2 papers
cs.LG2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Matteo Bianchi, Antonio De Santis, Andrea Tocchetti +1
Transparency and explainability in image classification are essential for establishing trust in machine learning models and detecting biases and errors. State-of-the-art explainabi…
cs.HC2023
My Lockdown Escape: Sparking Self-Empathy in the Context of the Covid-19 Pandemic
Andrea Tocchetti, Silvia Maria Talenti, Marco Brambilla
During the Covid-19 pandemic, research communities focused on collecting and understanding people's behaviours and feelings to study and tackle the pandemic indirect effects. Despi…