Krzysztof Gajowniczek

Orcid: 0000-0001-6953-8907

  • Warsaw University of Life Sciences, Poland

According to our database1, Krzysztof Gajowniczek authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Handling an inconsistently coded categorical variable in a longitudinal dataset with cat2cat.
SoftwareX, December, 2023

HOFS: Higher order mutual information approximation for feature selection in R.
SoftwareX, 2022

Machine Learning for Energy Load Prediction and its Interpretation.
Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

<i>ImbTreeEntropy</i>: An R package for building entropy-based classification trees on imbalanced datasets.
SoftwareX, 2021

ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets.
SoftwareX, 2021

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers.
Proceedings of the Computational Science - ICCS 2021, 2021

Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case.
Entropy, 2020

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.
Entropy, 2020

Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.
Entropy, 2020

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods.
Sensors, 2019

Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks.
Entropy, 2018

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting.
Complex., 2018

Grade Analysis for households segmentation based on energy usage patterns.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Generalized Entropy Cost Function in Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Electricity peak demand classification with artificial neural networks.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Short term electricity forecasting based on user behavior from individual smart meter data.
J. Intell. Fuzzy Syst., 2016

Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset.
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.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Blind Source Separation for Improved Load Forecasting on Individual Household Level.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Short Term Electricity Forecasting Using Individual Smart Meter Data.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014