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Rodrigo Rivera-Castro
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Adversarial attacks on deep models for financial transaction records
I Fursov, M Morozov, N Kaploukhaya, E Kovtun, R Rivera-Castro, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
262021
Forecasting of commercial sales with large scale Gaussian Processes
R Rivera, E Burnaev
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 625-634, 2017
232017
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
R Rivera, I Nazarov, E Burnaev
Journal of Physics: Conference Series 1117 (1), 012010, 2018
112018
Topological data analysis for portfolio management of cryptocurrencies
R Rivera-Castro, P Pilyugina, E Burnaev
2019 International Conference on Data Mining Workshops (ICDMW), 238-243, 2019
102019
Demand forecasting techniques for build-to-order lean manufacturing supply chains
R Rivera-Castro, I Nazarov, Y Xiang, A Pletneev, I Maksimov, E Burnaev
Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019
102019
Sequence embeddings help detect insurance fraud
I Fursov, E Kovtun, R Rivera-Castro, A Zaytsev, R Khasyanov, M Spindler, ...
IEEE Access 10, 32060-32074, 2022
82022
Addressing cold start in recommender systems with hierarchical graph neural networks
I Maksimov, R Rivera-Castro, E Burnaev
2020 IEEE International Conference on Big Data (Big Data), 5128-5137, 2020
82020
Topological data analysis of time series data for B2B customer relationship management
R Rivera-Castro, P Pilyugina, A Pletnev, I Maksimov, W Zhu, E Burnaev
35th IMP-conference in Paris, France, 2019
82019
An industry case of large-scale demand forecasting of hierarchical components
R Rivera-Castro, I Nazarov, Y Xiang, I Maksimov, A Pletnev, E Burnaev
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
62019
Topology-based clusterwise regression for user segmentation and demand forecasting
R Rivera-Castro, A Pletnev, P Pilyugina, G Diaz, I Nazarov, W Zhu, ...
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
62019
Deepfolio: Convolutional neural networks for portfolios with limit order book data
A Sangadiev, R Rivera-Castro, K Stepanov, A Poddubny, K Bubenchikov, ...
arXiv preprint arXiv:2008.12152, 2020
42020
Graph Neural Networks for Model Recommendation using Time Series Data
A Pletnev, R Rivera-Castro, E Burnaev
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
32020
Continuous-time convolutions model of event sequences
V Zhuzhel, V Grabar, G Boeva, A Zabolotnyi, A Stepikin, V Zholobov, ...
arXiv preprint arXiv:2302.06247, 2023
22023
COHORTNEY: Non-Parametric Clustering of Event Sequences
V Zhuzhel, R Rivera-Castro, N Kaploukhaya, L Mironova, A Zaytsev, ...
arXiv preprint arXiv:2104.01440, 2021
22021
Cohortney: Deep clustering for heterogeneous event sequences
V Zhuzhel, R Rivera-Castro, N Kaploukhaya, L Mironova, A Zaytsev, ...
arXiv preprint arXiv:2104.01440, 2021
22021
CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions
R Rivera-Castro, E Burnaev
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
12021
Topologically-based Variational Autoencoder for Time Series Classification
R Rivera-Castro, S Moustafa, P Pilyugina, E Burnaev
latinxinai. org, 2020
12020
No two users are alike: Generating audiences with neural clustering for temporal point processes
V Zhuzhel, V Grabar, N Kaploukhaya, R Rivera-Castro, L Mironova, ...
Doklady Mathematics 108 (Suppl 2), S511-S528, 2023
2023
COTIC: Embracing Non-uniformity in Event Sequence Data via Multilayer Continuous Convolution
VA Zhuzhel, V Grabar, G Boeva, A Zabolotnyi, A Stepikin, V Zholobov, ...
2023
TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis
P Pilyugina, R Rivera-Castro, E Burnaev
arXiv preprint arXiv:2010.05056, 2020
2020
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