Marcin Bator
Orcid: 0000-0002-6881-3695
According to our database1,
Marcin Bator
authored at least 11 papers
between 2008 and 2021.
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Bibliography
2021
On-the-fly Estimation of Task Difficulty for Item-based Adaptive Online Learning Environments.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021
2020
Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.
Entropy, 2020
2015
Heuristic Assessment of Parameters of the Local Ground Approximation from Terrestrial LIDAR Data.
Proceedings of the Image and Video Technology - PSIVT 2015 Workshops, 2015
Where Is the Ground? Quality Measures for the Planar Digital Terrain Model in Terrestrial Laser Scanning.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
Advantages of Using Object-Specific Knowledge at an Early Processing Stage in the Detection of Trees in LIDAR Data.
Proceedings of the Computer Vision and Graphics - International Conference, 2014
2012
Detection of Cancerous Masses in Mammograms by Template Matching: Optimization of Template Brightness Distribution by Means of Evolutionary Algorithm.
J. Digit. Imaging, 2012
Application of Evolutionary Algorithm for Optimization of the Sequence of Initial Conditions for the Cellular Automaton-Based Shading.
J. Cell. Autom., 2012
Hough Transform for Opaque Circles Measured from Outside and Fuzzy Voting For and Against.
Proceedings of the Computer Vision and Graphics - International Conference, 2012
2010
Fuzzy Hough Transform-Based Methods for Extraction and Measurements of Single Trees in Large-Volume 3D Terrestrial LIDAR Data.
Proceedings of the Computer Vision and Graphics - International Conference, 2010
2009
Finding regions of interest for cancerous masses enhanced by elimination of linear structures and considerations on detection correctness measures in mammography.
Pattern Anal. Appl., 2009
2008
Elimination of Linear Structures as an Attempt to Improve the Specificity of Cancerous Mass Detection in Mammograms.
Proceedings of the Computer Recognition Systems 2, 2008