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Teaching Staff


Carina Albuquerque is collaborating with NOVA Information Management School in disciplines in the field of Data Mining and Machine Learning since February 2017. Master in Advanced Analytics (NOVA IMS), where she collaborated with the Champalimaud Foundation in the implementation of convolutional neural networks for image detection and classification, graduated in Information Systems and Technologies (NOVA IMS), and post-graduated in Marketing & Business Intelligence (European University), is currently attending the PhD program in Information Management (NOVA IMS). Her current research area focuses on applying deep learning techniques for the recognition and classification of objects of interest in images in the field of medicine. It also occasionally integrates research projects associated with NOVA IMS and provides consulting services in machine learning and information management.

Scientific Publications

Albuquerque, C., Henriques, R., & Castelli, M. (2022)

A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps. Scientific Reports, 12, 1-12. [17678].,

Albuquerque, C., Vanneschi, L., Henriques, R., Castelli, M., Póvoa, V., Fior, R., & Papanikolaou, N. (2021)

Object detection for automatic cancer cell counting in zebrafish xenografts. PLoS ONE, 16(11), 1-28. [e0260609].