Eleonora Maset

16 papers A* 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The FriûlBot dataset: Experimental validation of an autonomous ground robot for vineyard 3D mapping. Robotics Auton. Syst. Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto
2025	J	`jnl`	Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest. Robotics Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto
2024	J	`jnl`	Surface Reconstruction from SLAM-Based Point Clouds: Results from the Datasets of the 2023 SIFET Benchmark. Remote. Sens. Antonio Matellon, Eleonora Maset, Alberto Beinat, Domenico Visintini
2024	J	`jnl`	Three Years of Google Earth Engine-Based Archaeological Surveys in Iraqi Kurdistan: Results from the Ground. Remote. Sens. Riccardo Valente, Eleonora Maset, Marco Iamoni
2023	J	`jnl`	Comparing LiDAR and IMU-based SLAM approaches for 3D robotic mapping. Robotica Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset
2023	—	`conf`	On the Role of Geomatics and Official Regional Cartography in the Interconnected Nord-Est Innovation Ecosystem. ASITA Eleonora Maset, Domenico Visintini, Alberto Beinat
2023	J	`jnl`	Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics. Robotics Auton. Syst. Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto
2022	J	`jnl`	Performance Investigation and Repeatability Assessment of a Mobile Robotic System for 3D Mapping. Robotics Eleonora Maset, Lorenzo Scalera, Alberto Beinat, Domenico Visintini, Alessandro Gasparetto
2021	J	`jnl`	Assessing Repeatability and Reproducibility of Structure-from-Motion Photogrammetry for 3D Terrain Mapping of Riverbeds. Remote. Sens. Jessica De Marco, Eleonora Maset, Sara Cucchiaro, Alberto Beinat, Federico Cazorzi
2021	—	`conf`	Automatic Co-registration of Copernicus Time Series via Synchronization. ASITA Luigi Barazzetti, Andrea Fusiello, Marco Gianinetto, Eleonora Maset, Francesco Niccolò Polinelli, Marco Scaioni
2020	J	`jnl`	Procrustes analysis for the virtual trial assembly of large-size elements. Robotics Comput. Integr. Manuf. Eleonora Maset, Lorenzo Scalera, Daniele Zonta, Mario Ivan Alba, Fabio Crosilla, Andrea Fusiello
2019	J	`jnl`	Full-Waveform Airborne LiDAR Data Classification Using Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Stefano Zorzi, Eleonora Maset, Andrea Fusiello, Fabio Crosilla
2017	J	`jnl`	Errors-in-Variables Anisotropic Extended Orthogonal Procrustes Analysis. IEEE Geosci. Remote. Sens. Lett. Eleonora Maset, Fabio Crosilla, Andrea Fusiello
2017	A*	`conf`	Practical and Efficient Multi-view Matching. ICCV Eleonora Maset, Federica Arrigoni, Andrea Fusiello
2017	—	`conf`	Synchronization in the Symmetric Inverse Semigroup. ICIAP (2) Federica Arrigoni, Eleonora Maset, Andrea Fusiello
2015	—	`conf`	Unsupervised Classification of Raw Full-Waveform Airborne Lidar Data by Self Organizing Maps. ICIAP (1) Eleonora Maset, Roberto Carniel, Fabio Crosilla

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.