Grzegorz Stepien

According to our database, Grzegorz Stepien authored at least 9 papers between 2014 and 2026.

Collaborative distances:

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

2026

PAST - perceptron as similarity transformation: A machine learning approach for 3D coordinate frame alignment.

Grzegorz Stepien, Jakub Sledziowski, Karol Kabala, Arkadiusz Tomczak

SoftwareX, 2026

2025

GeoPOINT - synthetic point generator for geospatial applications.

Grzegorz Stepien, Karol Kabala, Jakub Sledziowski

SoftwareX, 2025

2023

CCMORPH - Coastal Cliffs Morphology Analysis Toolbox.

Andrzej Lysko, Witold Macków, Pawel Forczmanski, Pawel Terefenko, Andrzej Giza, Jakub Sledziowski, Grzegorz Stepien, Arkadiusz Tomczak

SoftwareX, May, 2023

2022

Application of Unmanned Aerial Vehicles and Image Processing Techniques in Monitoring Underwater Coastal Protection Measures.

Jakub Sledziowski, Pawel Terefenko, Andrzej Giza, Pawel Forczmanski, Andrzej Lysko, Witold Macków, Grzegorz Stepien, Arkadiusz Tomczak, Apoloniusz Kurylczyk

Remote. Sens., 2022

2020

Dimensioning Method of Floating Offshore Objects by Means of Quasi-Similarity Transformation with Reduced Tolerance Errors.

Grzegorz Stepien, Arkadiusz Tomczak, Martin Loosaar, Tomasz Ziebka

Sensors, 2020

2018

Method of the Determination of Exterior Orientation of Sensors in Hilbert Type Space.

Grzegorz Stepien

Sensors, 2018

2016

A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs.

Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle

Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

Normalized Semantic Web Distance.

Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, Rik Van de Walle

Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

2014

PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce.

Sergej Fries, Brigitte Boden, Grzegorz Stepien, Thomas Seidl

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014