Krzysztof Gajowniczek

25 papers B 1C 4Misc 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Simulation Study on How Input Data Affects Time-Series Classification Model Results.
Entropy
Maria Sadowska, Krzysztof Gajowniczek
2024 J jnl
GradeStat: An R package for grade correspondence analysis.
SoftwareX
Krzysztof Gajowniczek, Tomasz S. Zabkowski, Artur Krupa, Wieslaw Szczesny
2024 J jnl
Influence of Explanatory Variable Distributions on the Behavior of the Impurity Measures Used in Classification Tree Learning.
Entropy
Krzysztof Gajowniczek, Marcin Dudzinski
2024 J jnl
LMR: A software for modeling and reverse optimization of straight-core lossy mode resonance (LMR) based sensors.
Expert Syst. Appl.
Michal Szymanski, Kamil Kosiel, Roman Huk, Krzysztof Gajowniczek
2023 J jnl
Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat.
SoftwareX
Maciej Nasinski, Krzysztof Gajowniczek
2022 J jnl
HOFS: Higher order mutual information approximation for feature selection in R.
SoftwareX
Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj
2022 — conf
Machine Learning for Energy Load Prediction and its Interpretation.
IS
Malgorzata Charytanowicz, Anna Olwert, Weronika Radziszewska, Jolanta Jarnicka, Krzysztof Gajowniczek, Tomasz S. Zabkowski, Jacek Brozyna, Grzegorz Mentel, Grzegorz Matejko
2021 J jnl
ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets.
SoftwareX
Krzysztof Gajowniczek, Tomasz S. Zabkowski
2021 — conf
Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers.
ICCS (4)
Rafik Nafkha, Tomasz S. Zabkowski, Krzysztof Gajowniczek
2020 C conf
Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis.
EANN
Krzysztof Gajowniczek, Tomasz S. Zabkowski
2020 J jnl
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.
Entropy
Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck
2020 J jnl
Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case.
Entropy
Michal Gostkowski, Krzysztof Gajowniczek
2020 J jnl
Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.
Entropy
Krzysztof Gajowniczek, Marcin Bator, Tomasz S. Zabkowski
2019 J jnl
Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods.
Sensors
Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz S. Zabkowski
2018 J jnl
Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting.
Complex.
Krzysztof Gajowniczek, Tomasz S. Zabkowski
2018 J jnl
Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks.
Entropy
Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz S. Zabkowski
2017 C conf
Electricity peak demand classification with artificial neural networks.
FedCSIS
Krzysztof Gajowniczek, Rafik Nafkha, Tomasz S. Zabkowski
2017 — conf
Generalized Entropy Cost Function in Neural Networks.
ICANN (2)
Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz S. Zabkowski
2017 C conf
Grade Analysis for households segmentation based on energy usage patterns.
INISTA
Tomasz S. Zabkowski, Krzysztof Gajowniczek
2016 J jnl
Short term electricity forecasting based on user behavior from individual smart meter data.
J. Intell. Fuzzy Syst.
Krzysztof Gajowniczek, Tomasz S. Zabkowski
2015 — conf
Blind Source Separation for Improved Load Forecasting on Individual Household Level.
CORES
Krzysztof Gajowniczek, Tomasz S. Zabkowski, Ryszard Szupiluk
2015 C conf
Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset.
FedCSIS
Krzysztof Gajowniczek, Tomasz S. Zabkowski, Arkadiusz Orlowski
2015 Misc conf
Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks.
ICAISC
Ryszard Szupiluk, Tomasz S. Zabkowski, Krzysztof Gajowniczek
2015 — conf
Grade analysis for energy usage patterns segmentation based on smart meter data.
CYBCONF
Tomasz S. Zabkowski, Krzysztof Gajowniczek, Ryszard Szupiluk
2014 B conf
Short Term Electricity Forecasting Using Individual Smart Meter Data.
KES
Krzysztof Gajowniczek, Tomasz S. Zabkowski