Bahareh Nikpour

14 papers B 1C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comprehensive review on data-level methods for imbalanced data classification. Expert Syst. Appl. Bahareh Nikpour, Farshad Rahmati, Behzad Mirzaei, Hossein Nezamabadi-pour
2026	J	`jnl`	Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction. CoRR Dimitrios Sinodinos, Bahareh Nikpour, Jack Yi Wei, Sushant Sinha, Xiaoping Ma, Kashif Rehman, Stephen Yue, Narges Armanfard
2025	J	`jnl`	Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook. IEEE Trans. Neural Networks Learn. Syst. Bahareh Nikpour, Dimitrios Sinodinos, Narges Armanfard
2025	J	`jnl`	Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures. CoRR Parsa Omidi, Xingshuai Huang, Axel Laborieux, Bahareh Nikpour, Tianyu Shi, Armaghan Eshaghi
2023	J	`jnl`	Explainable Attention for Few-shot Learning and Beyond. CoRR Bahareh Nikpour, Narges Armanfard
2023	J	`jnl`	Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition. IEEE Trans. Syst. Man Cybern. Syst. Bahareh Nikpour, Narges Armanfard
2023	J	`jnl`	Spatio-temporal hard attention learning for skeleton-based activity recognition. Pattern Recognit. Bahareh Nikpour, Narges Armanfard
2021	J	`jnl`	CDBH: A clustering and density-based hybrid approach for imbalanced data classification. Expert Syst. Appl. Behzad Mirzaei, Bahareh Nikpour, Hossein Nezamabadi-pour
2021	B	`conf`	Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition. SMC Bahareh Nikpour, Narges Armanfard
2019	J	`jnl`	A memetic approach for training set selection in imbalanced data sets. Int. J. Mach. Learn. Cybern. Bahareh Nikpour, Hossein Nezamabadi-pour
2018	J	`jnl`	HTSS: a hyper-heuristic training set selection method for imbalanced data sets. Iran J. Comput. Sci. Bahareh Nikpour, Hossein Nezamabadi-pour
2018	J	`jnl`	Multilabel feature selection: A comprehensive review and guiding experiments. WIREs Data Mining Knowl. Discov. Shima Kashef, Hossein Nezamabadi-pour, Bahareh Nikpour
2017	J	`jnl`	NPC: Neighbors Progressive Competition Algorithm for Classification of Imbalanced Data Sets. CoRR Soroush Saryazdi, Bahareh Nikpour, Hossein Nezamabadi-pour
2013	C	`conf`	Optimum Localization of Wind Turbine Sites Using Opposition Based Ant Colony Optimization. DeSE Farhad Pouladi, Amir Mohammad Gilani, Bahareh Nikpour, Hojjat Salehinejad

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.