9 citations · 13 across the 3 of their papers we have counts for
4 papers
An industry case of large-scale demand forecasting of hierarchical components
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang +3
Demand forecasting of hierarchical components is essential in manufacturing. However, its discussion in the machine-learning literature has been limited, and judgemental forecasts…
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks
Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
Recommender systems have become an essential instrument in a wide range of industries to personalize the user experience. A significant issue that has captured both researchers' an…
Topological Data Analysis of Time Series Data for B2B Customer Relationship Management
Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev +3
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure. Its use for time series data has been limited to the…
Demand forecasting techniques for build-to-order lean manufacturing supply chains
Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang +3
Build-to-order (BTO) supply chains have become common-place in industries such as electronics, automotive and fashion. They enable building products based on individual requirement…