| Kglm: Integrating knowledge graph structure in language models for link prediction J Youn, I Tagkopoulos arXiv preprint arXiv:2211.02744, 2022 | 19 | 2022 |
| Using word Embeddings to learn a better food ontology J Youn, T Naravane, I Tagkopoulos Frontiers in Artificial Intelligence 3, 584784, 2020 | 17 | 2020 |
| Multi-task self-supervised visual representation learning for monocular road segmentation J Cho, Y Kim, H Jung, C Oh, J Youn, K Sohn 2018 ieee international conference on multimedia and expo (icme), 1-6, 2018 | 17 | 2018 |
| Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes J Youn, N Rai, I Tagkopoulos Nature communications 13 (1), 2360, 2022 | 12 | 2022 |
| Integration of statistical inferences and machine learning algorithms for prediction of metritis cure in dairy cows EB de Oliveira, FC Ferreira, KN Galvão, J Youn, I Tagkopoulos, ... Journal of Dairy Science 104 (12), 12887-12899, 2021 | 11 | 2021 |
| Effect of image capture device on the accuracy of black-box printer models J Youn, J Sun, Y Ju, T Kashti, T Frank, D Kella, M Fischer, R Ulichney, ... Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications 9015 …, 2014 | 2 | 2014 |
| FoodAtlas: Automated Knowledge Extraction of Food and Chemicals from Literature J Youn, F Li, G Simmons, S Kim, I Tagkopoulos bioRxiv, 2024.05. 16.594596, 2024 | | 2024 |
| Semi-Automated Construction of Food Composition Knowledge Base J Youn, F Li, I Tagkopoulos arXiv preprint arXiv:2301.11322, 2023 | | 2023 |
