Intelligent Data Engineering and Automated Learning – IDEAL 2021
Springer International Publishing
Chapter title |
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
|
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Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2021
|
Published in |
Lecture notes in computer science, January 2022
|
DOI | 10.1007/978-3-030-91608-4_1 |
Book ISBNs |
978-3-03-091607-7, 978-3-03-091608-4
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Authors |
Matos, Luís Miguel, Domingues, André, Moreira, Guilherme, Cortez, Paulo, Pilastri, André, Pilastri, André Luiz |
Country | Count | As % |
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Portugal | 1 | 100% |
Type | Count | As % |
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Members of the public | 1 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 30% |
Student > Master | 2 | 20% |
Student > Ph. D. Student | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Student > Postgraduate | 1 | 10% |
Other | 0 | 0% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 30% |
Engineering | 3 | 30% |
Economics, Econometrics and Finance | 1 | 10% |
Business, Management and Accounting | 1 | 10% |
Unknown | 2 | 20% |