Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Monnet, Maureen"'
Autor:
Hagiwara, Yuki, Ciora, Octavia-Andreea, Monnet, Maureen, Lancho, Gino, Lorenz, Jeanette Miriam
The diagnosis of glaucoma plays a critical role in the management and treatment of this vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by damaging the optic nerve at the back of the eye. Often called "silent thie
Externí odkaz:
http://arxiv.org/abs/2410.15947
Autor:
Monnet, Maureen, Chaabani, Nermine, Dragan, Theodora-Augustina, Schachtner, Balthasar, Lorenz, Jeanette Miriam
Quantum machine learning was recently applied to various applications and leads to results that are comparable or, in certain instances, superior to classical methods, in particular when few training data is available. These results warrant a more in
Externí odkaz:
http://arxiv.org/abs/2405.03027
Autor:
Monnet, Maureen, Gebran, Hanady, Matic-Flierl, Andrea, Kiwit, Florian, Schachtner, Balthasar, Bentellis, Amine, Lorenz, Jeanette Miriam
Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can provide good generalization from small training data sizes. However, there
Externí odkaz:
http://arxiv.org/abs/2305.05603
Quantum reinforcement learning (QRL) models augment classical reinforcement learning schemes with quantum-enhanced kernels. Different proposals on how to construct such models empirically show a promising performance. In particular, these models migh
Externí odkaz:
http://arxiv.org/abs/2212.07932
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, 878-887, 2023
Explaining black-box Artificial Intelligence (AI) models is a cornerstone for trustworthy AI and a prerequisite for its use in safety critical applications such that AI models can reliably assist humans in critical decisions. However, instead of tryi
Externí odkaz:
http://arxiv.org/abs/2211.12173
Autor:
Matic, Andrea, Monnet, Maureen, Lorenz, Jeanette Miriam, Schachtner, Balthasar, Messerer, Thomas
Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains unclear. However, there are indications that certain quantum machine l
Externí odkaz:
http://arxiv.org/abs/2204.12390