Y. Liu, R.O. Sinnott, Automated Assessment of Excessive Inbreeding of Dogs based on Deep Learning, IEEE Conference on Computer Science…
May 9, 2023 Read more
Activities
S. Gong, R.O. Sinnott, J. Qi, and C. Paris, Fake News Detection Through Temporally Evolving User Interactions, Pacific-Asia Conference on…
March 16, 2023 Read more
Z. Yang, Q. Ke, J. Bailey, R.O. Sinnott, A Survey of Automated Data Augmentation Approaches for Deep Learning, Journal of…
March 8, 2023 Read more
Y. Chang, R.O. Sinnott, Machine Learning-based Classification of Birds through Birdsong, First Australian Symposium on Artificial Intelligence for the Environment,…
December 14, 2022 Read more
M. Bush, H. Fraser, B.C. Wintle, F. Mody, E. Smith, A. Hanea, E. Gould, V. Hemming, D. G. Hamilton, L….
November 2, 2022 Read more
H. Yu, Z. Yang, M. Zhou, H. Liu, R.O. Sinnott, Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation,…
September 6, 2022 Read more
Two new publications: R.O. Sinnott, W. Hu, Experiences in Development and Support of a Multi-technology Skin Conditions Clinical Trial Platform,…
June 16, 2022 Read more
M. Penno, A. Anderson, R. Thomson, K. McGorm, S. Barry, P. Colman, M. Craig, E. Davis, M. Harris, A. Haynes,…
April 28, 2022 Read more
A. Poulton, O. Eastwood, L. Bruns Jr, R.O. Sinnott, R. Hester, L. Daitch, Addressing Methodological Issues in a Study of…
November 25, 2021 Read more