Grzegorz Dudek

86 papers B 6Misc 1Journal 51Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Any-quantile probabilistic forecasting of short-term electricity demand: Fusing uncertainties from diverse sources. Inf. Fusion Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek
2026	J	`jnl`	HKAN: Hierarchical Kolmogorov-Arnold network without backpropagation. Neural Networks Grzegorz Dudek, Tomasz Rodak
2026	J	`jnl`	Identification of Bitcoin volatility drivers using statistical and machine learning methods. Appl. Soft Comput. Piotr Fiszeder, Witold Orzeszko, Radoslaw Pietrzyk, Grzegorz Dudek
2026	J	`jnl`	Multivariate forecasting of bitcoin volatility with gradient boosting: Deterministic, probabilistic, and feature importance perspectives. Expert Syst. Appl. Grzegorz Dudek, Mateusz Kasprzyk, Pawel Pelka
2026	J	`jnl`	Probabilistic Multi-Regional Solar Power Forecasting with Any-Quantile Recurrent Neural Networks. CoRR Slawek Smyl, Pawel Pelka, Grzegorz Dudek
2025	J	`jnl`	Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. CoRR Grzegorz Dudek
2025	J	`jnl`	Enhanced N-BEATS for mid-term electricity demand forecasting. Appl. Soft Comput. Mateusz Kasprzyk, Pawel Pelka, Boris N. Oreshkin, Grzegorz Dudek
2025	J	`jnl`	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables. CoRR Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2025	J	`jnl`	HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation. CoRR Grzegorz Dudek, Tomasz Rodak
2025	J	`jnl`	Multivariate Forecasting of Bitcoin Volatility with Gradient Boosting: Deterministic, Probabilistic, and Feature Importance Perspectives. CoRR Grzegorz Dudek, Mateusz Kasprzyk, Pawel Pelka
2025	B	`conf`	Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts. DSAA Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder
2025	J	`jnl`	Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts. CoRR Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder
2024	J	`jnl`	Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek
2024	—	`conf`	Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. ICCS (3) Norbert Jankowski, Grzegorz Dudek
2024	J	`jnl`	Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2024	J	`jnl`	ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2024	J	`jnl`	Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting. CoRR Mateusz Kasprzyk, Pawel Pelka, Boris N. Oreshkin, Grzegorz Dudek
2024	J	`jnl`	Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study. Appl. Soft Comput. Grzegorz Dudek, Piotr Fiszeder, Pawel Kobus, Witold Orzeszko
2024	—	`conf`	Stacking for Probabilistic Short-Term Load Forecasting. ICCS (2) Grzegorz Dudek
2024	J	`jnl`	Stacking for Probabilistic Short-term Load Forecasting. CoRR Grzegorz Dudek
2023	B	`conf`	Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. DSAA Grzegorz Dudek
2023	—	`conf`	Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. IWANN (1) Grzegorz Dudek
2023	—	`conf`	Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. ICCS (1) Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2023	J	`jnl`	STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. IEEE Trans. Knowl. Data Eng. Grzegorz Dudek
2022	J	`jnl`	A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. Grzegorz Dudek, Pawel Pelka, Slawek Smyl
2022	—	`conf`	Boosted Ensemble Learning Based on Randomized NNs for Time Series Forecasting. ICCS (1) Grzegorz Dudek
2022	J	`jnl`	Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting. CoRR Grzegorz Dudek
2022	J	`jnl`	Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2022	B	`conf`	ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. IJCNN Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2022	J	`jnl`	ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2022	J	`jnl`	Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR Grzegorz Dudek, Slawek Smyl, Pawel Pelka
2022	J	`jnl`	STD: A Seasonal-Trend-Dispersion Decomposition of Time Series. CoRR Grzegorz Dudek
2021	J	`jnl`	A constructive approach to data-driven randomized learning for feedforward neural networks. Appl. Soft Comput. Grzegorz Dudek
2021	B	`conf`	Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. IJCNN Grzegorz Dudek
2021	J	`jnl`	Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. CoRR Grzegorz Dudek
2021	—	`conf`	Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. ICAISC (1) Grzegorz Dudek
2021	J	`jnl`	Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. CoRR Grzegorz Dudek
2021	J	`jnl`	ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. CoRR Slawek Smyl, Grzegorz Dudek, Pawel Pelka
2021	J	`jnl`	Ensembles of Randomized NNs for Pattern-based Time Series Forecasting. CoRR Grzegorz Dudek, Pawel Pelka
2021	—	`conf`	Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting. ICONIP (3) Grzegorz Dudek, Pawel Pelka
2021	J	`jnl`	Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study. Appl. Soft Comput. Grzegorz Dudek, Pawel Pelka
2021	—	`conf`	Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. IWANN (2) Grzegorz Dudek
2021	J	`jnl`	Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. CoRR Grzegorz Dudek
2020	—	`conf`	3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) Grzegorz Dudek, Pawel Pelka, Slawek Smyl
2020	J	`jnl`	A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. CoRR Grzegorz Dudek, Pawel Pelka, Slawek Smyl
2020	J	`jnl`	Are Direct Links Necessary in RVFL NNs for Regression? CoRR Grzegorz Dudek
2020	—	`conf`	Are Direct Links Necessary in Random Vector Functional Link Networks for Regression? ICAISC (1) Grzegorz Dudek
2020	B	`conf`	Data-Driven Randomized Learning of Feedforward Neural Networks. IJCNN Grzegorz Dudek
2020	—	`conf`	Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods. ICAISC (1) Pawel Pelka, Grzegorz Dudek
2020	J	`jnl`	Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods. CoRR Pawel Pelka, Grzegorz Dudek
2020	—	`conf`	Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. ICONIP (5) Grzegorz Dudek
2020	J	`jnl`	Multilayer perceptron for short-term load forecasting: from global to local approach. Neural Comput. Appl. Grzegorz Dudek
2020	J	`jnl`	N-BEATS neural network for mid-term electricity load forecasting. CoRR Boris N. Oreshkin, Grzegorz Dudek, Pawel Pelka
2020	J	`jnl`	Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study. CoRR Grzegorz Dudek, Pawel Pelka
2020	B	`conf`	Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. IJCNN Pawel Pelka, Grzegorz Dudek
2020	J	`jnl`	Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. CoRR Pawel Pelka, Grzegorz Dudek
2019	J	`jnl`	A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR Grzegorz Dudek
2019	J	`jnl`	Data-Driven Randomized Learning of Feedforward Neural Networks. CoRR Grzegorz Dudek
2019	J	`jnl`	Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. CoRR Grzegorz Dudek
2019	J	`jnl`	Generating random weights and biases in feedforward neural networks with random hidden nodes. Inf. Sci. Grzegorz Dudek
2019	—	`conf`	Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. IWANN (1) Grzegorz Dudek
2019	J	`jnl`	Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. CoRR Grzegorz Dudek
2019	—	`conf`	Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron. ICAISC (1) Pawel Pelka, Grzegorz Dudek
2019	—	`conf`	Sensitivity Analysis of the Neural Networks Randomized Learning. ICAISC (1) Grzegorz Dudek
2017	J	`jnl`	A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes. CoRR Grzegorz Dudek
2017	J	`jnl`	Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting. IEEE Trans. Evol. Comput. Grzegorz Dudek
2017	—	`conf`	Classification Tree for Material Defect Detection Using Active Thermography. ISAT (1) Grzegorz Dudek, Sebastian Dudzik
2017	—	`conf`	Multivariate Regression Tree for Pattern-Based Forecasting Time Series with Multiple Seasonal Cycles. ISAT (1) Grzegorz Dudek
2017	—	`conf`	Neuro-Fuzzy System for Medium-Term Electric Energy Demand Forecasting. ISAT (1) Pawel Pelka, Grzegorz Dudek
2016	J	`jnl`	Neural networks for pattern-based short-term load forecasting: A comparative study. Neurocomputing Grzegorz Dudek
2015	—	`conf`	Extreme Learning Machine as a Function Approximator: Initialization of Input Weights and Biases. CORES Grzegorz Dudek
2015	—	`conf`	Extreme learning machine for function approximation - interval problem of input weights and biases. CYBCONF Grzegorz Dudek
2015	J	`jnl`	Pattern similarity-based methods for short-term load forecasting - Part 1: Principles. Appl. Soft Comput. Grzegorz Dudek
2015	J	`jnl`	Pattern similarity-based methods for short-term load forecasting - Part 2: Models. Appl. Soft Comput. Grzegorz Dudek
2014	—	`conf`	Generalized Regression Neural Network for Forecasting Time Series with Multiple Seasonal Cycles. IEEE Conf. on Intelligent Systems (2) Grzegorz Dudek
2014	—	`conf`	Short-Term Load Forecasting Using Random Forests. IEEE Conf. on Intelligent Systems (2) Grzegorz Dudek
2014	—	`conf`	Tournament Searching Method for Optimization of the Forecasting Model Based on the Nadaraya-Watson Estimator. ICAISC (2) Grzegorz Dudek
2013	J	`jnl`	Artificial Immune System for Forecasting Time Series with Multiple Seasonal Cycles. Trans. Comput. Collect. Intell. Grzegorz Dudek
2013	—	`conf`	Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning. ICAISC (1) Grzegorz Dudek
2013	J	`jnl`	Genetic algorithm with binary representation of generating unit start-up and shut-down times for the unit commitment problem. Expert Syst. Appl. Grzegorz Dudek
2012	J	`jnl`	An Artificial Immune System for Classification With Local Feature Selection. IEEE Trans. Evol. Comput. Grzegorz Dudek
2012	—	`conf`	Tournament Feature Selection with Directed Mutations. ICAISC (SIDE-EC) Grzegorz Dudek
2012	—	`conf`	Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model. ICAISC (2) Grzegorz Dudek
2011	—	`conf`	Artificial Immune Clustering Algorithm to Forecasting Seasonal Time Series. ICCCI (1) Grzegorz Dudek
2010	—	`conf`	Tournament Searching Method to Feature Selection Problem. ICAISC (2) Grzegorz Dudek
2008	Misc	`conf`	Artificial Immune System for Short-Term Electric Load Forecasting. ICAISC Grzegorz Dudek