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 (DSAA, 2019)

Topological Data Analysis for Portfolio Management of Cryptocurrencies. - Rodrigo Rivera-Castro; Polina Pilyugina; Evgeny Burnaev (ICDM Workshops, 2019)

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Ivan Maksimov; Aleksandr Pletnev; Evgeny Burnaev (ICMLA, 2019)

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Alexander Pletneev; Ivan Maksimov; Evgeny Burnaev (ISNN (1), 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)

Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. - Ivan Maksimov; Rodrigo Rivera-Castro; Evgeny Burnaev (IEEE BigData, 2020)

Graph Neural Networks for Model Recommendation using Time Series Data. - Aleksandr Pletnev; Rodrigo Rivera-Castro; Evgeny Burnaev (ICMLA, 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)

TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis. - Polina Pilyugina; Rodrigo Rivera-Castro; Eugeny Burnaev (CoRR, 2020)

CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. - Rodrigo Rivera-Castro; Evgeny Burnaev (DSAA, 2021)

Adversarial Attacks on Deep Models for Financial Transaction Records. - Ivan Fursov; Matvey Morozov; Nina Kaploukhaya; Elizaveta Kovtun; Rodrigo Rivera-Castro; Gleb Gusev; Dmitry Babaev; Ivan Kireev; Alexey Zaytsev 002; Evgeny Burnaev (KDD, 2021)

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. - Vladislav Zhuzhel; Rodrigo Rivera-Castro; Nina Kaploukhaya; Liliya Mironova; Alexey Zaytsev 002; Evgeny Burnaev (CoRR, 2021)

Sequence Embeddings Help Detect Insurance Fraud. - Ivan Fursov; Elizaveta Kovtun; Rodrigo Rivera-Castro; Alexey Zaytsev 002; Rasul Khasyanov; Martin Spindler; Evgeny Burnaev (IEEE Access, 2022)

Continuous-time convolutions model of event sequences. - Vladislav Zhuzhel; Vsevolod Grabar; Galina Boeva; Artem Zabolotnyi; Alexander Stepikin; Vladimir Zholobov; Maria Ivanova; Mikhail Orlov; Ivan Kireev; Evgeny Burnaev; Rodrigo Rivera-Castro; Alexey Zaytsev 002 (CoRR, 2023)