14","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1002\/(SICI)1097-0193(1998)6:5\/6%3c373::AID-HBM8%3e3.0.CO;2-P","volume":"6","author":"RL Buckner","year":"1998","unstructured":"Buckner, R.L.: Event-related fMRI and the hemodynamic response. Hum. Brain Mapp. 6, 373\u2013377 (1998). https:\/\/doi.org\/10.1002\/(SICI)1097-0193(1998)6:5\/6<373::AID-HBM8>3.0.CO;2-P","journal-title":"Hum. Brain Mapp."}],"container-title":["Lecture Notes in Computer Science","Bioinformatics and Biomedical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34960-7_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T15:07:06Z","timestamp":1687964826000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34960-7_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031349591","9783031349607"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34960-7_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"29 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWBBIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Bioinformatics and Biomedical Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Meloneras, Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwbbio2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwbbio.ugr.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"203","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"79","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}