Davide Ferraro

According to our database, Davide Ferraro authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Magnetic Stirring Device for Limiting the Sedimentation of Cells inside Microfluidic Devices.

Sebastian Cremaschini, Noemi Torriero, Chiara Maceri, Maria Poles, Sarah Cleve, Beatrice Crestani, Alessio Meggiolaro, Matteo Pierno, Giampaolo Mistura, Paola Brun, Davide Ferraro

Sensors, August, 2024

2023

Uneven Terrain Recognition Using Neuromorphic Haptic Feedback.

Sahana Prasanna, Jessica D'Abbraccio, Mariangela Filosa, Davide Ferraro, Ilaria Cesini, Giacomo Spigler, Andrea Aliperta, Filippo Dell'Agnello, Angelo Davalli, Emanuele Gruppioni, Simona Crea, Nicola Vitiello, Alberto Mazzoni, Calogero Maria Oddo

Sensors, 2023

Shaking Device for Homogeneous Dispersion of Magnetic Beads in Droplet Microfluidics.

Maria Poles, Alessio Meggiolaro, Sebastian Cremaschini, Filippo Marinello, Daniele Filippi, Matteo Pierno, Giampaolo Mistura, Davide Ferraro

Sensors, 2023

2022

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.

Mariangela Filosa, Luca Massari, Davide Ferraro, Giacomo D'Alesio, Jessica D'Abbraccio, Andrea Aliperta, Daniela Lo Presti, Joshua Di Tocco, Martina Zaltieri, Carlo Massaroni, Maria Chiara Carrozza, Maurizio Ferrarin, Marco Di Rienzo, Emiliano Schena, Calogero Maria Oddo

Artif. Intell. Medicine, 2022

2020

Opto-Microfluidic System for Absorbance Measurements in Lithium Niobate Device Applied to pH Measurements.

Riccardo Zamboni, Annamaria Zaltron, Elena Izzo, Gregorio Bottaro, Davide Ferraro, Cinzia Sada

Sensors, 2020

Topological Insights in Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

CoRR, 2020

Topological Insights into Sparse Neural Networks.

Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020