CoDiet partners are committed to publishing their findings in openly accessible scientific papers.
The publications listed below will grow over the course of the project and all are freely accessible and acknowledge CoDiet’s funding bodies, the European Commission and UKRI.
Kim, Kim, Sohn, Beck, Rei, Kim, Simpson, Posma, Lain, Sung, Kang (2023) Advancing phenotype named entity recognition and normalization for dysmorphology physical examination reports, Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models. https://zenodo.org/doi/10.5281/zenodo.10104803
ViewQ. Zhou and J. Mareček, “Learning of Linear Dynamical Systems as a Noncommutative Polynomial Optimization Problem,” in IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2399-2405, April 2024, doi: 10.1109/TAC.2023.3313351.
View
M. Tsenos, A. Peri and V. Kalogeraki, “Energy Efficient Scheduling for Serverless Systems,” 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Toronto, ON, Canada, 2023, pp. 27-36, doi: 10.1109/ACSOS58161.2023.00020.
View
A. Peri, M. Tsenos and V. Kalogeraki, “Orchestrating the Execution of Serverless Functions in Hybrid Clouds,” 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Toronto, ON, Canada, 2023, pp. 139-144, doi: 10.1109/ACSOS58161.2023.00032.
ViewD. Tomaras, M. Tsenos and V. Kalogeraki, “Prediction-driven resource provisioning for serverless container runtimes,” 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Toronto, ON, Canada, 2023, pp. 1-6, doi: 10.1109/ACSOS58161.2023.00033.
ViewWang, Meiqi & Vijayaraghavan, Avish & Beck, Tim & Posma, Joram. (2024). Vocabulary Matters: An Annotation Pipeline and Four Deep Learning Algorithms for Enzyme Named Entity Recognition. Journal of proteome research. 23. 10.1021/acs.jproteome.3c00367.
ViewKozdoba, Perets, Mannor. (2023) Unnormalized Density Estimation with Root Sobolev Norm Regularization, OpenReview.net. https://openreview.net/forum?id=PDxpsZmyrr
ViewKozdoba, Perets, Mannor. (2023) Learning Hidden Markov Models When the Locations of Missing Observations are Unknown, Arkiv. https://doi.org/10.48550/arXiv.2203.06527
ViewGu, Vahidian, Kungurtsev, Wang, Jiang, You, Chen. (2024) Efficient Dataset Distillation via Minimax Diffusion, Arkiv, https://doi.org/10.48550/arXiv.2311.15529
View
Perets, Kozdoba, Mannor. (2023) Learning Hidden Markov Models When the Locations of Missing Observations are Unknown, Arkiv, https://doi.org/10.48550/arXiv.2203.06527
View