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Deep end-to-end learning for price prediction of second-hand items
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Year:
2020
Type:
article
Source:
Knowledge and Information Systems
DOI:
10.1007/s10115-020-01495-8
Authors:
Ahmed Fathalla,
Ahmad Salah,
Kenli Li,
Keqin Li,
Piccialli Francesco
Institutions:
Suez Canal University,
Hunan University,
National Supercomputing Changsha Center,
Zagazig University,
State University of New York,
University of Naples Federico II
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Language:
English
Topic:
Forecasting Techniques and Applications
Subfield:
Management Science and Operations Research
Field:
Decision Sciences
Domain:
Social Sciences
Open Access status:
closed
Funder:
National Natural Science Foundation of China
Awards:
G1328409166,
G1341368396,
G5157801058,
G8889518879
OpenAlex ID:
W3044744503
FWCI:
5.566
Cites:
57
Cited by:
55
Related to:
10