Publications
Latest publications
A Federated Explainable AI Model for Breast Cancer Classification
Breast cancer diagnosis is a crucial domain where Explainable Artificial Intelligence (XAI) integration holds immense importance. Understanding AI model decisions not only enhances trust but also aids in…
Advancing elderly social care dropout prediction with federated learning: client selection and imbalanced data management
Accurate prediction of user dropout is crucial for enhancing the effectiveness of social care applications developed for the elderly. Given the sensitive nature of healthcare data, this study…
Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks
All publications
A Federated Explainable AI Model for Breast Cancer Classification
European Interdisciplinary Cybersecurity Conference · pp. 194-201 · 2024
Breast cancer diagnosis is a crucial domain where Explainable Artificial Intelligence (XAI) integration holds immense importance. Understanding AI model decisions not only enhances trust but also aids in treatment strategies. However, the need for…
Advancing elderly social care dropout prediction with federated learning: client selection and imbalanced data management
Cluster Computing · Vol. 28 · No. 2 · 2024
Accurate prediction of user dropout is crucial for enhancing the effectiveness of social care applications developed for the elderly. Given the sensitive nature of healthcare data, this study introduces a Federated Learning (FL) approach…
Privacy-Enhanced Television Audience Measurements
ACM Transactions on Internet Technology · Vol. 17 · No. 1 · pp. 1-29 · 2017
Internet-enabled television systems (SmartTVs) are a development that introduces these devices into the interconnected environment of the Internet of Things. We propose a privacy-preserving application for computing Television Audience Measurement (TAM) ratings. SmartTVs communicate…