{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T04:40:24Z","timestamp":1761194424775,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032090362","type":"print"},{"value":"9783032090379","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T00:00:00Z","timestamp":1761264000000},"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\/978-3-032-09037-9_29","type":"book-chapter","created":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T04:36:50Z","timestamp":1761194210000},"page":"373-388","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Scholar Dropout Analysis in\u00a0Technological Universities Subsystem Using Neural Network-Based Models: UT-Puebla Case"],"prefix":"10.1007","author":[{"given":"Paulo","family":"Daniel V\u00e1zquez Mora","sequence":"first","affiliation":[]},{"given":"Perfecto","family":"Malaqu\u00edas Flores Quintero","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9","family":"David Alan\u00eds Urquieta","sequence":"additional","affiliation":[]},{"given":"Erika","family":"Rodallegas Ramos","sequence":"additional","affiliation":[]},{"given":"Mar\u00eda","family":"del Rosario Ochoa Montiel","sequence":"additional","affiliation":[]},{"given":"Brian","family":"Manuel Gonz\u00e1lez Contreras","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,24]]},"reference":[{"key":"29_CR1","unstructured":"ANUIES: Anuarios Estad\u00edsticos de Educaci\u00f3n Superior (2023). https:\/\/www.anuies.mx\/informacion-y-servicios\/informacion-estadistica-de-educacion-superior\/anuario-estadistico-de-educacion-superior"},{"key":"29_CR2","unstructured":"INEGI: Caracter\u00edsticas educativas de la poblaci\u00f3n (2022). https:\/\/www.inegi.org.mx\/temas\/educacion\/"},{"key":"29_CR3","unstructured":"OCDE: Education at a Glance 2022: OECD Indicators, OECD Publishing, France (2022)"},{"key":"29_CR4","unstructured":"SEP: Estad\u00edstica Educativa (2024). https:\/\/www.planeacion.sep.gob.mx\/estadisticaeducativas.aspx"},{"key":"29_CR5","unstructured":"Prontuario MECASUT: Modelo de Evaluaci\u00f3n de la Calidad de Universidades Tecnol\u00f3gicas y Polit\u00e9cnicas. https:\/\/dgutyp.sep.gob.mx\/MecasuTP.php (2022)"},{"key":"29_CR6","unstructured":"Suleyman, A.S., Nigmet, K.: Predicting student dropout using machine learning algorithms. Intell. Methods Eng. Sci. 91\u201398 (2024)"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Salas, F., Caldas, J.: Predicting undergraduate academic performance in a leading Peruvian university: a machine learning approach. Educaci\u00f3n XXXIII(64), 55\u201385 (2024). http:\/\/www.scielo.org.pe\/pdf\/educ\/v33n64\/2304-4322-educ-33-64-55.pdf","DOI":"10.18800\/educacion.202401.M003"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Andrade-Gir\u00f3n, D., Sandivar-Rosas et al.: Predicting Student Dropout based on Machine Learning and Deep Learning: A Systematic Review. EAI Endorsed Transactions on Scalable Information Systems. https:\/\/publications.eai.eu\/index.php\/sis\/article\/view\/3586\/2431 (2023)","DOI":"10.4108\/eetsis.3586"},{"key":"29_CR9","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.dsm.2024.07.001","volume":"8","author":"AM Rabelo","year":"2025","unstructured":"Rabelo, A.M., Z\u00e1rate, L.E.: A model for predicting dropout of higher education students. Data Sci. Manag. 8, 72\u201385 (2025)","journal-title":"Data Sci. Manag."},{"key":"29_CR10","doi-asserted-by":"crossref","unstructured":"Park, H.-S., Yoo, S.-J., Gu, Y.-H.: Deep learning-based early dropout prediction in university online learning. Int. J. Inf. Vis 1218\u20131225. (2025)","DOI":"10.62527\/joiv.9.3.4258"},{"key":"29_CR11","unstructured":"Haykin, S.: Neural Networks and Learning Machines (3rd ed.). Pearson Education (2009)"},{"key":"29_CR12","unstructured":"Nielsen, M.A.: Neural Networks and Deep Learning. Determination Press (2015)"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015). https:\/\/hal.science\/hal-04206682","DOI":"10.1038\/nature14539"},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Bahi, M., Batouche, M.: Deep learning for ligand-based virtual screening in drug discovery. 3rd International Conference on Pattern Analysis and Intelligent Systems (2018). https:\/\/www.researchgate.net\/publication\/330120030","DOI":"10.1109\/PAIS.2018.8598488"},{"key":"29_CR15","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016). https:\/\/www.deeplearningbook.org\/"},{"key":"29_CR16","unstructured":"Van-Hiep, P., Eun-Joo, R.: A high-accuracy model average ensemble of convolutional neural networks for classification of cloud image patches on small datasets. Applied Science (2019). https:\/\/www.researchgate.net\/publication\/336805909"}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-09037-9_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T04:36:55Z","timestamp":1761194215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-09037-9_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,24]]},"ISBN":["9783032090362","9783032090379"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-09037-9_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,24]]},"assertion":[{"value":"24 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guanajuato","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","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":"3 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2025","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":"micai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/micai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}