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Marek Lóderer
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2010 – 2019
- 2019
- [j2]Peter Laurinec, Marek Lóderer, Mária Lucká, Viera Rozinajová:
Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption. J. Intell. Inf. Syst. 53(2): 219-239 (2019) - [c7]Matús Cuper, Marek Lóderer, Viera Rozinajová:
Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis. IDEAL (1) 2019: 464-475 - 2018
- [c6]Marek Lóderer, Peter Pavlík, Viera Rozinajová:
Improving Time Series Prediction via Modification of Dynamic Weighted Majority in Ensemble Learning. IDEAL (1) 2018: 651-660 - 2016
- [j1]Anna Bou Ezzeddine, Marek Lóderer, Peter Laurinec, Petra Vrablecová, Viera Rozinajová, Mária Lucká, Peter Lacko, Gabriela Grmanová:
Using biologically inspired computing to effectively improve prediction models. Int. J. Hybrid Intell. Syst. 13(2): 99-112 (2016) - [c5]Peter Laurinec, Marek Lóderer, Petra Vrablecová, Mária Lucká, Viera Rozinajová, Anna Bou Ezzeddine:
Adaptive Time Series Forecasting of Energy Consumption Using Optimized Cluster Analysis. ICDM Workshops 2016: 398-405 - [c4]Milos Oravec, Jarmila Pavlovicova, Dominik Sopiak, Vojtech Jirka, Marek Lóderer, Lubos Lehota, Marek Vodicka, Matej Fackovec, Matej Mihalik, Martin Tomik, Jozef Gerat:
Mobile ear recognition application. IWSSIP 2016: 1-4 - 2015
- [c3]Marek Lóderer, Jarmila Pavlovicova, Milos Oravec, Jan Mazanec:
Face parts importance in face and expression recognition. IWSSIP 2015: 188-191 - [c2]Gabriela Grmanová, Viera Rozinajová, Anna Bou Ezzeddine, Mária Lucká, Peter Lacko, Marek Lóderer, Petra Vrablecová, Peter Laurinec:
Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning. NaBIC 2015: 235-246 - 2014
- [c1]Marek Lóderer, Jarmila Pavlovicova, Matej Feder, Milos Oravec:
Data dimension reduction in training strategy for face recognition system. IWSSIP 2014: 263-266
Coauthor Index
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