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
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
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
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
PSO and ACO in Optimization Problems
L Lhotska, M Macaš, M Burša
International conference on intelligent data engineering and automated …, 2006
Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus
K Saiti, M Macaš, L Lhotská, K Štechová, P Pithová
Computer Methods and Programs in Biomedicine 196, 105628, 2020
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
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
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
Social impact and optimization
M Macas, L Lhotska
International Journal of Computational Intelligence Research 4 (2), 129-136, 2008
Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering
V Gerla, V Kremen, M Macas, D Dudysova, A Mladek, P Sos, L Lhotska
Journal of neuroscience methods 317, 61-70, 2019
Innovative default prediction approach
J Bemš, O Starý, M Macaš, J Žegklitz, P Pošík
Expert Systems with Applications 42 (17-18), 6277-6285, 2015
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
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
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
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
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: August 27 …, 2007
Social impact theory based optimizer
M Macaš, L Lhotská
European Conference on Artificial Life, 635-644, 2007
A review of model prediction in diabetes and of designing glucose regulators based on model predictive control for the artificial pancreas
K Saiti, M Macaš, K Štechová, P Pithová, L Lhotská
Information Technology in Bio-and Medical Informatics: 8th International …, 2017
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