DataGarage: Warehousing Massive Performance Data on Commodity Servers. - Charles Loboz; Slawek Smyl; Suman Nath (Proc. VLDB Endow., 2010)

Fuzzy prophet: parameter exploration in uncertain enterprise scenarios. - Oliver Kennedy; Steve Lee; Charles Loboz; Slawek Smyl; Suman Nath (SIGMOD Conference, 2011)

Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. - Kasun Bandara; Christoph Bergmeir; Slawek Smyl (CoRR, 2017)

3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. - Grzegorz Dudek; Pawel Pelka; Slawek Smyl (ICONIP (3), 2020)

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. - Grzegorz Dudek; Pawel Pelka; Slawek Smyl (CoRR, 2020)

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. - Kasun Bandara; Christoph Bergmeir; Slawek Smyl (Expert Syst. Appl., 2020)

Ensembles of localised models for time series forecasting. - Rakshitha Godahewa; Kasun Bandara; Geoffrey I. Webb; Slawek Smyl; Christoph Bergmeir (Knowl. Based Syst., 2021)

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. - Slawek Smyl; Grzegorz Dudek; Pawel Pelka (IJCNN, 2022)

Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. - Grzegorz Dudek; Slawek Smyl; Pawel Pelka (CoRR, 2022)

A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. - Grzegorz Dudek; Pawel Pelka; Slawek Smyl (IEEE Trans. Neural Networks Learn. Syst., 2022)

Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. - Slawek Smyl; Grzegorz Dudek; Pawel Pelka (ICCS (1), 2023)

Local and Global Trend Bayesian Exponential Smoothing Models. - Slawek Smyl; Christoph Bergmeir; Alexander Dokumentov; Erwin Wibowo; Daniel F. Schmidt (CoRR, 2023)

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. - Slawek Smyl; Boris N. Oreshkin; Pawel Pelka; Grzegorz Dudek (CoRR, 2024)

Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting. - Abishek Sriramulu; Christoph Bergmeir; Slawek Smyl (CoRR, 2024)

Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. - Xueying Long; Daniel F. Schmidt; Christoph Bergmeir; Slawek Smyl (CoRR, 2024)

Predicting Customer Lifetime Value Using Recurrent Neural Net. - Huigang Chen; Edwin Ng; Gavin Steininger; Slawek Smyl (CoRR, 2024)

Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. - Slawek Smyl; Grzegorz Dudek; Pawel Pelka (Neural Networks, 2024)

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. - Slawek Smyl; Grzegorz Dudek; Pawel Pelka (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model. - Xueying Long; Daniel F. Schmidt; Christoph Bergmeir; Slawek Smyl (Stat. Comput., 2025)