BIANCHI, MATTEO

BIANCHI, MATTEO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A Framework for Evaluating Zero-Shot Image Generation in Concept-Based Explainability 1-gen-2026 Matteo BianchiRiccardo CampiAntonio De SantisMarco Brambilla +
Activation-Based Concept Extraction for Explainability in Image Classification 1-gen-2026 Matteo BianchiRiccardo CampiAntonio De SantisMarco Brambilla +
Foundational approaches to post-hoc explainability for image classification 1-gen-2025 De Santis, AntonioCampi, RiccardoBianchi, MatteoTocchetti, AndreaBrambilla, Marco
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification 1-gen-2024 Bianchi, MatteoDe Santis, AntonioTocchetti, AndreaBrambilla, Marco
On the principles and effectiveness of gamification in bidirectional artificial intelligence and explainable AI 1-gen-2025 Tocchetti, AndreaBianchi, MatteoCampi, RiccardoDe Santis, AntonioBrambilla, Marco
Towards Synthetic Concept Activation Vectors via Generative Models 1-gen-2025 Riccardo CampiAntonio De SantisMatteo BianchiAndrea TocchettiMarco Brambilla +
Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure 1-gen-2024 Di Perna, LeonardoBianchi, MatteoMatteucci, MatteoBrambilla, Marco
Visual-TCAV: Concept-based attribution and saliency maps for post-hoc explainability in image classification 1-gen-2026 Antonio De SantisRiccardo CampiMatteo BianchiMarco Brambilla