16 citations · 29 across the 7 of their papers we have counts for
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eess.IV2023★ 2 cited
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
Eleonora Lopez, Filippo Betello, Federico Carmignani +2
Breast cancer is the most widespread neoplasm among women and early detection of this disease is critical. Deep learning techniques have become of great interest to improve diagnos…
cs.IR2023★ 11 cited
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations
Filippo Betello, Federico Siciliano, Pushkar Mishra +1
Sequential Recommender Systems (SRSs) are widely employed to model user behavior over time. However, their robustness in the face of perturbations in training data remains a largel…