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ORCIDKrzysztof Gajowniczek
Person information
- affiliation: Warsaw University of Life Sciences, Poland
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Journal Articles
- 2024
[j13]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: 123925 (2024)- [j12]Krzysztof Gajowniczek, Tomasz S. Zabkowski, Artur Krupa, Wieslaw Szczesny:
GradeStat: An R package for grade correspondence analysis. SoftwareX 27: 101790 (2024) - 2023
- [j11]Maciej Nasinski, Krzysztof Gajowniczek:
Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat. SoftwareX 24: 101525 (2023) - 2022
- [j10]Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj:
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19: 101148 (2022) - 2021
- [j9]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets. SoftwareX 15: 100755 (2021) - [j8]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
ImbTreeEntropy: An R package for building entropy-based classification trees on imbalanced datasets. SoftwareX 16: 100841 (2021) - 2020
- [j7]Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck:
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22(3): 334 (2020) - [j6]Michal Gostkowski, Krzysztof Gajowniczek:
Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case. Entropy 22(5): 545 (2020) - [j5]Krzysztof Gajowniczek, Marcin Bator, Tomasz S. Zabkowski:
Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption. Entropy 22(12): 1414 (2020) - 2019
- [j4]Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz S. Zabkowski:
Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods. Sensors 19(7): 1588 (2019) - 2018
- [j3]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting. Complex. 2018: 3683969:1-3683969:21 (2018) - [j2]Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz S. Zabkowski:
Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks. Entropy 20(4): 249 (2018) - 2016
- [j1]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
Short term electricity forecasting based on user behavior from individual smart meter data. J. Intell. Fuzzy Syst. 30(1): 223-234 (2016)
Conference and Workshop Papers
- 2022
- [c11]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: 1-8 - 2021
- [c10]Rafik Nafkha, Tomasz S. Zabkowski, Krzysztof Gajowniczek:
Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers. ICCS (4) 2021: 173-184 - 2020
- [c9]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. EANN 2020: 535-545 - 2017
- [c8]Krzysztof Gajowniczek, Rafik Nafkha, Tomasz S. Zabkowski:
Electricity peak demand classification with artificial neural networks. FedCSIS 2017: 307-315 - [c7]Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz S. Zabkowski:
Generalized Entropy Cost Function in Neural Networks. ICANN (2) 2017: 128-136 - [c6]Tomasz S. Zabkowski, Krzysztof Gajowniczek:
Grade Analysis for households segmentation based on energy usage patterns. INISTA 2017: 168-173 - 2015
- [c5]Krzysztof Gajowniczek, Tomasz S. Zabkowski, Ryszard Szupiluk:
Blind Source Separation for Improved Load Forecasting on Individual Household Level. CORES 2015: 181-190 - [c4]Tomasz S. Zabkowski, Krzysztof Gajowniczek, Ryszard Szupiluk:
Grade analysis for energy usage patterns segmentation based on smart meter data. CYBCONF 2015: 234-239 - [c3]Krzysztof Gajowniczek, Tomasz S. Zabkowski, Arkadiusz Orlowski:
Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset. FedCSIS 2015: 39-44 - [c2]Ryszard Szupiluk, Tomasz S. Zabkowski, Krzysztof Gajowniczek:
Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks. ICAISC 2015: 527-537 - 2014
- [c1]Krzysztof Gajowniczek, Tomasz S. Zabkowski:
Short Term Electricity Forecasting Using Individual Smart Meter Data. KES 2014: 589-597
Coauthor Index
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