145 citations
- University of SalentoIT16 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- A. Alikhanyan National LaboratoryAM3 papers
- Italian Institute of TechnologyIT3 papers
- Chalmers University of TechnologySE2 papers
- CMCC Foundation - Euro-Mediterranean Center on Climate ChangeIT2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di LecceIT2 papers
- Polytechnic University of BariIT2 papers
- Sapienza University of RomeIT2 papers
- Sorbonne UniversitéFR2 papers
- Yerevan State UniversityAM2 papers
- Cadi Ayyad UniversityMA1 paper
27 papers
An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
Luigi Lomasto, Rosario Di Florio, Andrea Ciapetti +3
This work describes an automatic text classification method implemented in a software tool called NETHIC, which takes advantage of the inner capabilities of highly-scalable neural…
LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
Fadi Abdeladhim Zidi, Djamel Eddine Boukhari, Abdellah Zakaria Sellam +4
Hyperspectral image classification remains a challenging task due to the high dimensionality of spectral data, significant inter-band redundancy, and the limited availability of an…
Improving Oil Slick Trajectory Simulations with Bayesian Optimization
Gabriele Accarino, Marco M. De Carlo, Igor Atake +8
Accurate simulations of oil spill trajectories are essential for supporting practitioners' response and mitigating environmental and socioeconomic impacts. Numerical models, such a…
An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data
Gabriele Accarino, Davide Donno, Francesco Immorlano +2
Tropical Cyclones (TCs) are counted among the most destructive phenomena that can be found in nature. Every year, globally an average of 90 TCs occur over tropical waters, and glob…
Cramér-Rao Bound Analysis of Radars for Extended Vehicular Targets with Known and Unknown Shape
Nil Garcia, Alessio Fascista, Angelo Coluccia +4
Due to their shorter operating range and large bandwidth, automotive radars can resolve many reflections from their targets of interest, mainly vehicles. This calls for the use of…
On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks
Jianqi Yan, Alex P. Leung, David C. Y. Hui
Spectrogram classification plays an important role in analyzing gravitational wave data. In this paper, we propose a framework to improve the classification performance by using Ge…