| 2025 | DSAA | Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts. | Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder |
| 2024 | ICCS | Stacking for Probabilistic Short-Term Load Forecasting. | Grzegorz Dudek |
| 2024 | ICCS | Automatic Kernel Construction During the Neural Network Learning by Modified Fast Singular Value Decomposition. | Norbert Jankowski, Grzegorz Dudek |
| 2023 | DSAA | Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. | Grzegorz Dudek |
| 2023 | ICCS | Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. | Slawek Smyl, Grzegorz Dudek, Pawel Pelka |
| 2023 | IWANN | Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality. | Grzegorz Dudek |
| 2022 | ICCS | Boosted Ensemble Learning Based on Randomized NNs for Time Series Forecasting. | Grzegorz Dudek |
| 2022 | IJCNN | ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. | Slawek Smyl, Grzegorz Dudek, Pawel Pelka |
| 2021 | ICAISC | Data-Driven Learning of Feedforward Neural Networks with Different Activation Functions. | Grzegorz Dudek |
| 2021 | ICONIP | Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting. | Grzegorz Dudek, Pawel Pelka |
| 2021 | IJCNN | Autoencoder based Randomized Learning of Feedforward Neural Networks for Regression. | Grzegorz Dudek |
| 2021 | IWANN | Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. | Grzegorz Dudek |
| 2020 | ICAISC | Are Direct Links Necessary in Random Vector Functional Link Networks for Regression? | Grzegorz Dudek |
| 2020 | ICAISC | Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods. | Pawel Pelka, Grzegorz Dudek |
| 2020 | ICONIP | Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It. | Grzegorz Dudek |
| 2020 | ICONIP | 3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. | Grzegorz Dudek, Pawel Pelka, Slawek Smyl |
| 2020 | IJCNN | Data-Driven Randomized Learning of Feedforward Neural Networks. | Grzegorz Dudek |
| 2020 | IJCNN | Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting. | Pawel Pelka, Grzegorz Dudek |
| 2019 | ICAISC | Sensitivity Analysis of the Neural Networks Randomized Learning. | Grzegorz Dudek |
| 2019 | ICAISC | Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron. | Pawel Pelka, Grzegorz Dudek |
| 2019 | IWANN | Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. | Grzegorz Dudek |
| 2014 | ICAISC | Tournament Searching Method for Optimization of the Forecasting Model Based on the Nadaraya-Watson Estimator. | Grzegorz Dudek |
| 2013 | ICAISC | Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning. | Grzegorz Dudek |
| 2012 | ICAISC | Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model. | Grzegorz Dudek |
| 2012 | ICAISC | Tournament Feature Selection with Directed Mutations. | Grzegorz Dudek |
| 2011 | ICCCI | Artificial Immune Clustering Algorithm to Forecasting Seasonal Time Series. | Grzegorz Dudek |
| 2010 | ICAISC | Tournament Searching Method to Feature Selection Problem. | Grzegorz Dudek |
| 2008 | ICAISC | Artificial Immune System for Short-Term Electric Load Forecasting. | Grzegorz Dudek |