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When acting as a privacy-enhancing technology, synthetic data generation (SDG) aims to maintain a resemblance to the real data while excluding personally-identifiable information. Many SDG algorithms provide robust differential privacy (DP) guarantee
Externí odkaz:
http://arxiv.org/abs/2410.05506
Autor:
Filienko, Daniil, Wang, Yinzhou, Jazmi, Caroline El, Xie, Serena, Cohen, Trevor, De Cock, Martine, Yuwen, Weichao
While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare, their strengths and pitfalls remain under-explored. In our study, we examine the effects of prompt engineering to guide Large Language Models (LLMs) i
Externí odkaz:
http://arxiv.org/abs/2409.00112
Autor:
Bekaert, Hans, Van Dooren, Wim, Van Winckel, Hans, Poessel, Markus, Thiering, Inge, Nicolini, Marco, Artioli, Enrico, Avgerinou, Despina, Balla, Eleana, De Cock, Mieke
In the context of the European Erasmus+ project Teaching ASTronomy at the Educational level (TASTE), we investigated the extent to which a learning module at school and a set of activities during a planetarium visit help students to gain insight in t
Externí odkaz:
http://arxiv.org/abs/2405.19741
Data is the lifeblood of the modern world, forming a fundamental part of AI, decision-making, and research advances. With increase in interest in data, governments have taken important steps towards a regulated data world, drastically impacting data
Externí odkaz:
http://arxiv.org/abs/2402.08614
Synthetic data generation (SDG) has become increasingly popular as a privacy-enhancing technology. It aims to maintain important statistical properties of its underlying training data, while excluding any personally identifiable information. There ha
Externí odkaz:
http://arxiv.org/abs/2402.06699
Autor:
Joly, C., Berthelot, S., Blivet, S., Chatelet, F., Gandolfo, N., Lhomme, C., Mavilla, G., Saugnac, H., Olivier, G., Pierens, M., Yaniche, J-F., Bouly, F., Bourrion, O., Gomez-Martinez, Y., Tourres, D., Gaudin, C., Bolli, J-L., Garçia-Alfonso, I., Della Faille, P., Vanderlinden, M., De Cock, W.
Within the framework of the first phase of MYRRHA (Multi-purpose hYbrid Research Reactor for High-tech Applications) project, called MINERVA, IJCLab was in charge of a fully equipped Spoke cryomodule prototype development, tested at 2K. It integrates
Externí odkaz:
http://arxiv.org/abs/2310.07426
Autor:
De Cock Miriam
Publikováno v:
Open Theology, Vol 10, Iss 1, Pp 229-48 (2024)
In this article, I wish to build on the little work previously done on the theme of Origen and women by focusing on Origen’s exegetical treatment of the speech uttered by a selection of female scriptural characters. I focus on their speech as a way
Externí odkaz:
https://doaj.org/article/e9e78d6e129749b0a4832cd7394fe0ba
Autor:
Pieter A. De Cock, Roos Colman, Anca Amza, Peter De Paepe, Hans De Pla, Lieselot Vanlanduyt, Dimitri Van der Linden, the Beneficial Trial Consortium
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract Background Vancomycin is a commonly prescribed antibiotic to treat serious Gram-positive infections in children. The efficacy of vancomycin is known to be directly related to the pharmacokinetic/pharmacodynamic (PK/PD) index of the area unde
Externí odkaz:
https://doaj.org/article/863e04f58ffe40869fb6f84dbeb1bc12
Autor:
Campo, Bavo De Cock
Calibration is a pivotal aspect in predictive modeling, as it ensures that the predictions closely correspond with what we observe empirically. The contemporary calibration framework, however, is predominantly focused on prediction models where the o
Externí odkaz:
http://arxiv.org/abs/2309.08559
Autor:
Sobha Sivaprasad, Shruti Chandra, SriniVas Sadda, Kelvin Y. C. Teo, Sridevi Thottarath, Eduard de Cock, Theo Empeslidis, Marieh Esmaeelpour
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 10, Pp 2511-2541 (2024)
Abstract Introduction Advanced age-related macular degeneration (AMD) is a major cause of vision loss. Therefore, there is interest in precursor lesions that may predict or prevent the onset of advanced AMD. One such lesion is a shallow separation of
Externí odkaz:
https://doaj.org/article/bcc2188cc17947ca845097b6ce54243c