17 citations
- University of GenoaIT4 papers
- Clemson UniversityUS1 paper
- Consorzio Nazionale Interuniversitario per le TelecomunicazioniIT1 paper
- Institute of Informatics and TelematicsIT1 paper
- Mercatorum UniversityIT1 paper
- Technical University of MunichDE1 paper
- University of PisaIT1 paper
- Washington State UniversityUS1 paper
9 papers
Leveraging systems' non-linearity to tackle the scarcity of data in the design of Intelligent Fault Diagnosis Systems
Giancarlo Santamato, Andrea Mattia Garavagno, Massimiliano Solazzi +1
Deep Transfer Learning (DTL) allows for the efficient building of Intelligent Fault Diagnosis Systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of…
Nonlinearity Compensation for Coherent Optical Satellite Communications
Stella Civelli, Luca Potì, Enrico Forestieri +1
Optical satellite uplinks rely on high-power optical amplifiers (HPOAs) to overcome free-space attenuation and enable long-distance transmission. However, at high power levels, fib…
Searching Neural Architectures for Sensor Nodes on IoT Gateways
Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1
This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabling Machine Learning (ML) access even in privacy-sensitive Internet of Things (IoT…
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli
The current trend of applying transfer learning from convolutional neural networks (CNNs) trained on large datasets can be an overkill when the target application is a custom and d…
An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms
Andrea Mattia Garavagno, Edoardo Ragusa, Antonio Frisoli +1
Hardware-aware neural architecture search (HW-NAS) allows the integration of Convolutional Neural Networks (CNNs) in microcontrollers devices by automatically designing neural arch…
On-Device Neural Architecture Search
Andrea Mattia Garavagno, Edoardo Ragusa, Paolo Gastaldo +2
This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deployment device to find the best…