SeqNAS: Neural Architecture Search for Event Sequence Classification-Reference-Cited by-同舟云学术

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SeqNAS: Neural Architecture Search for Event Sequence Classification

Published:2024 Issue: Volume:12 Page:3898-3909
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Udovichenko Igor¹^ORCID,Shvetsov Egor¹^ORCID,Divitsky Denis²^ORCID,Osin Dmitry¹,Trofimov Ilya¹^ORCID,Sukharev Ivan³,Glushenko Anatoliy⁴,Berestnev Dmitry³,Burnaev Evgeny¹^ORCID

Affiliation:

1. Skolkovo Institute of Science and Technology, Moscow, Russia

2. Tinkoff, Moscow, Russia

3. Zvuk, Moscow, Russia

4. VTB, Moscow, Russia

Funder

Analytical center under the RF Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10379671.pdf?arnumber=10379671

Reference49 articles.

1. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

2. BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences

3. Modeling events and interactions through temporal processes—A survey;Liguori;arXiv:2303.06067,2023

4. DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

5. Explainable failure predictions with RNN classifiers based on time series data;Giurgiu;arXiv:1901.08554,2019

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