{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:24:46Z","timestamp":1763202286910},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030283766"},{"type":"electronic","value":"9783030283773"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-28377-3_32","type":"book-chapter","created":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T23:02:44Z","timestamp":1566946964000},"page":"393-402","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Detection and Modeling of Alcohol Intoxication Dynamic from IR Images Based on Clustering Driven by ABC Algorithm"],"prefix":"10.1007","author":[{"given":"Jan","family":"Kubicek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alice","family":"Krestanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marek","family":"Penhaker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Oczka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Cerny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Augustynek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,9]]},"reference":[{"key":"32_CR1","doi-asserted-by":"crossref","unstructured":"Kubicek, J., Augustynek, M., Penhaker, M., Cerny, M., Oczka, D.: Analysis and modeling of alcohol intoxication from IR images based on multiregional image segmentation and correlation with breath analysis. In: 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, January 2018, pp. 49\u201354 (2018)","DOI":"10.1109\/ICBDAA.2017.8284106"},{"issue":"2","key":"32_CR2","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1037\/abn0000333","volume":"127","author":"TT Mallard","year":"2018","unstructured":"Mallard, T.T., Ashenhurst, J.R., Harden, K.P., Fromme, K.: GABRA2, alcohol, and illicit drug use: an event-level model of genetic risk for polysubstance use. J. Abnorm. Psychol. 127(2), 190\u2013201 (2018)","journal-title":"J. Abnorm. Psychol."},{"issue":"7","key":"32_CR3","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1037\/adb0000308","volume":"31","author":"KA Hallgren","year":"2017","unstructured":"Hallgren, K.A., McCrady, B.S., Caudell, T.P., Witkiewitz, K., Tonigan, J.S.: Simulating drinking in social networks to inform alcohol prevention and treatment efforts. Psychol. Addict. Behav. 31(7), 763\u2013774 (2017)","journal-title":"Psychol. Addict. Behav."},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-016-4205-5","volume":"77","author":"X Luo","year":"2018","unstructured":"Luo, X., Li, X., Wang, P., Qi, S., Guan, J., Zhang, Z.: Infrared and visible image fusion based on NSCT and stacked sparse autoencoders. Multimed. Tools Appl. 77, 1\u201325 (2018)","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"32_CR5","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1109\/LGRS.2018.2797538","volume":"15","author":"D Zeng","year":"2018","unstructured":"Zeng, D., Zhu, M.: Multiscale fully convolutional network for foreground object detection in infrared videos. IEEE Geosci. Remote Sens. Lett. 15(4), 617\u2013621 (2018)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"1","key":"32_CR6","doi-asserted-by":"publisher","first-page":"141","DOI":"10.18287\/2412-6179-2018-42-1-141-148","volume":"42","author":"YB Blokhinov","year":"2018","unstructured":"Blokhinov, Y.B., Gorbachev, V.A., Rakutin, Y.O., Nikitin, A.D.: A real-time semantic segmentation algorithm for aerial imagery. Comput. Opt. 42(1), 141\u2013148 (2018)","journal-title":"Comput. Opt."},{"key":"32_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/978-3-319-75420-8_34","volume-title":"Intelligent Information and Database Systems","author":"J Kubicek","year":"2018","unstructured":"Kubicek, J., Penhaker, M., Augustynek, M., Cerny, M., Oczka, D., Maresova, P.: Detection and dynamical tracking of temperature facial distribution caused by alcohol intoxication with using of modified OTSU regional segmentation. In: Nguyen, N.T., Hoang, D.H., Hong, T.-P., Pham, H., Trawi\u0144ski, B. (eds.) ACIIDS 2018. LNCS (LNAI), vol. 10752, pp. 357\u2013366. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-75420-8_34"},{"issue":"1","key":"32_CR8","doi-asserted-by":"publisher","first-page":"1850008","DOI":"10.1142\/S021969131850008X","volume":"16","author":"Y Wu","year":"2018","unstructured":"Wu, Y., Sun, H., Liu, P.: A novel fast detection method of infrared LSS-Target in complex urban background. Int. J. Wavelets Multiresolution Inf. Process. 16(1), 1850008 (2018)","journal-title":"Int. J. Wavelets Multiresolution Inf. Process."},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Piniarski, K., Pawlowski, P.: Efficient pedestrian detection with enhanced object segmentation in far IR night vision. In: Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA, September 2017, Article no. 8166857, pp. 160\u2013165 (2017)","DOI":"10.23919\/SPA.2017.8166857"},{"key":"32_CR10","unstructured":"Suchotzki, K., Gamer, M.: Alcohol facilitates detection of concealed identity information. Sci. Rep. 8(1) (2018). Article no. 7825"},{"key":"32_CR11","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.conbuildmat.2018.05.075","volume":"176","author":"M Cao","year":"2018","unstructured":"Cao, M., Li, L.: New models for predicting workability and toughness of hybrid fiber reinforced cement-based composites. Constr. Build. Mater. 176, 618\u2013628 (2018)","journal-title":"Constr. Build. Mater."},{"issue":"7","key":"32_CR12","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1111\/add.14173","volume":"113","author":"C Probst","year":"2018","unstructured":"Probst, C., Manthey, J., Merey, A., Rylett, M., Rehm, J.: Unrecorded alcohol use: a global modelling study based on nominal group assessments and survey data. Addiction 113(7), 1231\u20131241 (2018)","journal-title":"Addiction"},{"key":"32_CR13","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.foodres.2018.04.013","volume":"109","author":"O Viry","year":"2018","unstructured":"Viry, O., Boom, R., Avison, S., Pascu, M., Bodn\u00e1r, I.: A predictive model for flavor partitioning and protein-flavor interactions in fat-free dairy protein solutions. Food Res. Int. 109, 52\u201358 (2018)","journal-title":"Food Res. Int."},{"key":"32_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.neulet.2018.04.007","volume":"676","author":"X Hu","year":"2018","unstructured":"Hu, X., Du, X., Kerich, M., Lohoff, F.W., Momenan, R.: Random forest based classification of alcohol dependence patients and healthy controls using resting state MRI. Neurosci. Lett. 676, 27\u201333 (2018)","journal-title":"Neurosci. Lett."},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"23095","DOI":"10.3390\/s150923095","volume":"15","author":"B Fida","year":"2015","unstructured":"Fida, B., Bernabucci, I., Bibbo, D., Conforto, S., Schmid, M.: Pre-processing effect on the accuracy of event-based activity segmentation and classification through inertial sensors. Sensors 15, 23095\u201323109 (2015)","journal-title":"Sensors"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Bibbo, D., Conforto, S., Bernabucci, I., Carli, M., Schmid, M., D\u2019Alessio, T.: Analysis of different image-based biofeedback models for improving cycling performances. In: Egiazarian, K.O., Agaian, S.S., Gotchev, A.P., Recker, J., Wang, G. (eds.) Image Processing: Algorithms and Systems X and Parallel Processing for Imaging Applications Ii, vol. 8295 (2012)","DOI":"10.1117\/12.910605"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-28377-3_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T23:14:58Z","timestamp":1566947698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-28377-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030283766","9783030283773"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-28377-3_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hendaye","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iccci.sigappfr.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}