A novel machine learning approach for evaluation of public policies : an application in relation to the performance of university researchers
Year of publication: |
2019
|
---|---|
Authors: | Ballestar, María Teresa ; Doncel, Luis Miguel ; Sainz, Jorge ; Ortigosa-Blanch, Arturo |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 149.2019, p. 1-9
|
Subject: | Incentive-based policies | Longitudinal clustering | Machine learning | Research evaluation | Künstliche Intelligenz | Artificial intelligence | Technologiepolitik | Technology policy | Bewertung | Evaluation | Universitäre Forschung | University research |
-
Șerban, Daniela, (2024)
-
Menter, Matthias, (2024)
-
Gerber, Sabine, (2000)
- More ...
-
Ballestar, María Teresa, (2020)
-
Impact of robotics on manufacturing : a longitudinal machine learning perspective
Ballestar, María Teresa, (2021)
-
Customer segmentation in e-commerce : applications to the cashback business model
Ballestar, María Teresa, (2018)
- More ...