Vlad Vasilescu

According to our database, Vlad Vasilescu authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Are Almost Non-Negative Neural Networks Universal Approximators?

Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Sentinel 2 super-resolved data cubes - 92 scenes over 2 regions in Switzerland spanning 5 years.

Daniela Faur, Andreea Griparis, Alexandru-Cosmin Grivei, Corina Vaduva, Vlad Vasilescu, Mihai Datcu

Dataset, August, 2023

A CNN-Based Sentinel-2 Image Super-Resolution Method Using Multiobjective Training.

Vlad Vasilescu, Mihai Datcu, Daniela Faur

IEEE Trans. Geosci. Remote. Sens., 2023

Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model.

Vlad Vasilescu, Mihai Datcu, Daniela Faur

IEEE Geosci. Remote. Sens. Lett., 2023

A Latent Analysis of A Super-Resolved Sentinel-2 Data Cube For Green Urban Infrastructure Health Monitoring.

Corina Vaduva, Daniela Faur, Alexandru-Cosmin Grivei, Vlad Vasilescu, Mihai Datcu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans.

Vlad Vasilescu, Ana Neacsu, Emilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021