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Martin Macas
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2020 – today
- 2020
- [j6]Kyriaki Saiti, Martin Macas, Lenka Lhotská, Katerina Stechová, Pavlína Pithová:
Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus. Comput. Methods Programs Biomed. 196: 105628 (2020) - [c30]Martin Macas, Kyriaki Saiti, Lenka Lhotská, Katerina Stechová, Pavlína Pithová:
Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models. pHealth 2020: 149-154
2010 – 2019
- 2019
- [c29]Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská:
Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. UCAmI 2019: 46 - [c28]Nela Grimová, Martin Macas:
Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification. UCAmI 2019: 80 - 2018
- [c27]Iva Milerská, Lenka Lhotská, Martin Macas:
Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. BIBM 2018: 1522-1525 - [c26]Nela Grimová, Martin Macas, Václav Gerla:
Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. BIBM 2018: 2249-2253 - [c25]Jindrich Adolf, Martin Macas, Lenka Lhotská, Jaromir Dolezal:
Deep neural network based body posture recognitions and fall detection from low resolution infrared array sensor. BIBM 2018: 2394-2399 - [c24]Václav Gerla, Václav Kremen, Martin Macas, Elizaveta Saifutdinová, Arnost Mládek, Lenka Lhotská:
Expert-in-the-loop Learning for Sleep EEG Data. BIBM 2018: 2590-2596 - [c23]Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská, Elizaveta Saifutdinová:
Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. BIBM 2018: 2621-2627 - [c22]Elizaveta Saifutdinová, Daniela Urbaczka Dudysova, Lenka Lhotská, Václav Gerla, Martin Macas:
Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. BIBM 2018: 2803-2805 - 2017
- [c21]Martin Macas, Lenka Lhotská, Katerina Stechová, Pavlína Pithová, Kyriaki Saiti:
Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values. CYBCONF 2017: 1-6 - [c20]Kyriaki Saiti, Martin Macas, Katerina Stechová, Pavlína Pithová, Lenka Lhotská:
A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas. ITBAM 2017: 66-81 - 2016
- [j5]Martin Macas, Fabio Moretti:
Sensitivity based selection of inputs and delays for NARX models. EAI Endorsed Trans. Self Adapt. Syst. 2(5): e3 (2016) - [c19]Elizaveta Saifutdinová, Martin Macas, Václav Gerla, Lenka Lhotská:
Adaptive Segmentation Optimization for Sleep Spindle Detector. ITBAM 2016: 85-96 - [c18]Kyriaki Saiti, Martin Macas, Lenka Lhotská:
Importance and Quality of Eating Related Photos in Diabetics. ITBAM 2016: 173-185 - 2015
- [j4]Július Bems, Oldrich Starý, Martin Macas, Jan Zegklitz, Petr Posík:
Innovative default prediction approach. Expert Syst. Appl. 42(17-18): 6277-6285 (2015) - [j3]Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macas, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar:
Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification. Neural Networks 71: 142-149 (2015) - [c17]Martin Macas, Fabio Moretti:
Sensitivity based selection of inputs and delays for NARX models. BICT 2015: 15-20 - [c16]Petr Kadera, Martin Macas:
Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating. HoloMAS 2015: 206-216 - 2014
- [j2]Martin Macas, Amol P. Bhondekar, Ritesh Kumar, Rishemjit Kaur, Jakub Kuzilek, Václav Gerla, Lenka Lhotská, Pawan Kapur:
Binary social impact theory based optimization and its applications in pattern recognition. Neurocomputing 132: 85-96 (2014) - [c15]Martin Macas, Fabio Moretti, Fiorella Lauro, Stefano Pizzuti, Mauro Annunziato, Alessandro Fonti, Gabriele Comodi, Andrea Giantomassi:
Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort. ICAIS 2014: 11-19 - [c14]Martin Macas, Fiorella Lauro, Fabio Moretti, Stefano Pizzuti, Mauro Annunziato, Alessandro Fonti, Gabriele Comodi, Andrea Giantomassi:
Sensitivity Based Feature Selection for Recurrent Neural Network Applied to Forecasting of Heating Gas Consumption. SOCO-CISIS-ICEUTE 2014: 259-268 - 2013
- [c13]Martin Macas, Lenka Lhotská, Daniel Novák:
Hidden Markov models for analysis of eye movements of dyslexic children. DSP 2013: 1-5 - [c12]Martin Macas, Lenka Lhotská:
Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices. SMC 2013: 1171-1174 - 2012
- [j1]Martin Macas, Lenka Lhotská, Eduard Bakstein, Daniel Novák, Jirí Wild, Tomás Sieger, Pavel Vostatek, Robert Jech:
Wrapper feature selection for small sample size data driven by complete error estimates. Comput. Methods Programs Biomed. 108(1): 138-150 (2012) - [c11]Martin Macas, Václav Gerla, Lenka Lhotská:
Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection. SOCO 2012: 389-398 - [c10]Karla Stépánová, Martin Macas, Lenka Lhotská:
Correlation-Based Neural Gas for Visualizing Correlations between EEG Features. CISIS/ICEUTE/SOCO Special Sessions 2012: 439-446 - 2011
- [c9]Martin Macas, Lenka Lhotská:
Optimizers derived from human opinion formation. NaBIC 2011: 359-364 - [c8]Martin Macas, Lenka Lhotská:
Simplified Social Impact Theory Based Optimizer in Feature Subset Selection. NICSO 2011: 133-147
2000 – 2009
- 2007
- [c7]Martin Macas, Lenka Lhotská:
Social Impact Theory Based Optimizer. ECAL 2007: 635-644 - [c6]Miroslav Bursa, Lenka Lhotská, Martin Macas:
Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation. HIS 2007: 150-155 - [c5]Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská:
Particle Swarm Optimisation of Multiple Classifier Systems. IWANN 2007: 333-340 - [p1]Martin Macas, Lenka Lhotská, Václav Kremen:
Social Impact based Approach to Feature Subset Selection. NICSO 2007: 239-248 - 2006
- [c4]Martin Saska, Martin Macas, Libor Preucil, Lenka Lhotská:
Robot Path Planning using Particle Swarm Optimization of Ferguson Splines. ETFA 2006: 833-839 - [c3]Lenka Lhotská, Martin Macas, Miroslav Bursa:
PSO and ACO in Optimization Problems. IDEAL 2006: 1390-1398 - [c2]Martin Macas, Daniel Novák, Lenka Lhotská:
Constraints in Particle Swarm Optimization of Hidden Markov Models. IDEAL 2006: 1399-1406 - [c1]Martin Macas, Miroslav Bursa, Lenka Lhotská:
Discrete and Continuous Aspects of Nature Inspired Methods. KES (2) 2006: 409-416
Coauthor Index
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