Rodrigo Rivera-Castro

According to our database, Rodrigo Rivera-Castro authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

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

CoRR, 2023

2022

Sequence Embeddings Help Detect Insurance Fraud.

Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev

IEEE Access, 2022

2021

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences.

Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev

CoRR, 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, Evgeny Burnaev

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions.

Rodrigo Rivera-Castro, Evgeny Burnaev

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 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

Graph Neural Networks for Model Recommendation using Time Series Data.

Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks.

Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.

Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev

Proceedings of the Advances in Neural Networks - ISNN 2019, 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

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 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