Some Methods of Replacing the Nearest Neighbor Method. - Tomasz Górecki; Maciej Luczak (Commun. Stat. Simul. Comput., 2010)

Linear discriminant analysis with a generalization of the Moore-Penrose pseudoinverse. - Tomasz Górecki; Maciej Luczak (Int. J. Appl. Math. Comput. Sci., 2013)

Using derivatives in time series classification. - Tomasz Górecki; Maciej Luczak (Data Min. Knowl. Discov., 2013)

Multivariate Functional Regression Analysis with Application to Classification Problems. - Tomasz Górecki; Miroslaw Krzysko; Waldemar Wolynski (ECDA, 2014)

First and Second Derivatives in Time Series Classification Using DTW. - Tomasz Górecki; Maciej Luczak (Commun. Stat. Simul. Comput., 2014)

Non-isometric transforms in time series classification using DTW. - Tomasz Górecki; Maciej Luczak (Knowl. Based Syst., 2014)

Using derivatives in a longest common subsequence dissimilarity measure for time series classification. - Tomasz Górecki (Pattern Recognit. Lett., 2014)

Regression Methods for Combining Multiple Classifiers. - Tomasz Górecki; Miroslaw Krzysko (Commun. Stat. Simul. Comput., 2015)

A comparison of tests for the one-way ANOVA problem for functional data. - Tomasz Górecki; Lukasz Smaga (Comput. Stat., 2015)

Multivariate time series classification with parametric derivative dynamic time warping. - Tomasz Górecki; Maciej Luczak (Expert Syst. Appl., 2015)

Evolutionarily Tuned Generalized Pseudo-Inverse in Linear Discriminant Analysis. - Tomasz Górecki; Maciej Luczak (Comput. Informatics, 2016)

Classification of time series using combination of DTW and LCSS dissimilarity measures. - Tomasz Górecki (Commun. Stat. Simul. Comput., 2018)

GEval: Tool for Debugging NLP Datasets and Models. - Filip Gralinski; Anna Wróblewska; Tomasz Stanislawek; Kamil Grabowski; Tomasz Górecki (BlackboxNLP@ACL, 2019)

fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data. - Tomasz Górecki; Lukasz Smaga (Comput. Stat., 2019)

The influence of the Sakoe-Chiba band size on time series classification. - Tomasz Górecki; Maciej Luczak (J. Intell. Fuzzy Syst., 2019)

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)

Generalization of the Procrustes coefficient to functional data. - Tomasz Górecki; Pawel Piasecki (Commun. Stat. Simul. Comput., 2020)

Dynamic Boundary Time Warping for sub-sequence matching with few examples. - Lukasz Borchmann; Dawid Jurkiewicz; Filip Gralinski; Tomasz Górecki (Expert Syst. Appl., 2021)

Using GAN to Generate Malicious Samples Suitable for Binary Classifier Training. - Slawomir Pioronski; Tomasz Górecki (IEEE Big Data, 2022)

Learning edge importance in bipartite graph-based recommendations. - Robert Kwiecinski; Tomasz Górecki; Agata Filipowska (FedCSIS, 2022)

Using gradient boosting trees to predict the costs of forwarding contracts. - Slawomir Pioronski; Tomasz Górecki (FedCSIS, 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)

Spotting Cyber Breaches in IoT Devices. - Slawomir Pioronski; Tomasz Górecki (FedCSIS, 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 (FUZZ, 2023)

Predicting Player Performance in Tactical Games with the Lightgbm Algorithm. - Slawomir Pioronski; Tomasz Górecki (ICME Workshops, 2023)

Comparison of Real-Time and Batch Job Recommendations. - Robert Kwiecinski; Grzegorz Melniczak; Tomasz Górecki (IEEE Access, 2023)

Job recommendations: benchmarking of collaborative filtering methods for classifieds. - Robert Kwiecinski; Agata Filipowska; Tomasz Górecki; Viacheslav Dubrov (CoRR, 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, 2023)

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 (FUZZ, 2024)

Innovative Sales Forecasting: Utilizing Fuzzy Neural Networks for Enhanced Sales Prediction. - Marcin Bartkowiak; Piotr Cyplik; Tomasz Górecki; Adam Karolewski (ISD, 2024)

Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques. - Michal Zareba; Tomasz Pilka; Tomasz Górecki; Bartlomiej Grzelak; Krzysztof Dyczkowski (ISD, 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)

Advanced Vision Techniques in Soccer Match Analysis: From Detection to Classification. - Jakub Eichner; Jan Nowak; Bartlomiej Grzelak; Tomasz Górecki; Tomasz Pilka; Krzysztof Dyczkowski (VISIGRAPP (3): VISAPP, 2025)