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Krzysztof Gajowniczek
Krzysztof Gajowniczek
Institute of Information Technology, Warsaw University of Life Sciences - SGGW
Verified email at sggw.edu.pl - Homepage
Title
Cited by
Cited by
Year
Short term electricity forecasting using individual smart meter data
K Gajowniczek, T Z±bkowski
Procedia Computer Science 35, 589-597, 2014
1432014
Electricity forecasting on the individual household level enhanced based on activity patterns
K Gajowniczek, T Z±bkowski
PLoS ONE 12 (4), e0174098, 2017
1162017
Data Mining Techniques for Detecting Household Characteristics Based on Smart Meter Data
K Gajowniczek, T Z±bkowski
Energies 8 (7), 7407-7427, 2015
902015
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
66*2013
Two-stage electricity demand modelling using machine learning algorithms
K Gajowniczek, T Z±bkowski
Energies 10 (10), 1547-1571, 2017
512017
Simulation study on clustering approaches for short-term electricity forecasting
K Gajowniczek, T Z±bkowski
Complexity 2018, 2018
342018
Weighted Random Forests to Improve Arrhythmia Classification
K Gajowniczek, I Grzegorczyk, T Z±bkowski, C Bajaj
Electronics 9 (1), art. 99, 2020
322020
Electricity peak demand classification with artificial neural networks
K Gajowniczek, R Nafkha, T Z±bkowski
Proceedings of the 2017 Federated Conference on Computer Science and …, 2017
292017
ESTIMATING THE ROC CURVE AND ITS SIGNIFICANCE FOR CLASSIFICATION MODELS’ASSESSMENT
K Gajowniczek, T Z±bkowski, R Szupiluk
Metody Ilo¶ciowe w Badaniach Ekonomicznych 15 (2), 382-391, 2014
282014
Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
K Gajowniczek, T Z±bkowski, M Sodenkamp
Applied Sciences 8 (9), art. 1654, 2018
272018
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
242015
Entropy Based Trees to Support Decision Making for Customer Churn Management
K Gajowniczek, A Orłowski, T Z±bkowski
Acta Physica Polonica A 129 (5), 971-979, 2016
222016
Short term electricity forecasting based on user behavior using individual smart meter data
K Gajowniczek, T Z±bkowski
Intelligent & Fuzzy Systems, 2015
22*2015
Do customers choose proper tariff? empirical analysis based on polish data using unsupervised techniques
R Nafkha, K Gajowniczek, T Z±bkowski
Energies 11 (3), 514, 2018
202018
Semantic and generalized entropy loss functions for semi-supervised deep learning
K Gajowniczek, Y Liang, T Friedman, T Z±bkowski, G Van den Broeck
Entropy 22 (3), art. 334, 2020
192020
Grade analysis for energy usage patterns segmentation based on smart meter data
T Z±bkowski, K Gajowniczek, R Szupiluk
2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 234-239, 2015
162015
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
152017
Generalized entropy cost function in neural networks
K Gajowniczek, L Chmielewski, A Orłowski, T Z±bkowski
A. Lintas et al. (Eds.): ICANN 2017, Part I, LNCS 10613, 1-9, 2017
152017
Smart metering and data privacy issues
T Z±bkowski, K Gajowniczek
Information systems in Management 2 (3), 239--249, 2013
152013
Simulation study on the application of the generalized entropy concept in artificial neural networks
K Gajowniczek, A Orłowski, T Z±bkowski
Entropy 20 (4), 249, 2018
142018
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