Robot Path Planning using Particle Swarm Optimization of Ferguson Splines. - Martin Saska; Martin Macas; Libor Preucil; Lenka Lhotská (ETFA, 2006)

PSO and ACO in Optimization Problems. - Lenka Lhotská; Martin Macas; Miroslav Bursa (IDEAL, 2006)

Constraints in Particle Swarm Optimization of Hidden Markov Models. - Martin Macas; Daniel Novák; Lenka Lhotská (IDEAL, 2006)

Discrete and Continuous Aspects of Nature Inspired Methods. - Martin Macas; Miroslav Bursa; Lenka Lhotská (KES (2), 2006)

Social Impact Theory Based Optimizer. - Martin Macas; Lenka Lhotská (ECAL, 2007)

Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation. - Miroslav Bursa; Lenka Lhotská; Martin Macas (HIS, 2007)

Particle Swarm Optimisation of Multiple Classifier Systems. - Martin Macas; Bogdan Gabrys; Dymitr Ruta; Lenka Lhotská (IWANN, 2007)

Social Impact based Approach to Feature Subset Selection. - Martin Macas; Lenka Lhotská; Václav Kremen (NICSO, 2007)

Optimizers derived from human opinion formation. - Martin Macas; Lenka Lhotská (NaBIC, 2011)

Simplified Social Impact Theory Based Optimizer in Feature Subset Selection. - Martin Macas; Lenka Lhotská (NICSO, 2011)

Automatic Neonatal Sleep EEG Recognition with Social Impact Based Feature Selection. - Martin Macas; Václav Gerla; Lenka Lhotská (SOCO, 2012)

Correlation-Based Neural Gas for Visualizing Correlations between EEG Features. - Karla Stépánová; Martin Macas; Lenka Lhotská (CISIS/ICEUTE/SOCO Special Sessions, 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)

Hidden Markov models for analysis of eye movements of dyslexic children. - Martin Macas; Lenka Lhotská; Daniel Novák (DSP, 2013)

Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices. - Martin Macas; Lenka Lhotská (SMC, 2013)

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 (ICAIS, 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 (SOCO-CISIS-ICEUTE, 2014)

Binary social impact theory based optimization and its applications in pattern recognition. - Martin Macas; Amol P. Bhondekar; Ritesh Kumar 001; Rishemjit Kaur; Jakub Kuzilek; Václav Gerla; Lenka Lhotská; Pawan Kapur (Neurocomputing, 2014)

Applying Agents and Genetic Algorithms for Reducing Peak Consumption in District Heating. - Petr Kadera; Martin Macas (HoloMAS, 2015)

Innovative default prediction approach. - Július Bems; Oldrich Starý; Martin Macas; Jan Zegklitz; Petr Posík (Expert Syst. Appl., 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 001; Rishemjit Kaur; Anupma Sharma; Ashu Gulati; Amod Kumar (Neural Networks, 2015)

Adaptive Segmentation Optimization for Sleep Spindle Detector. - Elizaveta Saifutdinová; Martin Macas; Václav Gerla; Lenka Lhotská (ITBAM, 2016)

Importance and Quality of Eating Related Photos in Diabetics. - Kyriaki Saiti; Martin Macas; Lenka Lhotská (ITBAM, 2016)

Sensitivity based selection of inputs and delays for NARX models. - Martin Macas; Fabio Moretti (EAI Endorsed Trans. Self Adapt. Syst., 2016)

Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values. - Martin Macas; Lenka Lhotská; Katerina Stechová; Pavlína Pithová; Kyriaki Saiti (CYBCONF, 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 (ITBAM, 2017)

Deep neural network based body posture recognitions and fall detection from low resolution infrared array sensor. - Jindrich Adolf; Martin Macas; Lenka Lhotská; Jaromir Dolezal (BIBM, 2018)

Expert-in-the-loop Learning for Sleep EEG Data. - Václav Gerla; Václav Kremen; Martin Macas; Elizaveta Saifutdinová; Arnost Mládek; Lenka Lhotská (BIBM, 2018)

Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. - Nela Grimová; Martin Macas; Václav Gerla (BIBM, 2018)

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. - Martin Macas; Nela Grimová; Václav Gerla; Lenka Lhotská; Elizaveta Saifutdinová (BIBM, 2018)

Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. - Iva Milerská; Lenka Lhotská; Martin Macas (BIBM, 2018)

Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. - Elizaveta Saifutdinová; Daniela Urbaczka Dudysova; Lenka Lhotská; Václav Gerla; Martin Macas (BIBM, 2018)

Query-By-Committee Framework Used for Semi-Automatic Sleep Stages Classification. - Nela Grimová; Martin Macas (UCAmI, 2019)

Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances. - Martin Macas; Nela Grimová; Václav Gerla; Lenka Lhotská (UCAmI, 2019)

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 (pHealth, 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)