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Page 1
Weighted Random Forests to Improve Arrhythmia Classification.
Electronics (Basel). 2020 Jan;9(1):10.3390/electronics9010099. doi: 10.3390/electronics9010099. Epub 2020 Jan 3.
Electronics (Basel). 2020.
PMID: 32051761
Free PMC article.
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.
Gajowniczek K, Liang Y, Friedman T, Ząbkowski T, Van den Broeck G.
Gajowniczek K, et al.
Entropy (Basel). 2020 Mar 14;22(3):334. doi: 10.3390/e22030334.
Entropy (Basel). 2020.
PMID: 33286108
Free PMC article.
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Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.
Gajowniczek K, Bator M, Ząbkowski T.
Gajowniczek K, et al.
Entropy (Basel). 2020 Dec 15;22(12):1414. doi: 10.3390/e22121414.
Entropy (Basel). 2020.
PMID: 33333937
Free PMC article.
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Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods.
Gajowniczek K, Grzegorczyk I, Ząbkowski T.
Gajowniczek K, et al.
Sensors (Basel). 2019 Apr 2;19(7):1588. doi: 10.3390/s19071588.
Sensors (Basel). 2019.
PMID: 30986930
Free PMC article.
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Electricity forecasting on the individual household level enhanced based on activity patterns.
Gajowniczek K, Ząbkowski T.
Gajowniczek K, et al.
PLoS One. 2017 Apr 19;12(4):e0174098. doi: 10.1371/journal.pone.0174098. eCollection 2017.
PLoS One. 2017.
PMID: 28423039
Free PMC article.
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Weighted Quantile Regression Forests for Bimodal Distribution Modeling: A Loss Given Default Case.
Gostkowski M, Gajowniczek K.
Gostkowski M, et al. Among authors: gajowniczek k.
Entropy (Basel). 2020 May 13;22(5):545. doi: 10.3390/e22050545.
Entropy (Basel). 2020.
PMID: 33286317
Free PMC article.
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Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks.
Gajowniczek K, Orłowski A, Ząbkowski T.
Gajowniczek K, et al.
Entropy (Basel). 2018 Apr 3;20(4):249. doi: 10.3390/e20040249.
Entropy (Basel). 2018.
PMID: 33265339
Free PMC article.
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