Short Term Electricity Forecasting Using Individual Smart Meter Data. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (KES, 2014)

Blind Source Separation for Improved Load Forecasting on Individual Household Level. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Ryszard Szupiluk (CORES, 2015)

Grade analysis for energy usage patterns segmentation based on smart meter data. - Tomasz S. Zabkowski; Krzysztof Gajowniczek; Ryszard Szupiluk (CYBCONF, 2015)

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Arkadiusz Orlowski (FedCSIS, 2015)

Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks. - Ryszard Szupiluk; Tomasz S. Zabkowski; Krzysztof Gajowniczek (ICAISC, 2015)

Short term electricity forecasting based on user behavior from individual smart meter data. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (J. Intell. Fuzzy Syst., 2016)

Electricity peak demand classification with artificial neural networks. - Krzysztof Gajowniczek; Rafik Nafkha; Tomasz S. Zabkowski (FedCSIS, 2017)

Generalized Entropy Cost Function in Neural Networks. - Krzysztof Gajowniczek; Leszek J. Chmielewski; Arkadiusz Orlowski; Tomasz S. Zabkowski (ICANN (2), 2017)

Grade Analysis for households segmentation based on energy usage patterns. - Tomasz S. Zabkowski; Krzysztof Gajowniczek (INISTA, 2017)

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (Complex., 2018)

Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks. - Krzysztof Gajowniczek; Arkadiusz Orlowski; Tomasz S. Zabkowski (Entropy, 2018)

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods. - Krzysztof Gajowniczek; Iga Grzegorczyk; Tomasz S. Zabkowski (Sensors, 2019)

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (EANN, 2020)

Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption. - Krzysztof Gajowniczek; Marcin Bator; Tomasz S. Zabkowski (Entropy, 2020)

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. - Krzysztof Gajowniczek; Yitao Liang; Tal Friedman; Tomasz S. Zabkowski; Guy Van den Broeck (Entropy, 2020)

Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case. - Michal Gostkowski; Krzysztof Gajowniczek (Entropy, 2020)

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers. - Rafik Nafkha; Tomasz S. Zabkowski; Krzysztof Gajowniczek (ICCS (4), 2021)

ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (SoftwareX, 2021)

ImbTreeEntropy: An R package for building entropy-based classification trees on imbalanced datasets. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (SoftwareX, 2021)

Machine Learning for Energy Load Prediction and its Interpretation. - Malgorzata Charytanowicz; Anna Olwert; Weronika Radziszewska; Jolanta Jarnicka; Krzysztof Gajowniczek; Tomasz S. Zabkowski; Jacek Brozyna; Grzegorz Mentel; Grzegorz Matejko (IS, 2022)

HOFS: Higher order mutual information approximation for feature selection in R. - Krzysztof Gajowniczek; Jialin Wu; Soumyajit Gupta; Chandrajit Bajaj (SoftwareX, 2022)

Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat. - Maciej Nasinski; Krzysztof Gajowniczek (SoftwareX, 2023)

LMR: A software for modeling and reverse optimization of straight-core lossy mode resonance (LMR) based sensors. - Michal Szymanski; Kamil Kosiel; Roman Huk; Krzysztof Gajowniczek (Expert Syst. Appl., 2024)

GradeStat: An R package for grade correspondence analysis. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Artur Krupa; Wieslaw Szczesny (SoftwareX, 2024)