Rodrigo Rivera-Castro
Title
Cited by
Cited by
Year
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
182017
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
102018
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 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
52019
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
42019
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
42019
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
12020
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
12019
Adversarial Attacks on Deep Models for Financial Transaction Records
I Fursov, M Morozov, N Kaploukhaya, E Kovtun, R Rivera-Castro, ...
arXiv preprint arXiv:2106.08361, 2021
2021
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
V Zhuzhel, R Rivera-Castro, N Kaploukhaya, L Mironova, A Zaytsev, ...
arXiv preprint arXiv:2104.01440, 2021
2021
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
2020
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
2020
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
E-energy: Trend Report 2009
R Rivera, J Cornelius
E-energy, 2009
2009
Topologically-based Variational Autoencoder for Time Series Classification
R Rivera-Castro, S Moustafa, P Pilyugina, E Burnaev
The system can't perform the operation now. Try again later.
Articles 1–16