Multi-class region growing algorithm. - Jakub Smolka (Ann. UMCS Informatica, 2003)

Multi-class 3D region growing algorithm. - Jakub Smolka (Ann. UMCS Informatica, 2004)

Watershed based region growing algorithm. - Jakub Smolka (Ann. UMCS Informatica, 2005)

Multilevel near optimal thresholding applied to watershed grouping. - Jakub Smolka (Ann. UMCS Informatica, 2006)

Hierarchical cluster analysis methods applied to image segmentation by watershed merging. - Jakub Smolka (Ann. UMCS Informatica, 2007)

The Influence of Picture Quality Scale Measure on Choosing the Wavelet Transform during Image Compression. - Maria Skublewska-Paszkowska; Jakub Smolka (ICCVG, 2008)

Implementation of perceptual measure Picture Quality Scale with neural network to evaluate distortions in compressed images. - Maria Skublewska-Paszkowska; Jakub Smolka (Ann. UMCS Informatica, 2008)

Watershed merging method for color images. - Jakub Smolka; Maria Skublewska-Paszkowska (Ann. UMCS Informatica, 2008)

Comparison of Hierarchical Cluster Analysis Methods Applied to Image Segmentation by Watershed Merging. - Jakub Smolka; Maria Skublewska-Paszkowska (Computer Recognition Systems 2, 2008)

TOPQS Color Local Visual Distortion Maps. - Maria Skublewska-Paszkowska; Jakub Smolka (IP&C, 2011)

Semi-automatic watershed merging method. - Jakub Smolka; Maria Skublewska-Paszkowska (Ann. UMCS Informatica, 2013)

The rigid body gap filling algorithm. - Jakub Smolka; Edyta Lukasik (HSI, 2016)

A method for collision detection using mobile devices. - Jakub Smolka; Maria Skublewska-Paszkowska (HSI, 2016)

Analysis of Selected Elements of a Rower's Posture Using Motion Capture - a Case Study. - Jerzy Montusiewicz; Jakub Smolka; Maria Skublewska-Paszkowska; Edyta Lukasik; Katarzyna R. Baran; Izabela Pszczola-Pasierbiewicz (ICIST, 2016)

Enhancement of IT student projects using 3D technology. - Maria Skublewska-Paszkowska; Jakub Smolka (EDUCON, 2017)

Algorithm Defining the Correctness of an Ergometer Rower's Technique Using Three-Dimensional Data. - Edyta Lukasik; Jakub Smolka; Jerzy Montusiewicz (ICIST, 2017)

Mobile Application Using Embedded Sensors as a Three Dimensional Motion Registration Method. - Maria Skublewska-Paszkowska; Jakub Smolka; Michal Liwiak; Adrian Mroz (ICMMI, 2017)

New Automatic Algorithms for Computing Characteristics of Three Dimensional Pelvic and Lower Limb Motions in Race Walking. - Maria Skublewska-Paszkowska; Edyta Lukasik; Jakub Smolka; Monika Nawrocka (HSI, 2018)

Motion Capture Technology as a Tool for Quantitative Assessment of the Rehabilitation Progress of Gait by Using Soft Orthoses. - Maria Skublewska-Paszkowska; Edyta Lukasik; Marek Milosz; Jakub Smolka; Jaroslaw Napiorkowski; Jolanta Taczala; Agnieszka Zdzienicka-Chyla; Anna Kosiecz (HSI, 2018)

Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data. - Maria Skublewska-Paszkowska; Edyta Lukasik; Bartlomiej Szydlowski; Jakub Smolka; Pawel Powroznik (ICMMI, 2019)

On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data. - Michal Dolecki; Pawel Karczmarek; Lukasz Galka; Magdalena Zawadka; Jakub Smolka; Maria Skublewska-Paszkowska; Edyta Lukasik; Pawel Powroznik; Piotr Gawda; Dariusz Czerwinski (FUZZ-IEEE, 2022)

Aggregation of Tennis Multivariate Time-Series Using the Choquet Integral and Its Generalizations. - Maria Skublewska-Paszkowska; Pawel Karczmarek; Pawel Powroznik; Edyta Lukasik; Jakub Smolka; Michal Dolecki (FUZZ, 2023)

Fuzzy C-Means Clustering for Motion Capture Tennis Time-Series Data. - Maria Skublewska-Paszkowska; Pawel Powroznik; Pawel Karczmarek; Edyta Lukasik; Jakub Smolka (IEEE Access, 2024)