Polina Pilyugina

According to our database, Polina Pilyugina authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Large-Scale Empirical Study of Aligned Time Series Forecasting.

Polina Pilyugina, Svetlana Medvedeva, Kirill Mosievich, Ilya Trofimov, Alina Kostromina, Dmitry Simakov, Evgeny Burnaev

IEEE Access, 2024

2021

NeuralProphet: Explainable Forecasting at Scale.

Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal

CoRR, 2021

2020

TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis.

Polina Pilyugina, Rodrigo Rivera-Castro, Eugeny Burnaev

CoRR, 2020

DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data.

Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev

CoRR, 2020

2019

Topological Data Analysis of Time Series Data for B2B Customer Relationship Management.

Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev

CoRR, 2019

Topological Data Analysis for Portfolio Management of Cryptocurrencies.

Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.

Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019