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Teaching Staff

Biography

Paulo Lapa is currently enrolled in the master of Advanced Analytics at Nova Information School (NOVA IMS), where he also finished a bachelor degree in Information Management. He participates with the Nova Analytics Group in various projects that mix data science and social problems; and also collaborates with the project EAThink2015 - global citizenship outreach of Calouste Gulbenkian Foundation.

 Current research problems incide on oversampling techniques for treating data imbalance in classification problems and is currently developing a master thesis on the subject of deep learning applied to medical imaging diagnosis.

Scientific Publications

Lapa, P., Gonçalves, I., Rundo, L., & Castelli, M. (2019)

Semantic learning machine improves the CNN-based detection of prostate cancer in non-contrast-enhanced MRI. In M. López-Ibáñez (Ed.), GECCO 2019 Companion : Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 1837-1845). New York: Association for Computing Machinery, Inc. ISBN: 978-1-4503-6748-6. https://doi.org/10.1145/3319619.3326864

Lapa, P., Rundo, L., Gonçalves, I., & Castelli, M. (2019)

Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: A study with the semantic learning machine. In GECCO 2019 : Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 381-382). (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion). Association for Computing Machinery, Inc. https://doi.org/10.1145/3319619.3322035