Artificial Intelligence Development Strategies
British Academy of Management, 2022
, , in : Proceedings of the European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR 2021). : Academic Conferences and Publishing International Limited, 2021. P. 174-182.
Added: October 31, 2021
, , in : Annual GSOM Emerging Markets Conference 2020. Conference book. : Graduate School of Management, St. Petersburg State University, 2020. P. 94-97.
Artificial Intelligence (AI) is a rapidly developing technology field, which has attracted the attention of society, including not business and politicians. For 2017-2020, many countries have already formed their official Artificial Intelligence development strategies. The main goal of this paper is the analysis of emerging market multinational enterprises (EMNEs) AI strategies to support the emergent economy and identify key ...
Added: February 27, 2021
22nd International Conference, MMST 2022, Nizhny Novgorod, Russia, November 14–17, 2022, Revised Selected Papers
This book constitutes selected and revised papers from the 22nd International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2022, held in Nizhny Novgorod, Russia, in November 2022. The 20 full papers and 5 short papers presented in the volume were thoroughly reviewed and selected from the 48 submissions. They are organized in topical secions on computational methods ...
Added: December 26, 2022
Curran Associates, Inc., 2022
Proceedings of the international conference "Neural Information Processing Systems 2022." (NeurIPS 2022) ...
Added: December 20, 2022
, , Journal of Economic Asymmetries 2022 Vol. 25 Article e00238
We conduct an open search of predictors of global real economic activity. To this end, we apply a predictive quantile regression framework, using four alternative proxies of global real economic activity during February 1997–August 2019 and building on a combination of machine learning algorithms to identify their predictors out of 23 candidate explanatory variables. The contemporaneous level ...
Added: February 10, 2022
SEQUENCE-BASED AND STRUCTURE-BASED MACHINE-LEARNING MODELS FOR RECOGNITION OF 3’-END L1 AND ALU STEM-LOOPS IN HUMAN GENOME
, , , , in : The proceedings of International congress «Biotechnology: state of the art and perspectives» FEBRUARY 25 - 27, 2019. : LLC “RED GROUP”, 2019. P. 356-356.
We built and evaluated two types of models: sequence-based and structure-based for recognition of 3’-end stem- loops of human L1s and Alus and found most important parameters contributing to recognition: Shift, Tilt and Rise, and aslo hydrophilicity. ...
Added: November 12, 2019
Added: March 24, 2022
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
Learning and Intelligent Optimization. 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21, 2014. Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. A large variety of topics are covered, such as algorithm configuration; multiobjective ...
Added: September 15, 2014
, , in : Software Quality: Future Perspectives on Software Engineering Quality: 13th International Conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, Proceedings. : Springer, 2021. P. 54-65.
In this concept paper, we explore some of the aspects of quality of continuous learning artificial intelligence systems as they interact with and influence their environment. We study an important problem of implicit feedback loops that occurs in recommendation systems, web bulletins and price estimation systems. We demonstrate how feedback loops intervene with user behavior ...
Added: September 23, 2021
, Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
, , et al., Plos One 2022 Vol. 17 No. 10 Article e0275814
Artificial intelligence and machine learning have demonstrated remarkable results in science and applied work. However, present AI models, developed to be run on computers but used in human-driven applications, create a visible disconnect between AI forms of processing and human ways of discovering and using knowledge. In this work, we introduce a new concept of ...
Added: October 29, 2022
, , et al., Journal of High Energy Physics 2019 Vol. 2019 No. 2 P. 1-33
A search for CP violation in the Cabibbo-suppressed D0 → K+K−π+π− decay mode is performed using an amplitude analysis. The measurement uses a sample of pp collisions recorded by the LHCb experiment during 2011 and 2012, corresponding to an integrated luminosity of 3.0 fb−1. The D0 mesons are reconstructed from semileptonic b-hadron decays into D0μ−X final states. The selected sample contains more than 160 000 signal decays, allowing ...
Added: March 17, 2019
Что в профиле тебе моем: Данные «ВКонтакте» как инструмент изучения интересов современных подростков
, , Вопросы образования 2017 № 2 С. 134-152
Children’s interests play a key role in their psychological development. However, research in this field is associated with serious methodological problems, as it has traditionally used questionnaire surveys that cannot adequately describe the diverse and dynamic world of interests of a developing person. The article suggests using the information on VKontakte communities followed by teenagers, ...
Added: July 21, 2017
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
, , et al., , in : International Conference on Machine Learning (ICML 2020). Vol. 119.: PMLR, 2020. P. 5556-5566.
Added: October 17, 2020
, В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 223-224.
Данная работа посвящена актуальной теме автоматизации в машинном обучении на примере создания универсальной рекомендательной системы. В работе исследуются различные типы рекомендательных систем, акцент делается на подходы коллаборативной фильтрации. Изучаются методы автоматизации машинного обучения, на основе которых будет разработана данная рекомендательная система. ...
Added: October 31, 2020
Исследовательский проект как инструмент обучения методам анализа текста: предсказание класса поста в социальной сети
, , et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
Dordrecht, L., Heidelberg, NY : Springer, 2014
This book constitutes the thoroughly refereed proceedings of the Third International Conference on Belief Functions, BELIEF 2014, held in Oxford, UK, in September 2014. The 47 revised full papers presented in this book were carefully selected and reviewed from 56 submissions. The papers are organized in topical sections on belief combination; machine learning; applications; theory; ...
Added: October 1, 2014
, , et al., , in : 2021 International Conference Engineering and Telecommunication (En&T). : IEEE, 2022. P. 1-6.
Style transfer is an important and a rapidly developing of Natural Language Processing. This days more and more methods and models are proposed which allow us to generate text in predefined style. In this paper we propose a framework for style transfer of “Friends” TV series. The trained models are able to mimic one of ...
Added: May 21, 2022
Added: July 27, 2022
, В кн. : МАШИННОЕ ОБУЧЕНИЕ В ИССЛЕДОВАНИЯХ МЕДИКО-БИОЛОГИЧЕСКИХ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ ДАННЫХ. : СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2020. С. 284-333.
In many practical tasks it is needed to estimate an effect of treatment on individual level. For example, in medicine it is essential to determine the patients that would benefit from a certain medicament. In marketing, knowing the persons that are likely to buy a new product would reduce the amount of spam. In this ...
Added: December 7, 2021
, , et al., Journal of Cheminformatics 2022 Vol. 14 Article 49
Polypharmacy refers to the administration of multiple drugs on a daily basis. It has demonstrated effectiveness in treating many complex diseases , but it has a higher risk of adverse drug reactions. Hence, the prediction of polypharmacy side effects is an essential step in drug testing, especially for new drugs. This paper shows that the ...
Added: October 11, 2022
Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019
CEUR Workshop Proceedings, 2019
Proceedings of the Fifth Workshop on Experimental Economics and Machine Learning at the National Research Univeristy Higher School of Economics co-located with the Seventh International Conference on Applied Research in Economics (iCare7) ...
Added: October 23, 2019