Zobrazeno 1 - 10
of 458
pro vyhledávání: '"Rivera Castro"'
Autor:
Zhuzhel, Vladislav, Grabar, Vsevolod, Boeva, Galina, Zabolotnyi, Artem, Stepikin, Alexander, Zholobov, Vladimir, Ivanova, Maria, Orlov, Mikhail, Kireev, Ivan, Burnaev, Evgeny, Rivera-Castro, Rodrigo, Zaytsev, Alexey
Event sequences often emerge in data mining. Modeling these sequences presents two main challenges: methodological and computational. Methodologically, event sequences are non-uniform and sparse, making traditional models unsuitable. Computationally,
Externí odkaz:
http://arxiv.org/abs/2302.06247
El presente artículo de investigación tiene como objetivo proponer una definición legal uniforme y pertinente del contrato a tiempo parcial para garantizar los derechos de los trabajadores y sus intereses, la misma que en nuestros días se ve afec
Externí odkaz:
http://hdl.handle.net/20.500.12423/4798
Autor:
Llauri Sueros, Antony Elard, Martinez Orosco, Jeny Margot, Rivera Castro, Yarelis Evelin, vasquez sanchez, Monica yolanda
Publikováno v:
Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPC.
El presente proyecto tiene como finalidad demostrar que la idea de negocio es factible y aceptable debido a que la industria de bebidas naturales se ha convertido en un poderoso sector, el cual ha ido creciendo a nivel mundial en los últimos años.
Externí odkaz:
http://hdl.handle.net/10757/652855
Autor:
Fursov, Ivan, Morozov, Matvey, Kaploukhaya, Nina, Kovtun, Elizaveta, Rivera-Castro, Rodrigo, Gusev, Gleb, Babaev, Dmitry, Kireev, Ivan, Zaytsev, Alexey, Burnaev, Evgeny
Machine learning models using transaction records as inputs are popular among financial institutions. The most efficient models use deep-learning architectures similar to those in the NLP community, posing a challenge due to their tremendous number o
Externí odkaz:
http://arxiv.org/abs/2106.08361
Autor:
Zhuzhel, Vladislav, Rivera-Castro, Rodrigo, Kaploukhaya, Nina, Mironova, Liliya, Zaytsev, Alexey, Burnaev, Evgeny
Cohort analysis is a pervasive activity in web analytics. One divides users into groups according to specific criteria and tracks their behavior over time. Despite its extensive use, academic circles do not discuss cohort analysis to evaluate user be
Externí odkaz:
http://arxiv.org/abs/2104.01440
This work is devoted to a comprehensive analysis of topological data analysis fortime series classification. Previous works have significant shortcomings, such aslack of large-scale benchmarking or missing state-of-the-art methods. In this work,we pr
Externí odkaz:
http://arxiv.org/abs/2010.05056
This research article suggests that there are significant benefits in exposing demand planners to forecasting methods using matrix completion techniques. This study aims to contribute to a better understanding of the field of forecasting with multiva
Externí odkaz:
http://arxiv.org/abs/2009.04359
Autor:
Rivera-Castro, Rodrigo, Pletnev, Aleksandr, Pilyugina, Polina, Diaz, Grecia, Nazarov, Ivan, Zhu, Wanyi, Burnaev, Evgeny
Publikováno v:
2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure. Its use for time series data has been limited. In this work, a system developed for a leading provider of cloud computing c
Externí odkaz:
http://arxiv.org/abs/2009.03661
Time series prediction aims to predict future values to help stakeholders make proper strategic decisions. This problem is relevant in all industries and areas, ranging from financial data to demand to forecast. However, it remains challenging for pr
Externí odkaz:
http://arxiv.org/abs/2009.03474
Publikováno v:
IEEE Big Data 2020
Recommender systems have become an essential instrument in a wide range of industries to personalize the user experience. A significant issue that has captured both researchers' and industry experts' attention is the cold start problem for new items.
Externí odkaz:
http://arxiv.org/abs/2009.03455