A Survey on Data Mining Methods for Clustering Complex Spatiotemporal Data. - Piotr S. Maciag (BDAS, 2017)

Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data. - Piotr S. Maciag (CoRR, 2017)

Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report. - Piotr S. Maciag (CoRR, 2017)

Efficient Discovery of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data. - Piotr S. Maciag (FedCSIS, 2018)

Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach. - Piotr S. Maciag (Intelligent Methods and Big Data in Industrial Applications, 2019)

A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data. - Piotr S. Maciag (ICPRAM, 2019)

A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data. - Piotr S. Maciag; Robert Bembenik (ICPRAM, 2019)

Discovery of closed spatio-temporal sequential patterns from event data. - Piotr S. Maciag; Marzena Kryszkiewicz; Robert Bembenik (KES, 2019)

Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area. - Piotr S. Maciag; Nikola K. Kasabov; Marzena Kryszkiewicz; Robert Bembenik (Environ. Model. Softw., 2019)

Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction. - Piotr S. Maciag; Marzena Kryszkiewicz; Robert Bembenik (IJCNN, 2020)

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. - Piotr S. Maciag; Marzena Kryszkiewicz; Robert Bembenik; Jesus L. Lobo; Javier Del Ser (Neural Networks, 2021)

A Comparative Study of Short Text Classification with Spiking Neural Networks. - Piotr S. Maciag; Wojciech Sitek; Lukasz Skonieczny; Henryk Rybinski (FedCSIS, 2022)

Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. - Piotr S. Maciag; Robert Bembenik; Aleksandra Piekarzewicz; Javier Del Ser; Jesus L. Lobo; Nikola K. Kasabov (Environ. Model. Softw., 2023)

Discovery of crime event sequences with constricted spatio-temporal sequential patterns. - Piotr S. Maciag; Robert Bembenik; Artur Dubrawski (J. Big Data, 2023)

Mining targeted spatio-temporal sequential patterns. - Piotr S. Maciag (GeoInformatica, 2025)