Sebastian Zurek

According to our database, Sebastian Zurek authored at least 10 papers between 2011 and 2024.

Collaborative distances:

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

2024

pRR30, pRR3.25% and Asymmetrical Entropy Descriptors in Atrial Fibrillation Detection.

Bartosz Biczuk, Szymon Bus, Sebastian Zurek, Jaroslaw Piskorski, Przemyslaw Guzik

Entropy, April, 2024

2022

Associations between heart rate asymmetry expression and asymmetric detrended fluctuation analysis results.

Jaroslaw Piskorski, Marcin Kosmider, Dawid Mieszkowski, Sebastian Zurek, Bartosz Biczuk, Szymon Jurga, Tomasz Krauze, Andrzj Wykretowicz, Przemyslaw Guzik

Medical Biol. Eng. Comput., 2022

2020

Relative Consistency of Sample Entropy Is Not Preserved in MIX Processes.

Sebastian Zurek, Waldemar Grabowski, Klaudia Wojtiuk, Dorota Szewczak, Przemyslaw Guzik, Jaroslaw Piskorski

Entropy, 2020

2017

Learning modular and transferable forward models of the motions of push manipulated objects.

Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Mörwald, Jeremy L. Wyatt

Auton. Robots, 2017

2014

Kinematically optimised predictions of object motion.

Dominik Belter, Marek Sewer Kopicki, Sebastian Zurek, Jeremy L. Wyatt

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Object Categorization from Range Images Using a Hierarchical Compositional Representation.

Vladislav Kramarev, Sebastian Zurek, Jeremy L. Wyatt, Ales Leonardis

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Assessing Sample Entropy of physiological signals by the norm component matrix algorithm: Application on muscular signals during isometric contraction.

Paolo Castiglioni, Sebastian Zurek, Jaroslaw Piskorski, Marcin Kosmider, Przemyslaw Guzik, Emiliano Ce, Susanna Rampichini, Giampiero Merati

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011

Genetic algorithm with peaks adaptive objective function used to fit the EPR powder spectrum.

Sebastian Grzegorz Zurek

Appl. Soft Comput., 2011

Predicting the unobservable Visual 3D tracking with a probabilistic motion model.

Thomas Morwald, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt, Sebastian Zurek, Michael Zillich, Markus Vincze

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Learning to predict how rigid objects behave under simple manipulation.

Marek Sewer Kopicki, Sebastian Zurek, Rustam Stolkin, Thomas Morwald, Jeremy L. Wyatt

Proceedings of the IEEE International Conference on Robotics and Automation, 2011