Krzysztof Gajowniczek

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Load Forecasting

Top Venues

Publications

Michal Szymanski, Kamil Kosiel, Roman Huk, Krzysztof Gajowniczek
LMR: A software for modeling and reverse optimization of straight-core lossy mode resonance (LMR) based sensors. Expert Syst. Appl. 251 (2024)
Krzysztof Gajowniczek, Tomasz S. Zabkowski, Artur Krupa, Wieslaw Szczesny
GradeStat: An R package for grade correspondence analysis. SoftwareX 27 (2024)
Maciej Nasinski, Krzysztof Gajowniczek
Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat. SoftwareX 24 (2023)
Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19 (2022)
Malgorzata Charytanowicz, Anna Olwert, Weronika Radziszewska, Jolanta Jarnicka, Krzysztof Gajowniczek, Tomasz S. Zabkowski, Jacek Brozyna, Grzegorz Mentel, Grzegorz Matejko
Machine Learning for Energy Load Prediction and its Interpretation. IS (2022)
Krzysztof Gajowniczek, Tomasz Zabkowski
ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets. SoftwareX 15 (2021)
Rafik Nafkha, Tomasz Zabkowski, Krzysztof Gajowniczek
Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers. ICCS (4) (2021)
Krzysztof Gajowniczek, Tomasz S. Zabkowski
: An R package for building entropy-based classification trees on imbalanced datasets. SoftwareX 16 (2021)
Krzysztof Gajowniczek, Tomasz Zabkowski
Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. EANN (2020)
Michal Gostkowski, Krzysztof Gajowniczek
Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case. Entropy 22 (5) (2020)
Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22 (3) (2020)
Krzysztof Gajowniczek, Marcin Bator, Tomasz Zabkowski
Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption. Entropy 22 (12) (2020)
Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Zabkowski
Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods. Sensors 19 (7) (2019)
Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz Zabkowski
Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks. Entropy 20 (4) (2018)
Krzysztof Gajowniczek, Tomasz Zabkowski
Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting. Complex. 2018 (2018)
Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz Zabkowski
Generalized Entropy Cost Function in Neural Networks. ICANN (2) (2017)
Krzysztof Gajowniczek, Rafik Nafkha, Tomasz Zabkowski
Electricity peak demand classification with artificial neural networks. FedCSIS (2017)
Tomasz Zabkowski, Krzysztof Gajowniczek
Grade Analysis for households segmentation based on energy usage patterns. INISTA (2017)
Krzysztof Gajowniczek, Tomasz Zabkowski
Short term electricity forecasting based on user behavior from individual smart meter data. J. Intell. Fuzzy Syst. 30 (1) (2016)
Krzysztof Gajowniczek, Tomasz Zabkowski, Ryszard Szupiluk
Blind Source Separation for Improved Load Forecasting on Individual Household Level. CORES (2015)
Krzysztof Gajowniczek, Tomasz Zabkowski, Arkadiusz Orlowski
Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset. FedCSIS (2015)
Ryszard Szupiluk, Tomasz Zabkowski, Krzysztof Gajowniczek
Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks. ICAISC (2015)
Tomasz Zabkowski, Krzysztof Gajowniczek, Ryszard Szupiluk
Grade analysis for energy usage patterns segmentation based on smart meter data. CYBCONF (2015)
Krzysztof Gajowniczek, Tomasz Zabkowski
Short Term Electricity Forecasting Using Individual Smart Meter Data. KES (2014)