Pasquale De Marinis

14 papers A 1C 1Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable Fuzzy GNNs for Leak Detection in Water Distribution Networks. CoRR Qusai Khaled, Pasquale De Marinis, Moez Louati, David Ferras, Laura Genga, Uzay Kaymak
2025	—	`conf`	A Weakly-Supervised Learning Approach for RGB Crop Detection Using UAV Imagery. ICIAP (Workshops 1) Pasquale De Marinis, Federico Canistro, Gennaro Vessio, Giovanna Castellano
2025	—	`conf`	Calibrated Weed Mapping. Green-Aware AI@ECAI Pasquale De Marinis, Gabriele Detomaso, Gennaro Vessio, Giovanna Castellano
2025	J	`jnl`	DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model. CoRR Pasquale De Marinis, Pieter M. Blok, Uzay Kaymak, Rogier Brussee, Gennaro Vessio, Giovanna Castellano
2025	—	`conf`	Intelligent drones with vision technology for sustainable weed mapping in precision agriculture. Ital-IA Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
2025	A	`conf`	Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. ECAI Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano
2025	J	`jnl`	Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design. CoRR Pasquale De Marinis, Uzay Kaymak, Rogier Brussee, Gennaro Vessio, Giovanna Castellano
2025	J	`jnl`	Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA. CoRR Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
2025	—	`conf`	UKANWeed: An Application of Kolmogorov-Arnold Networks to Weed Mapping. ICIAP (Workshops 1) Pasquale De Marinis, Elena Tavoletti, Gennaro Vessio, Giovanna Castellano
2024	J	`jnl`	Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. CoRR Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano
2024	—	`conf`	RoWeeder: Unsupervised Weed Mapping Through Crop-Row Detection. ECCV Workshops (3) Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
2024	J	`jnl`	RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection. CoRR Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano
2023	C	`conf`	Applying Knowledge Distillation to Improve Weed Mapping With Drones. FedCSIS Giovanna Castellano, Pasquale De Marinis, Gennaro Vessio
2023	J	`jnl`	Weed mapping in multispectral drone imagery using lightweight vision transformers. Neurocomputing Giovanna Castellano, Pasquale De Marinis, Gennaro Vessio

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.