Matteo Bianchi

PhD student, Dipartimento di Elettronica, Informazione e Bioingegneria, Polytechnic Institute of Milan

Joined

May 2024

Names

Matteo Bianchi (Preferred)

Emails

****@polimi.it (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

PhD student

Dipartimento di Elettronica, Informazione e Bioingegneria, Polytechnic Institute of Milan (polimi.it)

2024 – Present

Researcher

Dipartimento di Elettronica, Informazione e Bioingegneria, Polytechnic Institute of Milan (polimi.it)

2023 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Marco Brambilla

2024 – Present

Coworker

Antonio De Santis

2023 – Present

Coworker

Riccardo Campi

2023 – Present

Coworker

Andrea Tocchetti

2023 – Present

Expertise

Explainable Artificial Intelligence

Explainability

Deep Neural Networks

2024 – Present

Social Network Analysis

Computational Social Science

GNNs

Graph Mining

2023 – 2024

Publications

Towards Synthetic Concept Activation Vectors via Generative Models
Riccardo Campi, Santiago Borrego, Antonio De Santis, Matteo Bianchi, Andrea Tocchetti, Marco Brambilla
- CVPR Workshops 2025
- Readers: Everyone
Visual-TCAV: Explainability of Image Classification through Concept-based Saliency Maps
Antonio De Santis, Riccardo Campi, Matteo Bianchi, Marco Brambilla
- Submitted to NeurIPS 2024
- Readers: Everyone
Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure
Leonardo Di Perna, Matteo Bianchi, Matteo Matteucci, Marco Brambilla
- IEEE Big Data 2024
- Readers: Everyone
Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
Antonio De Santis, Riccardo Campi, Matteo Bianchi, Marco Brambilla
- CoRR 2024
- Readers: Everyone
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, Marco Brambilla
- IJCAI 2024
- Readers: Everyone

Matteo Bianchi

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Towards Synthetic Concept Activation Vectors via Generative Models

Visual-TCAV: Explainability of Image Classification through Concept-based Saliency Maps

Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification

Co-Authors