Ochella, S., Dinmohammadi, Fateme and Shafiee, M. (2024) Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring. Advances in Mechanical Engineering. ISSN 1687-8132

Alajrami, Eman, Ng, Tiffany, Jevsikov, Jevgeni, Naidoo, Preshen, Fernandes, Patricia, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Dadashi Serej, Nasim, Francis, Darrel P. and Zolgharni, Massoud (2024) Active Learning for Left Ventricle Segmentation in Echocardiography. Computer Methods and Programs in Biomedicine. p. 108111. ISSN 01692607

Alajrami, Eman, Naidoo, Preshen, Jevsikov, Jevgeni, Lane, Elisabeth, Pordoy, Jamie, Serej, Nasim Dadashi, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Francis, Darrel P. and Zolgharni, Massoud (2023) Deep Active Learning for Left Ventricle Segmentation in Echocardiography. In: Functional Imaging and Modeling of the Heart, 19-22 June 2023, Lyon, France.

Dinmohammadi, Fateme, Han, Y. and Shafiee, M. (2023) Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms. Energies, 16 (9). ISSN 1996-1073

Ochella, S., Shafiee, M. and Dinmohammadi, Fateme (2021) Artificial intelligence in prognostics and health management of engineering systems. Engineering Applications of Artificial Intelligence, 108 (104552).