Rodrigo Rivera-Castro

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Relationship Management

Demand Forecasting

Event Sequences

Exponential Smoothing

Top Venues

Publications

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 (2023)
Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev
Sequence Embeddings Help Detect Insurance Fraud. IEEE Access 10 (2022)
Rodrigo Rivera-Castro, Evgeny Burnaev
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. DSAA (2021)
Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR (2021)
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 (2021)
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)
Polina Pilyugina, Rodrigo Rivera-Castro, Eugeny Burnaev
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis. CoRR (2020)
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. CoRR (2020)
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. IEEE BigData (2020)
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 (2020)
Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
Graph Neural Networks for Model Recommendation using Time Series Data. ICMLA (2020)
Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
Topological Data Analysis for Portfolio Management of Cryptocurrencies. CoRR (2020)
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 (2020)
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 (2019)
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)
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)
Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
Topological Data Analysis for Portfolio Management of Cryptocurrencies. ICDM Workshops (2019)
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 (2019)
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)