EURO 2024 Copenhagen
Abstract Submission

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Session MB-48: DEA and Machine Learning in stream Data Envelopment Analysis and its Application

Monday, 10:30-12:00
Room: 60 (building: 324)

Session chair(s):
María D. Guillén (maria.guilleng@umh.es)

The following abstracts have been submitted in this session:
3147. Exploratory benchmarking with DEA and multidimensional scaling – process, reference model and application Steffen Hoffmann [R] - Germany
accepted
2723. Simulating Data Envelopment Analysis with Machine Learning: A Clustering-Based Data Preprocessing Technique for Training Set Selection Barbara Kaminska [R] - Poland
accepted
Dimitrios-Georgios Sotiros [R] - Poland
613. Improving the estimation of production functions through machine learning: a gradient boosting approach María D. Guillén [R] - Spain
accepted
Juan Aparicio [] - Spain