Tomasz Górecki

40 papers B 2C 3Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting football outcomes and quantifying team strengths with Bayesian modeling. Expert Syst. Appl. Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski
2026	J	`jnl`	Visual Affect Analysis: Predicting Emotions of Image Viewers with Vision-Language Models. CoRR Filip Nowicki, Hubert Marciniak, Jakub Laczkowski, Krzysztof Jassem, Tomasz Górecki, Vimala Balakrishnan, Desmond C. Ong, Maciej Behnke
2025	—	`conf`	Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification. VISIGRAPP (3): VISAPP Jakub Eichner, Jan Nowak, Bartlomiej Grzelak, Tomasz Górecki, Tomasz Pilka, Krzysztof Dyczkowski
2025	J	`jnl`	Decoding defensive performance: a machine learning approach to football player valuation. J. Big Data Michal Zareba, Tomasz Pilka, Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski
2025	—	`conf`	Gradient or Not? Predicting Football Action Sequences Using Boosting vs Neural Networks. ISD Michal Zareba, Tomasz Pilka, Tomasz Górecki
2025	—	`conf`	Leveraging GPS Data and Attention-based BiLSTM for Injury Prediction in Professional Football. ISD Aleksandra Sadurska, Michal Zareba, Tomasz Pilka, Tomasz Górecki
2025	B	`conf`	Player Position Classification with Fuzzy Clustering. PRICAI Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski
2024	J	`jnl`	An exhaustive comparison of distance measures in the classification of time series with 1NN method. J. Comput. Sci. Tomasz Górecki, Maciej Luczak, Pawel Piasecki
2024	—	`conf`	Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques. ISD Michal Zareba, Tomasz Pilka, Tomasz Górecki, Bartlomiej Grzelak, Krzysztof Dyczkowski
2024	—	`conf`	Innovative Sales Forecasting: Utilizing Fuzzy Neural Networks for Enhanced Sales Prediction. ISD Marcin Bartkowiak, Piotr Cyplik, Tomasz Górecki, Adam Karolewski
2024	—	`conf`	Sensor-Based Injury Prediction in Football Using a New Interval-Valued Fuzzy Inference Library. FUZZ Krzysztof Dyczkowski, Bartlomiej Grzelak, Tomasz Górecki, Tomasz Pilka, Aleksandra Sadurska, Barbara Pekala, Adam Lee Owen
2023	J	`jnl`	Comparison of Real-Time and Batch Job Recommendations. IEEE Access Robert Kwiecinski, Grzegorz Melniczak, Tomasz Górecki
2023	—	`conf`	Fusion of a Fuzzy Rule-Based Method and Other Decision-Making Models in Injury Prediction Problem in Football. FUZZ Aleksandra Sadurska, Tomasz Pilka, Bartlomiej Grzelak, Tomasz Górecki, Krzysztof Dyczkowski, Michal Zareba
2023	J	`jnl`	Job recommendations: benchmarking of collaborative filtering methods for classifieds. CoRR Robert Kwiecinski, Agata Filipowska, Tomasz Górecki, Viacheslav Dubrov
2023	J	`jnl`	Predicting Injuries in Football Based on Data Collected from GPS-Based Wearable Sensors. Sensors Tomasz Pilka, Bartlomiej Grzelak, Aleksandra Sadurska, Tomasz Górecki, Krzysztof Dyczkowski
2023	—	`conf`	Predicting Player Performance in Tactical Games with the Lightgbm Algorithm. ICME Workshops Slawomir Pioronski, Tomasz Górecki
2023	C	`conf`	Spotting Cyber Breaches in IoT Devices. FedCSIS Slawomir Pioronski, Tomasz Górecki
2022	C	`conf`	Learning edge importance in bipartite graph-based recommendations. FedCSIS Robert Kwiecinski, Tomasz Górecki, Agata Filipowska
2022	J	`jnl`	Speech intelligibility deterioration for normal hearing and hearing impaired patients with different types of tinnitus. Speech Commun. Marek Niewiarowicz, Andrzej Wicher, Aleksander Sek, Tomasz Górecki
2022	B	`conf`	Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training. IEEE Big Data Slawomir Pioronski, Tomasz Górecki
2022	C	`conf`	Using gradient boosting trees to predict the costs of forwarding contracts. FedCSIS Slawomir Pioronski, Tomasz Górecki
2021	J	`jnl`	Dynamic Boundary Time Warping for sub-sequence matching with few examples. Expert Syst. Appl. Lukasz Borchmann, Dawid Jurkiewicz, Filip Gralinski, Tomasz Górecki
2020	J	`jnl`	Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples. CoRR Lukasz Borchmann, Dawid Jurkiewicz, Filip Gralinski, Tomasz Górecki
2020	J	`jnl`	Generalization of the Procrustes coefficient to functional data. Commun. Stat. Simul. Comput. Tomasz Górecki, Pawel Piasecki
2020	J	`jnl`	Independence test and canonical correlation analysis based on the alignment between kernel matrices for multivariate functional data. Artif. Intell. Rev. Tomasz Górecki, Miroslaw Krzysko, Waldemar Wolynski
2019	—	`conf`	GEval: Tool for Debugging NLP Datasets and Models. BlackboxNLP@ACL Filip Gralinski, Anna Wróblewska, Tomasz Stanislawek, Kamil Grabowski, Tomasz Górecki
2019	J	`jnl`	The influence of the Sakoe-Chiba band size on time series classification. J. Intell. Fuzzy Syst. Tomasz Górecki, Maciej Luczak
2019	J	`jnl`	fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data. Comput. Stat. Tomasz Górecki, Lukasz Smaga
2018	J	`jnl`	Classification of time series using combination of DTW and LCSS dissimilarity measures. Commun. Stat. Simul. Comput. Tomasz Górecki
2016	J	`jnl`	Evolutionarily Tuned Generalized Pseudo-Inverse in Linear Discriminant Analysis. Comput. Informatics Tomasz Górecki, Maciej Luczak
2015	J	`jnl`	A comparison of tests for the one-way ANOVA problem for functional data. Comput. Stat. Tomasz Górecki, Lukasz Smaga
2015	J	`jnl`	Multivariate time series classification with parametric derivative dynamic time warping. Expert Syst. Appl. Tomasz Górecki, Maciej Luczak
2015	J	`jnl`	Regression Methods for Combining Multiple Classifiers. Commun. Stat. Simul. Comput. Tomasz Górecki, Miroslaw Krzysko
2014	J	`jnl`	First and Second Derivatives in Time Series Classification Using DTW. Commun. Stat. Simul. Comput. Tomasz Górecki, Maciej Luczak
2014	—	`conf`	Multivariate Functional Regression Analysis with Application to Classification Problems. ECDA Tomasz Górecki, Miroslaw Krzysko, Waldemar Wolynski
2014	J	`jnl`	Non-isometric transforms in time series classification using DTW. Knowl. Based Syst. Tomasz Górecki, Maciej Luczak
2014	J	`jnl`	Using derivatives in a longest common subsequence dissimilarity measure for time series classification. Pattern Recognit. Lett. Tomasz Górecki
2013	J	`jnl`	Linear discriminant analysis with a generalization of the Moore-Penrose pseudoinverse. Int. J. Appl. Math. Comput. Sci. Tomasz Górecki, Maciej Luczak
2013	J	`jnl`	Using derivatives in time series classification. Data Min. Knowl. Discov. Tomasz Górecki, Maciej Luczak
2010	J	`jnl`	Some Methods of Replacing the Nearest Neighbor Method. Commun. Stat. Simul. Comput. Tomasz Górecki, Maciej Luczak