Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maksim Khlopotov"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 741-747 (2024)
This study assesses the efficiency of large language models (LLMs) in generating university course structures, comparing traditional methods with Retrieval-Augmented Generation (RAG). It involves a comparative analysis across twelve courses using fou
Externí odkaz:
https://doaj.org/article/0047e1b868b94e8eb41224481c16e996
Autor:
Anton Govorov, Anastasiia Chernysheva, Maksim Khlopotov, Svetlana Derkunskaia, Anna Arzumanian
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 108-114 (2020)
Abstract The article presents a graph model for building learning pathways between academic courses based on the relations between keywords. In this study, we use two-layer graph model where the first layer is represented by academic courses, the sec
Externí odkaz:
https://doaj.org/article/9a58902bbeb54312bc1919edc2fd26ad
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 2, Pp 530-538 (2020)
This paper presents a personalized routes recommendation system that consists of a server app that serves data for a client mobile app. The development process is covered as well as theoretical explanations of decisions made. The proposed solution is
Externí odkaz:
https://doaj.org/article/bc563b715cd649c0ac81d3a2ac67946b
Autor:
Daria Korotaeva, Maksim Khlopotov, Anastasiia Makarenko, Ekaterina Chikshova, Natalia Startseva, Anastasiia Chemysheva
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 426, Iss 22, Pp 88-93 (2018)
The article presents Botanicum - a telegram bot for tree classification based on the image of a leaf. In this work, we used our previously developed classification model which underlies the bot. Botanicum can identify 20 different tree species typica
Externí odkaz:
https://doaj.org/article/cf6cb96fc9c541cd9ffee44449592f47
Publikováno v:
Artificial Intelligence in Education Technologies: New Development and Innovative Practices ISBN: 9789811980398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c98af0300eac2ce2939d539d4f51f68
https://doi.org/10.1007/978-981-19-8040-4_3
https://doi.org/10.1007/978-981-19-8040-4_3
Publikováno v:
Proceedings of the 13th International Conference on Education Technology and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cdef8922ce345a712293f387359e4ac
https://doi.org/10.1145/3498765.3498766
https://doi.org/10.1145/3498765.3498766
Autor:
Vladimir Kazakovtsev, Sergey Muravyov, Maksim Khlopotov, Alexander Panfilov, Timofey Podolenchuk, Albert Bezvinnyi, Daniil Masalskiy, Igor Glukhov, Svyatoslav A. Oreshin, Alexey Serdyukov, Yulia E. Kaliberda, Egor Krasheninnikov
Publikováno v:
CCRIS
This article proposes a recommendation system for choosing an academic supervisor, based on an assessment of the similarity of student interests and the scientific achievements of the possible mentor from the university faculty. We used a new approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8532de92f65d2f44f251a783524112c8
https://doi.org/10.1145/3437802.3437817
https://doi.org/10.1145/3437802.3437817
Autor:
Daria Kozlova, Maksim Khlopotov, Vladimir Kazakovtsev, Igor Glukhov, Timofey Podolenchuk, Alexander Panfilov, Alexey Serdyukov, Svyatoslav A. Oreshin, Daniil Masalskiy, Ivan Smetannikov, Yulia E. Kaliberda, Egor Krasheninnikov, Polina Petrusha, Andrey Filchenkov
Publikováno v:
CCRIS
This research is dedicated to the problem of transforming ”linear” educational systems of higher education institutions into a new paradigm of person-centered, blended and individual education. This paper investigates role, application, and chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb117fa119bf85d1618175fc2550f000
https://doi.org/10.1145/3437802.3437816
https://doi.org/10.1145/3437802.3437816
Autor:
Anna Arzumanian, Svetlana Derkunskaia, Anton Govorov, Anastasiia Chernysheva, Maksim Khlopotov
Publikováno v:
FRUCT
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 108-114 (2020)
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 108-114 (2020)
The article presents a graph model for building learning pathways between academic courses based on the relations between keywords. In this study, we use two-layer graph model where the first layer is represented by academic courses, the second one b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73aa92aae01f4b860493a787f823e0cd
https://doi.org/10.23919/fruct48808.2020.9087453
https://doi.org/10.23919/fruct48808.2020.9087453
Autor:
Maksim Khlopotov, Yulia Solomonova
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030378578
This paper presents an approach to Russian text vectorization based on SRSTI classifier. Our approach is based on using SRSTI categories as vector space dimensions. The categories are defined by lists of keywords. We explain our choice of SRSTI as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82e3d1a8f8befe47059e87139b5a48b
https://doi.org/10.1007/978-3-030-37858-5_64
https://doi.org/10.1007/978-3-030-37858-5_64