Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method. - Alessandro Corbetta; Adrian Muntean; Federico Toschi; Kiamars Vafayi (CoRR, 2014)

Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields. - Alessandro Corbetta; Vlado Menkovski; Federico Toschi (AVSS, 2017)

Depth driven people counting using deep region proposal network. - Diping Song; Yu Qiao 001; Alessandro Corbetta (ICIA, 2017)

TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics. - Roberto Benzi; Luca Biferale; Fabio Bonaccorso; H. J. H. Clercx; Alessandro Corbetta; W. Mobius; Federico Toschi; Francesco Salvadore; C. Cacciari; G. Erbacci (HPCS, 2017)

Accurate pedestrian localization in overhead depth images via Height-Augmented HOG. - Werner Kroneman; Alessandro Corbetta; Federico Toschi (CoRR, 2018)

Stampnet: Unsupervised Multi-Class Object Discovery. - Joost Visser 002; Alessandro Corbetta; Vlado Menkovski; Federico Toschi (ICIP, 2019)

Deep learning velocity signals allows to quantify turbulence intensity. - Alessandro Corbetta; Vlado Menkovski; Roberto Benzi; Federico Toschi (CoRR, 2019)

Measurement and analysis of visitors' trajectories in crowded museums. - Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri (CoRR, 2019)

Pedestrian orientation dynamics from high-fidelity measurements. - Joris Willems; Alessandro Corbetta; Vlado Menkovski; Federico Toschi (CoRR, 2020)

Controlling Rayleigh-Bénard convection via Reinforcement Learning. - Gerben Beintema; Alessandro Corbetta; Luca Biferale; Federico Toschi (CoRR, 2020)

Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control. - Caspar A. S. Pouw; Joris Willems; Frank van Schadewijk; Jasmin Thurau; Federico Toschi; Alessandro Corbetta (CoRR, 2021)

Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization. - Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri (J. Comput. Sci., 2021)

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. - Toros Senan; Alessandro Corbetta; Bart Hengeveld (Audio Mostly Conference, 2022)

Towards a Numerical Proof of Turbulence Closure. - Giulio Ortali; Alessandro Corbetta; Gianluigi Rozza; Federico Toschi (CoRR, 2022)

How neural networks learn to classify chaotic time series. - Alessandro Corbetta; Thomas Geert de Jong (CoRR, 2023)

Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks. - Giulio Ortali; Alessandro Gabbana; Imre Atmodimedjo; Alessandro Corbetta (CoRR, 2024)

Understanding complex crowd dynamics with generative neural simulators. - Koen Minartz; Fleur Hendriks; Simon Martinus Koop; Alessandro Corbetta; Vlado Menkovski (CoRR, 2024)