Deep Learning to Scale up Time Series Traffic Prediction. - Julien Monteil; Anton Dekusar; Claudio Gambella; Yassine Lassoued; Martin Mevissen (CoRR, 2019)

A city-scale IoT-enabled ridesharing platform. - Claudio Gambella; Julien Monteil; Anton Dekusar; Sergio Cabrero Barros; Andrea Simonetto; Yassine Lassoued (CoRR, 2019)

On Model Selection for Scalable Time Series Forecasting in Transport Networks. - Julien Monteil; Anton Dekusar; Claudio Gambella; Yassine Lassoued; Martin Mevissen (IEEE Trans. Intell. Transp. Syst., 2022)

A Machine Learning Approach to Boost the Vehicle-2-Grid Scheduling. - Gabriele Agliardi; Giorgio Cortiana; Anton Dekusar; Kumar Jang Bahadur Ghosh; Naeimeh Mohseni; Corey O'Meara; Víctor Valls; Kavitha Yogaraj; Sergiy Zhuk (iSPEC, 2024)

Mitigating exponential concentration in covariant quantum kernels for subspace and real-world data. - Gabriele Agliardi; Giorgio Cortiana; Anton Dekusar; Kumar Jang Bahadur Ghosh; Naeimeh Mohseni; Corey O'Meara; Víctor Valls; Kavitha Yogaraj; Sergiy Zhuk (CoRR, 2024)

Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators. - Mustafa Emre Sahin; Edoardo Altamura; Oscar Wallis; Stephen P. Wood; Anton Dekusar; Declan Millar; Takashi Imamichi; Atsushi Matsuo; Stefano Mensa (CoRR, 2025)