Emanuele Nardone

16 papers Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection.
Pattern Recognit. Lett.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2025 — conf
Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study.
EvoApplications (2)
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 J jnl
Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach.
Comput. Biol. Medicine
Emanuele Nardone, Claudio De Stefano, Nicole Dalia Cilia, Francesco Fontanella
2025 J jnl
How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study.
SN Comput. Sci.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 — conf
Scale-Aware Fractal-Lacunarity Analysis of Handwriting for Alzheimer's Disease Classification.
ICIAP (Workshops 2)
Emanuele Nardone, Marco Cantone, Gabriele Lozupone, Cesare Davide Pace, Ciro Russo, Tiziana D'Alessandro
2025 — conf
The Impact of Template Matching Threshold on Scribe Identification in Medieval Books.
ICIAP (Workshops 2)
Alessandra Scotto di Freca, Tiziana D'Alessandro, Francesco Fontanella, Emanuele Nardone, Olga Pustovalova, Claudio De Stefano
2025 — conf
UniCas research initiatives in medicine and healthcare.
Ital-IA
Gabriele Lozupone, Marco Cantone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2025 J jnl
When Deep Learning Fails: Limitations of Recurrent Models on Stroke-Based Handwriting for Alzheimer's Disease Detection.
CoRR
Emanuele Nardone, Tiziana D'Alessandro, Francesco Fontanella, Claudio De Stefano
2024 — conf
From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods.
ICDAR (2)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Cesare Davide Pace
2024 — conf
Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.
EvoApplications@EvoStar
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2024 — conf
Transformers and CNNs in Neurodiagnostics: Handwriting Analysis for Alzheimer's Diagnosis.
ICPR (11)
Gabriele Lozupone, Emanuele Nardone, Cesare Davide Pace, Tiziana D'Alessandro
2024 — conf
UniCas for Medicine and Healthcare.
Ital-IA
Marco Cantone, Svonko Galasso, Gabriele Lozupone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2023 — conf
A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
WIVACE
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2023 — conf
Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.
IGS
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2022 — conf
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning.
ICPR Workshops (1)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2020 — conf
How Smart and Green? A Simulation Model of Demand Cost Perception in the Electricity Market.
ISC2
Ciro Russo, Tobias Grossauer, Emanuele Nardone, Zafeiris Kokkinogenis, Rosaldo J. F. Rossetti

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.