Giovanni Volpe

According to our database, Giovanni Volpe authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

Geometric deep learning reveals the spatiotemporal features of microscopic motion.

Jesús Pineda, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé, Daniel Midtvedt, Giovanni Volpe, Carlo Manzo

Nat. Mac. Intell., January, 2023

Deep-learning-powered data analysis in plankton ecology.

Harshith Bachimanchi, Matthew I. M. Pinder, Chloé Robert, Pierre De Wit, Jonathan Havenhand, Alexandra Kinnby, Daniel Midtvedt, Erik Selander, Giovanni Volpe

CoRR, 2023

2022

Neural network training with highly incomplete medical datasets.

Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe

Mach. Learn. Sci. Technol., 2022

Correction to: A gaze-based interactive system to explore artwork imagery.

Piercarlo Dondi, Marco Porta, Angelo Donvito, Giovanni Volpe

J. Multimodal User Interfaces, 2022

A gaze-based interactive system to explore artwork imagery.

Piercarlo Dondi, Marco Porta, Angelo Donvito, Giovanni Volpe

J. Multimodal User Interfaces, 2022

Corneal endothelium assessment in specular microscopy images with Fuchs' dystrophy via deep regression of signed distance maps.

Juan S. Sierra, Jesús Pineda, Daniela Rueda, Alejandro Tello, Angelica M. Prada, Virgilio Galvis, Giovanni Volpe, María Sagrario Millán, Lenny A. Romero, Andrés G. Marrugo

CoRR, 2022

Single-shot self-supervised particle tracking.

Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe

CoRR, 2022

Microplankton life histories revealed by holographic microscopy and deep learning.

Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe

CoRR, 2022

2021

Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT.

Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll

NeuroImage, 2021

Age-related differences in network structure and dynamic synchrony of cognitive control.

Thomas Hinault, Mite Mijalkov, Joana B. Pereira, Giovanni Volpe, A. Bakke, Susan M. Courtney

NeuroImage, 2021

Improving epidemic testing and containment strategies using machine learning.

Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe

Mach. Learn. Sci. Technol., 2021

Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT.

Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog, Michael Schöll

Frontiers Comput. Neurosci., 2021

Neural Network Training with Highly Incomplete Datasets.

Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe

CoRR, 2021

2020

Machine learning for active matter.

Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe

Nat. Mach. Intell., 2020

Machine learning reveals complex behaviours in optically trapped particles.

Isaac C. D. Lenton, Giovanni Volpe, Alexander B. Stilgoe, Timo A. Nieminen, Halina Rubinsztein-Dunlop

Mach. Learn. Sci. Technol., 2020