Marco Cataldo

According to our database, Marco Cataldo authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

HALOS: Hierarchical Aggregation Learning for Overdensity Search.

Fabio Spampinato, Vincenzo del Zoppo, Giuseppe Puglisi, Alessio Mezzina, Marco Cataldo, Jean Marc Christille, Matteo Calabrese, Luca Naso, Carmelita Carbone

Astron. Comput., 2026

3D YOLO-like detector for cosmic voids: A multi-scale deep learning approach to large-scale underdense structures.

Giuseppe Puglisi, Vincenzo del Zoppo, Fabio Spampinato, Alessio Mezzina, Marco Cataldo, Giovanni Verza, Matteo Calabrese, Jean Marc Christille, Luca Naso, Carmelita Carbone

Astron. Comput., 2026

A dual AI framework for the automatic characterisation of low-interacting H-rich SNe within the ASTRAI (Advanced Supernova Transient Research with Artificial Intelligence) project.

Andrea Claudio Grasso, Vincenzo del Zoppo, Alessio Mezzina, Marco Cataldo, Giuseppe Puglisi, Fabio Spampinato, Stefano Pio Cosentino, Maria Letizia Pumo, Luca Naso

Astron. Comput., 2026

2025

Ecosystem services and risks in viticulture: Mapping the literature through bibliometric, network, and meta-analysis.

Amenallah Zouari, Leonardo Agnusdei, Pier Paolo Miglietta, Marco Cataldo, Giulio Paolo Agnusdei

Proceedings of the 7th International Conference on Industry of the Future and Smart Manufacturing (ISM 2025), 2025

2023

An Innovative Low-Power, Low-Cost, Multi-Constellation Geodetic-Grade Global Navigation Satellite System Reference Station for the Densification of Permanent Networks: The GREAT Project.

Davide Curone, Giovanni Savarese, Mirko Antonini, Raphaël Baucry, Elie Amani, Antonin Boulandet, Marco Cataldo, Paul Chambon, Massimiliano Chersich, Ahmed B. Hussein, Bruno Menuel, Avag Tsaturyan

Sensors, July, 2023

2022

Anomaly detection in smart agriculture systems.

Christian Catalano, Luigi Paiano, Francesca Calabrese, Marco Cataldo, Luisa Mancarella, Franco Tommasi

Comput. Ind., 2022

Ship Detection and Tracking Based on a Custom Aerial Dataset.

Luigi Paiano, Francesca Calabrese, Marco Cataldo, Luca Sebastiani, Nicola Leonardi

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022