On Optimal Transmission Policies for Energy Harvesting Devices: the case of two users. - Davide Del Testa; Nicolò Michelusi; Michele Zorzi (ISWCS, 2013)

Optimal policies for two-user energy harvesting device networks with imperfect state-of-charge knowledge. - Davide Del Testa; Michele Zorzi (ITA, 2014)

Low-complexity policies for Wireless Sensor Networks with two energy harvesting devices. - Alessandro Biason; Davide Del Testa; Michele Zorzi (Med-Hoc-Net, 2014)

Applying Machine Learning Techniques to a Real Cognitive Network: File Transfer ETAs Prediction. - Davide Del Testa; Matteo Danieletto; Michele Zorzi (GLOBECOM, 2015)

Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders. - Davide Del Testa; Michele Rossi (IEEE Signal Process. Lett., 2015)

Estimating the Number of Receiving Nodes in 802.11 Networks via Machine Learning Techniques. - Davide Del Testa; Matteo Danieletto; Giorgio Maria Di Nunzio; Michele Zorzi (GLOBECOM, 2016)

End to End Learning for Self-Driving Cars. - Mariusz Bojarski; Davide Del Testa; Daniel Dworakowski; Bernhard Firner; Beat Flepp; Prasoon Goyal; Lawrence D. Jackel; Mathew Monfort; Urs Muller; Jiakai Zhang; Xin Zhang; Jake Zhao; et al. (CoRR, 2016)

Optimal Transmission Policies for Two-User Energy Harvesting Device Networks With Limited State-of-Charge Knowledge. - Davide Del Testa; Nicolò Michelusi; Michele Zorzi (IEEE Trans. Wirel. Commun., 2016)

Learning methods for long-term channel gain prediction in wireless networks. - Federico Chiariotti; Davide Del Testa; Michele Polese; Andrea Zanella; Giorgio Maria Di Nunzio; Michele Zorzi (ICNC, 2017)

Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. - Mohsen Hooshmand; Davide Zordan; Davide Del Testa; Enrico Grisan; Michele Rossi (IEEE Internet Things J., 2017)

A Machine Learning-Based ETA Estimator for Wi-Fi Transmissions. - Davide Del Testa; Matteo Danieletto; Michele Zorzi (IEEE Trans. Wirel. Commun., 2017)