Tommaso Bendinelli

According to our database, Tommaso Bendinelli authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

Gemtelligence: Accelerating Gemstone classification with Deep Learning.

Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler, Abhigyan Ghosh, Peter Tollan, Moritz Alexander Kirschmann, Olga Fink

CoRR, 2023

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices.

Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Controllable Neural Symbolic Regression.

Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny

Proceedings of the International Conference on Machine Learning, 2023

2022

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction.

Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink

CoRR, 2022

2021

Neural Symbolic Regression that scales.

Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurélien Lucchi, Giambattista Parascandolo

Proceedings of the 38th International Conference on Machine Learning, 2021