K. Zarkogianni

Zarkogianni, K., Dervakos, E., Filandrianos, G., Ganitidis, T., Gkatzou, V., Sakagianni, A., Raghavendra, R., Max Nikias, C. L., Stamou, G., & Nikita, K. S. (2023). The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis. Scientific data, 10(1), Article 770. https://doi.org/10.1038/s41597-023-02646-6

Jacobs, P. G., Herrero, P., Facchinetti, A., Vehi, J., Kovatchev, B., Breton, M., Cinar, A., Nikita, K. S., Doyle, F., Bondia, J., Battelino, T., Castle, J. R., Zarkogianni, K., Narayan, R., & Mosquera-Lopez, C. (2024). Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities. IEEE Reviews in Biomedical Engineering, 17, 19-41. https://doi.org/10.1109/RBME.2023.3331297

Chatzidaki, E., Chioti, V., Mourtou, L., Papavasileiou, G., Kitani, R.-A., Kalafatis, E., Mitsis, K., Athanasiou, M., Zarkogianni, K., Nikita, K., Kanaka-Gantenbein, C., & Pervanidou, P. (2024). Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic. Children-Basel, 11(1), Article 107. https://doi.org/10.3390/children11010107