George Tambouratzis

72 papers A 3B 9C 3Misc 1Journal 30Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Agentic Correlates of Consciousness and the Pursuit of Artificial General Intelligence. AGI (1) Shannon Gray, George Tambouratzis, Sanju Mannumadam Venugopal, Sridhar Raghavan, Richard Jiarui Tong, Zeyu Han
2025	—	`conf`	IEEE AI Standards for Agentic Systems. CAI Richard Jiarui Tong, Haoyang Li, Sridhar Raghavan, Qingsong Wen, Shannon Gray, Anand Paul, Joleen Liang, Janusz Zalewski, Yacheng Yang, George Tambouratzis, Bong Chong Ang
2025	J	`jnl`	Studying how Different Hyper-parameters Affect Particle Swarm Optimization. ERCIM News George Tambouratzis, Gary Pampara
2024	J	`jnl`	AI Horizon Scanning - White Paper p3395, IEEE-SA. Part III: Technology Watch: a selection of key developments, emerging technologies, and industry trends in Artificial Intelligence. CoRR George Tambouratzis, Marina Cortês, Andrew R. Liddle
2024	J	`jnl`	AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention. CoRR Marina Cortês, Andrew R. Liddle, Christos Emmanouilidis, Anthony E. Kelly, Ken Matusow, Ragu Ragunathan, Jayne M. Suess, George Tambouratzis, Janusz Zalewski, David A. Bray
2024	J	`jnl`	ChatGPT Multilingual Querying Consistency - A Test Case. ERCIM News George Tambouratzis
2022	—	`conf`	Evaluating Corpus Cleanup Methods in the WMT'22 News Translation Task. WMT Marilena Malli, George Tambouratzis
2022	—	`conf`	Investigating the Effect of Hyperparameter Values and Size on Swarm Optimization Effectiveness. SSCI George Tambouratzis
2021	A	`conf`	Alignment verification to improve NMT translation towards highly inflectional languages with limited resources. EACL George Tambouratzis
2021	—	`conf`	Are small swarms effective in PSO optimization tasks? SSCI George Tambouratzis
2021	—	`conf`	Selecting the Optimal Configuration ofSwarm Algorithms for an NLP Task. ICAISC (2) George Tambouratzis
2020	C	`conf`	An Overview of the SEBAMAT Project. EAMT Reinhard Rapp, George Tambouratzis
2019	B	`conf`	PSO Optimal Parameters and Fitness Functions in an NLP Task. CEC George Tambouratzis
2019	J	`jnl`	Swarm Algorithms for NLP - The Case of Limited Training Data. J. Artif. Intell. Soft Comput. Res. George Tambouratzis, Marina Vassiliou
2018	J	`jnl`	Using Particle Swarm Optimization to Accurately Identify Syntactic Phrases in Free Text. J. Artif. Intell. Soft Comput. Res. George Tambouratzis
2017	—	`conf`	Modifying the velocity in adaptive PSO to improve optimisation performance. ICACI George Tambouratzis
2017	—	`conf`	The effectiveness of surrogate functions in improving the accuracy of PSO-type algorithms in an NLP task. SSCI George Tambouratzis
2016	B	`conf`	Applying PSO to natural language processing tasks: Optimizing the identification of syntactic phrases. CEC George Tambouratzis
2016	J	`jnl`	Applying particle swarm optimisation to the morphological segmentation of words from Ancient Greek texts. Pattern Anal. Appl. George Tambouratzis
2016	B	`conf`	Linguistically Inspired Language Model Augmentation for MT. LREC George Tambouratzis, Vasiliki Pouli
2015	J	`jnl`	Conditional random fields versus template-matching in MT phrasing tasks involving sparse training data. Pattern Recognit. Lett. George Tambouratzis
2015	—	`conf`	Establishing sentential structure via realignments from small parallel corpora. HyTra@ACL George Tambouratzis, Vassiliki Pouli
2014	—	`conf`	Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system. HyTra@EACL George Tambouratzis
2014	—	`conf`	Expanding the Language model in a low-resource hybrid MT system. SSST@EMNLP George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou
2014	J	`jnl`	Optimizing word segmentation tasks using ant colony metaheuristics. Lit. Linguistic Comput. George Tambouratzis
2013	—	`conf`	A Review of the PRESEMT project. MTSummit (European projects) George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
2013	—	`conf`	Language-independent hybrid MT with PRESEMT. HyTra@ACL George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou
2012	B	`conf`	Evaluating the Translation Accuracy of a Novel Language-Independent MT Methodology. COLING George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou
2012	—	`conf`	PRESEMT: Pattern Recognition-based Statistically Enhanced MT. ESIRMT/HyTra@EACL George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos
2011	C	`conf`	A resource-light phrase scheme for language-portable MT. EAMT George Tambouratzis, Fotini Simistira, Sokratis Sofianopoulos, Nikolaos Tsimboukakis, Marina Vassiliou
2011	—	`conf`	Studying the SPEA2 algorithm for optimising a pattern-recognition based machine translation system. MCDM Sokratis Sofianopoulos, George Tambouratzis
2011	J	`jnl`	Word-Map Systems for Content-Based Document Classification. IEEE Trans. Syst. Man Cybern. Part C Nikolaos Tsimboukakis, George Tambouratzis
2010	J	`jnl`	A comparative study on authorship attribution classification tasks using both neural network and statistical methods. Neural Comput. Appl. Nikolaos Tsimboukakis, George Tambouratzis
2010	J	`jnl`	Applying a sectioned genetic algorithm to word segmentation. Pattern Anal. Appl. Zacharias Detorakis, George Tambouratzis
2010	J	`jnl`	Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms. Pattern Recognit. Lett. Sokratis Sofianopoulos, George Tambouratzis
2009	—	`ch.`	ACO Hybrid Algorithm for Document Classification System. Innovations in Swarm Intelligence Nikolaos Tsimboukakis, George Tambouratzis
2009	J	`jnl`	Using an Ant Colony Metaheuristic to Optimize Automatic Word Segmentation for Ancient Greek. IEEE Trans. Evol. Comput. George Tambouratzis
2008	—	`conf`	Discovery of underlying morphological relations using an agglomerative clustering algorithm. CSTST Zacharias Detorakis, George Tambouratzis
2008	—	`conf`	Document classification system based on HMM word map. CSTST Nikolaos Tsimboukakis, George Tambouratzis
2008	J	`jnl`	Meteorological data analysis using self-organizing maps. Int. J. Intell. Syst. Tatiana Tambouratzis, George Tambouratzis
2008	B	`conf`	VEMUS: An Integrated Platform to Support Music Tuition Tasks. ICALT George Tambouratzis, Kostas Perifanos, Iro Voulgari, Anders Askenfelt, Svante Granqvist, Kjetil Falkenberg Hansen, Yann Orlarey, Dominique Fober, Stéphane Letz
2007	J	`jnl`	Employing Thematic Variables for Enhancing Classification Accuracy Within Author Discrimination Experiments. Lit. Linguistic Comput. George Tambouratzis, Marina Vassiliou
2007	—	`conf`	Introduction of a Sectioned Genetic Algorithm for Large Scale Problems. BIONETICS Zacharias Detorakis, George Tambouratzis
2007	B	`conf`	Neural Networks for Author Attribution. FUZZ-IEEE Nikolaos Tsimboukakis, George Tambouratzis
2006	J	`jnl`	Assessing the effectiveness of feature groups in author recognition tasks with the SOM model. IEEE Trans. Syst. Man Cybern. Syst. George Tambouratzis
2006	—	`conf`	Pattern Matching-Based System for Machine Translation (MT). SETN George Tambouratzis, Sokratis Sofianopoulos, Vassiliki Spilioti, Marina Vassiliou, Olga Yannoutsou, Stella Markantonatou
2006	C	`conf`	Using Patterns for Machine Translation. EAMT Stella Markantonatou, Sokratis Sofianopoulos, Vassiliki Spilioti, George Tambouratzis, Marina Vassiliou, Olga Yannoutsou
2005	J	`jnl`	A Methodology for Creating a Segment Inventory for Greek Time Domain Speech Synthesis. Int. J. Speech Technol. Stavroula-Evita Fotinea, George Tambouratzis
2004	J	`jnl`	Discriminating the Registers and Styles in the Modern Greek Language-Part 1: Diglossia in Stylistic Analysis. Lit. Linguistic Comput. George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, Marina Vassiliou, George Carayannis, Dimitrios Tambouratzis
2004	J	`jnl`	Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination. Lit. Linguistic Comput. George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, Marina Vassiliou, George Carayannis, Dimitrios Tambouratzis
2003	J	`jnl`	Applying the SOM Model to Text Classification According to Register and Stylistic Content. Int. J. Neural Syst. George Tambouratzis, Nikolaos Hairetakis, Stella Markantonatou, George Carayannis
2003	J	`jnl`	Clustering with artificial neural networks and traditional techniques. Int. J. Intell. Syst. George Tambouratzis, Tatiana Tambouratzis, D. Tambouratzis
2003	—	`conf`	Meteorological data mining employing Self-Organising Maps. ICANNGA Tatiana Tambouratzis, George Tambouratzis
2002	J	`jnl`	Analyzing the 24-hour blood pressure and heart-rate variability with self-organizing feature maps. Int. J. Intell. Syst. George Tambouratzis, George K. Papakonstantinou, S. Stamatelopoulos, N. Zakopoulos, S. Moulopoulos
2002	J	`jnl`	Improving the Clustering Performance of the Scanning n-Tuple Method by Using Self-Supervised Algorithms to Introduce Subclasses. IEEE Trans. Pattern Anal. Mach. Intell. George Tambouratzis
2001	J	`jnl`	Automatic Corpora-based Stemming in Greek. Lit. Linguistic Comput. George Tambouratzis
2001	A	`conf`	Constructing a segment database for greek time domain speech synthesis. INTERSPEECH Stavroula-Evita Fotinea, George Tambouratzis, George Carayannis
2001	—	`conf`	Evaluating SOM-based models in Text Classification Tasks for the Greek Language. WSOM George Tambouratzis, Nikolaos Hairetakis, Stella Markantonatou, George Carayannis
2001	A	`conf`	Reducing spectral mismatches in concatenative speech synthesis via systematic database enrichment. INTERSPEECH Maria Founda, George Tambouratzis, Aimilios Chalamandaris, George Carayannis
2000	B	`conf`	Automatic Style Categorisation of Corpora in the Greek Language. LREC George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, George Carayannis
2000	B	`conf`	Improving the Classification Accuracy of the Scanning n-tuple Method. ICPR George Tambouratzis
2000	J	`jnl`	Variable Sensitivity in Unsupervised Clustering Tasks with an N-Tuple-Based Self-Organising Neural Network. Int. J. Neural Syst. George Tambouratzis
1997	J	`jnl`	Graph Planarization Employing a Harmony Theory Artificial Neural Network. Neural Comput. Appl. George Tambouratzis
1997	J	`jnl`	Image Segmentation with the SOLNN Unsupervised Logic Neural Network. Neural Comput. Appl. George Tambouratzis
1997	—	`conf`	Optimising Handwritten-Character Recognition with Logic Neural Networks. ICANNGA George Tambouratzis
1996	B	`conf`	Applying Logic Neural Networks to Hand-Written Character Recognition Tasks. ICTAI George Tambouratzis
1994	J	`jnl`	Optimising the clustering performance of a self-organising logic neural network with topology-preserving capabilities. Pattern Recognit. Lett. George Tambouratzis
1993	—	`—`	Autonomous learning in logic neural networks. George Tambouratzis
1993	J	`jnl`	Evaluating the topology-preservation capabilities of a self-organising logical neural network. Pattern Recognit. Lett. George Tambouratzis, T. John Stonham
1993	Misc	`conf`	The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based Systems. IWANN George Tambouratzis, T. John Stonham
1992	—	`conf`	A logical neural network that adapts to changes in the pattern environment. ICPR (2) George Tambouratzis, T. John Stonham
1992	—	`conf`	Implementing the Abingdon Cross benchmark on the ASP. ICPR (4) George Tambouratzis, A. Krikelis

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.