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Edyta Lukasik
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2020 – today
- 2024
- [j6]Maria Skublewska-Paszkowska
, Pawel Powroznik
Fuzzy C-Means Clustering for Motion Capture Tennis Time-Series Data. IEEE Access 12: 150975-150996 (2024) - 2023
- [c15]Maria Skublewska-Paszkowska, Pawel Karczmarek, Pawel Powroznik
Aggregation of Tennis Multivariate Time-Series Using the Choquet Integral and Its Generalizations. FUZZ 2023: 1-6 - 2022
- [c14]Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Magdalena Zawadka, Jakub Smolka, Maria Skublewska-Paszkowska, Edyta Lukasik, Pawel Powroznik, Piotr Gawda
On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data. FUZZ-IEEE 2022: 1-9 - [c13]Pawel Karczmarek, Pawel Powroznik, Maria Skublewska-Paszkowska, Slawomir Przylucki, Edyta Lukasik:
Analysis of Sub-Integral Functions in the Aggregation of Classification Results Using Generalizations of the Choquet Integral on the Example of Emotion Classification. FUZZ-IEEE 2022: 1-8 - [c12]Maria Skublewska-Paszkowska, Pawel Powroznik, Pawel Karczmarek, Edyta Lukasik:
Aggregation of Tennis Groundstrokes on the Basis of the Choquet Integral and Its Generalizations. FUZZ-IEEE 2022: 1-8 - [c11]Maria Skublewska-Paszkowska, Pawel Powroznik, Edyta Lukasik:
Attention Temporal Graph Convolutional Network for Tennis Groundstrokes Phases Classification. FUZZ-IEEE 2022: 1-8 - 2021
- [j5]Piotr Wojcicki
Estimation of the Path-Loss Exponent by Bayesian Filtering Method. Sensors 21(6): 1934 (2021) - [c10]Maria Skublewska-Paszkowska, Pawel Karczmarek, Edyta Lukasik:
Tennis Multivariate Time Series Clustering. FUZZ-IEEE 2021: 1-6 - 2020
- [j4]Maria Skublewska-Paszkowska
Learning Three Dimensional Tennis Shots Using Graph Convolutional Networks. Sensors 20(21): 6094 (2020)
2010 – 2019
- 2019
- [c9]Maria Skublewska-Paszkowska
Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data. ICMMI 2019: 146-155 - 2018
- [c8]Maria Skublewska-Paszkowska
New Automatic Algorithms for Computing Characteristics of Three Dimensional Pelvic and Lower Limb Motions in Race Walking. HSI 2018: 375-381 - [c7]Maria Skublewska-Paszkowska
Motion Capture Technology as a Tool for Quantitative Assessment of the Rehabilitation Progress of Gait by Using Soft Orthoses. HSI 2018: 384-390 - 2017
- [c6]Edyta Lukasik
Support of computer science students by practitioners from industry. EDUCON 2017: 208-212 - [c5]Edyta Lukasik
Algorithm Defining the Correctness of an Ergometer Rower's Technique Using Three-Dimensional Data. ICIST 2017: 150-163 - 2016
- [c4]Maria Skublewska-Paszkowska
Analysis of rowing based on handle trajectory. HSI 2016: 62-68 - [c3]Jakub Smolka
The rigid body gap filling algorithm. HSI 2016: 337-343 - [c2]Jerzy Montusiewicz
Analysis of Selected Elements of a Rower's Posture Using Motion Capture - a Case Study. ICIST 2016: 107-118 - 2015
- [c1]Marek Milosz
Reengineering of computer science curriculum according to technology changes and market needs. EDUCON 2015: 689-693
2000 – 2009
- 2004
- [j3]Stanislaw M. Grzegórski, Edyta Lukasik:
Superquadraticly convergent methods for minimization fonctions. Ann. UMCS Informatica 2(1): 238-241 (2004) - [j2]Stanislaw M. Grzegórski, Edyta Lukasik:
Efficiency of 2-order iterative methods. Ann. UMCS Informatica 2(1): 243-250 (2004) - 2003
- [j1]Stanislaw M. Grzegórski, Edyta Lukasik:
Newton-like method for singular 2-regular system of nonlinear equations. Ann. UMCS Informatica 1(1): 161-166 (2003)
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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