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pro vyhledávání: '"Kaplun, A."'
Autor:
Kaplun, Aleksandr, Katsnelson, Boris
The following development of the well-known "vertical modes and horizontal rays" approach for acoustic waves propagation in shallow water, introduced in different works, is studied. In this approach we study so-called space-time horizontal rays, cons
Externí odkaz:
http://arxiv.org/abs/2411.14178
Autor:
Ben-Hur, Rotem, Leitersdorf, Orian, Ronen, Ronny, Goldshmidt, Lidor, Magram, Idan, Kaplun, Lior, Yavitz, Leonid, Kvatinsky, Shahar
Genome analysis has revolutionized fields such as personalized medicine and forensics. Modern sequencing machines generate vast amounts of fragmented strings of genome data called reads. The alignment of these reads into a complete DNA sequence of an
Externí odkaz:
http://arxiv.org/abs/2411.03832
Skin cancer is a highly dangerous type of cancer that requires an accurate diagnosis from experienced physicians. To help physicians diagnose skin cancer more efficiently, a computer-aided diagnosis (CAD) system can be very helpful. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2406.15128
Breast cancer is a major global health concern. Pathologists face challenges in analyzing complex features from pathological images, which is a time-consuming and labor-intensive task. Therefore, efficient computer-based diagnostic tools are needed f
Externí odkaz:
http://arxiv.org/abs/2406.08604
Accurate nuclei segmentation in histopathological images is crucial for cancer diagnosis. Automating this process offers valuable support to clinical experts, as manual annotation is time-consuming and prone to human errors. However, automating nucle
Externí odkaz:
http://arxiv.org/abs/2406.08425
Autor:
Budagam, Devichand, Kumar, Ayush, Ghosh, Sayan, Shrivastav, Anuj, Imanbayev, Azamat Zhanatuly, Akhmetov, Iskander Rafailovich, Kaplun, Dmitrii, Antonov, Sergey, Rychenkov, Artem, Cyganov, Gleb, Sinitca, Aleksandr
Teeth segmentation and recognition are critical in various dental applications and dental diagnosis. Automatic and accurate segmentation approaches have been made possible by integrating deep learning models. Although teeth segmentation has been stud
Externí odkaz:
http://arxiv.org/abs/2406.03747
Publikováno v:
Известия высших учебных заведений России: Радиоэлектроника, Vol 27, Iss 5, Pp 108-117 (2024)
Introduction. Formation of a contact surface in prosthetics and orthotics is crucial for the restoration of human musculoskeletal functions. This paper considers specific features of methods currently used for denoising of a 3D model surface obtained
Externí odkaz:
https://doaj.org/article/67fba1d62f6544f0ada28dc01da6769e
When using Stochastic Gradient Descent (SGD) for training machine learning models, it is often crucial to provide the model with examples sampled at random from the dataset. However, for large datasets stored in the cloud, random access to individual
Externí odkaz:
http://arxiv.org/abs/2309.01640
The success of SGD in deep learning has been ascribed by prior works to the implicit bias induced by finite batch sizes ("SGD noise"). While prior works focused on offline learning (i.e., multiple-epoch training), we study the impact of SGD noise on
Externí odkaz:
http://arxiv.org/abs/2306.08590
Finetuning a pretrained model has become a standard approach for training neural networks on novel tasks, resulting in fast convergence and improved performance. In this work, we study an alternative finetuning method, where instead of finetuning all
Externí odkaz:
http://arxiv.org/abs/2302.06354