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Grzegorz Dudek
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Journal Articles
- 2024
- [j16]Grzegorz Dudek, Piotr Fiszeder
, Pawel Kobus, Witold Orzeszko:
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study. Appl. Soft Comput. 151: 111132 (2024) - [j15]Slawek Smyl, Grzegorz Dudek
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks 169: 660-672 (2024) - [j14]Slawek Smyl
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11346-11358 (2024) - 2023
- [j13]Grzegorz Dudek
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. IEEE Trans. Knowl. Data Eng. 35(10): 10339-10350 (2023) - 2022
- [j12]Grzegorz Dudek
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2879-2891 (2022) - 2021
- [j11]Grzegorz Dudek, Pawel Pelka
Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study. Appl. Soft Comput. 104: 107223 (2021) - [j10]Grzegorz Dudek:
A constructive approach to data-driven randomized learning for feedforward neural networks. Appl. Soft Comput. 112: 107797 (2021) - 2020
- [j9]Grzegorz Dudek
Multilayer perceptron for short-term load forecasting: from global to local approach. Neural Comput. Appl. 32(8): 3695-3707 (2020) - 2019
- [j8]Grzegorz Dudek
Generating random weights and biases in feedforward neural networks with random hidden nodes. Inf. Sci. 481: 33-56 (2019) - 2017
- [j7]Grzegorz Dudek
Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting. IEEE Trans. Evol. Comput. 21(1): 116-130 (2017) - 2016
- [j6]Grzegorz Dudek
Neural networks for pattern-based short-term load forecasting: A comparative study. Neurocomputing 205: 64-74 (2016) - 2015
- [j5]Grzegorz Dudek
Pattern similarity-based methods for short-term load forecasting - Part 2: Models. Appl. Soft Comput. 36: 422-441 (2015) - [j4]Grzegorz Dudek
Pattern similarity-based methods for short-term load forecasting - Part 1: Principles. Appl. Soft Comput. 37: 277-287 (2015) - 2013
- [j3]Grzegorz Dudek
Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem. Expert Syst. Appl. 40(15): 6080-6086 (2013) - [j2]Grzegorz Dudek:
Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles. Trans. Comput. Collect. Intell. 11: 176-197 (2013) - 2012
- [j1]Grzegorz Dudek
An Artificial Immune System for Classification With Local Feature Selection. IEEE Trans. Evol. Comput. 16(6): 847-860 (2012)
Conference and Workshop Papers
- 2024
- [c34]Grzegorz Dudek
Stacking for Probabilistic Short-Term Load Forecasting. ICCS (2) 2024: 3-18 - [c33]Norbert Jankowski, Grzegorz Dudek:
Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. ICCS (3) 2024: 205-212 - 2023
- [c32]Grzegorz Dudek:
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. DSAA 2023: 1-10 - [c31]Slawek Smyl
Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. ICCS (1) 2023: 450-464 - [c30]Grzegorz Dudek:
Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. IWANN (1) 2023: 690-702 - 2022
- [c29]Grzegorz Dudek
Boosted Ensemble Learning Based on Randomized NNs for Time Series Forecasting. ICCS (1) 2022: 360-374 - [c28]Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. IJCNN 2022: 1-8 - 2021
- [c27]Grzegorz Dudek
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. ICAISC (1) 2021: 66-77 - [c26]Grzegorz Dudek
Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting. ICONIP (3) 2021: 418-430 - [c25]Grzegorz Dudek:
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. IJCNN 2021: 1-8 - [c24]Grzegorz Dudek
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. IWANN (2) 2021: 196-207 - 2020
- [c23]Grzegorz Dudek
Are Direct Links Necessary in Random Vector Functional Link Networks for Regression? ICAISC (1) 2020: 60-70 - [c22]Pawel Pelka
Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods. ICAISC (1) 2020: 712-723 - [c21]Grzegorz Dudek
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) 2020: 519-531 - [c20]Grzegorz Dudek
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. ICONIP (5) 2020: 598-606 - [c19]Grzegorz Dudek:
Data-Driven Randomized Learning of Feedforward Neural Networks. IJCNN 2020: 1-8 - [c18]Pawel Pelka
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. IJCNN 2020: 1-8 - 2019
- [c17]Grzegorz Dudek
Sensitivity Analysis of the Neural Networks Randomized Learning. ICAISC (1) 2019: 51-61 - [c16]Pawel Pelka
Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron. ICAISC (1) 2019: 663-672 - [c15]Grzegorz Dudek
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. IWANN (1) 2019: 517-530 - 2017
- [c14]Pawel Pelka
Neuro-Fuzzy System for Medium-Term Electric Energy Demand Forecasting. ISAT (1) 2017: 38-47 - [c13]Grzegorz Dudek
Multivariate Regression Tree for Pattern-Based Forecasting Time Series with Multiple Seasonal Cycles. ISAT (1) 2017: 85-94 - [c12]Grzegorz Dudek
Classification Tree for Material Defect Detection Using Active Thermography. ISAT (1) 2017: 118-127 - 2015
- [c11]Grzegorz Dudek
Extreme Learning Machine as a Function Approximator: Initialization of Input Weights and Biases. CORES 2015: 59-69 - [c10]Grzegorz Dudek
Extreme learning machine for function approximation - interval problem of input weights and biases. CYBCONF 2015: 62-67 - 2014
- [c9]Grzegorz Dudek
Tournament Searching Method for Optimization of the Forecasting Model Based on the Nadaraya-Watson Estimator. ICAISC (2) 2014: 339-348 - [c8]Grzegorz Dudek
Short-Term Load Forecasting Using Random Forests. IEEE Conf. on Intelligent Systems (2) 2014: 821-828 - [c7]Grzegorz Dudek
Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles. IEEE Conf. on Intelligent Systems (2) 2014: 839-846 - 2013
- [c6]Grzegorz Dudek
Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning. ICAISC (1) 2013: 52-63 - 2012
- [c5]Grzegorz Dudek
Tournament Feature Selection with Directed Mutations. ICAISC (SIDE-EC) 2012: 190-198 - [c4]Grzegorz Dudek:
Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model. ICAISC (2) 2012: 557-563 - 2011
- [c3]Grzegorz Dudek
Artificial Immune Clustering Algorithm to Forecasting Seasonal Time Series. ICCCI (1) 2011: 468-477 - 2010
- [c2]Grzegorz Dudek
Tournament Searching Method to Feature Selection Problem. ICAISC (2) 2010: 437-444 - 2008
- [c1]Grzegorz Dudek
Artificial Immune System for Short-Term Electric Load Forecasting. ICAISC 2008: 1007-1017
Informal and Other Publications
- 2024
- [i23]Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek:
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR abs/2404.17451 (2024) - [i22]Grzegorz Dudek:
Stacking for Probabilistic Short-term Load Forecasting. CoRR abs/2406.10718 (2024) - 2022
- [i21]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR abs/2203.00937 (2022) - [i20]Grzegorz Dudek:
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting. CoRR abs/2203.00980 (2022) - [i19]Grzegorz Dudek, Slawek Smyl, Pawel Pelka:
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR abs/2203.09170 (2022) - [i18]Grzegorz Dudek:
STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. CoRR abs/2204.10398 (2022) - [i17]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR abs/2212.09030 (2022) - 2021
- [i16]Grzegorz Dudek:
Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. CoRR abs/2107.01702 (2021) - [i15]Grzegorz Dudek:
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. CoRR abs/2107.01705 (2021) - [i14]Grzegorz Dudek:
Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. CoRR abs/2107.01711 (2021) - [i13]Grzegorz Dudek, Pawel Pelka:
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting. CoRR abs/2107.04091 (2021) - [i12]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. CoRR abs/2112.02663 (2021) - 2020
- [i11]Grzegorz Dudek, Pawel Pelka:
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. CoRR abs/2003.01475 (2020) - [i10]Grzegorz Dudek:
Are Direct Links Necessary in RVFL NNs for Regression? CoRR abs/2003.13090 (2020) - [i9]Pawel Pelka, Grzegorz Dudek:
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods. CoRR abs/2004.00426 (2020) - [i8]Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. CoRR abs/2004.00508 (2020) - [i7]Pawel Pelka, Grzegorz Dudek:
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. CoRR abs/2004.11834 (2020) - [i6]Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka:
N-BEATS neural network for mid-term electricity load forecasting. CoRR abs/2009.11961 (2020) - 2019
- [i5]Grzegorz Dudek:
Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR abs/1908.03891 (2019) - [i4]Grzegorz Dudek:
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. CoRR abs/1908.05542 (2019) - [i3]Grzegorz Dudek:
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. CoRR abs/1908.05864 (2019) - [i2]Grzegorz Dudek:
A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR abs/1909.01961 (2019) - 2017
- [i1]Grzegorz Dudek:
A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes. CoRR abs/1710.04874 (2017)
Coauthor Index
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last updated on 2024-12-10 21:40 CET by the dblp team
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