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Consultabile FORZANINI FEDERICA, DATA RESAMPLING STRATEGIES FOR ROBUST AND REPRODUCIBLE MACHINE LEARNING MODELS IN BIOMEDICAL DOMAIN: AN APPLICATION ON MEDICAL IMAGING DATA OF AMYOTROPHIC LATERAL SCLEROSIS (ALS) PATIENTS, Rel. AGOSTINELLI CLAUDIO, AA 2021/2022
Author: FORZANINI FEDERICA
Title: DATA RESAMPLING STRATEGIES FOR ROBUST AND REPRODUCIBLE MACHINE LEARNING MODELS IN BIOMEDICAL DOMAIN: AN APPLICATION ON MEDICAL IMAGING DATA OF AMYOTROPHIC LATERAL SCLEROSIS (ALS) PATIENTS
Relatore: AGOSTINELLI CLAUDIO
Correlatore: BARLA ANNALISA
Academic year: 2021/2022
Course: Corso di Laurea Magistrale - MATEMATICA [0519H]
Struttura didattica: Dipartimento di Matematica
Formato: digitale
Shelfmark: 0519H-596
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