Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pilyugina, Polina"'
Autor:
Pilyugina, Polina, Chernikov, Timofey, Zaytsev, Alexey, Bulkin, Alexander, Burnaev, Evgeny, Belalov, Ilya, Sotiriadi, Nazar, Maximov, Yury, Anisimov, Oleg
Global warming accelerates permafrost degradation, impacting the reliability of critical infrastructure used by more than five million people daily. Furthermore, permafrost thaw produces substantial methane emissions, further accelerating global warm
Externí odkaz:
http://arxiv.org/abs/2310.02525
Autor:
Triebe, Oskar, Hewamalage, Hansika, Pilyugina, Polina, Laptev, Nikolay, Bergmeir, Christoph, Rajagopal, Ram
We introduce NeuralProphet, a successor to Facebook Prophet, which set an industry standard for explainable, scalable, and user-friendly forecasting frameworks. With the proliferation of time series data, explainable forecasting remains a challenging
Externí odkaz:
http://arxiv.org/abs/2111.15397
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
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
Publikováno v:
2019 International Conference on Data Mining Workshops (ICDMW)
Portfolio management is essential for any investment decision. Yet, traditional methods in the literature are ill-suited for the characteristics and dynamics of cryptocurrencies. This work presents a method to build an investment portfolio consisting
Externí odkaz:
http://arxiv.org/abs/2009.03362
Autor:
Sangadiev, Aiusha, Rivera-Castro, Rodrigo, Stepanov, Kirill, Poddubny, Andrey, Bubenchikov, Kirill, Bekezin, Nikita, Pilyugina, Polina, Burnaev, Evgeny
This work proposes DeepFolio, a new model for deep portfolio management based on data from limit order books (LOB). DeepFolio solves problems found in the state-of-the-art for LOB data to predict price movements. Our evaluation consists of two scenar
Externí odkaz:
http://arxiv.org/abs/2008.12152
Autor:
Rivera-Castro, Rodrigo, Pilyugina, Polina, Pletnev, Alexander, Maksimov, Ivan, Wyz, Wanyi, Burnaev, Evgeny
Publikováno v:
Industrial Marketing & Purchasing Group Conference (IMP19), 2019
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 to the field of financial time series primarily and as a method for feature g
Externí odkaz:
http://arxiv.org/abs/1906.03956
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