Marek Lóderer

According to our database, Marek Lóderer authored at least 9 papers between 2014 and 2019.

Collaborative distances:

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

2019

Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption.

Peter Laurinec, Marek Lóderer, Mária Lucká, Viera Rozinajová

J. Intell. Inf. Syst., 2019

Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis.

Matús Cuper, Marek Lóderer, Viera Rozinajová

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018

Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning.

Marek Lóderer, Peter Pavlík, Viera Rozinajová

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2016

Using biologically inspired computing to effectively improve prediction models.

Anna Bou Ezzeddine, Marek Lóderer, Peter Laurinec, Petra Vrablecová, Viera Rozinajová, Mária Lucká, Peter Lacko, Gabriela Grmanová

Int. J. Hybrid Intell. Syst., 2016

Mobile ear recognition application.

Milos Oravec, Jarmila Pavlovicova, Dominik Sopiak, Vojtech Jirka, Marek Lóderer, Lubos Lehota, Marek Vodicka, Matej Fackovec, Matej Mihalik, Martin Tomik, Jozef Gerat

Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis.

Peter Laurinec, Marek Lóderer, Petra Vrablecová, Mária Lucká, Viera Rozinajová, Anna Bou Ezzeddine

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning.

Gabriela Grmanová, Viera Rozinajová, Anna Bou Ezzeddine, Mária Lucká, Peter Lacko, Marek Lóderer, Petra Vrablecová, Peter Laurinec

Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Face parts importance in face and expression recognition.

Marek Lóderer, Jarmila Pavlovicova, Milos Oravec, Jan Mazanec

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

2014

Data dimension reduction in training strategy for face recognition system.

Marek Lóderer, Jarmila Pavlovicova, Matej Feder, Milos Oravec

Proceedings of the International Conference on Systems, Signals and Image Processing, 2014