Zobrazeno 1 - 10
of 3 225
pro vyhledávání: '"A. Jabari"'
Autor:
T. Gjorgjieva, A. Chaloemtoem, T. Shahin, O. Bayaraa, M. M. Dieng, M. Alshaikh, M. Abdalbaqi, J. Del Monte, G. Begum, C. Leonor, V. Manikandan, N. Drou, M. Arshad, M. Arnoux, N. Kumar, A. Jabari, A. Abdulle, G. ElGhazali, R. Ali, S. Y. Shaheen, J. Abdalla, F. Piano, K. C. Gunsalus, H. Daggag, H. Al Nahdi, H. Abuzeid, Y. Idaghdour
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-15 (2023)
Abstract Background Individuals infected with SARS-CoV-2 vary greatly in their disease severity, ranging from asymptomatic infection to severe disease. The regulation of gene expression is an important mechanism in the host immune response and can mo
Externí odkaz:
https://doaj.org/article/7484091a7a4142ed8fab1435ae236c9f
Predicting traffic flow in data-scarce cities is challenging due to limited historical data. To address this, we leverage transfer learning by identifying periodic patterns common to data-rich cities using a customized variant of Dynamic Mode Decompo
Externí odkaz:
http://arxiv.org/abs/2409.04728
The strong performance of simple neural networks is often attributed to their nonlinear activations. However, a linear view of neural networks makes understanding and controlling networks much more approachable. We draw from a dynamical systems view
Externí odkaz:
http://arxiv.org/abs/2409.01308
Autor:
Ganz, Jonathan, Marzahl, Christian, Ammeling, Jonas, Richter, Barbara, Puget, Chloé, Denk, Daniela, Demeter, Elena A., Tabaran, Flaviu A., Wasinger, Gabriel, Lipnik, Karoline, Tecilla, Marco, Valentine, Matthew J., Dark, Michael J., Abele, Niklas, Bolfa, Pompei, Erber, Ramona, Klopfleisch, Robert, Merz, Sophie, Donovan, Taryn A., Jabari, Samir, Bertram, Christof A., Breininger, Katharina, Aubreville, Marc
The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker as it is a measure for tumor cell proliferation. However, the identification of MFs has a known low inter-rater agreement. Dee
Externí odkaz:
http://arxiv.org/abs/2406.19899
Autor:
Jabari, Saif Eddin
We consider the problem of a graph subjected to adversarial perturbations, such as those arising from cyber-attacks, where edges are covertly added or removed. The adversarial perturbations occur during the transmission of the graph between a sender
Externí odkaz:
http://arxiv.org/abs/2406.14245
A rich line of recent work has studied distributionally robust learning approaches that seek to learn a hypothesis that performs well, in the worst-case, on many different distributions over a population. We argue that although the most common approa
Externí odkaz:
http://arxiv.org/abs/2405.05461
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for traini
Externí odkaz:
http://arxiv.org/abs/2403.12816
A fundamental capability for On-orbit Servicing, Assembly, and Manufacturing (OSAM) is inspection of the vehicle to be serviced, or the structure being assembled. This research assumes autonomous slewing to maintain situational awareness of multiple
Externí odkaz:
http://arxiv.org/abs/2402.14723
Publikováno v:
International Conference on Sustainable Information Engineering and Technology (SIET 2023), October 24--25, 2023, Badung, Bali, Indonesia
Learning augmented is a machine learning concept built to improve the performance of a method or model, such as enhancing its ability to predict and generalize data or features, or testing the reliability of the method by introducing noise and other
Externí odkaz:
http://arxiv.org/abs/2401.03198
Autor:
Aubreville, Marc, Stathonikos, Nikolas, Donovan, Taryn A., Klopfleisch, Robert, Ganz, Jonathan, Ammeling, Jonas, Wilm, Frauke, Veta, Mitko, Jabari, Samir, Eckstein, Markus, Annuscheit, Jonas, Krumnow, Christian, Bozaba, Engin, Cayir, Sercan, Gu, Hongyan, Chen, Xiang 'Anthony', Jahanifar, Mostafa, Shephard, Adam, Kondo, Satoshi, Kasai, Satoshi, Kotte, Sujatha, Saipradeep, VG, Lafarge, Maxime W., Koelzer, Viktor H., Wang, Ziyue, Zhang, Yongbing, Yang, Sen, Wang, Xiyue, Breininger, Katharina, Bertram, Christof A.
Publikováno v:
Medical Image Analysis Volume 94, May 2024, 103155
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with deterioration of algorithmic performance under shifts in image repres
Externí odkaz:
http://arxiv.org/abs/2309.15589