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Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019
Vol. 2479.
CEUR Workshop Proceedings, 2019.
Under the general editorship: Buzmakov A. V., K. Heinrich, Ignatov D. I., Potapov D., Tagiew R.
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)
Ignatov D. I., Michael F., , in : Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019. Vol. 2479.: CEUR Workshop Proceedings, 2019. Ch. 8. P. 89-99.
This paper discusses the scientific and practical perspectives of using general game playing in business-to-business price negotiations as a part of Procurement 4.0 revolution. The status quo of digital price negotiations software, which emerged from intuitive solutions to business goals and refereed to as electronic auctions in industry, is summarized in a scientific context. Description of ...
Added: February 9, 2020
Lozinskaia A. M., Saltykova A., , in : Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019. Vol. 2479.: CEUR Workshop Proceedings, 2019. P. 32-45.
This paper is an empirical study of the changing nature of the dependence of fundamental factors on the stock market index, which is the trend identified earlier in the Russian stock market. We empirically test the impact of daily values of fundamental factors on the MOEX Russia Index from 2003 to 2018. The analysis of ...
Added: October 23, 2019
Timur Kadyrov, Ignatov D. I., , in : Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019. Vol. 2479.: CEUR Workshop Proceedings, 2019. P. 77-88.
A multichannel attribution model based on gradient boost- ing over trees is proposed, which was compared with the state of the art models: bagged logistic regression, Markov chains approach, shapely value. Experiments on digital advertising datasets showed that the pro- posed model is better than the solutions considered by ROC AUC metric. In addition, the ...
Added: January 20, 2020
Daria Semenova, Maria Temirkaeva, , in : Proceedings of the Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019),Perm, Russia, September 26, 2019. Vol. 2479.: CEUR Workshop Proceedings, 2019. P. 46-56.
Today, treatment effect estimation at the individual level is a vital problem in many areas of science and business. For example, in marketing, estimates of the treatment effect are used to select the most efficient promo-mechanics; in medicine, individual treatment effects are used to determine the optimal dose of medication for each patient and so ...
Added: October 22, 2019
Language:
English
Aachen : CEUR Workshop Proceedings, 2017
Workshop concentrates on an interdisciplinary approach to modeling human behavior incorporating data mining and/or expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments can be compared with noisy industrial data-sets from the web e.g.. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: October 10, 2017
Aachen : CEUR Workshop Proceedings, 2019
Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: November 19, 2019
Tagiew R., Ignatov D. I., Amroush F., , in : 2013 IEEE 13th International Conference on Data Mining Workshops. : Los Alamitos : IEEE Computer Society, 2013. P. 445-451.
In this paper, we want to introduce experimental economics to the field of data mining and vice versa. It continues related work on mining deterministic behavior rules of human subjects in data gathered from experiments. Game-theoretic predictions partially fail to work with this data. Equilibria also known as game-theoretic predictions solely succeed with experienced subjects ...
Added: June 9, 2014
Bezzubtseva A. A., Ignatov D. I., , in : 2013 IEEE 13th International Conference on Data Mining Workshops. : Los Alamitos : IEEE Computer Society, 2013. P. 426-432.
This paper presents a preliminary analysis of hotel room prices in several European cities based on the data from Booking.com website. The main question raised in the study is whether early booking is advantageous indeed, and if so, how early should it be? First a script was developed to download more than 600 thousand hotel ...
Added: June 9, 2014
Lukashina N., Kartysheva E., Spjuth O. 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
Stolbov M., Shchepeleva M., 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
Derkach D., Hushchyn M., Kazeev N. 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
Gothenburg : Association for Computational Linguistics, 2023
Current deep learning systems require large amounts of data in order to yield optimal results. Despite ever-increasing model and data size, these systems have achieved remarkable success across a wide range of tasks in NLP, and AI in general. However, these systems possess a number of limitations. Firstly, the models require a significant amount of ...
Added: December 5, 2023
Buzmakov A. V., 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
Springer, 2014
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
Prague : CEUR Workshop Proceedings, 2014
The first and the second edition of the FCA4AI Workshop showed that many researchers working in Artificial Intelligence are indeed interested by a well-founded method for classi- fication and mining such as Formal Concept Analysis (see http://www.fca4ai.hse.ru/). The first edition of FCA4AI was co-located with ECAI 2012 in Montpellier and published as http://ceur-ws.org/Vol-939/ while the ...
Added: September 12, 2014
Kuznetsov V. O., 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
Dudyrev E., Semenkov Ilia, Kuznetsov S. 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
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Кузнецов А. С., Shvechikov P., Grishin A. et al., , in : International Conference on Machine Learning (ICML 2020). Vol. 119.: PMLR, 2020. P. 5556-5566.
Added: October 17, 2020
Сендерович М. А., 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
Natalia Sizykh, Said Dandamaev, Dmitry Sizykh, , in : 16th International Conference Management of large-scale system development (MLSD). : IEEE, 2023. P. 1-5.
Forecasting data and research on cryptocurrency price forecasting methods are increasing in importance. So far, methods based on LSTM deep learning architecture have shown the best results in forecasting cryptocurrency prices. In order to improve the accuracy of forecasting data, this paper investigates the application of a multivariate multistep forecasting method based on the LSTM ...
Added: December 22, 2023
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
Belov A. V., Ekaterina A. Melekhova, Vorontsova T., , in : 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS). : St. Petersburg : IEEE, 2022. P. 219-223.
The paper deals with the problem of improving the quality of metal products. Nowadays destructive methods of quality control of the steel billets prevail at metallurgical enterprises. This approach to assessing the quality of the steel billets is wasteful, which increases its cost. One of the ways to reduce the cost of production of metal ...
Added: January 28, 2023
Tikhonova M., Elina Telesheva, Mirzoev S. 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
[б.и.], 2018
Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018) ...
Added: October 29, 2018
PMLR, 2022
Added: July 27, 2022
Anton Khritankov, , 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
Suvorova A., Смирнова К. Р., Будин Е. А. 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