A New Framework for Classifying University-Industry Collaboration Using Synthetic Minority Oversampling Technique and Stacking Ensemble

A New Framework for Classifying University-Industry Collaboration Using Synthetic Minority Oversampling Technique and Stacking Ensemble

University-industry collaboration has emerged as a critical driver of innovation and economic growth. However, predicting the outcomes of these collaborations remains methodologically challenging. Conventional statistical methods fail to capture non-linear relationships in collaboration data. While...

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Bibliographic Details
Main Authors: Uzapi Hange, Ezenwa Chike Nwanesi, Monhesea Obrey Patrick Bah
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
class imbalance
machine learning
stacking ensemble learning
university-industry collaboration
Online Access:https://ieeexplore.ieee.org/document/11028081/
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