Zobrazeno 1 - 10
of 2 592
pro vyhledávání: '"Ivanov, Vladimir"'
Autor:
Bearden, Samuel, Abramyan, Tigran M., Gil, Dmitry, Johnson, Jessica, Murashko, Anton, Makaev, Sergei, Mai, David, Baranchikov, Alexander, Ivanov, Vladimir, Reukov, Vladimir, Zhang, Guigen
The movement of small particles and molecules through membranes is widespread and has far-reaching implications. Consequently, the development of mathematical models is essential for understanding these processes on a micro level, leading to deeper i
Externí odkaz:
http://arxiv.org/abs/2404.17115
We propose a novel architecture and method of explainable classification with Concept Bottleneck Models (CBMs). While SOTA approaches to Image Classification task work as a black box, there is a growing demand for models that would provide interprete
Externí odkaz:
http://arxiv.org/abs/2404.03323
Autor:
Alukaev, Danis, Kiselev, Semen, Pershin, Ilya, Ibragimov, Bulat, Ivanov, Vladimir, Kornaev, Alexey, Titov, Ivan
Concept Bottleneck Models (CBMs) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classification by first predicting the concepts, followed by predicting the label r
Externí odkaz:
http://arxiv.org/abs/2310.14805
Autor:
Loukachevitch, Natalia, Manandhar, Suresh, Baral, Elina, Rozhkov, Igor, Braslavski, Pavel, Ivanov, Vladimir, Batura, Tatiana, Tutubalina, Elena
Publikováno v:
Bioinformatics, Volume 39, Issue 4, April 2023, btad161
This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed abstracts in Russian and smaller number of abstracts in English. NEREL-BIO extends the general domain dataset NEREL by introducing domain-specific entity types. NEREL-BIO ann
Externí odkaz:
http://arxiv.org/abs/2210.11913
Autor:
Ivanov, Vladimir, Solovyev, Valery
Concrete/abstract words are used in a growing number of psychological and neurophysiological research. For a few languages, large dictionaries have been created manually. This is a very time-consuming and costly process. To generate large high-qualit
Externí odkaz:
http://arxiv.org/abs/2206.06200
Autor:
Artemova, Ekaterina, Zmeev, Maxim, Loukachevitch, Natalia, Rozhkov, Igor, Batura, Tatiana, Ivanov, Vladimir, Tutubalina, Elena
The RuNNE Shared Task approaches the problem of nested named entity recognition. The annotation schema is designed in such a way, that an entity may partially overlap or even be nested into another entity. This way, the named entity "The Yermolova Th
Externí odkaz:
http://arxiv.org/abs/2205.11159
Autor:
Ivanov, Vladimir G.
We propose a simple method for prediction of the 11-year solar cycle maximum that is based on two relations. One of them is well known Waldmeier's rule that binds the amplitude of a cycle and the length of its ascending phase. The second rule relates
Externí odkaz:
http://arxiv.org/abs/2203.02028