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Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires In Norwegian AI Symposium. Springer, 2022.
Data-driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective In IEEE Statistical Signal Processing Workshop 2021. IEEE, 2021.
Generalized Low-Rank Models for Phenotyping Cervical Cancer Risk Groups using Medical Questionnaires In Stavanger, Norway, Edited by M. Nygård, J. Nygård, A. Smilde and E. A. Ataman., 2021.
FightHPV: Design and Evaluation of a Mobile Game to Raise Awareness About Human Papillomavirus and Nudge People to Take Action Against Cervical Cancer." JMIR serious games 7 (2019): e8540."
Constraint-Based Verification of a Mobile App Game Designed for Nudging People to Attend Cancer Screening In Proceedings of Innovative Applications of Artificial Intelligence (IAAI-17), Feb. 2017, San Francisco, USA. AAAI, 2017.
FightHPV : A Game to Raise Awareness and Nudge People to Take Action Against Cervical Cancer in Norway. IPVS, Cape Town, South Africa, 2017.
Portinari: A Data Exploration Tool to Personalize Cervical Cancer Screening In 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society Track, ICSE-SEIS, Edited by M. A. Ferrario and M. A. F. Pernici. IEEE, 2017.
Portinari: An Interactive Visualization Tool To Explore Alternative Patient Paths in Cervical Cancer Screening. IPVS, Cape Town, South Africa, 2017.
Protecting Privacy in Large Datasets—First We Assess the Risk; Then We Fuzzy the Data." Cancer Epidemiology Biomarkers & Prevention 26, no. 8 (2017): 1219-1224."
Using mobile games as an educational platform to promote human papillomavirus vaccination and improve sexual health in Zambian adolescents. IPVS, Cape Town, South Africa, 2017.
Portinari: A Data Exploration Tool to Visualize Personalized Risk in Cervical Cancer Screening In Improving Cancer Risk Prediction for Prevention and Early Detection. American Association of Cancer Research, 2016.
Portinari: Communicating Personalized Risk in Cervical Cancer Screening using Data. . Orlando, Florida: AACR, 2016.