Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dmitry Ermilov"'
Autor:
Alexey Fayzullin, Elena Ivanova, Victor Grinin, Dmitry Ermilov, Svetlana Solovyeva, Maxim Balyasin, Alesia Bakulina, Pavel Nikitin, Yana Valieva, Alina Kalinichenko, Alexander Arutyunyan, Aleksey Lychagin, Peter Timashev
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 571-582 (2024)
The Banff classification is useful for diagnosing renal transplant rejection. However, it has limitations due to subjectivity and varying concordance in physicians' assessments. Artificial intelligence (AI) can help standardize research, increase obj
Externí odkaz:
https://doaj.org/article/31d73d1268e748ac96599358fd9eb217
Autor:
Elena Ivanova, Alexey Fayzullin, Victor Grinin, Dmitry Ermilov, Alexander Arutyunyan, Peter Timashev, Anatoly Shekhter
Publikováno v:
Biomedicines, Vol 11, Iss 11, p 2875 (2023)
Renal cell carcinoma is a significant health burden worldwide, necessitating accurate and efficient diagnostic methods to guide treatment decisions. Traditional pathology practices have limitations, including interobserver variability and time-consum
Externí odkaz:
https://doaj.org/article/56de7da251b24072ac2b8e846e288a36
Publikováno v:
Mathematics, Vol 10, Iss 20, p 3801 (2022)
Low-rank matrix/tensor decompositions are promising methods for reducing the inference time, computation, and memory consumption of deep neural networks (DNNs). This group of methods decomposes the pre-trained neural network weights through low-rank
Externí odkaz:
https://doaj.org/article/23f432ba4f484e48a2d10ae26d74f540
Publikováno v:
IEEE Sensors Journal. 19:11573-11582
Artificial Intelligence (AI) has been recently applied to a number of sensing scenarios for realizing the prediction, control and/or recognition tasks. However, its integration to embedded systems is still limited. We propose a low-power sensing syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3040f920e7e1c20dbf773472986ca840
https://doi.org/10.1109/jsen.2019.2935812
https://doi.org/10.1109/jsen.2019.2935812
Autor:
Petr Tichavsky, Konstantin Sozykin, Andrzej Cichocki, Anh Huy Phan, Konstantin Sobolev, Dmitry Ermilov
Publikováno v:
ICASSP
This paper proposes a constrained canonical polyadic (CP) tensor decomposition method with low-rank factor matrices. In this way, we allow the CP decomposition with high rank while keeping the number of the model parameters small. First, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27fa53fcd6d5083a742e5970c104540e
https://doi.org/10.1109/icassp39728.2021.9414606
https://doi.org/10.1109/icassp39728.2021.9414606
Autor:
Anh Huy Phan, Konstantin Sozykin, Julia Gusak, Dmitry Ermilov, Andrzej Cichocki, Petr Tichavský, Valeriy Glukhov, Konstantin Sobolev, Ivan V. Oseledets
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585259
ECCV (29)
ECCV (29)
Most state-of-the-art deep neural networks are overparameterized and exhibit a high computational cost. A straightforward approach to this problem is to replace convolutional kernels with its low-rank tensor approximations, whereas the Canonical Poly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b147a4f6bfa71e897e90862d8d370e62
https://doi.org/10.1007/978-3-030-58526-6_31
https://doi.org/10.1007/978-3-030-58526-6_31
Autor:
Andrey Somov, Alexander Menshchikov, Maxim Panov, L. Kupchenko, I. Dranitsky, Maxim V. Fedorov, Dmitry Ermilov
Publikováno v:
IECON
Aerial drones can be used for a number of monitoring and control applications. Most of existing drone control platforms are quite primitive in terms of body-machine interface. They are usually a variation of a hand-held remote controller or ground co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4a56b5ed4da21f02205a54bfde86c85
https://doi.org/10.1109/iecon.2019.8926635
https://doi.org/10.1109/iecon.2019.8926635
Publikováno v:
ICMLA
Bitcoin is digital assets infrastructure powering the first worldwide decentralized cryptocurrency of the same name. All history of Bitcoins owning and transferring (addresses and transactions) is available as a public ledger called blockchain. But r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e8fcd89c657cfc74f1c37848ea84dc8
https://doi.org/10.1109/icmla.2017.0-118
https://doi.org/10.1109/icmla.2017.0-118