Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines. - Marek Bundzel; Peter Sincak (IJCNN, 2006)

Building Support Vector Machine Alternative Using Algorithms of Computational Geometry. - Marek Bundzel; Tomás Kasanický; Baltazár Frankovic (ISNN (1), 2006)

Ensembling Classifiers Using Unsupervised Learning. - Marek Bundzel; Peter Sincak (ICAISC, 2008)

Object Identification in Dynamic Images Based on the Memory-Prediction Theory of Brain Function. - Marek Bundzel; Shuji Hashimoto (J. Intell. Learn. Syst. Appl., 2010)

Experimental Analysis of the Prediction Model Based on String Invariants. - Marek Bundzel; Tomás Kasanický; Richard Pincak (Comput. Informatics, 2013)

Industry IoT Gateway for Cloud Connectivity. - Iveta Zolotová; Marek Bundzel; Tomás Lojka (APMS (2), 2015)

Artificial Intelligence Aggregating Opinions of a Group of People. - Marek Bundzel; Jozef Lacko; Iveta Zolotová; Tomás Kasanický; Jan Zelenka (Comput. Informatics, 2016)

Proof of Concept: Using Reinforcement Learning agent as an adversary in Serious Games. - Dominik Hornak; Miroslav Jascur; Norbert Ferencík; Marek Bundzel (IWOBI, 2019)

Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology. - Marek Bundzel; Miroslav Jascur; Milan Kovác; Tibor Lieskovský; Peter Sincák; Tomás Tkácik (Remote. Sens., 2020)

The Rehapiano - Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges. - Norbert Ferencík; Miroslav Jascur; Marek Bundzel; Filippo Cavallo (Sensors, 2020)