◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Pletnev

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • cs.LG1
same name
  • A. Pletnev — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn industry case of large-scale demand forecasting of hierarchical components

4 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 3 cited

Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting

Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina +4

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. In thi…

stat.AP2020

Graph Neural Networks for Model Recommendation using Time Series Data

Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev

Time series prediction aims to predict future values to help stakeholders make proper strategic decisions. This problem is relevant in all industries and areas, ranging from financ…

stat.AP2020★ 4 cited

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.