Krzysztof Gajowniczek

According to our database, Krzysztof Gajowniczek authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat.

Maciej Nasinski, Krzysztof Gajowniczek

SoftwareX, December, 2023

2022

HOFS: Higher order mutual information approximation for feature selection in R.

Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj

SoftwareX, 2022

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

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

2021

<i>ImbTreeEntropy</i>: An R package for building entropy-based classification trees on imbalanced datasets.

Krzysztof Gajowniczek, Tomasz S. Zabkowski

SoftwareX, 2021

ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets.

Krzysztof Gajowniczek, Tomasz Zabkowski

SoftwareX, 2021

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers.

Rafik Nafkha, Tomasz Zabkowski, Krzysztof Gajowniczek

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case.

Michal Gostkowski, Krzysztof Gajowniczek

Entropy, 2020

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.

Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck

Entropy, 2020

Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.

Krzysztof Gajowniczek, Marcin Bator, Tomasz Zabkowski

Entropy, 2020

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis.

Krzysztof Gajowniczek, Tomasz Zabkowski

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods.

Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Zabkowski

Sensors, 2019

2018

Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks.

Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz Zabkowski

Entropy, 2018

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting.

Krzysztof Gajowniczek, Tomasz Zabkowski

Complex., 2018

2017

Grade Analysis for households segmentation based on energy usage patterns.

Tomasz Zabkowski, Krzysztof Gajowniczek

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Generalized Entropy Cost Function in Neural Networks.

Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz Zabkowski

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Electricity peak demand classification with artificial neural networks.

Krzysztof Gajowniczek, Rafik Nafkha, Tomasz Zabkowski

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016

Short term electricity forecasting based on user behavior from individual smart meter data.

Krzysztof Gajowniczek, Tomasz Zabkowski

J. Intell. Fuzzy Syst., 2016

2015

Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks.

Ryszard Szupiluk, Tomasz Zabkowski, Krzysztof Gajowniczek

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset.

Krzysztof Gajowniczek, Tomasz Zabkowski, Arkadiusz Orlowski

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Grade analysis for energy usage patterns segmentation based on smart meter data.

Tomasz Zabkowski, Krzysztof Gajowniczek, Ryszard Szupiluk

Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Blind Source Separation for Improved Load Forecasting on Individual Household Level.

Krzysztof Gajowniczek, Tomasz Zabkowski, Ryszard Szupiluk

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

Short Term Electricity Forecasting Using Individual Smart Meter Data.

Krzysztof Gajowniczek, Tomasz Zabkowski

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014