Zobrazeno 1 - 10
of 4 579
pro vyhledávání: '"A. Hammoudeh"'
Autor:
Lucas A. Horn, Hanne Lind, Kristen Fousek, Haiyan Qin, Nika Rajabian, Shantel Angstadt, Nicole Hsiao-Sanchez, Miriam M. Medina-Enriquez, Marcus D. Kelly, Clint T. Allen, Sarah M. Hammoudeh, Roberto Weigert, Dean Y. Maeda, John A. Zebala, Claudia Palena
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-22 (2024)
Abstract Background Relapsed head and neck squamous cell carcinoma (HNSCC) unrelated to HPV infection carries a poor prognosis. Novel approaches are needed to improve the clinical outcome and prolong survival in this patient population which has poor
Externí odkaz:
https://doaj.org/article/66927b8d4cfe4aeca811e4aff6bc75e1
Backdoor attacks manipulate model predictions by inserting innocuous triggers into training and test data. We focus on more realistic and more challenging clean-label attacks where the adversarial training examples are correctly labeled. Our attack,
Externí odkaz:
http://arxiv.org/abs/2310.18603
Autor:
Hammoudeh, Ahmad, Dupont, Stéphane
Image registration (IR) is a process that deforms images to align them with respect to a reference space, making it easier for medical practitioners to examine various medical images in a standardized reference frame, such as having the same rotation
Externí odkaz:
http://arxiv.org/abs/2309.00727
Publikováno v:
International Journal of Managerial Finance, 2024, Vol. 20, Issue 5, pp. 1368-1397.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJMF-10-2023-0486
Autor:
Silva, Gustavo Rezende, Bozhinoski, Darko, Oviedo, Mario Garzon, Montero, Mariano Ramírez, Garcia, Nadia Hammoudeh, Deshpande, Harshavardhan, Wasowski, Andrzej, Corbato, Carlos Hernandez
Self-adaptation can be used in robotics to increase system robustness and reliability. This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS (Metacontrol for ROS Systems) framework implement
Externí odkaz:
http://arxiv.org/abs/2303.09227
Autor:
Hammoudeh, Zayd, Lowd, Daniel
Sparse or $\ell_0$ adversarial attacks arbitrarily perturb an unknown subset of the features. $\ell_0$ robustness analysis is particularly well-suited for heterogeneous (tabular) data where features have different types or scales. State-of-the-art $\
Externí odkaz:
http://arxiv.org/abs/2302.11628
Autor:
Hammoudeh, Zayd, Lowd, Daniel
Publikováno v:
Machine Learning (2024)
Good models require good training data. For overparameterized deep models, the causal relationship between training data and model predictions is increasingly opaque and poorly understood. Influence analysis partially demystifies training's underlyin
Externí odkaz:
http://arxiv.org/abs/2212.04612
Autor:
Al-Shudifat AE, Hammoudeh AJ, Al Saud W, Ibdah R, Araydah M, Zaqqa A, Fakhri ZR, Haikal LHF, Abuhalimeh LJ, Alghabban Z, Ja’arah D, Al-Mashayikh AN, Alhaddad I
Publikováno v:
Vascular Health and Risk Management, Vol Volume 20, Pp 313-322 (2024)
Abdel-Ellah Al-Shudifat,1 Ayman J Hammoudeh,2 Wesam Al Saud,3 Rashid Ibdah,4 Mohammad Araydah,5 Ayah Zaqqa,6 Zainab Raed Fakhri,7 Lubna Haikal Fawaz Haikal,8 Lina Jamal Abuhalimeh,8 Zahraa Alghabban,8 Daria Ja’arah,9 Abdalluh Nabil Al-Mashayikh,10
Externí odkaz:
https://doaj.org/article/1b190eae723740b998a5a3e19dcdc408
Autor:
Izraiq M, Almousa E, Hammoudeh S, Sudqi M, Ahmed YB, Abu-Dhaim OA, Mughrabi Sabbagh AL, Khraim KI, Toubasi AA, Al-Kasasbeh A, Rawashdeh S, Abu-Hantash H
Publikováno v:
International Journal of General Medicine, Vol Volume 17, Pp 2253-2264 (2024)
Mahmoud Izraiq,1 Eyas Almousa,2 Suhail Hammoudeh,1 Mazen Sudqi,1 Yaman B Ahmed,3 Omran A Abu-Dhaim,1 Abdel-Latif Mughrabi Sabbagh,1 Karam I Khraim,1 Ahmad A Toubasi,4 Abdullah Al-Kasasbeh,3 Sukaina Rawashdeh,3 Hadi Abu-Hantash5 1Cardiology Section, I
Externí odkaz:
https://doaj.org/article/d933df4468b84aeb84010645351bf135
Autor:
Hammoudeh, Zayd, Lowd, Daniel
Adversarial training instances can severely distort a model's behavior. This work investigates certified regression defenses, which provide guaranteed limits on how much a regressor's prediction may change under a poisoning attack. Our key insight is
Externí odkaz:
http://arxiv.org/abs/2208.13904