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pro vyhledávání: '"Porvatov, Vadim A."'
This paper introduces a new transformer-based model for the problem of travel time estimation. The key feature of the proposed GCT-TTE architecture is the utilization of different data modalities capturing different properties of an input path. Along
Externí odkaz:
http://arxiv.org/abs/2306.04324
Autor:
Martynova, Anastasia, Kuznetsov, Mikhail, Porvatov, Vadim, Tishin, Vladislav, Kuznetsov, Andrey, Semenova, Natalia, Kuznetsova, Ksenia
Parking guidance systems have recently become a popular trend as a part of the smart cities' paradigm of development. The crucial part of such systems is the algorithm allowing drivers to search for available parking lots across regions of interest.
Externí odkaz:
http://arxiv.org/abs/2306.04288
Autor:
Molodtsova, Anastasia A., Buzakov, Mikhail K., Rozenblit, Alina D., Smirnov, Vyacheslav A., Sennikova, Daria V., Porvatov, Vadim A., Burmistrov, Oleg I., Puhtina, Ekaterina M., Dmitriev, Alexey A., Olekhno, Nikita A.
Active matter composed of self-propelled particles features a fascinating set of self-organization phenomena, spanning from motility-induced phase separation to phototaxis to topological excitations depending on the nature and parameters of the syste
Externí odkaz:
http://arxiv.org/abs/2305.16659
Autor:
Dmitriev, Alexey A., Rozenblit, Alina D., Porvatov, Vadim A., Buzakov, Mikhail K., Molodtsova, Anastasia A., Sennikova, Daria V., Smirnov, Vyacheslav A., Burmistrov, Oleg I., Karimov, Timur I., Puhtina, Ekaterina M., Olekhno, Nikita A.
Large swarms of extremely simple robots (i.e., capable just of basic motion activities, like propelling forward or self-rotating) are widely applied to study collective task performance based on self-organization or local algorithms instead of sophis
Externí odkaz:
http://arxiv.org/abs/2305.13510
Autor:
Porvatov, Vadim, Semenova, Natalia
Publikováno v:
Mining for Health Applications, Workshop & Shared Task (SMM4H 2022) (p. 108)
Automation of social network data assessment is one of the classic challenges of natural language processing. During the COVID-19 pandemic, mining people's stances from public messages have become crucial regarding understanding attitudes towards hea
Externí odkaz:
http://arxiv.org/abs/2209.03851
The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics. The complex nature of interconnections between spatial aspects of roads and temporal dynamics of ground transport still preserves an area to
Externí odkaz:
http://arxiv.org/abs/2207.05835
The problem of co-authors selection in the area of scientific collaborations might be a daunting one. In this paper, we propose a new pipeline that effectively utilizes citation data in the link prediction task on the co-authorship network. In partic
Externí odkaz:
http://arxiv.org/abs/2111.15466
Recently, deep learning has achieved promising results in the calculation of Estimated Time of Arrival (ETA), which is considered as predicting the travel time from the start point to a certain place along a given path. ETA plays an essential role in
Externí odkaz:
http://arxiv.org/abs/2110.04228
Akademický článek
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Autor:
Porvatov, Vadim, Semenova, Natalia
Automation of social network data assessment is one of the classic challenges of natural language processing. During the COVID-19 pandemic, mining people's stances from public messages have become crucial regarding understanding attitudes towards hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7246f3701298d870fe064448e8369634