Tomasz Zabkowski

Orcid: 0000-0003-1722-1179

According to our database1, Tomasz Zabkowski authored at least 36 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets.
SoftwareX, 2021

Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.
Entropy, 2020

Whole Time Series Data Streams Clustering: Dynamic Profiling of the Electricity Consumption.
Entropy, 2020

Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Reducing False Arrhythmia Alarms Using Different Methods of Probability and Class Assignment in Random Forest Learning Methods.
Sensors, 2019

2018
Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks.
Entropy, 2018

Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting.
Complex., 2018

2017
Grade Analysis for households segmentation based on energy usage patterns.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Generalized Entropy Cost Function in Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Electricity peak demand classification with artificial neural networks.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

2016
Short term electricity forecasting based on user behavior from individual smart meter data.
J. Intell. Fuzzy Syst., 2016

2015
Extended AMUSE Algorithm and Novel Randomness Approach for BSS Model Aggregation with Methodology Remarks.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Comparison of decision trees with Rényi and Tsallis entropy applied for imbalanced churn dataset.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Grade analysis for energy usage patterns segmentation based on smart meter data.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Blind Source Separation for Improved Load Forecasting on Individual Household Level.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Short Term Electricity Forecasting Using Individual Smart Meter Data.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Signal Randomness Measure for BSS Ensemble Predictors.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Independent Component Analysis Filtration for Value at Risk Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

A State Space Approach and Hurst Exponent for Ensemble Predictors.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Smooth Component Analysis and MSE Decomposition for Ensemble Methods.
Proceedings of the Agent and Multi-Agent Systems. Technologies and Applications, 2012

Multiplicative ICA Algorithm for Interaction Analysis in Financial Markets.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
Multistage Covariance Approach to Measure the Randomness in Financial Time Series Analysis.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2011

The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Aggregated Information Representation for Technical Analysis on Stock Market with Csiszár Divergence.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2010

Noise Detection for Ensemble Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008
Generalized Extreme Value for Smooth Component Analysis in Prediction Improvement.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2007
Smooth Component Analysis as Ensemble Method for Prediction Improvement.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Prediction Improvement via Smooth Component Analysis and Neural Network Mixing.
Proceedings of the Artificial Neural Networks, 2006

Blind Signal Separation Methods for Integration of Neural Networks Results.
Proceedings of the 9th International Conference on Information Fusion, 2006

Combining Forecasts with Blind Signal Separation Methods in Electric Load Prediction Framework.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
PCA and ICA Methods for Prediction Results Enhancement.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

Blind source separation for improved load forecasting in the power system.
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005

2004
Independent Component Analysis for Filtration in Data Mining.
Proceedings of the Intelligent Information Processing and Web Mining, 2004

Model Improvement by the Statistical Decomposition.
Proceedings of the Artificial Intelligence and Soft Computing, 2004


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