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Adaptação e Validação para Português Europeu das Escalas Categories Auditory Pe...
Roque Reis, Luí S.; Gani, Kaamil; Sá Pereira, André; Peres, Carlota; Nunes, Gonçalo; Santos, Ricardo; O'Neill, Assunção; Escada, PedroINTRODUCTION: The Categories of Auditory Performance II (CAP-II) scale and the Infant-Toddler Meaningful Audit Integration Scale (IT-MAIS) are simple and quick questionnaires that allow assessment of the auditory performance of children with cochlear implant (CI). The aim of this study was to translate, adapt and validate the European Portuguese version of the CAP-II and IT-MAIS scales. METHODS: A total of 85 p...
Using early clickstream data to identify at-risk students in higher education
Santos, Ricardo; Henriques, RobertoSantos, R., & Henriques, R. (2024). Using early clickstream data to identify at-risk students in higher education: an LSTM-based approach. In L. G. Chova, C. G. Martínez, & J. Lees (Eds.), 16th International Conference on Education and New Learning Technologies 1-3 July, 2024 Palma, Spain (pp. 6216-6225). (EDULEARN24 Proceedings; No. 2024). IATED Academy. https://doi.org/10.21125/edulearn.2024.1471; Identifying...
ChatGPT in exam rooms
Pesovski, Ivica; Santos, Ricardo; Henriques, Roberto; Trajkovik, VladimirPesovski, I., Santos, R., Henriques, R., & Trajkovik, V. (2024). ChatGPT in exam rooms: preliminary insights into student performance with and without AI assistance. In L. G. Chova, C. G. Martínez, & J. Lees (Eds.), 16th International Conference on Education and New Learning Technologies 1-3 July, 2024 Palma, Spain (pp. 5908-5914). (EDULEARN24 Proceedings; No. 2024). IATED Academy. https://doi.org/10.21125/edul...
Predicting bootcamp success
Santos, Ricardo; Pesovski, Ivica; Henriques, Roberto; Trajkovik, VladimirSantos, R., Pesovski, I., Henriques, R., & Trajkovik, V. (2024). Predicting bootcamp success: using regression to leverage preparatory course data for tech career transitions. In L. G. Chova, C. G. Martínez, & J. Lees (Eds.), 16th International Conference on Education and New Learning Technologies 1-3 July, 2024 Palma, Spain (pp. 6181-6190). (EDULEARN24 Proceedings; No. 2024). IATED Academy. https://doi.org/10....
Antimicrobial Resistance Genes in Legionella from Artificial Water Systems
Pereira, Bernardo Beirão; Marrafa, Mário; Cruz, Carolina; Rodrigues, Lúcia; Nunes, Filipa; Monteiro, Silvia; Santos, Ricardo; Carneiro, Rui NevesBackground: Legionella species are the causative agent of Legionnaires’ disease and, as ubiquitous waterborne bacteria, are prone to antimicrobial resistance gene (ARG) acquisition and dissemination due to the antimicrobial contamination of natural environments. Given the potential health risks associated with ARGs, it is crucial to assess their presence in the Legionella population. Methods: The ARGs lpeAB and...
Deep learning for ECG classification
Narotamo, Hemaxi; Dias, Mariana; Santos, Ricardo; Carreiro, André V.; Gamboa, Hugo; Silveira, MargaridaPublisher Copyright: © 2024 The Author(s); The improved diagnosis of cardiovascular diseases (CVD) from electrocardiograms (ECG) may help prevent their severity. Since Deep Learning (DL) became popular, several DL methods have been developed for ECG classification. In this work, we compare how different methods for ECG signal representation perform in the multi-label classification of CVDs, including recent att...
Predicting post-discharge complications in cardiothoracic surgery
Santos, Ricardo; Ribeiro, Bruno; Sousa, Inês; Santos, Jorge; Guede-Fernández, Federico; Dias, Pedro; Carreiro, André V.; Gamboa, Hugo; Coelho, PedroFunding Information: This work was done under the project “CardioFollow.AI: An intelligent system to improve patients' safety and remote surveillance in follow-up for cardiothoracic surgery”, and supported by national funds through ‘FCT – Portuguese Foundation for Science and Technology , I.P.’, with reference DSAIPA/AI/0094/2020 . Publisher Copyright: © 2023 The Author(s); Cardiac surgery patients are highly p...
Grouping Bachelor's Students According To Their Moodle Interaction Profiles
Santos, Ricardo; Henriques, RobertoSantos, R., & Henriques, R. (2023). Grouping Bachelor's Students According To Their Moodle Interaction Profiles: A K-Means Clustering Approach. In L. Gómez Chova, C. González Martínez, & J. Lees (Eds.), 15th International Conference on Education and New Learning Technologies July 3rd-5th, 2023 Palma, Spain (pp. 7383-7389). (EDULEARN23 Proceedings; No. 2023). IATED Academy. https://doi.org/10.21125/edulearn.2023...
Corrigendum
Cruz, Carolina; Rodrigues, Lúcia; Fernandes, Filipa; Santos, Ricardo; Paixão, Paulo; Chasqueira, Maria-JesusPublisher Copyright: Copyright © 2023 Cruz, Rodrigues, Fernandes, Santos, Paixão and Chasqueira.; [This corrects the article DOI: 10.3389/fcimb.2023.1141115.].
Comparing Perception and Reality
Pesovski, Ivica; Santos, Ricardo; Trajkovik, Vladimir; Henriques, RobertoPesovski, I., Santos, R., Trajkovik, V., & Henriques, R. (2023). Comparing Perception and Reality: Exploring Test Complexity and Student Performance in Higher Education. In L. G. Chova, C. G. Martínez, & J. Lees (Eds.), 16th International Conference of Education, Research and Innovation (pp. 6654-6660). (ICERI Proceedings). IATED Academy. https://doi.org/10.21125/iceri.2023.1660; Building on previous work where...