Zobrazeno 1 - 10
of 7 368
pro vyhledávání: '"El, Hajj A."'
The robustness of neural networks is paramount in safety-critical applications. While most current robustness verification methods assess the worst-case output under the assumption that the input space is known, identifying a verifiable input space $
Externí odkaz:
http://arxiv.org/abs/2408.08824
Transfer learning in reinforcement learning (RL) has become a pivotal strategy for improving data efficiency in new, unseen tasks by utilizing knowledge from previously learned tasks. This approach is especially beneficial in real-world deployment sc
Externí odkaz:
http://arxiv.org/abs/2408.08812
Reinforcement learning (RL) and model predictive control (MPC) each offer distinct advantages and limitations when applied to control problems in power and energy systems. Despite various studies on these methods, benchmarks remain lacking and the pr
Externí odkaz:
http://arxiv.org/abs/2407.15313
Privacy-enhancing blocking tools based on filter-list rules tend to break legitimate functionality. Filter-list maintainers could benefit from automated breakage detection tools that allow them to proactively fix problematic rules before deploying th
Externí odkaz:
http://arxiv.org/abs/2405.05196
Autor:
Beydoun, May A., author, El-Hajj, Ziad W., author
Publikováno v:
Infectious Diseases in Neurocognitive and Neuropsychiatric Medicine, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192870414.003.0012
Autor:
Eberle, Oliver, Büttner, Jochen, El-Hajj, Hassan, Montavon, Grégoire, Müller, Klaus-Robert, Valleriani, Matteo
Historical materials are abundant. Yet, piecing together how human knowledge has evolved and spread both diachronically and synchronically remains a challenge that can so far only be very selectively addressed. The vast volume of materials precludes
Externí odkaz:
http://arxiv.org/abs/2310.09091
Publikováno v:
Neuropsychiatric Disease and Treatment, Vol Volume 20, Pp 1861-1876 (2024)
Mariam Heikal,1 Halim Saad,2 Pia Maria Ghanime,3 Tarek Bou Dargham,4 Maya Bizri,5 Firas Kobeissy,6 Wassim El Hajj,1 Farid Talih2 1Department of Computer Science, American University of Beirut, Beirut, Lebanon; 2Department of Psychiatry, Faculty of Me
Externí odkaz:
https://doaj.org/article/e6d4948ced2e483ea1d28c1c0cbb224f
Autor:
El-Hajj, Hassan, Valleriani, Matteo
In this paper, we present a pipeline for image extraction from historical documents using foundation models, and evaluate text-image prompts and their effectiveness on humanities datasets of varying levels of complexity. The motivation for this appro
Externí odkaz:
http://arxiv.org/abs/2309.01674
Publikováno v:
Journal of Economic and Administrative Sciences, 2022, Vol. 40, Issue 3, pp. 533-552.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEAS-12-2021-0249
Publikováno v:
Emerald Emerging Markets Case Studies, 2024, Vol. 14, Issue 3, pp. 1-22.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EEMCS-02-2024-0062