Patrick O. Glauner

24 papers B 2C 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Post-Turing Condition: Conceptualising Artificial Subjectivity and Synthetic Sociality. CoRR Thorsten Jelinek, Patrick O. Glauner, Alvin Wang Graylin, Yubao Qiu
2021	J	`jnl`	An Assessment of the AI Regulation Proposed by the European Commission. CoRR Patrick O. Glauner
2021	J	`jnl`	Big Data-Driven Detection of False Data Injection Attacks in Smart Meters. IEEE Access Fatih Ünal, Abdulaziz Almalaq, Sami Ekici, Patrick O. Glauner
2021	—	`conf`	Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. Teaching ML Patrick O. Glauner
2021	J	`jnl`	Staying Ahead in the MOOC-Era by Teaching Innovative AI Courses. CoRR Patrick O. Glauner
2019	—	`—`	Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. Patrick O. Glauner
2018	B	`conf`	Impact of Biases in Big Data. ESANN Patrick O. Glauner, Petko Valtchev, Radu State
2018	J	`jnl`	Impact of Biases in Big Data. CoRR Patrick O. Glauner, Petko Valtchev, Radu State
2018	J	`jnl`	On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage. CoRR Patrick O. Glauner, Radu State, Petko Valtchev, Diogo Duarte
2017	—	`conf`	A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons. VISIGRAPP (1: GRAPP) Michael Galetzka, Patrick O. Glauner
2017	—	`conf`	Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. ICDM Workshops Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte
2017	J	`jnl`	Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. CoRR Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte
2017	J	`jnl`	Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? CoRR Patrick O. Glauner, Angelo Migliosi, Jorge Augusto Meira, Eric Aislan Antonelo, Petko Valtchev, Radu State, Franck Bettinger
2017	J	`jnl`	The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey. Int. J. Comput. Intell. Syst. Patrick O. Glauner, Jorge Augusto Meira, Petko Valtchev, Radu State, Franck Bettinger
2017	B	`conf`	The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. ESANN Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State
2017	J	`jnl`	The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. CoRR Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State
2016	J	`jnl`	Deep Learning For Smile Recognition. CoRR Patrick O. Glauner
2016	J	`jnl`	Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. CoRR Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte
2016	—	`conf`	Large-scale detection of non-technical losses in imbalanced data sets. ISGT Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte
2016	J	`jnl`	Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. CoRR Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte
2016	C	`conf`	Neighborhood features help detecting non-technical losses in big data sets. BDCAT Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni
2016	J	`jnl`	The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. CoRR Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Jorge Augusto Meira, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte
2013	J	`jnl`	Use of Solr and Xapian in the Invenio document repository software. CoRR Patrick O. Glauner, Jan Iwaszkiewicz, Jean-Yves LeMeur, Tibor Simko
2012	J	`jnl`	A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons CoRR Michael Galetzka, Patrick O. Glauner

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.