Martin Macas

Publication Activity (10 Years)

Years Active: 2006-2020
Publications (10 Years): 15

Top Topics

Diabetes Mellitus

Top Venues

Comput. Methods Programs Biomed.

Publications

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 (2020)
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)
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)
Nela Grimová, Martin Macas
Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification. UCAmI (2019)
Nela Grimová, Martin Macas, Václav Gerla
Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. BIBM (2018)
Elizaveta Saifutdinová, Daniela Urbaczka Dudysova, Lenka Lhotská, Václav Gerla, Martin Macas
Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. BIBM (2018)
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)
Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská, Elizaveta Saifutdinová
Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. BIBM (2018)
Václav Gerla, Václav Kremen, Martin Macas, Elizaveta Saifutdinová, Arnost Mládek, Lenka Lhotská
Expert-in-the-loop Learning for Sleep EEG Data. BIBM (2018)
Iva Milerská, Lenka Lhotská, Martin Macas
Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. BIBM (2018)
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)
Martin Macas, Lenka Lhotská, Katerina Stechová, Pavlína Pithová, Kyriaki Saiti
Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values. CYBCONF (2017)
Kyriaki Saiti, Martin Macas, Lenka Lhotská
Importance and Quality of Eating Related Photos in Diabetics. ITBAM (2016)
Martin Macas, Fabio Moretti
Sensitivity based selection of inputs and delays for NARX models. EAI Endorsed Trans. Self Adapt. Syst. 2 (5) (2016)
Elizaveta Saifutdinová, Martin Macas, Václav Gerla, Lenka Lhotská
Adaptive Segmentation Optimization for Sleep Spindle Detector. ITBAM (2016)
Martin Macas, Fabio Moretti
Sensitivity based selection of inputs and delays for NARX models. BICT (2015)
Július Bems, Oldrich Starý, Martin Macas, Jan Zegklitz, Petr Posík
Innovative default prediction approach. Expert Syst. Appl. 42 (17-18) (2015)
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 (2015)
Petr Kadera, Martin Macas
Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating. HoloMAS (2015)
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)
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)
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 (2014)
Martin Macas, Lenka Lhotská, Daniel Novák
Hidden Markov models for analysis of eye movements of dyslexic children. DSP (2013)
Martin Macas, Lenka Lhotská
Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices. SMC (2013)
Martin Macas, Václav Gerla, Lenka Lhotská
Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection. SOCO (2012)
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) (2012)
Karla Stépánová, Martin Macas, Lenka Lhotská
Correlation-Based Neural Gas for Visualizing Correlations between EEG Features. CISIS/ICEUTE/SOCO Special Sessions (2012)
Martin Macas, Lenka Lhotská
Simplified Social Impact Theory Based Optimizer in Feature Subset Selection. NICSO (2011)
Martin Macas, Lenka Lhotská
Optimizers derived from human opinion formation. NaBIC (2011)
Martin Macas, Lenka Lhotská
Social Impact Theory Based Optimizer. ECAL (2007)
Miroslav Bursa, Lenka Lhotská, Martin Macas
Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation. HIS (2007)
Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská
Particle Swarm Optimisation of Multiple Classifier Systems. IWANN (2007)
Martin Macas, Daniel Novák, Lenka Lhotská
Constraints in Particle Swarm Optimization of Hidden Markov Models. IDEAL (2006)
Martin Saska, Martin Macas, Libor Preucil, Lenka Lhotská
Robot Path Planning using Particle Swarm Optimization of Ferguson Splines. ETFA (2006)
Lenka Lhotská, Martin Macas, Miroslav Bursa
PSO and ACO in Optimization Problems. IDEAL (2006)
Martin Macas, Miroslav Bursa, Lenka Lhotská
Discrete and Continuous Aspects of Nature Inspired Methods. KES (2) (2006)