Pietro Ducange

Associate Professor

University of Pisa

Italy

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Professor Pietro Ducange is an Associate Professor at the Università di Pisa in Italy. His research areas encompass explainable artificial intelligence, machine learning algorithms, and data-driven solutions for communication networks and industrial applications. Recent publications include studies on UAV-assisted communication, clustering algorithms for partitioned data, and systems for analyzing social media sentiments related to public health topics. His work also addresses innovative frameworks for energy access and smart systems in various fields.

Articles (14)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (23)

NICOLA TONELLOTTO

University of Glasgow

UNITED KINGDOM

Pietro Ducange

Research Interests

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Articles (14)

Leveraging Explainable AI for 3-D Geometry-Based Channel Status Prediction in UAV-Assisted Communication Networks

Federated &lt;italic&gt;c&lt;/italic&gt;-means and Fuzzy &lt;italic&gt;c&lt;/italic&gt;-means Clustering Algorithms for Horizontally and Vertically Partitioned Data

On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data

Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models

An Intelligent system for the categorization of question time official documents of the Italian Chamber of Deputies

Data Platform Guidelines and Prototype for Microgrids and Energy Access: Matching Demand Profiles and Socio-Economic Data to Foster Project Development

A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking

A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning at the Edge

Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy

Bridges and Mediation in Higher Distance Education: HELMeTO 2020 Report

Explainable Internet Traffic Classification

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application

Twitter as a sentinel tool to monitor public opinion on vaccination: an opinion mining analysis from September 2016 to August 2017 in Italy

Collaborators (23)

NICOLA TONELLOTTO

Francesco Marcelloni

Alessio Bechini

Antonio Virdis

Pierpaolo Limone

Pier Luigi Lopalco

Carlo Vallati

Pietro Cassarà

María Dolores Pérez Godoy

Giovanni Stea

Riccardo Pecori

Francesco Di Rienzo

Federico Russo

Davide Fioriti

paolo raviolo

PIETRO PICERNO

Michela Fazzolari

Emanuela Colombo

Alessandro Bondielli

Antonio Jesús Rivera Rivas

Giovanni Nardini

Alessandro Renda

Davide Poli

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Federated <italic>c</italic>-means and Fuzzy <italic>c</italic>-means Clustering Algorithms for Horizontally and Vertically Partitioned Data