no code implementations • 6 May 2024 • Lunchen Xie, Eugenio Lomurno, Matteo Gambella, Danilo Ardagna, Manuel Roveri, Matteo Matteucci, Qingjiang Shi
Accurate classification of medical images is essential for modern diagnostics.
no code implementations • 4 May 2024 • Eugenio Lomurno, Matteo D'Oria, Matteo Matteucci
Recent advances in generative artificial intelligence have enabled the creation of high-quality synthetic data that closely mimics real-world data.
no code implementations • 23 Feb 2024 • Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vazquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci
The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum.
no code implementations • 29 Sep 2023 • Eugenio Lomurno, Simone Toffoli, Davide Di Febbo, Matteo Matteucci, Francesca Lunardini, Simona Ferrante
Content-free handwriting data from 80 healthy participants in different age groups (20-40, 41-60, 61-70 and 70+) were analysed.
no code implementations • 3 Jul 2023 • Simone Sarti, Eugenio Lomurno, Matteo Matteucci
Deep learning is increasingly impacting various aspects of contemporary society.
no code implementations • 5 Jun 2023 • Eugenio Lomurno, Alberto Archetti, Francesca Ausonio, Matteo Matteucci
The remarkable proliferation of deep learning across various industries has underscored the importance of data privacy and security in AI pipelines.
no code implementations • 17 May 2023 • Andrea Lampis, Eugenio Lomurno, Matteo Matteucci
These results represent a new state of the art in Classification Accuracy Score and highlight the effectiveness of post-processing techniques in improving the quality of synthetic datasets.
no code implementations • 10 Apr 2023 • Riccardo Ughi, Eugenio Lomurno, Matteo Matteucci
The Transformer is a highly successful deep learning model that has revolutionised the world of artificial neural networks, first in natural language processing and later in computer vision.
no code implementations • 3 Feb 2023 • Simone Sarti, Eugenio Lomurno, Andrea Falanti, Matteo Matteucci
The use of Neural Architecture Search (NAS) techniques to automate the design of neural networks has become increasingly popular in recent years.
no code implementations • 28 Jan 2023 • Simone Sarti, Eugenio Lomurno, Matteo Matteucci
Today, artificial neural networks are the state of the art for solving a variety of complex tasks, especially in image classification.
2 code implementations • 28 Jan 2023 • Alberto Archetti, Eugenio Lomurno, Francesco Lattari, André Martin, Matteo Matteucci
However, the data needed to train survival models are often distributed, incomplete, censored, and confidential.
no code implementations • 13 Dec 2022 • Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci
The automated machine learning (AutoML) field has become increasingly relevant in recent years.
no code implementations • 6 Oct 2022 • Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci
With its sequential model-based optimization strategy, Progressive Neural Architecture Search (PNAS) represents a possible step forward to face this resources issue.
no code implementations • 7 Sep 2022 • Eugenio Lomurno, Matteo Matteucci
According to the literature, this approach has proven to be a successful defence against several models' privacy attacks, but its downside is a substantial degradation of the models' performance.
no code implementations • 24 Sep 2021 • Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci
In this context, federated learning is one of the most influential frameworks for privacy-preserving distributed machine learning, achieving astounding results in many natural language processing and computer vision tasks.
no code implementations • 28 Jul 2021 • Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci
Today, Multi-View Stereo techniques are able to reconstruct robust and detailed 3D models, especially when starting from high-resolution images.