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2020 – today
- 2024
[i2]Marina Cortês, Andrew R. Liddle, Christos Emmanouilidis, Anthony E. Kelly, Ken Matusow, Ragu Ragunathan, Jayne M. Suess, George Tambouratzis, Janusz Zalewski, David A. Bray:
AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention. CoRR abs/2410.01808 (2024)- [i1]George Tambouratzis:
ChatGPT Multilingual Querying Consistency - A Test Case. ERCIM News 2024(136) (2024) - 2022
- [c38]George Tambouratzis:
Investigating the Effect of Hyperparameter Values and Size on Swarm Optimization Effectiveness. SSCI 2022: 1636-1643 - [c37]Marilena Malli, George Tambouratzis:
Evaluating Corpus Cleanup Methods in the WMT'22 News Translation Task. WMT 2022: 335-341 - 2021
- [c36]George Tambouratzis:
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources. EACL 2021: 1841-1851 - [c35]George Tambouratzis
:
Selecting the Optimal Configuration ofSwarm Algorithms for an NLP Task. ICAISC (2) 2021: 113-125 - [c34]George Tambouratzis:
Are small swarms effective in PSO optimization tasks? SSCI 2021: 1-8 - 2020
- [c33]Reinhard Rapp, George Tambouratzis:
An Overview of the SEBAMAT Project. EAMT 2020: 491-492
2010 – 2019
- 2019
- [j26]George Tambouratzis, Marina Vassiliou:
Swarm Algorithms for NLP - The Case of Limited Training Data. J. Artif. Intell. Soft Comput. Res. 9(3): 219-234 (2019) - [c32]George Tambouratzis:
PSO Optimal Parameters and Fitness Functions in an NLP Task. CEC 2019: 611-618 - 2018
- [j25]George Tambouratzis:
Using Particle Swarm Optimization to Accurately Identify Syntactic Phrases in Free Text. J. Artif. Intell. Soft Comput. Res. 8(1): 63-77 (2018) - 2017
- [c31]George Tambouratzis:
Modifying the velocity in adaptive PSO to improve optimisation performance. ICACI 2017: 149-156 - [c30]George Tambouratzis:
The effectiveness of surrogate functions in improving the accuracy of PSO-type algorithms in an NLP task. SSCI 2017: 1-8 - 2016
- [j24]George Tambouratzis:
Applying particle swarm optimisation to the morphological segmentation of words from Ancient Greek texts. Pattern Anal. Appl. 19(4): 1195-1212 (2016) - [c29]George Tambouratzis:
Applying PSO to natural language processing tasks: Optimizing the identification of syntactic phrases. CEC 2016: 1831-1838 - [c28]George Tambouratzis, Vasiliki Pouli:
Linguistically Inspired Language Model Augmentation for MT. LREC 2016 - 2015
- [j23]George Tambouratzis:
Conditional random fields versus template-matching in MT phrasing tasks involving sparse training data. Pattern Recognit. Lett. 53: 44-52 (2015) - [c27]George Tambouratzis, Vassiliki Pouli:
Establishing sentential structure via realignments from small parallel corpora. HyTra@ACL 2015: 21-29 - 2014
- [j22]George Tambouratzis:
Optimizing word segmentation tasks using ant colony metaheuristics. Lit. Linguistic Comput. 29(2): 234-254 (2014) - [c26]George Tambouratzis:
Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system. HyTra@EACL 2014: 7-14 - [c25]George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou:
Expanding the Language model in a low-resource hybrid MT system. SSST@EMNLP 2014: 57-66 - 2013
- [c24]George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou:
Language-independent hybrid MT with PRESEMT. HyTra@ACL 2013: 123-130 - [c23]George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos:
A Review of the PRESEMT project. MTSummit (European projects) 2013 - 2012
- [c22]George Tambouratzis, Sokratis Sofianopoulos, Marina Vassiliou:
Evaluating the Translation Accuracy of a Novel Language-Independent MT Methodology. COLING 2012: 2569-2584 - [c21]George Tambouratzis, Marina Vassiliou, Sokratis Sofianopoulos:
PRESEMT: Pattern Recognition-based Statistically Enhanced MT. ESIRMT/HyTra@EACL 2012: 65-68 - 2011
- [j21]Nikolaos Tsimboukakis, George Tambouratzis:
Word-Map Systems for Content-Based Document Classification. IEEE Trans. Syst. Man Cybern. Part C 41(5): 662-673 (2011) - [c20]Sokratis Sofianopoulos, George Tambouratzis:
Studying the SPEA2 algorithm for optimising a pattern-recognition based machine translation system. MCDM 2011: 97-104 - [c19]George Tambouratzis, Fotini Simistira, Sokratis Sofianopoulos, Nikolaos Tsimboukakis, Marina Vassiliou:
A resource-light phrase scheme for language-portable MT. EAMT 2011 - 2010
- [j20]Nikolaos Tsimboukakis, George Tambouratzis:
A comparative study on authorship attribution classification tasks using both neural network and statistical methods. Neural Comput. Appl. 19(4): 573-582 (2010) - [j19]Zacharias Detorakis, George Tambouratzis:
Applying a sectioned genetic algorithm to word segmentation. Pattern Anal. Appl. 13(1): 93-104 (2010) - [j18]Sokratis Sofianopoulos, George Tambouratzis:
Multi-objective optimisation of real-valued parameters of a hybrid MT system using Genetic Algorithms. Pattern Recognit. Lett. 31(12): 1672-1682 (2010)
2000 – 2009
- 2009
- [j17]George Tambouratzis:
Using an Ant Colony Metaheuristic to Optimize Automatic Word Segmentation for Ancient Greek. IEEE Trans. Evol. Comput. 13(4): 742-753 (2009) - [p1]Nikolaos Tsimboukakis, George Tambouratzis:
ACO Hybrid Algorithm for Document Classification System. Innovations in Swarm Intelligence 2009: 215-236 - 2008
- [j16]Tatiana Tambouratzis, George Tambouratzis:
Meteorological data analysis using self-organizing maps. Int. J. Intell. Syst. 23(6): 735-759 (2008) - [c18]George Tambouratzis, Kostas Perifanos, Iro Voulgari, Anders Askenfelt, Svante Granqvist, Kjetil Falkenberg Hansen, Yann Orlarey, Dominique Fober, Stéphane Letz:
VEMUS: An Integrated Platform to Support Music Tuition Tasks. ICALT 2008: 972-976 - [c17]Nikolaos Tsimboukakis, George Tambouratzis:
Document classification system based on HMM word map. CSTST 2008: 7-12 - [c16]Zacharias Detorakis, George Tambouratzis:
Discovery of underlying morphological relations using an agglomerative clustering algorithm. CSTST 2008: 198-204 - 2007
- [j15]George Tambouratzis, Marina Vassiliou:
Employing Thematic Variables for Enhancing Classification Accuracy Within Author Discrimination Experiments. Lit. Linguistic Comput. 22(2): 207-224 (2007) - [c15]Zacharias Detorakis, George Tambouratzis:
Introduction of a Sectioned Genetic Algorithm for Large Scale Problems. BIONETICS 2007: 2-7 - [c14]Nikolaos Tsimboukakis, George Tambouratzis:
Neural Networks for Author Attribution. FUZZ-IEEE 2007: 1-6 - 2006
- [j14]George Tambouratzis:
Assessing the effectiveness of feature groups in author recognition tasks with the SOM model. IEEE Trans. Syst. Man Cybern. Syst. 36(2): 249-259 (2006) - [c13]Stella Markantonatou, Sokratis Sofianopoulos, Vassiliki Spilioti, George Tambouratzis, Marina Vassiliou, Olga Yannoutsou:
Using Patterns for Machine Translation. EAMT 2006 - [c12]George Tambouratzis, Sokratis Sofianopoulos, Vassiliki Spilioti, Marina Vassiliou, Olga Yannoutsou, Stella Markantonatou:
Pattern Matching-Based System for Machine Translation (MT). SETN 2006: 345-355 - 2005
- [j13]Stavroula-Evita Fotinea, George Tambouratzis:
A Methodology for Creating a Segment Inventory for Greek Time Domain Speech Synthesis. Int. J. Speech Technol. 8(2): 161-172 (2005) - 2004
- [j12]George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, Marina Vassiliou, George Carayannis, Dimitrios Tambouratzis:
Discriminating the Registers and Styles in the Modern Greek Language-Part 1: Diglossia in Stylistic Analysis. Lit. Linguistic Comput. 19(2): 197-220 (2004) - [j11]George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, Marina Vassiliou, George Carayannis, Dimitrios Tambouratzis:
Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination. Lit. Linguistic Comput. 19(2): 221-242 (2004) - 2003
- [j10]George Tambouratzis, Tatiana Tambouratzis, D. Tambouratzis:
Clustering with artificial neural networks and traditional techniques. Int. J. Intell. Syst. 18(4): 405-428 (2003) - [j9]George Tambouratzis, Nikolaos Hairetakis, Stella Markantonatou, George Carayannis:
Applying the SOM Model to Text Classification According to Register and Stylistic Content. Int. J. Neural Syst. 13(1): 1-11 (2003) - [c11]Tatiana Tambouratzis, George Tambouratzis:
Meteorological data mining employing Self-Organising Maps. ICANNGA 2003: 149-153 - 2002
- [j8]George Tambouratzis, George K. Papakonstantinou, S. Stamatelopoulos, N. Zakopoulos, S. Moulopoulos:
Analyzing the 24-hour blood pressure and heart-rate variability with self-organizing feature maps. Int. J. Intell. Syst. 17(1): 63-76 (2002) - [j7]George Tambouratzis:
Improving the Clustering Performance of the Scanning n-Tuple Method by Using Self-Supervised Algorithms to Introduce Subclasses. IEEE Trans. Pattern Anal. Mach. Intell. 24(6): 722-733 (2002) - 2001
- [j6]George Tambouratzis:
Automatic Corpora-based Stemming in Greek. Lit. Linguistic Comput. 16(4): 445-466 (2001) - [c10]Maria Founda, George Tambouratzis, Aimilios Chalamandaris, George Carayannis:
Reducing spectral mismatches in concatenative speech synthesis via systematic database enrichment. INTERSPEECH 2001: 837-840 - [c9]Stavroula-Evita Fotinea, George Tambouratzis, George Carayannis:
Constructing a segment database for greek time domain speech synthesis. INTERSPEECH 2001: 2075-2078 - [c8]George Tambouratzis, Nikolaos Hairetakis, Stella Markantonatou, George Carayannis:
Evaluating SOM-based models in Text Classification Tasks for the Greek Language. WSOM 2001: 267-274 - 2000
- [j5]George Tambouratzis:
Variable Sensitivity in Unsupervised Clustering Tasks with an N-Tuple-Based Self-Organising Neural Network. Int. J. Neural Syst. 10(2): 107-121 (2000) - [c7]George Tambouratzis:
Improving the Classification Accuracy of the Scanning n-tuple Method. ICPR 2000: 6046-6049 - [c6]George Tambouratzis, Stella Markantonatou, Nikolaos Hairetakis, George Carayannis:
Automatic Style Categorisation of Corpora in the Greek Language. LREC 2000
1990 – 1999
- 1997
- [j4]George Tambouratzis:
Image Segmentation with the SOLNN Unsupervised Logic Neural Network. Neural Comput. Appl. 6(2): 91-101 (1997) - [j3]George Tambouratzis:
Graph Planarization Employing a Harmony Theory Artificial Neural Network. Neural Comput. Appl. 6(2): 116-124 (1997) - [c5]George Tambouratzis:
Optimising Handwritten-Character Recognition with Logic Neural Networks. ICANNGA 1997: 143-146 - 1996
- [c4]George Tambouratzis:
Applying Logic Neural Networks to Hand-Written Character Recognition Tasks. ICTAI 1996: 268-271 - 1994
- [j2]George Tambouratzis:
Optimising the clustering performance of a self-organising logic neural network with topology-preserving capabilities. Pattern Recognit. Lett. 15(10): 1019-1028 (1994) - 1993
- [b1]George Tambouratzis:
Autonomous learning in logic neural networks. Brunel University London, UK, 1993 - [j1]George Tambouratzis, T. John Stonham:
Evaluating the topology-preservation capabilities of a self-organising logical neural network. Pattern Recognit. Lett. 14(11): 927-934 (1993) - [c3]George Tambouratzis, T. John Stonham:
The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based Systems. IWANN 1993: 204-209 - 1992
- [c2]George Tambouratzis, T. John Stonham:
A logical neural network that adapts to changes in the pattern environment. ICPR (2) 1992: 46-49 - [c1]George Tambouratzis, A. Krikelis:
Implementing the Abingdon Cross benchmark on the ASP. ICPR (4) 1992: 91-94
Coauthor Index
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