Elizabeth Thomas

14 papers B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing. Frontiers Big Data Elizabeth Thomas, Ferid Ben Ali, Arvind Tolambiya, Florian Chambellant, Jérémie Gaveau
2022	J	`jnl`	Educational attainment and willingness to use technology for health and to share health information - The reimagining healthcare survey. Int. J. Medical Informatics Crystal Man Ying Lee, Elizabeth Thomas, Richard Norman, Leanne Wells, Tim Shaw, Julia Nesbitt, Isobel Frean, Luke Baxby, Sabine Bennett, Suzanne Robinson
2020	J	`jnl`	Machine Learning Approaches for Activity Recognition and/or Activity Prediction in Locomotion Assistive Devices - A Systematic Review. Sensors Floriant Labarrière, Elizabeth Thomas, Laurine Calistri, Virgil Optasanu, Mathieu Gueugnon, Paul Ornetti, Davy Laroche
2020	J	`jnl`	Strong geodetic problems in networks. Discuss. Math. Graph Theory Andrew Arokiaraj, Sandi Klavzar, Paul D. Manuel, Elizabeth Thomas, Antony Xavier
2017	J	`jnl`	Machine learning-XGBoost analysis of language networks to classify patients with epilepsy. Brain Informatics Laurent Torlay, Marcela Perrone-Bertolotti, Elizabeth Thomas, Monica Baciu
2016	—	`conf`	A Forensic Methodology for Analyzing Nintendo 3DS Devices. IFIP Int. Conf. Digital Forensics Huw Read, Elizabeth Thomas, Iain Sutherland, Konstantinos Xynos, Mikhaila Burgess
2015	J	`jnl`	Interactive Effects of Explicit Emergent Structure: A Major Challenge for Cognitive Computational Modeling. Top. Cogn. Sci. Robert M. French, Elizabeth Thomas
2014	J	`jnl`	A classification study of kinematic gait trajectories in hip osteoarthritis. Comput. Biol. Medicine Davy Laroche, Arvind Tolambiya, C. Morisset, J. F. Maillefert, Robert M. French, Paul Ornetti, Elizabeth Thomas
2011	B	`conf`	Learning to perceive time: A connectionist, memory-decay model of the development of interval timing in infants. CogSci Caspar Addyman, Robert M. French, Denis Mareschal, Elizabeth Thomas
2006	J	`jnl`	PROBER: oligonucleotide FISH probe design software. Bioinform. Nicholas Navin, Vladimir Grubor, Jim Hicks, Evan Leibu, Elizabeth Thomas, Jennifer Troge, Michael Riggs, Pär Lundin, Susanne Månér, Jonathan Sebat, Anders Zetterberg, Michael Wigler
2001	J	`jnl`	The Dynamical Hypothesis in Cognitive Science: A Review Essay of Mind As Motion. Minds Mach. Robert M. French, Elizabeth Thomas
2000	J	`jnl`	Increased Synchrony with Increase of a Low-Threshold Calcium Conductance in a Model Thalamic Network: A Phase-Shift Mechanism. Neural Comput. Elizabeth Thomas, Thierry Grisar
1992	J	`jnl`	A computational model of vertical signal propagation in the primary visual cortex. Biol. Cybern. Paul Patton, Elizabeth Thomas, Robert E. Wyatt
1991	J	`jnl`	A computational model of the vertical anatomical organization of primary visual cortex. Biol. Cybern. Elizabeth Thomas, Paul Patton, Robert E. Wyatt

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.