Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming A Tsakonas, G Dounias, M Doumpos, C Zopounidis Expert Systems with Applications 30 (3), 449-461, 2006 | 116 | 2006 |
A comparison of classification accuracy of four genetic programming-evolved intelligent structures A Tsakonas Information Sciences 176 (6), 691-724, 2006 | 113 | 2006 |
Evolving rule-based systems in two medical domains using genetic programming A Tsakonas, G Dounias, J Jantzen, H Axer, B Bjerregaard, ... Artificial Intelligence in Medicine 32 (3), 195-216, 2004 | 99 | 2004 |
Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation P Barmpalexis, K Kachrimanis, A Tsakonas, E Georgarakis Chemometrics and Intelligent Laboratory Systems 107 (1), 75-82, 2011 | 85 | 2011 |
Soft computing-based result prediction of football games A Tsakonas, G Dounias, S Shtovba, V Vivdyuk The First International Conference on Inductive Modelling (ICIM’2002). Lviv …, 2002 | 49 | 2002 |
Hybrid computational intelligence schemes in complex domains: An extended review A Tsakonas, G Dounias Hellenic Conference on Artificial Intelligence, 494-511, 2002 | 42 | 2002 |
GRADIENT: Grammar-driven genetic programming framework for building multi-component, hierarchical predictive systems A Tsakonas, B Gabrys Expert Systems with Applications 39 (18), 13253-13266, 2012 | 29 | 2012 |
Automated identification of cancerous smears using various competitive intelligent techniques G Dounias, B Bjerregaard, J Jantzen, A Tsakonas, N Ampazis, G Panagi, ... Oncology reports 15 (4), 1001-1006, 2006 | 28 | 2006 |
Hierarchical classification trees using type-constrained genetic programming A Tsakonas, G Dounias Proceedings First International IEEE Symposium Intelligent Systems 2, 50-54, 2002 | 24 | 2002 |
A fuzzy evolutionary framework for combining ensembles A Tsakonas, B Gabrys Applied Soft Computing 13 (4), 1800-1812, 2013 | 21 | 2013 |
Local and global optimization for Takagi–Sugeno fuzzy system by memetic genetic programming A Tsakonas Expert Systems with Applications 40 (8), 3282-3298, 2013 | 19 | 2013 |
Evolving neural-symbolic systems guided by adaptive training schemes: applications in finance A Tsakonas, G Dounias Applied Artificial Intelligence 21 (7), 681-706, 2007 | 19 | 2007 |
An evolutionary system for neural logic networks using genetic programming and indirect encoding A Tsakonas, V Aggelis, I Karkazis, G Dounias Journal of Applied Logic 2 (3), 349-379, 2004 | 19 | 2004 |
From sensor readings to predictions: On the process of developing practical soft sensors M Budka, M Eastwood, B Gabrys, P Kadlec, M Martin Salvador, S Schwan, ... Advances in Intelligent Data Analysis XIII: 13th International Symposium …, 2014 | 18 | 2014 |
Genetic programming for the generation of crisp and fuzzy rule bases in classification and diagnosis of medical data G Dounias, A Tsakonas, J Jantzen, H Axer, B Bjerregaard, D Keyserlingk Proc. 1st Int. NAISO Congr. Neuro Fuzzy Technologies, 2002 | 18 | 2002 |
Data classification using fuzzy rule-based systems represented as genetic programming type-constrained trees A Tsakonas, G Dounias, H Axer, DG von Keyserlingk Proc. of the UKCI 1, 162-168, 2001 | 15 | 2001 |
Predicting defects in software using grammar-guided genetic programming A Tsakonas, G Dounias Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008 | 13 | 2008 |
Evolving Takagi-Sugeno-Kang fuzzy systems using multi-population grammar guided genetic programming A Tsakonas, B Gabrys INSTICC, 2011 | 11 | 2011 |
A scheme for the evolution of feedforward neural networks using BNF-grammar driven genetic programming A Tsakonas, G Dounias Proc. of Eunite-02, Algarve, 2002 | 11 | 2002 |
An analysis of accuracy-diversity trade-off for hybrid combined system with multiobjective predictor selection A Tsakonas Applied intelligence 40, 710-723, 2014 | 8 | 2014 |