Daiva Vitkute-Adzgauskiene

18 papers B 1Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Fine-Tuning Language Models for Emotion Recognition in Lithuanian Texts Using Neural Machine Translation of Training datasets. IVUS Mindaugas Petkevicius, Daiva Vitkute-Adzgauskiene
2023	J	`jnl`	Pareto Optimized Large Mask Approach for Efficient and Background Humanoid Shape Removal. IEEE Access Rytis Maskeliunas, Robertas Damasevicius, Daiva Vitkute-Adzgauskiene, Sanjay Misra
2023	J	`jnl`	Tax Declaration Scheme Using Blockchain Confidential Transactions. Informatica Eligijus Sakalauskas, Antanas Bendoraitis, Dale Luksaite, Gintaras Butkus, Daiva Vitkute-Adzgauskiene
2021	—	`conf`	Intrinsic Word Embedding Model Evaluation for Lithuanian Language Using Adapted Similarity and Relatedness Benchmark Datasets. IVUS Mindaugas Petkevicius, Daiva Vitkute-Adzgauskiene
2020	—	`conf`	Targeted Aspect-Based Sentiment Analysis for Lithuanian Social Media Reviews. Baltic HLT Mazvydas Petkevicius, Daiva Vitkute-Adzgauskiene, Darius Amilevicius
2019	J	`jnl`	Cut & recombine: reuse of robot action components based on simple language instructions. Int. J. Robotics Res. Minija Tamosiunaite, Mohamad Javad Aein, Jan-Matthias Braun, Tomas Kulvicius, Irena Markievicz, Jurgita Kapociute-Dzikiene, Rita Valteryte, Andrei Haidu, Dimitrios Chrysostomou, Barry Ridge, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene, Michael Beetz, Ole Madsen, Ales Ude, Norbert Krüger, Florentin Wörgötter
2017	J	`jnl`	Automated Analysis of the Content of Selected Open Access Internet Sources as a Tool for Government Decision Making. Balt. J. Mod. Comput. Vladislav V. Fomin, Tomas Krilavicius, Vytautas Mickevicius, Daiva Vitkute-Adzgauskiene, Ausra Mackute-Varoneckiene, Rita Valteryte, Tomas Tauginas, Dominykas Versinskas, Egidija Versinskiene, Evaldas Bruze
2017	—	`conf`	Reading Comprehension of Natural Language Instructions by Robots. BDAS Irena Markievicz, Minija Tamosiunaite, Daiva Vitkute-Adzgauskiene, Jurgita Kapociute-Dzikiene, Rita Valteryte, Tomas Krilavicius
2016	B	`conf`	NLP Infrastructure for the Lithuanian Language. LREC Daiva Vitkute-Adzgauskiene, Andrius Utka, Darius Amilevicius, Tomas Krilavicius
2016	—	`conf`	Overview of the Development of Language Resources and Technologies in Lithuania (2012-2015). Baltic HLT Andrius Utka, Darius Amilevicius, Tomas Krilavicius, Daiva Vitkute-Adzgauskiene
2015	J	`jnl`	Action Classification in Action Ontology Building Using Robot-Specific Texts. Inf. Technol. Control. Irena Markievicz, Jurgita Kapociute-Dzikiene, Minija Tamosiunaite, Daiva Vitkute-Adzgauskiene
2013	—	`conf`	Semi-supervised Learning of Action Ontology from Domain-Specific Corpora. ICIST Irena Markievicz, Daiva Vitkute-Adzgauskiene, Minija Tamosiunaite
2012	J	`jnl`	Pre-Standardization of Cognitive Radio Systems. Int. J. IT Stand. Stand. Res. Vladislav V. Fomin, Arturas Medeisis, Daiva Vitkute-Adzgauskiene
2012	J	`jnl`	Problems in Choosing Tools and Methods for Teaching Programming. Informatics Educ. Daiva Vitkute-Adzgauskiene, Antanas Vidziunas
2011	—	`conf`	Diminishing Print vs. Rising Electronic Publishing: The Case of Lithuania. I3E Gintare Gudaityte, Vida Melninkaite, Daiva Vitkute-Adzgauskiene, Vladislav V. Fomin
2011	—	`conf`	The role of policy in the development of Cognitive Radio systems: Co-evolutionary perspective. SIIT Vladislav V. Fomin, Arturas Medeisis, Daiva Vitkute-Adzgauskiene
2010	—	`conf`	Corpus of Contemporary Lithuanian Language - the Standardised Way. Baltic HLT Erika Rimkute, Jolanta Kovalevskaite, Vida Melninkaite, Andrius Utka, Daiva Vitkute-Adzgauskiene
2010	—	`conf`	Developing the Human Language Technology Infrastructure in Lithuania. Baltic HLT Ruta Marcinkeviciene, Daiva Vitkute-Adzgauskiene

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.