Martin Macas

发表

Optimizers derived from human opinion formation

Lenka Lhotská, Martin Macas, L. Lhotská, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

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

Fiorella Lauro, Gabriele Comodi, Andrea Giantomassi, 2014, ICAIS.

Correlation-Based Neural Gas for Visualizing Correlations between EEG Features

Lenka Lhotská, Martin Macas, Karla Stépánová, 2012, CISIS/ICEUTE/SOCO Special Sessions.

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Rishemjit Kaur, Ritesh Kumar, Amol P. Bhondekar, 2014, Neurocomputing.

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

Martin Macas, Petr Kadera, 2015, HoloMAS.

Sensitivity based selection of inputs and delays for NARX models

Martin Macas, Fabio Moretti, M. Macas, 2016, EAI Endorsed Trans. Self Adapt. Syst..

Active Learning for Semi-automated Sleep Scoring

Martin Macas, Vaclav Gerla, Nela Grimova, 2018 .

Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Lenka Lhotská, Martin Macas, Kyriaki Saiti, 2017, ITBAM.

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

Rishemjit Kaur, Ritesh Kumar, Amol P. Bhondekar, 2015, Neural Networks.

Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection

Lenka Lhotská, Martin Macas, Václav Gerla, 2012, SOCO.

Particle Swarm Optimisation of Multiple Classifier Systems

Lenka Lhotská, Bogdan Gabrys, Martin Macas, 2007, IWANN.

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

Fiorella Lauro, Gabriele Comodi, Andrea Giantomassi, 2014, SOCO-CISIS-ICEUTE.

Discrete and Continuous Aspects of Nature Inspired Methods

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2006, KES.

Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Robot Path Planning using Particle Swarm Optimization of Ferguson Splines

Libor Preucil, Lenka Lhotská, Martin Saska, 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

PSO and ACO in Optimization Problems

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2006, IDEAL.

Social Impact Theory Based Optimizer

Lenka Lhotská, Martin Macas, 2007, ECAL.

Camera Based Real Time Fall Detection Using Pattern Classification

Martin Macas, S. Lesoin, A. Périn, 2017, BHI 2017.

Social Impact based Approach to Feature Subset Selection

Lenka Lhotská, Martin Macas, Václav Kremen, 2007, NICSO.

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

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

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

Martin Macas, Václav Gerla, Nela Grimova, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values

Lenka Lhotská, Martin Macas, Kyriaki Saiti, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO

Lenka Lhotská, Martin Macas, Iva Milerska, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Innovative default prediction approach

Martin Macas, Petr Posík, Jan Zegklitz, 2015, Expert Syst. Appl..

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

Lenka Lhotská, Martin Macas, Robert Jech, 2012, Comput. Methods Programs Biomed..

Constraints in Particle Swarm Optimization of Hidden Markov Models

Lenka Lhotská, Martin Macas, Daniel Novák, 2006, IDEAL.

Hidden Markov models for analysis of eye movements of dyslexic children

Lenka Lhotská, Martin Macas, Daniel Novák, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Simplified Social Impact Theory Based Optimizer in Feature Subset Selection

Lenka Lhotská, Martin Macas, 2011, NICSO.

Importance and Quality of Eating Related Photos in Diabetics

Lenka Lhotská, Martin Macas, Kyriaki Saiti, 2016, ITBAM.

Variable selection for prediction of time series from smart city

Martin Macas, M. Macas, 2015, 2015 Smart Cities Symposium Prague (SCSP).

Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices

Lenka Lhotská, Martin Macas, L. Lhotská, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

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

Lenka Lhotská, Jaromir Dolezal, Martin Macas, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).