Rodrigo Rivera-Castro

20 papers A* 1B 2C 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution.
IEEE Access
Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Alexander Stepikin, Artem Zabolotnyi, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan A. Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev
2023 J jnl
Continuous-time convolutions model of event sequences.
CoRR
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
2022 J jnl
Sequence Embeddings Help Detect Insurance Fraud.
IEEE Access
Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev
2021 A* conf
Adversarial Attacks on Deep Models for Financial Transaction Records.
KDD
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021 J jnl
Adversarial Attacks on Deep Models for Financial Transaction Records.
CoRR
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021 B conf
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions.
DSAA
Rodrigo Rivera-Castro, Evgeny Burnaev
2021 J jnl
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences.
CoRR
Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
2020 — conf
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks.
IEEE BigData
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
2020 J jnl
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks.
CoRR
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
2020 J jnl
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data.
CoRR
Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev
2020 C conf
Graph Neural Networks for Model Recommendation using Time Series Data.
ICMLA
Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
2020 J jnl
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis.
CoRR
Polina Pilyugina, Rodrigo Rivera-Castro, Eugeny Burnaev
2020 J jnl
Topological Data Analysis for Portfolio Management of Cryptocurrencies.
CoRR
Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
2020 J jnl
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting.
CoRR
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
2019 C conf
An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components.
ICMLA
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev
2019 — conf
Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.
ISNN (1)
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019 J jnl
Demand forecasting techniques for build-to-order lean manufacturing supply chains.
CoRR
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019 — conf
Topological Data Analysis for Portfolio Management of Cryptocurrencies.
ICDM Workshops
Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
2019 J jnl
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management.
CoRR
Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev
2019 B conf
Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.
DSAA
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev