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Rodrigo Rivera-Castro
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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
222017
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
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
102021
Demand forecasting techniques for build-to-order lean manufacturing supply chains
R Rivera-Castro, I Nazarov, Y Xiang, A Pletneev, I Maksimov, E Burnaev
International Symposium on Neural Networks, 213-222, 2019
82019
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
72019
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
72019
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
32022
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
32019
Cohortney: Deep clustering for heterogeneous event sequences
V Zhuzhel, R Rivera-Castro, N Kaploukhaya, L Mironova, A Zaytsev, ...
22021
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
22020
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
22020
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
22020
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
22019
Topologically-based Variational Autoencoder for Time Series Classification
R Rivera-Castro, S Moustafa, P Pilyugina, E Burnaev
latinxinai. org, 2020
12020
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
2021
COHORTNEY: Non-Parametric Clustering of Event Sequences
V Zhuzhel, R Rivera-Castro, N Kaploukhaya, L Mironova, A Zaytsev, ...
arXiv preprint arXiv:2104.01440, 2021
2021
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
Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
R Rivera-Castro, I Nazarov, E Burnaev
arXiv preprint arXiv:2009.04359, 2020
2020
PROCEEDINGS-2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, BIG DATA 2020
I Maksimov, R Rivera-Castro, E Burnaev, ZA Khan, NA Siami
2020
E-energy: Trend Report 2009
R Rivera, J Cornelius
E-energy, 2009
2009
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