Gabriele Sartor

15 papers A 1B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations. CoRR Matteo Salis, Gabriele Sartor, Rosa Meo, Stefano Ferraris, Abdourrahmane M. Atto
2026	J	`jnl`	Synthesizing Evolving Symbolic Representations for Autonomous Systems. Prog. Artif. Intell. Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Rosa Meo
2025	J	`jnl`	Deep learning tools to support deforestation monitoring in Ivory Coast using SAR and optical satellite imagery. Int. J. Appl. Earth Obs. Geoinformation Gabriele Sartor, Matteo Salis, Stefano Pinardi, Ozgur Saracik, Rosa Meo
2025	B	`conf`	Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains. DS Matteo Salis, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano Ferraris, Abdourrahmane M. Atto
2024	J	`jnl`	Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery. CoRR Gabriele Sartor, Matteo Salis, Stefano Pinardi, Ozgur Saracik, Rosa Meo
2024	J	`jnl`	Synthesizing Evolving Symbolic Representations for Autonomous Systems. CoRR Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Rosa Meo
2024	—	`conf`	What's Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations. AI4CC-IPS-RCRA-SPIRIT@AI*IA Matteo Salis, Gabriele Sartor, Marco Pellegrino, Stefano Ferraris, Abdourrahmane M. Atto, Rosa Meo
2023	—	`conf`	Intrinsically Motivated High-Level Planning for Agent Exploration. AI*IA Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci
2023	J	`jnl`	Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D'Ivoire. Sensors Stefano Ferraris, Rosa Meo, Stefano Pinardi, Matteo Salis, Gabriele Sartor
2022	J	`jnl`	Option Discovery for Autonomous Generation of Symbolic Knowledge. CoRR Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci
2021	—	`conf`	Autonomous Generation of Symbolic Knowledge via Option Discovery. IPS-RCRA@AI*IA Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci
2021	—	`conf`	Option Discovery for Autonomous Generation of Symbolic Knowledge. AI*IA Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci
2020	A	`conf`	Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. ECAI Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre
2019	—	`conf`	An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots. AIRO@AI*IA Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre
2019	J	`jnl`	Learning High-Level Planning Symbols from Intrinsically Motivated Experience. CoRR Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci

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.