Deep learning velocity signals allows to quantify turbulence intensity
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi (2019) "Deep learning velocity signals allows to quantify turbulence intensity"
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi (2019) "Deep learning velocity signals allows to quantify turbulence intensity"
Jorge Cordero, Vlado Menkovski, Jens Allmer (2019) "Detection of pre-microRNA with Convolutional Neural Networks"
F. Matos, V. Menkovski, F. Felici, A. Pau, F. Jenko (the TCV Team and the EUROfusion MST1 Team) (2019) "Classification of tokamak plasma confinement states w...
Rey, L.A., Menkovski, V., & Portegies, J.W. (2019). Diffusion Variational Autoencoders. ArXiv, abs/1901.08991.
Tonnaer, L., Li, J., Osin, V., Holenderski, M., & Menkovski, V. (2019, July). Anomaly detection for visual quality control of 3D-printed products. In 2019 In...
Niels Hellinga, Vlado Menkovski (2019) "Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning"
Visser, J., Corbetta, A., Menkovski, V., & Toschi, F. (2019). StampNet unsupervised multi-class object discovery. arXiv preprint arXiv:1902.02693.
Peer, Evertjan, et al. "Shunting trains with deep reinforcement learning." 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2...
van Knippenberg, M., Menkovski, V., & Consoli, S. (2018, September). Evolutionary Construction of Convolutional Neural Networks. In International Conference ...
Corbetta, Alessandro, Vlado Menkovski, and Federico Toschi. "Weakly supervised training of deep convolutional neural networks for overhead pedestrian localiz...
Thaler, Stefan, Vlado Menkonvski, and Milan Petkovic. "Towards a neural language model for signature extraction from forensic logs." Digital Forensic and Sec...
Kumar, Devinder, and Vlado Menkovski. "Understanding Anatomy Classification Through Visualization." arXiv preprint arXiv:1611.06284 (2016).