Model Improvement by the Statistical Decomposition. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICAISC, 2004)

Independent Component Analysis for Filtration in Data Mining. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (Intelligent Information Systems, 2004)

Blind source separation for improved load forecasting in the power system. - Krzysztof Siwek; Stanislaw Osowski; Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ECCTD, 2005)

PCA and ICA Methods for Prediction Results Enhancement. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (Intelligent Information Systems, 2005)

Combining Forecasts with Blind Signal Separation Methods in Electric Load Prediction Framework. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (Artificial Intelligence and Applications, 2006)

Blind Signal Separation Methods for Integration of Neural Networks Results. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (FUSION, 2006)

Prediction Improvement via Smooth Component Analysis and Neural Network Mixing. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICANN (2), 2006)

Smooth Component Analysis as Ensemble Method for Prediction Improvement. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICA, 2007)

Generalized Extreme Value for Smooth Component Analysis in Prediction Improvement. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (KES (1), 2008)

Noise Detection for Ensemble Methods. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICAISC (1), 2010)

Aggregated Information Representation for Technical Analysis on Stock Market with Csiszár Divergence. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (KES-AMSTA (2), 2010)

The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICANNGA (2), 2011)

Multistage Covariance Approach to Measure the Randomness in Financial Time Series Analysis. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (KES-AMSTA, 2011)

Multiplicative ICA Algorithm for Interaction Analysis in Financial Markets. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICAISC (2), 2012)

Smooth Component Analysis and MSE Decomposition for Ensemble Methods. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (KES-AMSTA, 2012)

Insolvency modeling in the cellular telecommunication industry. - Tomasz S. Zabkowski; Wieslaw Szczesny (Expert Syst. Appl., 2012)

A State Space Approach and Hurst Exponent for Ensemble Predictors. - Ryszard Szupiluk; Tomasz S. Zabkowski (EANN (1), 2013)

Independent Component Analysis Filtration for Value at Risk Modelling. - Ryszard Szupiluk; Piotr Wojewnik; Tomasz S. Zabkowski (ICANN, 2013)

Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series. - Ryszard Szupiluk; Tomasz S. Zabkowski (ICANNGA, 2013)

Signal Randomness Measure for BSS Ensemble Predictors. - Ryszard Szupiluk; Tomasz S. Zabkowski (ICAISC (2), 2014)

Short Term Electricity Forecasting Using Individual Smart Meter Data. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (KES, 2014)

Blind Source Separation for Improved Load Forecasting on Individual Household Level. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Ryszard Szupiluk (CORES, 2015)

Grade analysis for energy usage patterns segmentation based on smart meter data. - Tomasz S. Zabkowski; Krzysztof Gajowniczek; Ryszard Szupiluk (CYBCONF, 2015)

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Arkadiusz Orlowski (FedCSIS, 2015)

Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks. - Ryszard Szupiluk; Tomasz S. Zabkowski; Krzysztof Gajowniczek (ICAISC, 2015)

Short term electricity forecasting based on user behavior from individual smart meter data. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (J. Intell. Fuzzy Syst., 2016)

RFM approach for telecom insolvency modeling. - Tomasz S. Zabkowski (Kybernetes, 2016)

Electricity peak demand classification with artificial neural networks. - Krzysztof Gajowniczek; Rafik Nafkha; Tomasz S. Zabkowski (FedCSIS, 2017)

Generalized Entropy Cost Function in Neural Networks. - Krzysztof Gajowniczek; Leszek J. Chmielewski; Arkadiusz Orlowski; Tomasz S. Zabkowski (ICANN (2), 2017)

Grade Analysis for households segmentation based on energy usage patterns. - Tomasz S. Zabkowski; Krzysztof Gajowniczek (INISTA, 2017)

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (Complex., 2018)

Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks. - Krzysztof Gajowniczek; Arkadiusz Orlowski; Tomasz S. Zabkowski (Entropy, 2018)

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods. - Krzysztof Gajowniczek; Iga Grzegorczyk; Tomasz S. Zabkowski (Sensors, 2019)

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (EANN, 2020)

Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption. - Krzysztof Gajowniczek; Marcin Bator; Tomasz S. Zabkowski (Entropy, 2020)

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. - Krzysztof Gajowniczek; Yitao Liang; Tal Friedman; Tomasz S. Zabkowski; Guy Van den Broeck (Entropy, 2020)

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers. - Rafik Nafkha; Tomasz S. Zabkowski; Krzysztof Gajowniczek (ICCS (4), 2021)

ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (SoftwareX, 2021)

ImbTreeEntropy: An R package for building entropy-based classification trees on imbalanced datasets. - Krzysztof Gajowniczek; Tomasz S. Zabkowski (SoftwareX, 2021)

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 (IS, 2022)

GradeStat: An R package for grade correspondence analysis. - Krzysztof Gajowniczek; Tomasz S. Zabkowski; Artur Krupa; Wieslaw Szczesny (SoftwareX, 2024)