P. Maciag

Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area

Robert Bembenik, Nikola Kasabov, Marzena Kryszkiewicz, 2019, Environ. Model. Softw..

A Comparative Study of Short Text Classification with Spiking Neural Networks

H. Rybinski, W. Sitek, P. Maciag, 2022, 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS).

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Robert Bembenik, Javier Del Ser, Marzena Kryszkiewicz, 2019, Neural Networks.

Co-Productivity as a New Value Theory in Value Chain Analysis

S. Jarzębowski, Adam Noga, P. Maciag, 2020 .

Efficient Discovery of Top-K Sequential Patterns in Event-Based Spatia-Temporal Data

Piotr S. Maciag, P. Maciag, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report pdf

Piotr S. Maciag, P. Maciag, 2017, ArXiv.

Discovery of crime event sequences with constricted spatio-temporal sequential patterns pdf

Robert Bembenik, Artur Dubrawski, Piotr S. Maciag, 2021, Journal of Big Data.

A Survey on Data Mining Methods for Clustering Complex Spatiotemporal Data

Piotr S. Maciag, P. Maciag, 2017, BDAS.