Areas of interest

• Pattern recognition, with emphasis on methods using artificial neural networks
• Autonomous clustering of archetypes, with applications to the automated processing of words and the automated creation of lexica.
• Parallel Computing Architectures and Distributed Computing Systems.
• Machine Translation based on Pattern Recognition Principles.
• Speech synthesis using time-domain techniques.
• Signal Processing, with emphasis on Digital Image Processing.

CV data

G. Tambouratzis obtained the Diploma in electrical engineering from the National Technical University of Athens in 1989. From October 1989 to September 1993 he pursued his postgraduate studies at Brunel University, which led to the award of an M.Sc.in Digital Systems (1990) and a Ph.D. in Pattern Recognition and Neural Networks (1993). He has been associated with the Institute for Language and Speech Processing (ILSP / R.C. "Athena") since February 1996. Since March 1999, he holds a research post at the ILSP / R.C. "Athena". He has participated in the research projects EUFONON, KEMES, METIS, METIS-2. He has been assigned the co-ordination of the VEMUS/IST project and the PENED03/ED97 project. He has served as a reviewer in several international scientific journals and conferences. He has served as a member of the Programme Committees and National Scientific Committees of international conferences. He is a member of the Technical Chamber of Greece (since1989), a member of the IEEE (since 1990), a member of the IEEE Systems, Man & Cybernetics Society (since 1992), and a Member  of the IEEE Neural Networks Society since 2003 and of the IEEE Computational Intelligence Society since 2005

• Tambouratzis, G. (2018). Using particle swarm optimization to accurately identify syntactic phrases in free text. Journal of Artificial Intelligence and Soft Computing Research, 8(1), 63-77. [...] 
• Tambouratzis, G. (2017). The effectiveness of surrogate functions in improving the accuracy of PSO-type algorithms in an NLP task. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1-8. [...] 
• Tambouratzis, G. (2017). Modifying the velocity in adaptive PSO to improve optimisation performance. In 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI), pages 149-156. [...] 
• Tambouratzis, G. (2016). Applying PSO to natural language processing tasks: Optimizing the identification of syntactic phrases. In 2016 IEEE Congress on Evolutionary Computation (CEC), pages 1831-1838. [...] 
• Tambouratzis, G., Vassiliou, M. & Sofianopoulos, S (2016). Language-independent hybrid MT: Comparative evaluation of translation quality. Hybrid Approaches to Machine Translation. Springer. [...] 
• Tambouratzis, G. & Pouli, V. (2016). Linguistically Inspired Language Model Augmentation for MT.. In LREC. [...] 
• Tambouratzis, G. (2016). Applying particle swarm optimisation to the morphological segmentation of words from Ancient Greek texts. Pattern Analysis and Applications, 19(4), 1195-1212. [...] 
• Tambouratzis, G. & Giouli, V. (2015). Establishing sentential structure via realignments from small parallel corpora. In Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra), pages 21-29. [...] 
• Tambouratzis, G. (2015). Conditional Random Fields versus template-matching in MT phrasing tasks involving sparse training data. Pattern Recognition Letters, 53, 44-52. [...] 
• Tambouratzis, G., Vassiliou, M. & Sofianopoulos, S. (2014). PRESEMT: A hybrid machine translation system based on large monolingual corpora. In selected papers of the 11th International Conference on Greek Linguistics, pages pp. 1642-1654. Rhodes. [...] 
• Tambouratzis, G. (2014). Conditional Random Fields versus template-matching in MT phrasing tasks involving sparse training data. Pattern Recognition Letters, in print(in print). [...] 
• Tambouratzis, G. (2014). Optimizing word segmentation tasks using ant colony metaheuristics. Literary & Linguistic Computing, 29(2), 234-254. [...] 
• Tambouratzis, G. (2014). Expanding the Language model in a low-resource hybrid MT system. In Dekai Wu, Marine Carpuat, Xavier Carreras & Eva Maria Vecchi (editors), Proceedings of the SSST-8 Workshop (held within EMNLP-2014), pages 57-66. Doha, Qatar : ACL. [...] 
• Tambouratzis, G. (2014). Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system.. In Proceedings of the 3rd Workshop on Hybrid Approaches to Translation (held within the EACL-2014 Conference), pages 41821,00. Gothenburg, Sweden. [...] 
• Tambouratzis, G. (2013). Eliciting Praise, Criticism and Recommendations from Positive and Negative Sentiments. In, pages pp.234-254. [...] 
• Tambouratzis, G., Vassiliou, M. & Sofianopoulos, S. (2013). Hybrid Machine Translation EL-EN system based on large monolingual corpora. In Proceedings of ICGL-2013 Conference, pages 180. Rhodos, Greece. [...] 
• Tambouratzis, G., Sofianopoulos, S. & Vassiliou, M. (2013). Language-independent hybrid MT with PRESEMT. In Proceedings of HYTRA-2013 Workshop, held within the ACL-2013 Conference, pages 123-130. Sofia, Bulgaria. [...] 
• Tambouratzis, G., Vassiliou, M. & Sofianopoulos, S. (2013). A Review of the PRESEMT project.. In Sima'an, K., Forcada, M.L., Grasmick, D. et al (editors), Proceedings of the XIV Machine Translation Summit, pages 437. Nice, France. [...] 
• Tambouratzis, G., Tsatsanifos, G., Dologlou, I. & Tsimboukakis N. (2012). SOM-based corpus modeling for disambiguation purposes in MT. In MTW-2012- Hybrid Machine Translation, Proceedings of the Workshop on Hybrid Machine Translation, held within the TSD-2012 Conference, pages pp.29-36. Brno, Czech Republic : Tribun EU & Springer. [...] 
• Tambouratzis, G., Vassiliou, M. & Sofianopoulos, S. (2012). PRESEMT: Pattern Recognition-based Statistically Enhanced MT. In Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra) at EACL-2012, pages 65-68. Avignon, France. [...] 
• Tambouratzis, G., Troullinos, M., Vassiliou, M. & Sofianopoulos, S. (2012). Accurate phrase alignment in a bilingual corpus for EBMT systems. In Reinhard Rapp, Marko Tadić, Serge Sharoff & Pierre Zweigenbaum (editors), Proceedings of the 5th Workshop on Building and Using Comparable Corpora at LREC 2012, pages 104-111. Istanbul, Turkey. [...] 
• Sofianopoulos, S., Vassiliou, M. & Tambouratzis, G. (2012). Implementing a language-independent MT Methodology. In Jagadeesh Jagarlamudi, Sujith Ravi, Xiaojun Wan & Hal Daume III (editors), Proceedings of the First Workshop on Multilingual Modeling (ACL 2012), pages 1-10. Jeju, Republic of Korea : Association for Computational Linguistics. [...] 
• Tambouratzis, G., Sofianopoulos, S. & Vassiliou, M. (2012). Evaluating the translation accuracy of a novel language-independent MT methodology. In Martin Kay & Christian Boitet (editors), Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), pages 2569-2584. Mumbai, India : The COLING 2012 Organizing Committee. [...] 
• Tambouratzis, G., Sofianopoulos, S., Vassiliou, M., Simistira, F. & Tsimboukakis, N. (2011). A resource-light phrase scheme for language-portable MT. In M.L. Forcada, H. Depraetere & V. Vadeghinste (editors), Proceedings of the 15th International Conferecne of the European Association for Machine Translation, pages 185-192. Leuven, Belgium. [...] 
• Sofianopoulos, S. & Tambouratzis, G. (2011). Studying the SPEA2 Algorithm for Optimising a Pattern-Recognition Based Machine Translation System. In Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM 2011), pages 97-104. Paris, France : IEEE PRESS. [...] 
• Tsimboukakis, N. & Tambouratzis, G. (2011). Word map systems for content-based document classification. IEEE Transactions on Systems, Man & Cybernetics – Part C, in print. [...] 
• Tsimboukakis, N. & Tambouratzis, G. (2010). A comparative study on authorship attribution classification tasks using both neural network and statistical methods. Neural Computing & Applications, 19(4), 573-582. [...] 
• Detorakis, Ζ. & Tambouratzis, G. (2010). Applying a Sectioned Genetic Algorithm to Word Segmentation. Pattern Analysis and Applications, 13(1), 93-104. [...] 
• Sofianopoulos, S. & Tambouratzis, G. (2010). Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms. Pattern Recognition Letters, 31(12), 1672-1682. [...] 
• Detorakis, Z. & Tambouratzis, G. (2009). Clustering Techniques for Establishing Inflectionally Similar Groups of Stems. International Journal of Computational Intelligence Research, in print. [...] 
• Tambouratzis, G. (2009). Using an Ant Colony Metaheuristic to Optimise Automatic Word Segmentation for Ancient Greek. IEEE Transactions on Evolutionary Computation, 13(4), 742-753. [...] 
• Tsimboukakis, N. & Tambouratzis, G (2009). ACO Hybrid Algorithm for document classification system. In L.C. Jain, S. Dehuri & CP Lim (editors), Intelligence for Knowledge-Based Systems. Germany : Springer-Verlag. [...] 
• Askenfelt, A., Hansen, K., Granqvist, S., Hellmer, K., Orlarey, Y., Fober, D. et al. (2008). VEMUS, Virtual European Music School or a young person's interactive guide to making music.. In Proceedings of the 28th ISME World Conference, pages 218. Bologna, Italy. [...] 
• Detorakis, Z. & Tambouratzis, G. (2008). Discovery of Underlying Morphological Bonds Using an Agglomerative Clustering Algorithm. In Richard Chbeir, Youakim Badr , Ajith Abraham , Dominique Laurent , Mario Koppen , Fern et al (editors), In Proceedings of the CSTST-2008 Conference, pages 198-204. Cergy-Pontoise, Paris, France. [...] 
• Tsimboukakis, N. & Tambouratzis, G. (2008). Document classification system based on HMM word map. In Richard Chbeir, Youakim Badr , Ajith Abraham , Dominique Laurent , Mario Koppen , Fern et al (editors), In Proceedings of the CSTST-2008 Conference, pages 7-12. Cergy-Pontoise, Paris, France. [...] 
• Tambouratzis, G., Perifanos, K., Voulgari, I., Askenfelt, A., Granqvist, S., Falkenberg Hansen, K. et al. (2008). VEMUS: An Integrated Platform to Support Music Tuition Tasks. In Proceedings of the ICALT-2008 Conference, pages 972-976. Santander, Spain : IEEE PRESS. [...] 
• Tambouratzis, T. & Tambouratzis, G. (2008). Meteorological data analysis using Self Organising Maps. International Journal of Intelligent Systems, 23(4), 735-759. [...] 
• Sofianopoulos, S., Tambouratzis, G. & Carayannis, G. (2008). Parameter Optimisation of MT Systems Operating on Monolingual Corpora Employing a Genetic Algorithm. In Marik V., Bradshaw J.M., Meyer J., Gruver W.A. & Benda P. (editors), Proceedings of the IEEE International Conference on Distributed Human-Machine Systems (DHMS’08), pages 260-265. Αθήνα, Ελλάδα : IEEE PRESS. [...] 
• Τσιμπουκάκης, Ν., Tambouratzis, G. & Carayannis, G. (2007). Authorship Recognition from texts Using MLP Artificial Neural Networks. In Πρακτικά 1ου Πανελλήνιου Συνεδρίου Φοιτητών Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Αθήνα. [...] 
• Δετοράκης, Ζ., Tambouratzis, G. & Carayannis, G. (2007). Morphological Processing of Texts Using Genetic Algorithms.. In Πρακτικά 1ου Πανελλήνιου Συνεδρίου Φοιτητών Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Αθήνα. [...] 
• Detorakis, Z. & Tambouratzis, G. (2007). Introduction of a Sectioned Genetic Algorithm for Large Scale Problems. In Proceedings of the Bionetics-2007 Conference, pages 2-7. Budapest, Hungary. [...] 
• Tsimboukakis, N. & Tambouratzis, G. (2007). Self-Organising Word Map for Context-Based Document ClassificationSelf-Organising Word Map for Context-Based Document Classification. In Proceedings of the WSOM-2007 Conference. Bielefeld, Germany. [...] 
• Tambouratzis, G. & Vassiliou, M. (2007). Automated Morphological Processing of Ancient Greek Texts.. In Proceedings of the 8th ICGL Conference, pages 447-460. Ioannina, Greece. [...] 
• Detorakis, Z. & Tambouratzis, G. (2007). Implementation of A Multi-Objective Genetic Algorithm On Word Segmentation In Modern Greek. In Dimitris Plexousakis (editor), Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC-2007), pages 147-152. Mallorca, Spain. [...] 
• Tsimboukakis, N. & Tambouratzis, G. (2007). Neural Networks for Author Attribution. In Costas Spyropoulos (editor), Proceedings of the IEEE International Conference on Fuzzy Systems (FuzzIEEE-2007), pages 1-6. London, England : IEEE Press. [...] 
• Markantonatou, S., Sofianopoulos, S., Spilioti, V., Tambouratzis, G., Vassiliou, M. & Yannoutsou, O. (2007). An MT System Embedding Pattern Knowledge. In Van Eynde F., V, Eghinste V. & Schuurman I. (editors), Proceedings of the 'New Approaches to Machine Translation' workshop held in conjunction with the 17th Meeting of Computational Linguistics in the Netherlands (CLIN 2007), pages 11-18. Leuven, Belgium. [...] 
• Tambouratzis, G. & Vassiliou, M. (2007). Employing Thematic Variables for Enhancing Classification Accuracy Within Author Discrimination Experiments. Literary and Linguistic Computing, 22(2), 207-224. [...] 
• Markantonatou, S., Sofianopoulos, S., Spilioti, V., Tambouratzis, G., Vassiliou, M. & Yannoutsou, O. (2006). Using Patterns for Machine Translation (MT). In George Potamias, Lonning J.T. & Oepen S. (editors), Proceedings of EAMT 11th Annual Conference, pages 239-246. Oslo, Norway. [...] 
• Tambouratzis, G., Sofianopoulos, S., Spilioti, V., Vassiliou, M., Yannoutsou, O. & Markantonatou, S. (2006). Pattern Matching-Based System for Machine Translation (MT). In G. Antoniou, G. Potamias, C. Spyropoulos & D. Plexousakis (editors), Advances in Artificial Intelligence: 4th Hellenic Conference on AI, pages 345-355. Heraklion, Greece : Springer-Verlag. [...] 
• Markantonatou, S., Sofianopoulos, S., Spilioti, V., Tambouratzis, G., Vassiliou, M., Yannoutsou, O. et al. (2005). Monolingual Corpus-based MT using Chunks. In Proceedings of the Workshop on EBMT, held within the MT Summit X, pages 91-98. Phuket, Thailand,. [...] 
• Tambouratzis, G. (2005). Assessing the Effectiveness of Feature Groups in Author Recognition Tasks with the SOM Model.. IEEE Transactions on Systems, Man & Cybernetics – Part C: Applications and Reviews, 36(2), 249-259. [...] 
• Fotinea, S. & Tambouratzis, G. (2005). A Methodology for Creating a Segment Inventory for Greek Time Domain Speech Synthesis. International Journal of Speech Technology, 8(2), 161-172. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, N., Vassiliou, M., Tambouratzis, D. & Carayannis, G. (2004). Discriminating the registers and styles in the Modern Greek language– Part 2: Extending the Feature Vector to Optimise Author Discrimination. Literary and Linguistic Computing, Jun 2004:19(Jun 2004:1), 221 – 242. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, N., Vassiliou, M., Tambouratzis, D. & Carayannis, G. (2004). Discriminating the registers and styles in the Modern Greek language – Part 1: Diglossia in Stylistic Analysis ,. Literary and Linguistic Computing, Jun 2004:19, 197 - 220. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, N., Vassiliou, M., Carayannis, G. & Tambouratzis, D. (2004). Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination. Literary and Linguistic Computing, 19(2), 221-242. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, Ν., Vassiliou, M., Carayannis, G. & Tambouratzis, D. (2004). Discriminating the Registers and Styles in the Modern Greek Language-Part 1: Diglossia in Stylistic Analysis. Literary and Linguistic Computing, 19(2), 197-220. [...] 
• Tambouratzis, G., Markantonatou, S., Vassiliou, M. & Tambouratzis, D. (2003). Employing Statistical Methods for Obtaining Discriminant Style Markers within a Specific Register. In Proceedings of the Workshop on Text Processing for Modern Greek: From Symbolic to Statistical Approaches (held in conjunction with the 6th International Conference of Greek Linguistics), pages 1-10. Rethymno, Greece. [...] 
• Tambouratzis, T. & Tambouratzis, G. (2003). Meteorological data mining employing Self-Organising Maps. In Proceedings of the ICANNGA-2003 Conference, pages 149-153. Springer Wien New York.. [...] 
• Markantonatou, S., Tambouratzis, G., Hairetakis, N., Carayannis, G., Vassiliou, M. & Tambouratzis, D. (2003). Discriminating the Registers and Styles in the Modern Greek Language. Recherches en Linguistique Grecque. In Clairis & C. (editors), Actes du 5e Colloque International de linguistique grecque,, pages 87-90. Sorbonne, France. [...] 
• Tambouratzis, G., Tambouratzis, T. & Tambouratzis, D. (2003). Clustering with Artificial Neural Networks and Traditional Techniques.. International Journal of Intelligent Systems, 18(4), 405-428. [...] 
• Dologlou, I., Markantonatou, S., Tambouratzis, G., Yannoutsou, O., Fourla, . & Ioannou, N. (2003). Using Monolingual Corpora for Statistical Machine Translation: The METIS System. In Proceedings of the EAMT-CLAW 03: Controlled Language Translation, pages 61-68. Dublin, Ireland. [...] 
• Tambouratzis, G., Hairetakis, G., Markantonatou, S. & Carayannis, G. (2003). Applying the SOM Model to Text Classification According to Register and Stylistic Content. International Journal of Neural Systems, 13(1), 1-11. [...] 
• Tambouratzis, G., Bakamidis, S., Dologlou, I., Carayannis, G. & Dendrinos, M. (2002). The IMUTUS Interactive Music Tuition System. In Acoustical Society of America Journal, pages 2348. [...] 
• Tambouratzis, G., Papakonstantinou, G., Stamatelopoulos, S., Zakopoulos, N. & Moulopoulos, S. (2002). Analysing the 24-hour Blood Pressure and Heart-Rate Variability with Self-Organising Maps.. International Journal of Intelligent Systems, 17(1), 63-76. [...] 
• Tambouratzis, G. (2002). Improving the Clustering Performance of the Scanning n-tuple Method by Using Self-supervised Algorithms to Introduce Sub-classes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(6), 722-733. [...] 
• Fotinea, S., Tambouratzis, G. & Carayannis, G. (2001). Constructing a Segment Database for Greek Time-Domain Speech Synthesis. In Proceedings of the Eurospeech-2001 Conference, pages 2075-2078. Aalborg, Denmark. [...] 
• Founda, M., Tambouratzis, G., Chalamandaris, A. & Carayannis, G. (2001). Reducing Spectral Mismatches in Concatenative Speech Synthesis via Systematic Database Enrichment. In Proceedings of the Eurospeech-2001 Conference, pages 837-840. Aalborg, Denmark. [...] 
• Tambouratzis, G., Hairetakis, N., Markantonatou, S. & Carayannis, G. (2001). Evaluating SOM-based Models in Text Classification Tasks for the Greek Language. In Allinson, N., Yin, H., Allinson, L. & Slack et al (editors), Proceedings of the WSOM-2001 Workshop: Advances in Self-Organising Maps,, pages 267-274. Lincoln, U.K. : Springer-Verlag, London. [...] 
• Tambouratzis, G., Fotinea, S. & Carayannis, G. (2001). On the Systematic Construction of High-Quality Segment Databases for Greek TTS Systems. In Euronoise2001 “4th European Conference on Noise Control, pages 608-614. Patra, Greece. [...] 
• Founda, M., Chalamandaris, A., Tambouratzis, G. & Carayannis, G. (2001). Studying the Factors Affecting the Optimal Unit Selection Algorithm for a TTS System for the Greek Language.. In Proceedings of the 4th European Conference on Noise Control,, pages 758-764. Patra, Greece. [...] 
• Tambouratzis, G. & Carayannis, G. (2001). Automatic Corpora-based Stemming in Greek. Literary and Linguistic Computing, 16(4), 445-466. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, N., Vassiliou, M., Tambouratzis, D. & Carayannis, G. (2000). Discriminating the Registers and Styles in the Modern Greek Language. In Kilgarriff, A., & Sardinha & T.B. (editors), Proceedings of the Workshop on Comparing Corpora (held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics), pages 35-42. Hong Kong, China. [...] 
• Tambouratzis, G. (2000). Improving the Classification Accuracy of the Scanning n-tuple Method.. In Sanfeliu, A., Villanueva, J.J., Vanrell, M. et al (editors), Proceedings of the 15th International Conference on Pattern Recognition, pages 1050-1053. Barcelona, Spain. [...] 
• Markantonatou, S. & Tambouratzis, G. (2000). Μερικές Ποσοτικές Παρατηρήσεις για την Χρήση της Γραμματικής Άρνησης στην Νέα Ελληνική. In Proceedings of the 21st Annual Meeting of the Department of Linguistics, Faculty of Philosophy, Aristotle University of Thessaloniki, pages 436-447. Thessaloniki. [...] 
• Tambouratzis, G., Markantonatou, S., Hairetakis, N. & Carayannis, G. (2000). Automatic Style Categorisation of Corpora in the Greek Language. In Proceedings of the 2nd International Conference on Language Resources and Evaluations, pages 135-140. Athens, Greece. [...] 
• Tambouratzis, G. (2000). Variable Sensitivity in Unsupervised Clustering Tasks with an n-tuple-based Self-Organising Neural Network. International Journal of Neural Systems, 10(2), 107-121. [...] 
• Tambouratzis, G. & Carayannis, G. (1999). Αυτόματη Δημιουργία Μορφολογικών Λεξικών με Ορολογικό Πλούτο Βάσει Κειμένων Εντάσεως Όρων. In Πρακτικά 2ου Συνεδρίου Ελληνικής Γλώσσας και Ορολογίας, pages 149-156. Αθήνα : Ελληνική Εταιρεία Ορολογίας. [...] 
• Tambouratzis, G. (1998). Recognising Hand-Written Characters with Logic Neural Networks. In Smith, G.D., Steele, N.C. & Albrecht & R.F. (editors), Artificial Neural Nets and Genetic Algorithms, pages 143-146. Springer Computer Science. [...] 
• Tambouratzis, G. (1997). Image Segmentation with the SOLNN Unsupervised Logic Neural Network. Neural Computing and Applications,, 6, 91-101. [...] 
• Tambouratzis, G., Tambouratzis, T. & Tambouratzis, D (1997). Neural Network Versus Statistical Clustering Techniques: A Pilot Study In A Phoneme Recognition Task. In Ellacott, S.W., Mason, J.C. & Anderson & I.J. (editors), Mathematics of Neural Networks: Models, Algorithms and Applications. Boston : Kluwer Academic Publishers. [...] 
• Tambouratzis, G. (1996). Applying Logic Neural Networks to Hand-written Character Recognition Tasks. In Proceedings of the ICTAI'96 Conference, pages 269-272. Toulouse, France : IEEE PRESS. [...] 
• Tambouratzis, D., Tambouratzis, G. & Tambouratzis, T. (1995). Evaluating the Performance of Statistical and Neural Network Clustering Techniques. In Proceedings of the 1st International Conference on Mathematics of Neural Networks and Applications. Oxford, U.K.. [...] 
• Tambouratzis, G. & Tambouratzis, D. (1994). Self-Organisation in Complex Pattern Spaces Using a Logic Neural Network. Network: Computation in Neural Systems, 5, 599-617. [...] 
• Tambouratzis, G. (1994). Optimising the Topology-Preservation Characteristics of a Discriminator-Based Logic Neural Network. Pattern Recognition Letters, 15, 1019-1028. [...] 
• Tambouratzis, G. (1994). Comparison of Supervised and Unsupervised Discriminator-Based Logic Neural Networks. Electronics Letters, 30(4), 248-249. [...] 
• Patel, D., Tambouratzis, G. & Stonham, T. (1993). A Logic Neural Network-Based Segmentation System with Variable Sensitivity CharacteristicsA Logic Neural Network-Based Segmentation System with Variable Sensitivity Characteristics. In Proceedings of the SPIE-93 Conference on Visual Communication and Image Processing, pages 769-776. [...] 
• Tambouratzis, G., Patel, D. & Stonham, T. (1993). Image Segmentation Using a Self-Organising Logical Neural Network.Image Segmentation Using a Self-Organising Logical Neural Network.. In Proceedings of the ICANN-93 Conference, pages 903-906. Amsterdam, The Netherlands. [...] 
• Tambouratzis, G. & Stonham, T. (1993). Optimal Topology-Preservation Using Self-Organising Logical Neural Networks. In Proceedings of the ICANN-93 Conference, pages 76-79. Amsterdam, The Netherlands. [...] 
• Tambouratzis, G. & Stonham, T. (1993). The Role of Forgetting in Efficient Learning Strategies for Self?Organising Discriminator?Based Systems. In New Trends in Neural Computation, pages 204-209. Sitges, Spain. [...] 
• Tambouratzis, G. & Stonham, T. (1993). Data Clustering in Complex Pattern Spaces Using a Self?Organising Logical Neural Network. In Proceedings of the 1993 Weightless Neural Network Workshop, pages 70-75. York, U.K. [...] 
• Tambouratzis, G. & Stonham, T. (1993). Evaluating the Topology-Preservation Capabilities of a Self-Organising Logical Neural Network. Pattern Recognition Letters, 14(11), 927-934. [...] 
• Tambouratzis, G. & Stonham, T (1993). A Self-Organising Logic Neural Network for Pattern Completion Tasks. In Lisboa, P.J.G. , Taylor & M.J. (editors), Neural Networks: Techniques and Applications. London : Ellis-Horwood. [...] 
• Tambouratzis, G. (1993). Autonomous Learning in Logic Neural Networks. Phd Thesis, Brunel University. [...] 
• Tambouratzis, G. & Stonham, T. (1992). Implementing Hard Self-Organisation Tasks Using Logical Neural Networks. In Aleks, Er, I. & Taylor & J. (eds.) (editors), Proceedings of the ICANN-92 Conference, pages 543-646. North-Holland. [...] 
• Tambouratzis, G. & Krikelis, A. (1992). Implementing the Abingdon Cross Benchmark on the ASP. In Proceedings of the 11th IAPR Conference on Pattern Recognition, pages 91-94. The Hague, The Netherlands : IEEE PRESS. [...] 
• Tambouratzis, G. & Stonham, T. (1992). A Logical Neural Network that Adapts to Changes in the Pattern Environment. In Proceedings of the 11th IAPR Conference on Pattern Recognition, pages 46-49. The Hague, The Netherlands : IEEE PRESS. [...] 
• Tambouratzis, G. & Krikelis, A. (1992). Evaluating the ASP Computer for Vision Tasks Using the Abingdon Cross Benchmark. Electronics Letters, 28(2), 205-207. [...] 
• Tambouratzis, G. (1990). Evaluating the ASP Computer Applicability to Computer Vision Using the Abingdon Cross Benchmark.. Master Thesis, Brunel University. [...]