Tomasz Górecki

According to our database, Tomasz Górecki authored at least 40 papers between 2010 and 2026.

Collaborative distances:

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

2026

Visual Affect Analysis: Predicting Emotions of Image Viewers with Vision-Language Models.

Filip Nowicki, Hubert Marciniak, Jakub Laczkowski, Krzysztof Jassem, Tomasz Górecki, Vimala Balakrishnan, Desmond C. Ong, Maciej Behnke

CoRR, February, 2026

Predicting football outcomes and quantifying team strengths with Bayesian modeling.

Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski

Expert Syst. Appl., 2026

2025

Decoding defensive performance: a machine learning approach to football player valuation.

Michal Zareba, Tomasz Pilka, Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski

J. Big Data, December, 2025

Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification.

Jakub Eichner, Jan Nowak, Bartlomiej Grzelak, Tomasz Górecki, Tomasz Pilka, Krzysztof Dyczkowski

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Player Position Classification with Fuzzy Clustering.

Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Racing Beyond the Gate: Predicting Speedway Results with Expected Points (xP).

Piotr Kaczorek, Jedrzej Slupski, Franciszek Kornobis, Michal Zareba, Tomasz Górecki, Tomasz Pilka

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2025

Gradient or Not? Predicting Football Action Sequences Using Boosting vs Neural Networks.

Michal Zareba, Tomasz Pilka, Tomasz Górecki

Proceedings of the Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation, 2025

Leveraging GPS Data and Attention-based BiLSTM for Injury Prediction in Professional Football.

Aleksandra Sadurska, Michal Zareba, Tomasz Pilka, Tomasz Górecki

Proceedings of the Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation, 2025

2024

An exhaustive comparison of distance measures in the classification of time series with 1NN method.

Tomasz Górecki, Maciej Luczak, Pawel Piasecki

J. Comput. Sci., 2024

Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques.

Michal Zareba, Tomasz Pilka, Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski

Proceedings of the Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era, 2024

Innovative Sales Forecasting: Utilizing Fuzzy Neural Networks for Enhanced Sales Prediction.

Marcin Bartkowiak, Piotr Cyplik, Tomasz Górecki, Adam Karolewski

Proceedings of the Harnessing Opportunities: Reshaping ISD in the post-COVID-19 and Generative AI Era, 2024

Sensor-Based Injury Prediction in Football Using a New Interval-Valued Fuzzy Inference Library.

Krzysztof Dyczkowski, Bartlomiej Grzelak, Tomasz Górecki, Tomasz Pilka, Aleksandra Sadurska, Barbara Pekala, Adam Lee Owen

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

Predicting Injuries in Football Based on Data Collected from GPS-Based Wearable Sensors.

Tomasz Pilka, Bartlomiej Grzelak, Aleksandra Sadurska, Tomasz Górecki, Krzysztof Dyczkowski

Sensors, February, 2023

Job recommendations: benchmarking of collaborative filtering methods for classifieds.

Robert Kwiecinski, Agata Filipowska, Tomasz Górecki, Viacheslav Dubrov

CoRR, 2023

Comparison of Real-Time and Batch Job Recommendations.

Robert Kwiecinski, Grzegorz Melniczak, Tomasz Górecki

IEEE Access, 2023

Predicting Player Performance in Tactical Games with the Lightgbm Algorithm.

Slawomir Pioronski, Tomasz Górecki

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Fusion of a Fuzzy Rule-Based Method and Other Decision-Making Models in Injury Prediction Problem in Football.

Aleksandra Sadurska, Tomasz Pilka, Bartlomiej Grzelak, Tomasz Górecki, Krzysztof Dyczkowski, Michal Zareba

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Spotting Cyber Breaches in IoT Devices.

Slawomir Pioronski, Tomasz Górecki

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Speech intelligibility deterioration for normal hearing and hearing impaired patients with different types of tinnitus.

Marek Niewiarowicz, Andrzej Wicher, Aleksander Sek, Tomasz Górecki

Speech Commun., 2022

Using gradient boosting trees to predict the costs of forwarding contracts.

Slawomir Pioronski, Tomasz Górecki

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Learning edge importance in bipartite graph-based recommendations.

Robert Kwiecinski, Tomasz Górecki, Agata Filipowska

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training.

Slawomir Pioronski, Tomasz Górecki

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Dynamic Boundary Time Warping for sub-sequence matching with few examples.

Lukasz Borchmann, Dawid Jurkiewicz, Filip Gralinski, Tomasz Górecki

Expert Syst. Appl., 2021

2020

Generalization of the Procrustes coefficient to functional data.

Tomasz Górecki, Pawel Piasecki

Commun. Stat. Simul. Comput., 2020

Independence test and canonical correlation analysis based on the alignment between kernel matrices for multivariate functional data.

Tomasz Górecki, Miroslaw Krzysko, Waldemar Wolynski

Artif. Intell. Rev., 2020

2019

The influence of the Sakoe-Chiba band size on time series classification.

Tomasz Górecki, Maciej Luczak

J. Intell. Fuzzy Syst., 2019

fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data.

Tomasz Górecki, Lukasz Smaga

Comput. Stat., 2019

GEval: Tool for Debugging NLP Datasets and Models.

Filip Gralinski, Anna Wróblewska, Tomasz Stanislawek, Kamil Grabowski, Tomasz Górecki

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

Classification of time series using combination of DTW and LCSS dissimilarity measures.

Tomasz Górecki

Commun. Stat. Simul. Comput., 2018

2016

Evolutionarily Tuned Generalized Pseudo-Inverse in Linear Discriminant Analysis.

Tomasz Górecki, Maciej Luczak

Comput. Informatics, 2016

2015

Multivariate time series classification with parametric derivative dynamic time warping.

Tomasz Górecki, Maciej Luczak

Expert Syst. Appl., 2015

A comparison of tests for the one-way ANOVA problem for functional data.

Tomasz Górecki, Lukasz Smaga

Comput. Stat., 2015

Regression Methods for Combining Multiple Classifiers.

Tomasz Górecki, Miroslaw Krzysko

Commun. Stat. Simul. Comput., 2015

2014

Using derivatives in a longest common subsequence dissimilarity measure for time series classification.

Tomasz Górecki

Pattern Recognit. Lett., 2014

Non-isometric transforms in time series classification using DTW.

Tomasz Górecki, Maciej Luczak

Knowl. Based Syst., 2014

First and Second Derivatives in Time Series Classification Using DTW.

Tomasz Górecki, Maciej Luczak

Commun. Stat. Simul. Comput., 2014

Multivariate Functional Regression Analysis with Application to Classification Problems.

Tomasz Górecki, Miroslaw Krzysko, Waldemar Wolynski

Proceedings of the Analysis of Large and Complex Data, 2014

2013

Using derivatives in time series classification.

Tomasz Górecki, Maciej Luczak

Data Min. Knowl. Discov., 2013

Linear discriminant analysis with a generalization of the Moore-Penrose pseudoinverse.

Tomasz Górecki, Maciej Luczak

Int. J. Appl. Math. Comput. Sci., 2013

2010

Some Methods of Replacing the Nearest Neighbor Method.

Tomasz Górecki, Maciej Luczak

Commun. Stat. Simul. Comput., 2010