Martin Macas

According to our database, Martin Macas authored at least 36 papers between 2006 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Ensemble methods in combination with compartment models for blood glucose level prediction in type 1 diabetes mellitus.

Kyriaki Saiti, Martin Macas, Lenka Lhotská, Katerina Stechová, Pavlína Pithová

Comput. Methods Programs Biomed., 2020

Direct Versus Iterated Multi-Step Forecasting of Glycaemia in Type 1 Diabetics Using Autoregressive Models.

Martin Macas, Kyriaki Saiti, Lenka Lhotská, Katerina Stechová, Pavlína Pithová

Proceedings of the pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2020

2019

Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances.

Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská

Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification.

Nela Grimová, Martin Macas

Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

2018

Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier.

Elizaveta Saifutdinová, Daniela Urbaczka Dudysova, Lenka Lhotská, Václav Gerla, Martin Macas

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO.

Iva Milerská, Lenka Lhotská, Martin Macas

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments.

Martin Macas, Nela Grimová, Václav Gerla, Lenka Lhotská, Elizaveta Saifutdinová

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification.

Nela Grimová, Martin Macas, Václav Gerla

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Expert-in-the-loop Learning for Sleep EEG Data.

Václav Gerla, Václav Kremen, Martin Macas, Elizaveta Saifutdinová, Arnost Mládek, Lenka Lhotská

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Deep neural network based body posture recognitions and fall detection from low resolution infrared array sensor.

Jindrich Adolf, Martin Macas, Lenka Lhotská, Jaromir Dolezal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas.

Kyriaki Saiti, Martin Macas, Katerina Stechová, Pavlína Pithová, Lenka Lhotská

Proceedings of the Information Technology in Bio- and Medical Informatics, 2017

Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values.

Martin Macas, Lenka Lhotská, Katerina Stechová, Pavlína Pithová, Kyriaki Saiti

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016

Sensitivity based selection of inputs and delays for NARX models.

Martin Macas, Fabio Moretti

EAI Endorsed Trans. Self Adapt. Syst., 2016

Importance and Quality of Eating Related Photos in Diabetics.

Kyriaki Saiti, Martin Macas, Lenka Lhotská

Proceedings of the Information Technology in Bio- and Medical Informatics, 2016

Adaptive Segmentation Optimization for Sleep Spindle Detector.

Elizaveta Saifutdinová, Martin Macas, Václav Gerla, Lenka Lhotská

Proceedings of the Information Technology in Bio- and Medical Informatics, 2016

2015

Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification.

Sankho Turjo Sarkar, Amol P. Bhondekar, Martin Macas, Ritesh Kumar, Rishemjit Kaur, Anupma Sharma, Ashu Gulati, Amod Kumar

Neural Networks, 2015

Innovative default prediction approach.

Július Bems, Oldrich Starý, Martin Macas, Jan Zegklitz, Petr Posík

Expert Syst. Appl., 2015

Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating.

Petr Kadera, Martin Macas

Proceedings of the Industrial Applications of Holonic and Multi-Agent Systems, 2015

2014

Binary social impact theory based optimization and its applications in pattern recognition.

Martin Macas, Amol P. Bhondekar, Ritesh Kumar, Rishemjit Kaur, Jakub Kuzilek, Václav Gerla, Lenka Lhotská, Pawan Kapur

Neurocomputing, 2014

Sensitivity Based Feature Selection for Recurrent Neural Network Applied to Forecasting of Heating Gas Consumption.

Martin Macas, Fiorella Lauro, Fabio Moretti, Stefano Pizzuti, Mauro Annunziato, Alessandro Fonti, Gabriele Comodi, Andrea Giantomassi

Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort.

Martin Macas, Fabio Moretti, Fiorella Lauro, Stefano Pizzuti, Mauro Annunziato, Alessandro Fonti, Gabriele Comodi, Andrea Giantomassi

Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

2013

Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices.

Martin Macas, Lenka Lhotská

Proceedings of the IEEE International Conference on Systems, 2013

Hidden Markov models for analysis of eye movements of dyslexic children.

Martin Macas, Lenka Lhotská, Daniel Novák

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012

Wrapper feature selection for small sample size data driven by complete error estimates.

Martin Macas, Lenka Lhotská, Eduard Bakstein, Daniel Novák, Jirí Wild, Tomás Sieger, Pavel Vostatek, Robert Jech

Comput. Methods Programs Biomed., 2012

Correlation-Based Neural Gas for Visualizing Correlations between EEG Features.

Karla Stépánová, Martin Macas, Lenka Lhotská

Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection.

Martin Macas, Václav Gerla, Lenka Lhotská

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

2011

Simplified Social Impact Theory Based Optimizer in Feature Subset Selection.

Martin Macas, Lenka Lhotská

Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2011

Optimizers derived from human opinion formation.

Martin Macas, Lenka Lhotská

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

2007

Social Impact based Approach to Feature Subset Selection.

Martin Macas, Lenka Lhotská, Václav Kremen

Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

Particle Swarm Optimisation of Multiple Classifier Systems.

Martin Macas, Bogdan Gabrys, Dymitr Ruta, Lenka Lhotská

Proceedings of the Computational and Ambient Intelligence, 2007

Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation.

Miroslav Bursa, Lenka Lhotská, Martin Macas

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Social Impact Theory Based Optimizer.

Martin Macas, Lenka Lhotská

Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006

Discrete and Continuous Aspects of Nature Inspired Methods.

Martin Macas, Miroslav Bursa, Lenka Lhotská

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Constraints in Particle Swarm Optimization of Hidden Markov Models.

Martin Macas, Daniel Novák, Lenka Lhotská

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

PSO and ACO in Optimization Problems.

Lenka Lhotská, Martin Macas, Miroslav Bursa

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Robot Path Planning using Particle Swarm Optimization of Ferguson Splines.

Martin Saska, Martin Macas, Libor Preucil, Lenka Lhotská

Proceedings of 11th IEEE International Conference on Emerging Technologies and Factory Automation, 2006