Gaetano Settembre

According to our database, Gaetano Settembre authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods.

Gaetano Settembre, Flavia Esposito, Nicoletta Del Buono

Adv. Model. Simul. Eng. Sci., December, 2025

A land cover change framework analyzing wildfire-affected areas in bitemporal PRISMA hyperspectral images.

Gaetano Settembre, Nicolò Taggio, Nicoletta Del Buono, Flavia Esposito, Paola Di Lauro, Antonello Aiello

Math. Comput. Simul., 2025

Superpixel-based plastic litter detection in UAV hyperspectral imaging using spectral-textural features.

Gaetano Settembre, Grazia Gargano, Nicoletta Del Buono

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

AI-Driven Insights into Microbial Biomarkers for Colorectal Cancer Progression.

Grazia Gargano, Gaetano Settembre, Nicoletta Del Buono

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

AI in Pediatric Urology: Deep Learning-Based Approach Supporting Posterior Urethral Valves Diagnosis on VCUG Imaging.

Ciro Russo, Gaetano Settembre, Grazia Gargano, Maria Stella de Biase, Roberta De Fazio

Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

2024

Deep NMF and Autoencoder: A Comparative Analysis for Hyperspectral Unmixing Using Prisma Real Images.

Gaetano Settembre, Nicoletta Del Buono, Flavia Esposito, Nicolò Taggio

Proceedings of the IGARSS 2024, 2024

2023

Low-Rank Hierarchical Clustering of PRISMA Hyperspectral Images to Identify Burned Areas.

Gaetano Settembre, Nicolò Taggio, Nicoletta Del Buono, Antonello Aiello, Flavia Esposito

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

2022

Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study.

Gaetano Settembre, Nicola Corriero, Nicoletta Del Buono, Flavia Esposito, Rosanna Rizzi

Proceedings of the Machine Learning, Optimization, and Data Science, 2022