Tomasz S. Zabkowski

40 papers B 1C 6Misc 2Journal 10Unranked 21

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GradeStat: An R package for grade correspondence analysis. SoftwareX Krzysztof Gajowniczek, Tomasz S. Zabkowski, Artur Krupa, Wieslaw Szczesny
2022	—	`conf`	Machine Learning for Energy Load Prediction and its Interpretation. IS Malgorzata Charytanowicz, Anna Olwert, Weronika Radziszewska, Jolanta Jarnicka, Krzysztof Gajowniczek, Tomasz S. Zabkowski, Jacek Brozyna, Grzegorz Mentel, Grzegorz Matejko
2021	J	`jnl`	ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets. SoftwareX Krzysztof Gajowniczek, Tomasz S. Zabkowski
2021	—	`conf`	Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers. ICCS (4) Rafik Nafkha, Tomasz S. Zabkowski, Krzysztof Gajowniczek
2020	C	`conf`	Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. EANN Krzysztof Gajowniczek, Tomasz S. Zabkowski
2020	J	`jnl`	Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck
2020	J	`jnl`	Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption. Entropy Krzysztof Gajowniczek, Marcin Bator, Tomasz S. Zabkowski
2019	J	`jnl`	Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods. Sensors Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz S. Zabkowski
2018	J	`jnl`	Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting. Complex. Krzysztof Gajowniczek, Tomasz S. Zabkowski
2018	J	`jnl`	Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks. Entropy Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz S. Zabkowski
2017	C	`conf`	Electricity peak demand classification with artificial neural networks. FedCSIS Krzysztof Gajowniczek, Rafik Nafkha, Tomasz S. Zabkowski
2017	—	`conf`	Generalized Entropy Cost Function in Neural Networks. ICANN (2) Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orlowski, Tomasz S. Zabkowski
2017	C	`conf`	Grade Analysis for households segmentation based on energy usage patterns. INISTA Tomasz S. Zabkowski, Krzysztof Gajowniczek
2016	J	`jnl`	RFM approach for telecom insolvency modeling. Kybernetes Tomasz S. Zabkowski
2016	J	`jnl`	Short term electricity forecasting based on user behavior from individual smart meter data. J. Intell. Fuzzy Syst. Krzysztof Gajowniczek, Tomasz S. Zabkowski
2015	—	`conf`	Blind Source Separation for Improved Load Forecasting on Individual Household Level. CORES Krzysztof Gajowniczek, Tomasz S. Zabkowski, Ryszard Szupiluk
2015	C	`conf`	Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset. FedCSIS Krzysztof Gajowniczek, Tomasz S. Zabkowski, Arkadiusz Orlowski
2015	Misc	`conf`	Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks. ICAISC Ryszard Szupiluk, Tomasz S. Zabkowski, Krzysztof Gajowniczek
2015	—	`conf`	Grade analysis for energy usage patterns segmentation based on smart meter data. CYBCONF Tomasz S. Zabkowski, Krzysztof Gajowniczek, Ryszard Szupiluk
2014	B	`conf`	Short Term Electricity Forecasting Using Individual Smart Meter Data. KES Krzysztof Gajowniczek, Tomasz S. Zabkowski
2014	—	`conf`	Signal Randomness Measure for BSS Ensemble Predictors. ICAISC (2) Ryszard Szupiluk, Tomasz S. Zabkowski
2013	—	`conf`	A State Space Approach and Hurst Exponent for Ensemble Predictors. EANN (1) Ryszard Szupiluk, Tomasz S. Zabkowski
2013	C	`conf`	Independent Component Analysis Filtration for Value at Risk Modelling. ICANN Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2013	—	`conf`	Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series. ICANNGA Ryszard Szupiluk, Tomasz S. Zabkowski
2012	J	`jnl`	Insolvency modeling in the cellular telecommunication industry. Expert Syst. Appl. Tomasz S. Zabkowski, Wieslaw Szczesny
2012	—	`conf`	Multiplicative ICA Algorithm for Interaction Analysis in Financial Markets. ICAISC (2) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2012	—	`conf`	Smooth Component Analysis and MSE Decomposition for Ensemble Methods. KES-AMSTA Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2011	—	`conf`	Multistage Covariance Approach to Measure the Randomness in Financial Time Series Analysis. KES-AMSTA Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2011	—	`conf`	The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context. ICANNGA (2) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2010	—	`conf`	Aggregated Information Representation for Technical Analysis on Stock Market with Csiszár Divergence. KES-AMSTA (2) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2010	—	`conf`	Noise Detection for Ensemble Methods. ICAISC (1) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2008	—	`conf`	Generalized Extreme Value for Smooth Component Analysis in Prediction Improvement. KES (1) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2007	—	`conf`	Smooth Component Analysis as Ensemble Method for Prediction Improvement. ICA Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2006	C	`conf`	Blind Signal Separation Methods for Integration of Neural Networks Results. FUSION Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2006	—	`conf`	Combining Forecasts with Blind Signal Separation Methods in Electric Load Prediction Framework. Artificial Intelligence and Applications Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2006	—	`conf`	Prediction Improvement via Smooth Component Analysis and Neural Network Mixing. ICANN (2) Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2005	—	`conf`	Blind source separation for improved load forecasting in the power system. ECCTD Krzysztof Siwek, Stanislaw Osowski, Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2005	—	`conf`	PCA and ICA Methods for Prediction Results Enhancement. Intelligent Information Systems Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2004	—	`conf`	Independent Component Analysis for Filtration in Data Mining. Intelligent Information Systems Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski
2004	Misc	`conf`	Model Improvement by the Statistical Decomposition. ICAISC Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski