{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:16:56Z","timestamp":1759364216325,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032027245","type":"print"},{"value":"9783032027252","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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\/978-3-032-02725-2_44","type":"book-chapter","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:37:56Z","timestamp":1759279076000},"page":"561-574","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MORENA: Empty Images Detection Based on\u00a0Unsupervised Reconstruction Error Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4763-1071","authenticated-orcid":false,"given":"David de la","family":"Rosa","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7891-3059","authenticated-orcid":false,"given":"Mar\u00eda Jos\u00e9","family":"del Jesus","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6670-564X","authenticated-orcid":false,"given":"Mar\u00eda Dolores","family":"P\u00e9rez-Godoy","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3083-8942","authenticated-orcid":false,"given":"Francisco","family":"Charte","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"44_CR1","unstructured":"Trolliet, F., Vermeulen, C., Huynen, M., Hambuckers, A.: Use of camera traps for wildlife studies. A review Biotechnologie, Agronomie, Soci\u00e9t\u00e9 et Environnement, 18(3), pp.446\u2013454, 2014"},{"key":"44_CR2","unstructured":"HLEG AI. A definition of AI: main capabilities and scientific disciplines. Ethics guidelines for trustworthy AI, p. 6, 2019"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature, 521:436\u201344 (2015)","DOI":"10.1038\/nature14539"},{"issue":"1","key":"44_CR4","doi-asserted-by":"publisher","first-page":"132","DOI":"10.3390\/ani10010132","volume":"10","author":"SE Green","year":"2020","unstructured":"Green, S.E., Rees, J.P., Stephens, P.A., Hill, R.A., Giordano, A.J.: Innovations in camera trapping technology and approaches: the integration of citizen science and artificial Intelligence. Animals 10(1), 132 (2020)","journal-title":"Animals"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Cunningham, P., Cord, M., Delany, S.J.: Supervised Learning. Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval, pp. 21\u201349. Springer Berlin Heidelberg, 2008","DOI":"10.1007\/978-3-540-75171-7_2"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Celebi, M.E., Aydin.: Unsupervised learning algorithms, vol. 9. 1-558. Springer, 2016","DOI":"10.1007\/978-3-319-24211-8"},{"key":"44_CR7","doi-asserted-by":"crossref","unstructured":"de\u00a0la Rosa, D., et al.: NOSpcimen: a First Approach to Unsupervised Discarding of Empty Photo Trap Images. In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, vol. 14135, pp. 39\u201351, Ponta Delgada, Portugal (2023). Springer","DOI":"10.1007\/978-3-031-43078-7_4"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Charte, D., Charte, F., Garc\u00eda, S., del Jesus,M.J., Herrera, F.: A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines. Information Fusion, 44:78\u201396 (2018)","DOI":"10.1016\/j.inffus.2017.12.007"},{"key":"44_CR9","volume":"3","author":"S Beery","year":"2019","unstructured":"Beery, S., Morris, D., Yang, S., Simon, M., Norouzzadeh, A., Joshi, N.: Efficient pipeline for automating species id in new camera trap projects. Biodivers. Inf. Sci. Stand. 3, e37222 (2019)","journal-title":"Biodivers. Inf. Sci. Stand."},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 779\u2013788, Los Alamitos, CA, USA, June 27-30. 2016. IEEE Computer Society","DOI":"10.1109\/CVPR.2016.91"},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Whytock, R.C., et\u00a0al.: Robust ecological analysis of camera trap data labelled by a machine learning model. Meth. Ecol. Evol. 12(6):1080\u20131092 (2021)","DOI":"10.1111\/2041-210X.13576"},{"key":"44_CR12","doi-asserted-by":"publisher","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity Mappings in Deep Residual Networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 630\u2013645. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_38","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"Tabak, M.A., et\u00a0al.: Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. Ecol. evol. 10(19):10374\u201310383, 2020","DOI":"10.1002\/ece3.6692"},{"key":"44_CR14","doi-asserted-by":"crossref","unstructured":"Norouzzadeh,M.S., et al .: Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Procee. Nat. Acad. Sci. 115(25):E5716\u2013E5725, 2018","DOI":"10.1073\/pnas.1719367115"},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Jorge\u00a0A Ahumada, Eric Fegraus, Tanya Birch, Nicole Flores, Roland Kays, Timothy\u00a0G O\u2019Brien, Jonathan Palmer, Stephanie Schuttler, Jennifer\u00a0Y Zhao, Walter Jetz, et\u00a0al. Wildlife Insights: A Platform to Maximize the Potential of Camera Trap and Other Passive Sensor Wildlife Data for the Planet. Environmental Conservation, 47(1):1\u20136, 2019","DOI":"10.1017\/S0376892919000298"},{"key":"44_CR16","doi-asserted-by":"crossref","unstructured":"Ahumada, J.A., et\u00a0al.: Wildlife insights: a platform to maximize the potential of camera trap and other passive sensor wildlife data for the planet. Environ. Conserv. 47(1):1\u20136, 2019","DOI":"10.1017\/S0376892919000298"},{"key":"44_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2019.101021","volume":"55","author":"W Wei","year":"2020","unstructured":"Wei, W., Luo, G., Ran, J., Li, J.: Zilong: a tool to identify empty images in camera-trap data. Eco. Inform. 55, 101021 (2020)","journal-title":"Eco. Inform."},{"key":"44_CR18","doi-asserted-by":"crossref","unstructured":"Penn, M.J, et al.: Sherlock\u2014A flexible, low-resource tool for processing camera-trapping images. Meth. Ecol. Evol. 15(1):91\u2013102, 2024","DOI":"10.1111\/2041-210X.14254"},{"key":"44_CR19","doi-asserted-by":"crossref","unstructured":"Qi, Y., Wang, Y., Zheng, X., Wu, Z.: Robust feature learning by stacked autoencoder with maximum correntropy criterion. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6716\u20136720, Florence, Italy (2014). IEEE Computer Society","DOI":"10.1109\/ICASSP.2014.6854900"},{"issue":"2","key":"44_CR20","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"44_CR21","unstructured":"Diederik\u00a0P Kingma and Max Welling. Auto-Encoding Variational Bayes. In 2nd International Conference on Learning Representations, Banff, Canada, April 14-16. 2014. ICLR"},{"key":"44_CR22","unstructured":"Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. In 5th International Conference on Learning Representations, Toulon, France, April 24-26. 2017. ICLR"},{"key":"44_CR23","unstructured":"Kingma,D.P., Welling, M.: Auto-Encoding variational bayes. In: 2nd International Conference on Learning Representations. Banff, Canada, (2014). ICLR"},{"key":"44_CR24","doi-asserted-by":"crossref","unstructured":"Preechakul, K., Chatthee, N., Wizadwongsa, S., Suwajanakorn, S.: Diffusion autoencoders: toward a meaningful and decodable representation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10619\u201310629 (2022)","DOI":"10.1109\/CVPR52688.2022.01036"},{"key":"44_CR25","unstructured":"Alvarez, A., Hehmeyer, W., de Ayala, R. P., Jimenez, I.: Seguimiento lince wwf espa\u00f1a. Accessed via wildlifeinsights.org on 2023-12-14, 2020. URL: http:\/\/n2t.net\/ark:\/63614\/w12001260 Last updated December 2023"},{"key":"44_CR26","doi-asserted-by":"crossref","unstructured":"Xu, R., Wunsch, D.: Survey of clustering algorithms. In: IEEE Transactions on Neural Networks, 16(3):645\u2013678, 2005","DOI":"10.1109\/TNN.2005.845141"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02725-2_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:38:04Z","timestamp":1759279084000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02725-2_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9783032027245","9783032027252"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02725-2_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"A Coru\u00f1a","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}