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Stress modelling and prediction in presence of scarce data
Institution:1. DISI, University of Trento, Via Sommarive 9, Povo, Trento, Italy;2. CREATE-NET, Via alla Cascata 56/D, Povo, Trento, Italy;3. Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Sta. María Tonantzintla, Puebla, Mexico;4. Centrum Wiskunde & Informatica, Science Park 123, Amsterdam, The Netherlands
Abstract:
Keywords:Stress modelling  Transfer learning  Semi-supervised learning  Ensemble methods
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