?
MLDev: Data Science Experiment Automation and Reproducibility Software
P. 3–18.
Anton Khritankov, Pershin N., Ukhov N., Ukhov A.
Miske O., Abatayo A. L., Daley M. et al., Nature 2026 Vol. 652 P. 126–134
Published claims should be reproducible, yielding the same result when applying the same analysis to the same data. ...
Added: January 19, 2026
ICLR, 2025.
The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data ...
Added: December 24, 2024
Лукашенко М. А., Никольский В. С., Sharova E., Высшее образование в России 2022 Т. 31 № 4 С. 129–147
Data science as an emerging branch of applied knowledge and a new field of study
is showing a strong momentum. Besides, the corresponding sphere of educational research is
actively developing. At the same time, most of the scientific publications are aimed at studying
specific issues related to the content of the programs and their methodological support. The
wider context ...
Added: September 5, 2023
Никольский В. С., Лукашенко М. А., Шарова Е. А., Высшее образование в России 2022 Т. 31 № 4 С. 129–147
Data science as an emerging branch of applied knowledge and a new field of study
is showing a strong momentum. Besides, the corresponding sphere of educational research is
actively developing. At the same time, most of the scientific publications are aimed at studying
specific issues related to the content of the programs and their methodological support. The
wider context ...
Added: December 2, 2022
Delios A., Clemente E. G., Wu T. et al., Proceedings of the National Academy of Sciences of the United States of America 2022 Vol. 119 No. 30 Article e2120377119
This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports ...
Added: July 19, 2022
Springer, 2021.
This book constitutes the proceedings of the 6th International Conference on Digital Economy, ICDEc 2021. The conference was held during July 15–17, 2021. It was initially planned to take place in Tallin, Estonia, but changed to a virtual event due to the COVID-19 pandemic.
The 18 papers presented in this volume were carefully reviewed and selected ...
Added: January 14, 2022
IEEE, 2021.
IEEE Comnetsat 2021 aims to address the current state of technology and the outcome of ongoing research in the area of Communications, Networks, and Satellite Systems, which covers theory, design, and application of computer and communication, networks, satellite systems as well as broadband photonic systems, data science, and artificial intelligence. ...
Added: October 7, 2021
Miasnikof P., Shestopaloff A. Y., Bonner A. J. et al., Journal of Complex Networks 2020 Vol. 8 No. 3 P. 1–33
We introduce graph clustering quality measures based on comparisons of global, intra- and inter-cluster densities, an accompanying statistical significance test and a step-by-step routine for clustering quality assessment. Our work is centred on the idea that well-clustered graphs will display a mean intra-cluster density that is higher than global density and mean inter-cluster density. We ...
Added: August 4, 2020
Maksimenkova O. V., Neznanov A., Radchenko I., International Journal of Emerging Technologies in Learning 2019 Vol. 14 No. 11 P. 107–122
The paper addresses the questions of data science education of current importance. It aims to introduce and justify the framework that allows flexibly evaluate the processes of a data expedition and a digital media created during it. For these purposes, the authors explore features of digital media artefacts which are specific to data expeditions and ...
Added: June 16, 2019
Musabirov I., Поздняков С. И., Tenisheva K., International Journal of Emerging Technologies in Learning 2019 Vol. 14 No. 5 P. 64–74
This paper studies the patterns of learning behaviour in connection with educational achievement in multi-year undergraduate data science minor specialisation for non-STEM students. In particular, this work focuses on analysing the predictors of academic achievement in blended-learning setting factors related to initial mathematics knowledge, specific traits of educational programs, online and offline learning engagement, and ...
Added: April 17, 2019
Maksimenkova O. V., Neznanov A., Radchenko I., , in: The Challenges of the Digital Transformation in EducationVol. 1.: Switzerland: Springer, 2020. P. 14–25.
The paper addresses the questions of data science education of
current importance. It aims to introduce and justify the framework that allows
flexibly evaluate the processes of a data expedition and a digital media created
during it. For these purposes, the authors explore features of digital media
artefacts which are specific to data expeditions and are essential to accurate
evaluation. ...
Added: February 6, 2019
CEUR Workshop Proceedings, 2018.
This volume contains the papers presented at session"Data Science" within the IV International
Conference on Information Technology and Nanotechnology (ITNT-2018) which was held in Samara,
Russia, April 24−27, 2018 (itnt-conf.org). The Conference is intended to provide a forum for leading
scientists from all over the world to discuss the latest advances in the basic and applied research in ...
Added: December 11, 2018
Okopny P., Musabirov I., Bakhitova A., , in: Proceedings of the 6th International Conference on Designs for Learning.: Bergen: Centre for the Science of Learning & Technology (SLATE), 2018. P. 47–53.
We follow a design-based approach to design and evaluate a collaboration tool for code and report sharing in a mixed-major undergraduate minor programme in Data Science for non-STEM students, investigating and enhancing practices of knowledge transfer among students, and analysing connection of exchange participation with educational achievement and the number of student's friends. ...
Added: December 10, 2018
Berlee A., Busch C., Carlson A. et al., Edward Elgar Publishing, 2018.
The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal ...
Added: November 4, 2018
Самара: Предприятие "Новая техника", 2018.
Конференции ИТНТ-2018 проводится с целью предоставления возможности научных дискуссий и обсуждения результатов фундаментальных и прикладных исследований в области информационных технологий и нанотехнологий, привлечения молодежи в сферу передовых научных исследований, обмена опытом научнообразовательной деятельности при подготовке ИТНТ-специалистов. Тематика Конференции ИТНТ-2018 охватывает широкий круг областей применения информационных технологий в науке и высокотехнологичных отраслях промышленности. Основными направлениями работы ...
Added: October 18, 2018
Tagiew R., Ignatov D. I., , in: Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017Vol. 1968.: Aachen: CEUR Workshop Proceedings, 2017. Ch. 6 P. 52–64.
Academic rewards and honors are proven to correlate with h-index, although it was not the decision criterion for them till recent years. Once h-index becomes the rule-setting scientometric ranking measure in the zero-sum game for academic positions and research resources as suggested by its advocates, the rational behavior of competing academics is expected to converge ...
Added: December 17, 2017