| Extracting pasture phenotype and biomass percentages using weakly supervised multi-target deep learning on a small dataset B Narayanan, M Saadeldin, P Albert, K McGuinness, B Mac Namee arXiv preprint arXiv:2101.03198, 2021 | 15 | 2021 |
| Semi-supervised dry herbage mass estimation using automatic data and synthetic images P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 6 | 2022 |
| Using image analysis and machine learning to estimate sward clover content D Hennessy, M Saadeldin, B Mac Namee, NE O'Connor, K McGuinness, ... 21st Symposium of the European Grassland Federation 26 (Grassland Science in …, 2021 | 2 | 2021 |
| Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation P Albert, M Saadeldin, B Narayanan, B Mac Namee, D Hennessy, ... arXiv preprint arXiv:2204.09343, 2022 | 1 | 2022 |
| Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. B Narayanan, M Saadeldin, P Albert, K McGuinness, NE O'Connor, ... AICS, 176-187, 2021 | | 2021 |
| An Unsupervised Hierarchical Attention Neural Network for Topic Extraction of Support Ticket A Kumar, A Nabhan, B Jensen, A Basak, P Mandlecha, M Chintalapati, ... | | 2018 |
Paul AlbertPostdoctoral Researcher, Australian Insitute for Machine LearningVerified email at adelaide.edu.au
