Marek Bundzel

According to our database, Marek Bundzel authored at least 10 papers between 2006 and 2020.

Collaborative distances:

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

2020

The Rehapiano - Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges.

Norbert Ferencík, Miroslav Jascur, Marek Bundzel, Filippo Cavallo

Sensors, 2020

Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology.

Marek Bundzel, Miroslav Jascur, Milan Kovác, Tibor Lieskovský, Peter Sincák, Tomás Tkácik

Remote. Sens., 2020

2019

Proof of Concept: Using Reinforcement Learning agent as an adversary in Serious Games.

Dominik Hornak, Miroslav Jascur, Norbert Ferencík, Marek Bundzel

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019

2016

Artificial Intelligence Aggregating Opinions of a Group of People.

Marek Bundzel, Jozef Lacko, Iveta Zolotová, Tomás Kasanický, Jan Zelenka

Comput. Informatics, 2016

2015

Industry IoT Gateway for Cloud Connectivity.

Iveta Zolotová, Marek Bundzel, Tomás Lojka

Proceedings of the Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 2015

2013

Experimental Analysis of the Prediction Model Based on String Invariants.

Marek Bundzel, Tomás Kasanický, Richard Pincak

Comput. Informatics, 2013

2010

Object Identification in Dynamic Images Based on the Memory-Prediction Theory of Brain Function.

Marek Bundzel, Shuji Hashimoto

J. Intell. Learn. Syst. Appl., 2010

2008

Ensembling Classifiers Using Unsupervised Learning.

Marek Bundzel, Peter Sincak

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006

Building Support Vector Machine Alternative Using Algorithms of Computational Geometry.

Marek Bundzel, Tomás Kasanický, Baltazár Frankovic

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines.

Marek Bundzel, Peter Sincak

Proceedings of the International Joint Conference on Neural Networks, 2006