Tomasz Zabkowski

发表

Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks

Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz Zabkowski, 2018, Entropy.

Smooth Component Analysis as Ensemble Method for Prediction Improvement

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2007, ICA.

Multiplicative ICA Algorithm for Interaction Analysis in Financial Markets

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2012, ICAISC.

Multistage Covariance Approach to Measure the Randomness in Financial Time Series Analysis

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2011, KES-AMSTA.

Blind Source Separation for Improved Load Forecasting on Individual Household Level

Ryszard Szupiluk, Krzysztof Gajowniczek, Tomasz Zabkowski, 2015, CORES.

Generalized Extreme Value for Smooth Component Analysis in Prediction Improvement

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2008, KES.

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis

Krzysztof Gajowniczek, Tomasz Zabkowski, Krzysztof Gajowniczek, 2020, EANN.

Grade analysis for energy usage patterns segmentation based on smart meter data

Krzysztof Gajowniczek, Tomasz Zabkowski, Ryszard Szupiluk, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Aggregated Information Representation for Technical Analysis on Stock Market with Csiszár Divergence

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2010, KES-AMSTA.

Prediction Improvement via Smooth Component Analysis and Neural Network Mixing

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2006, ICANN.

Smooth Component Analysis and MSE Decomposition for Ensemble Methods

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2012, KES-AMSTA.

PCA and ICA Methods for Prediction Results Enhancement

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2005, Intelligent Information Systems.

Independent Component Analysis for Filtration in Data Mining

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2004, Intelligent Information Systems.

Combining Forecasts with Blind Signal Separation Methods in Electric Load Prediction Framework

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2006, Artificial Intelligence and Applications.

Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods

Krzysztof Gajowniczek, Tomasz Zabkowski, Iga Grzegorczyk, 2019, Sensors.

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting

Krzysztof Gajowniczek, Tomasz Zabkowski, T. Zabkowski, 2018, Complex..

The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2011, ICANNGA.

A State Space Approach and Hurst Exponent for Ensemble Predictors

Ryszard Szupiluk, Tomasz Zabkowski, R. Szupiluk, 2013, EANN.

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset

Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz Zabkowski, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

Short term electricity forecasting based on user behavior from individual smart meter data

Krzysztof Gajowniczek, Tomasz Zabkowski, T. Zabkowski, 2015, J. Intell. Fuzzy Syst..

Signal Randomness Measure for BSS Ensemble Predictors

Ryszard Szupiluk, Tomasz Zabkowski, R. Szupiluk, 2014, ICAISC.

Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series

Ryszard Szupiluk, Tomasz Zabkowski, R. Szupiluk, 2013, ICANNGA.

Independent Component Analysis Filtration for Value at Risk Modelling

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2013, ICANN.

Short Term Electricity Forecasting Using Individual Smart Meter Data

Krzysztof Gajowniczek, Tomasz Zabkowski, T. Zabkowski, 2014, KES.

Electricity peak demand classification with artificial neural networks

Krzysztof Gajowniczek, Tomasz Zabkowski, Rafik Nafkha, 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).

Noise Detection for Ensemble Methods

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2010, ICAISC.

Model Improvement by the Statistical Decomposition

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2004, ICAISC.

Grade Analysis for households segmentation based on energy usage patterns

Krzysztof Gajowniczek, Tomasz Zabkowski, T. Zabkowski, 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Generalized Entropy Cost Function in Neural Networks

Krzysztof Gajowniczek, Arkadiusz Orlowski, Tomasz Zabkowski, 2017, ICANN.

Blind Signal Separation Methods for Integration of Neural Networks Results

Ryszard Szupiluk, Tomasz Zabkowski, Piotr Wojewnik, 2006, 2006 9th International Conference on Information Fusion.

Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks

Ryszard Szupiluk, Krzysztof Gajowniczek, Tomasz Zabkowski, 2015, ICAISC.

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers

Krzysztof Gajowniczek, Tomasz Zabkowski, Rafik Nafkha, 2021, ICCS.