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Krzysztof Gajowniczek
Krzysztof Gajowniczek
Institute of Information Technology, Warsaw University of Life Sciences - SGGW
Geverifieerd e-mailadres voor sggw.edu.pl - Homepage
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Short term electricity forecasting using individual smart meter data
K Gajowniczek, T Ząbkowski
Procedia Computer Science 35, 589-597, 2014
1632014
Electricity forecasting on the individual household level enhanced based on activity patterns
K Gajowniczek, T Ząbkowski
PLoS ONE 12 (4), e0174098, 2017
1202017
Data Mining Techniques for Detecting Household Characteristics Based on Smart Meter Data
K Gajowniczek, T Ząbkowski
Energies 8 (7), 7407-7427, 2015
942015
Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I
L Rutkowski, M Korytkowski, R Scherer, R Tadeusiewicz, LA Zadeh, ...
Springer, 2013
73*2013
Two-stage electricity demand modelling using machine learning algorithms
K Gajowniczek, T Ząbkowski
Energies 10 (10), 1547-1571, 2017
522017
Simulation study on clustering approaches for short‐term electricity forecasting
K Gajowniczek, T Ząbkowski
Complexity 2018 (1), 3683969, 2018
412018
ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ASSESSMENT
K Gajowniczek, T Ząbkowski, R Szupiluk
Metody Ilościowe w Badaniach Ekonomicznych 15 (2), 382-391, 2014
392014
Weighted Random Forests to Improve Arrhythmia Classification
K Gajowniczek, I Grzegorczyk, T Ząbkowski, C Bajaj
Electronics 9 (1), art. 99, 2020
382020
Electricity peak demand classification with artificial neural networks
K Gajowniczek, R Nafkha, T Ząbkowski
Proceedings of the 2017 Federated Conference on Computer Science and …, 2017
322017
Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
K Gajowniczek, T Ząbkowski, M Sodenkamp
Applied Sciences 8 (9), art. 1654, 2018
312018
Comparison of Decision Trees with Rényi and Tsallis Entropy Applied for Imbalanced Churn Dataset
K Gajowniczek, A Orłowski, Z Tomasz
Annals of Computer Science and Information Systems 5, 39 – 44, 2015
282015
Semantic and generalized entropy loss functions for semi-supervised deep learning
K Gajowniczek, Y Liang, T Friedman, T Ząbkowski, G Van den Broeck
Entropy 22 (3), art. 334, 2020
262020
Short term electricity forecasting based on user behavior using individual smart meter data
K Gajowniczek, T Ząbkowski
Intelligent & Fuzzy Systems, 2015
24*2015
Entropy Based Trees to Support Decision Making for Customer Churn Management
K Gajowniczek, A Orłowski, T Ząbkowski
Acta Physica Polonica A 129 (5), 971-979, 2016
232016
Do customers choose proper tariff? empirical analysis based on polish data using unsupervised techniques
R Nafkha, K Gajowniczek, T Ząbkowski
Energies 11 (3), 514, 2018
192018
ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets
K Gajowniczek, T Ząbkowski
SoftwareX 15, art. 100755, 2021
182021
Grade analysis for energy usage patterns segmentation based on smart meter data
T Ząbkowski, K Gajowniczek, R Szupiluk
2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 234-239, 2015
172015
Simulation study on the application of the generalized entropy concept in artificial neural networks
K Gajowniczek, A Orłowski, T Ząbkowski
Entropy 20 (4), 249, 2018
162018
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
A Lintas, S Rovetta, PFMJ Verschure, AEP Villa
Springer, 2017
162017
Generalized entropy cost function in neural networks
K Gajowniczek, L Chmielewski, A Orłowski, T Ząbkowski
A. Lintas et al. (Eds.): ICANN 2017, Part I, LNCS 10613, 1-9, 2017
162017
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Artikelen 1–20