Heterogeneous transfer learning for highly non-linear regression tasks with application to the hydrotreatment of tire pyrolysis feedstocks

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Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-01-01
DOI
https://doi.org/10.13140/rg.2.2.21711.14243
Primary Topic
Machine Learning and ELM
Type
article
Field-Weighted Citation Impact
0.00
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article

Heterogeneous transfer learning for highly non-linear regression tasks with application to the hydrotreatment of tire pyrolysis feedstocks

Julian Per Becker, Julien Jacques, Yousef Abed, V. Da Costa et al.
SPIRE - Sciences Po Institutional REpository
Machine Learning and ELM
article

Heterogeneous transfer learning for highly non-linear regression tasks with application to the hydrotreatment of tire pyrolysis feedstocks

Julian Per Becker, Julien Jacques, Yousef Abed, V. Da Costa, Benoît Celse, Denis Guillaume
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Université Lumière Lyon 2 (FR), IFP Énergies nouvelles (FR), Entrepôts, Représentation et Ingénierie des Connaissances (FR)
Openalex Percentile: Top 83%
Machine Learning and ELM
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