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Scientific Reports|March 27, 2025
Discovering interaction mechanisms in crowds via deep generative surrogate experimentsKoen Minartz, Fleur Hendriks, Simon Martinus Koop, et al.Scientific Reports|July 17, 2020
Pedestrian orientation dynamics from high-fidelity measurementsJoris Willems, Alessandro Corbetta, Vlado Menkovski, et al.Science Advances|March 18, 2021
Deep learning velocity signals allow quantifying turbulence intensityAlessandro Corbetta, Vlado Menkovski, Roberto Benzi, et al.Scientific Data|November 27, 2025
Wallpaper Group-Based Mechanical Metamaterials: Dataset Including Mechanical ResponsesFleur Hendriks, Vlado Menkovski, Martin Doškář, et al.Materials Today. Bio|October 23, 2025
Acquisition, quality control, and architecture of a large image dataset as a tool for in silico cell biological researchNikita Konshin, Marta Garcia Valverde, Danila Solodennikov, et al.Entropy (Basel, Switzerland)|November 27, 2024
Description Generation Using Variational Auto-Encoders for Precursor microRNAMarko Petković, Vlado MenkovskiACS Applied Materials & Interfaces|October 2, 2024
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminum-Substituted ZeolitesMarko Petković, José Manuel Vicent-Luna, Vlado Menkovski, et al.Mathematical Biosciences and Engineering : MBE|March 27, 2015
Parameter estimation of social forces in pedestrian dynamics models via a probabilistic methodAlessandro Corbetta, Adrian Muntean, Kiamars VafayiChaos (Woodbury, N.Y.)|December 4, 2023
How neural networks learn to classify chaotic time seriesAlessandro Corbetta, Thomas Geert de JongPNAS Nexus|January 30, 2023
Fluctuations in pedestrian dynamics routing choicesAlessandro Gabbana, Federico Toschi, Philip Ross, et al.Pageof 2