3 citations · 4 across the 3 of their papers we have counts for
6 papers
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection
Rosanna Turrisi, Alessandro Verri, Annalisa Barla
Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical p…
Beyond original Research Articles Categorization via NLP
Rosanna Turrisi
This work proposes a novel approach to text categorization -- for unknown categories -- in the context of scientific literature, using Natural Language Processing techniques. The s…
Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport
Rosanna Turrisi, Leonardo Badino
This work addresses the mismatch problem between the distribution of training data (source) and testing data (target), in the challenging context of dysarthric speech recognition.…
EasyCall corpus: a dysarthric speech dataset
Rosanna Turrisi, Arianna Braccia, Marco Emanuele +5
This paper introduces a new dysarthric speech command dataset in Italian, called EasyCall corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric s…
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Rosanna Turrisi, Leonardo Badino
In many real-world applications, the mismatch between distributions of training data (source) and test data (target) significantly degrades the performance of machine learning algo…
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport
Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy +1
The problem of domain adaptation on an unlabeled target dataset using knowledge from multiple labelled source datasets is becoming increasingly important. A key challenge is to des…