Macas Martin
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Robot path planning using particle swarm optimization of Ferguson splines
M Saska, M Macas, L Preucil, L Lhotska
2006 IEEE Conference on Emerging Technologies and Factory Automation, 833-839, 2006
A new approach to automated assessment of fractionation of endocardial electrograms during atrial fibrillation
V Křemen, L Lhotská, M Macaš, R Čihák, V Vančura, J Kautzner, ...
Physiological measurement 29 (12), 1371, 2008
The role of data sample size and dimensionality in neural network based forecasting of building heating related variables
M Macas, F Moretti, A Fonti, A Giantomassi, G Comodi, M Annunziato, ...
Energy and Buildings 111, 299-310, 2016
PSO and ACO in Optimization Problems
L Lhotská, M Macaš, M Burša
International Conference on Intelligent Data Engineering and Automated …, 2006
Binary social impact theory based optimization and its applications in pattern recognition
M Macaš, AP Bhondekar, R Kumar, R Kaur, J Kuzilek, V Gerla, L Lhotská, ...
Neurocomputing 132, 85-96, 2014
Loquendo-politecnico di Torino's 2006 NIST speaker recognition evaluation system
C Vair, D Colibro, F Castaldo, E Dalmasso, P Laface
Eighth Annual Conference of the International Speech Communication Association, 2007
Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification
ST Sarkar, AP Bhondekar, M Macaš, R Kumar, R Kaur, A Sharma, ...
Neural Networks 71, 142-149, 2015
Social impact and optimization
M Macas, L Lhotska
International Journal of Computational Intelligence Research. v4 i2, 129-136, 2008
Wrapper feature selection for small sample size data driven by complete error estimates
M Macaš, L Lhotská, E Bakstein, D Novák, J Wild, T Sieger, P Vostatek, ...
Computer methods and programs in biomedicine 108 (1), 138-150, 2012
School children dyslexia analysis using self organizing maps
D Novak, P Kordik, M Macas, M Vyhnalek, R Brzezny, L Lhotska
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
Building fan coil electric consumption analysis with fuzzy approaches for fault detection and diagnosis
F Lauro, F Moretti, A Capozzoli, I Khan, S Pizzuti, M Macas, S Panzieri
Energy Procedia 62, 411-420, 2014
Classification of the emotional states based on the EEG signal processing
M Macaš, M Vavrecka, V Gerla, L Lhotská
2009 9th International Conference on Information Technology and Applications …, 2009
Hybridized swarm metaheuristics for evolutionary random forest generation
M Bursa, L Lhotska, M Macas
7th International Conference on Hybrid Intelligent Systems (HIS 2007), 150-155, 2007
Innovative default prediction approach
J Bemš, O Starý, M Macaš, J Žegklitz, P Pošík
Expert Systems with Applications 42 (17-18), 6277-6285, 2015
Social impact theory based optimizer
M Macaš, L Lhotská
European Conference on Artificial Life, 635-644, 2007
Particle swarm optimisation of multiple classifier systems
M Macaš, B Gabrys, D Ruta, L Lhotská
International Work-Conference on Artificial Neural Networks, 333-340, 2007
Constraints in particle swarm optimization of hidden Markov models
M Macaš, D Novák, L Lhotská
International Conference on Intelligent Data Engineering and Automated …, 2006
Social impact based approach to feature subset selection
M Macaš, L Lhotská, V Křemen
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 239-248, 2008
Classification of fetal heart rate signals based on features selected using the binary particle swarm algorithm
G Georgoulas, C Stylios, V Chudacek, M Macas, J Bernardes, L Lhotska
World Congress on Medical Physics and Biomedical Engineering 2006, 1156-1159, 2007
Bio-inspired methods for analysis and classification of reading eye movements of dyslexic children
M Macaš, L Lhotská, D Novák
Department of Cybernetics, Czech TechnicalUniversity in Prague, Czech …, 2005
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