Bimodal biometrics for efficient human recognition using wavelet, principal component analysis and artificial neural network. - Bisrat Derebssa Dufera; Ashenafi Zebene Woldaregay (AFRICON, 2017)

An Early Infectious Disease Outbreak Detection Mechanism Based on Self-Recorded Data from People with Diabetes. - Ashenafi Zebene Woldaregay; Eirik Årsand; Taxiarchis Botsis; Gunnar Hartvigsen (MedInfo, 2017)

Motivational Factors for User Engagement with mHealth Apps. - Ashenafi Zebene Woldaregay; David-Zacharie Issom; André Henriksen; Henna Marttila; Martin Mikalsen; Gerit Pfuhl; Keiichi Sato; Christian Lovis; Gunnar Hartvigsen (pHealth, 2018)

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes. - Ashenafi Zebene Woldaregay; Eirik Årsand; Ståle Walderhaug; David J. Albers; Lena Mamykina; Taxiarchis Botsis; Gunnar Hartvigsen (Artif. Intell. Medicine, 2019)

Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review. - Prosper Kandabongee Yeng; Livinus Obiora Nweke; Ashenafi Zebene Woldaregay; Bian Yang; Einar Arthur Snekkenes (IntelliSys (1), 2020)

User Expectations and Willingness to Share Self-Collected Health Data. - Ashenafi Zebene Woldaregay; André Henriksen; David-Zacharie Issom; Gerit Pfuhl; Keiichi Sato; Aude Richard; Christian Lovis; Eirik Årsand; Jessica Rochat; Gunnar Hartvigsen (MIE, 2020)

Reinforcement learning application in diabetes blood glucose control: A systematic review. - Miguel Tejedor; Ashenafi Zebene Woldaregay; Fred Godtliebsen (Artif. Intell. Medicine, 2020)

mHealth: Where Is the Potential for Aiding Informal Caregivers? - Meghan Bradway; Ashenafi Zebene Woldaregay; David-Zacharie Issom; Gerit Pfuhl; Gunnar Hartvigsen; Eirik Årsand; André Henriksen (MIE, 2021)

Approaching adverse event detection utilizing transformers on clinical time-series. - Helge Fredriksen; Per Joel Burman; Ashenafi Zebene Woldaregay; Karl Øyvind Mikalsen; Ståle Nymo (CoRR, 2023)

Categorization of phenotype trajectories utilizing transformers on clinical time-series. - Helge Fredriksen; Per Joel Burman; Ashenafi Zebene Woldaregay; Karl Øyvind Mikalsen; Ståle Nymo (ICMLT, 2024)

Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. - Jørgen Aarmo Lund; Karl Øyvind Mikalsen; Per Joel Burman; Ashenafi Zebene Woldaregay; Robert Jenssen (NLDL, 2024)

Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model. - Kjersti Mevik; Ashenafi Zebene Woldaregay; Alexander Ringdal; Karl Øyvind Mikalsen; Yuan Xu (Int. J. Medical Informatics, 2024)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish. - Ashenafi Zebene Woldaregay; Jørgen Aarmo Lund; Phuong Dinh Ngo; Mariyam Tayefi; Per Joel Burman; Stine Hansen; Martin Hylleholt Sillesen; Hercules Dalianis; Robert Jenssen; Lindsetmo Rolf Ole; Karl Øyvind Mikalsen (CoRR, 2025)