Pawel Powroznik

According to our database, Pawel Powroznik authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

LLM-Based Modeling of 3D Joint Kinematics of the Polonaise Folk Dance for Motion-to-Text Generation for User-Feedback Capabilities.

E. S. Wójcik, M. Alencynowicz, Maria Skublewska-Paszkowska, Pawel Powroznik, Marcin Barszcz, Krzysztof Dziedzic

Comput. Animat. Virtual Worlds, 2026

Eye-Tracking in Virtual Reality: Usability Assessment of a Regional Heritage Museum.

M. Migryt, S. Mikolajczuk, Marcin Barszcz, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Pawel Powroznik, Sylwester Korga

Comput. Animat. Virtual Worlds, 2026

2025

Explainable Multimodal Hybrid Vision Transformers for Emotional Speech Recognition.

Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz, Kinga Chwaleba, Weronika Wach, Vimala Nunavath

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral.

Pawel Karczmarek, Adam Gregosiewicz, Zbigniew A. Lagodowski, Michal Dolecki, Lukasz Galka, Pawel Powroznik, Witold Pedrycz, Kamil Jonak

Fuzzy Sets Syst., 2024

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

2023

Temporal Pattern Attention for Multivariate Time Series of Tennis Strokes Classification.

Maria Skublewska-Paszkowska, Pawel Powroznik

Sensors, March, 2023

3D scanning digital models for virtual museums.

Marcin Barszcz, Krzysztof Dziedzic, Maria Skublewska-Paszkowska, Pawel Powroznik

Comput. Animat. Virtual Worlds, 2023

Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems.

Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Zbigniew A. Lagodowski, Adam Gregosiewicz, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski, Kamil Jonak

IEEE Access, 2023

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

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Attention Temporal Graph Convolutional Network for Tennis Groundstrokes Phases Classification.

Maria Skublewska-Paszkowska, Pawel Powroznik, Edyta Lukasik

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Aggregation of Tennis Groundstrokes on the Basis of the Choquet Integral and Its Generalizations.

Maria Skublewska-Paszkowska, Pawel Powroznik, Pawel Karczmarek, Edyta Lukasik

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Analysis of Sub-Integral Functions in the Aggregation of Classification Results Using Generalizations of the Choquet Integral on the Example of Emotion Classification.

Pawel Karczmarek, Pawel Powroznik, Maria Skublewska-Paszkowska, Slawomir Przylucki, Edyta Lukasik

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Quadrature-Inspired Generalized Choquet Integral.

Pawel Karczmarek, Michal Dolecki, Pawel Powroznik, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

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

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Scalogram as a Representation of Emotional Speech.

Pawel Powroznik, Piotr Wojcicki, Slawomir Przylucki

IEEE Access, 2021

A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data.

Adam Kiersztyn, Rafal Lopucki, Krystyna Kiersztyn, Pawel Karczmarek, Pawel Powroznik, Dariusz Czerwinski, Witold Pedrycz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Learning Three Dimensional Tennis Shots Using Graph Convolutional Networks.

Maria Skublewska-Paszkowska, Pawel Powroznik, Edyta Lukasik

Sensors, 2020

2019

Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data.

Maria Skublewska-Paszkowska, Edyta Lukasik, Bartlomiej Szydlowski, Jakub Smolka, Pawel Powroznik

Proceedings of the Man-Machine Interactions 6, 2019