Ben Gabrielson

22 papers Misc 9Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Guide to Multiset Canonical Correlation Analysis and Its Application to Joint Blind Source Separation. IEEE Trans. Signal Process. Isabell Lehmann, Ben Gabrielson, Tanuj Hasija, Tülay Adali
2026	J	`jnl`	Large-scale resting-state fMRI analysis via regression-assisted framework. Biomed. Signal Process. Control. Hanlu Yang, Ben Gabrielson, Trung Vu, Vince D. Calhoun, Tülay Adali
2025	Misc	`conf`	Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data. CISS Chunying Jia, Weixin Wang, Trung Vu, Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
2025	J	`jnl`	An Effective Iterative Solution for Independent Vector Analysis With Convergence Guarantees. IEEE Trans. Signal Process. Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
2025	Misc	`conf`	Grassmannian Kernels for Efficient and Effective Detection of Group Differences in fMRI Data. CISS Ashfia Binte Habib, Ben Gabrielson, Hanlu Yang, Vince D. Calhoun, Tülay Adali
2025	J	`jnl`	Large-Scale Independent Vector Analysis (IVA-G) via Coresets. IEEE Trans. Signal Process. Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali
2024	Misc	`conf`	A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. ICASSP Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
2024	J	`jnl`	An Efficient Analytic Solution for Joint Blind Source Separation. IEEE Trans. Signal Process. Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Isabell Lehmann, Tülay Adali
2024	J	`jnl`	Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access Isabell Lehmann, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
2024	J	`jnl`	Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. IEEE Trans. Biomed. Eng. Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2024	J	`jnl`	Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis. IEEE Access Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali
2023	Misc	`conf`	A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
2023	J	`jnl`	A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis. Sensors Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince D. Calhoun, Tülay Adali
2023	Misc	`conf`	Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. ICASSP Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
2023	J	`jnl`	Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2023	Misc	`conf`	Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression. ICASSP Ben Gabrielson, Mingyu Sun, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
2023	J	`jnl`	Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2023	Misc	`conf`	REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. ACSSC Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali
2022	—	`conf`	An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields. EMBC Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2021	Misc	`conf`	ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. ICASSP Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali
2020	J	`jnl`	Joint-IVA for identification of discriminating features in EEG: Application to a driving study. Biomed. Signal Process. Control. Ben Gabrielson, Mohammad A. B. S. Akhonda, Suchita Bhinge, Justin Brooks, Qunfang Long, Tülay Adali
2018	Misc	`conf`	Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis. ICASSP Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali

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.