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ORCIDRodrigo Rivera-Castro
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2020 – today
- 2023
[i10]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:
Continuous-time convolutions model of event sequences. CoRR abs/2302.06247 (2023)- 2022
- [j1]Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev:
Sequence Embeddings Help Detect Insurance Fraud. IEEE Access 10: 32060-32074 (2022) - 2021
- [c8]Rodrigo Rivera-Castro, Evgeny Burnaev:
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. DSAA 2021: 1-3 - [c7]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. KDD 2021: 2868-2878 - [i9]Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev:
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR abs/2104.01440 (2021) - [i8]Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev:
Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR abs/2106.08361 (2021) - 2020
- [c6]Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. IEEE BigData 2020: 5128-5137 - [c5]Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev:
Graph Neural Networks for Model Recommendation using Time Series Data. ICMLA 2020: 1534-1541 - [i7]Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev:
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data. CoRR abs/2008.12152 (2020) - [i6]Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. CoRR abs/2009.03362 (2020) - [i5]Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev:
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. CoRR abs/2009.03455 (2020) - [i4]Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting. CoRR abs/2009.03661 (2020) - [i3]Polina Pilyugina, Rodrigo Rivera-Castro, Eugeny Burnaev:
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis. CoRR abs/2010.05056 (2020)
2010 – 2019
- 2019
- [c4]Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev:
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. DSAA 2019: 326-336 - [c3]Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev:
Topological Data Analysis for Portfolio Management of Cryptocurrencies. ICDM Workshops 2019: 238-243 - [c2]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev:
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. ICMLA 2019: 134-139 - [c1]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. ISNN (1) 2019: 213-222 - [i2]Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev:
Demand forecasting techniques for build-to-order lean manufacturing supply chains. CoRR abs/1905.07902 (2019) - [i1]Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev:
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management. CoRR abs/1906.03956 (2019)
Coauthor Index
aka: Eugeny Burnaev
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