Piotr S. Maciag

17 papers B 2C 4Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mining targeted spatio-temporal sequential patterns. GeoInformatica Piotr S. Maciag
2023	J	`jnl`	Discovery of crime event sequences with constricted spatio-temporal sequential patterns. J. Big Data Piotr S. Maciag, Robert Bembenik, Artur Dubrawski
2023	J	`jnl`	Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
2022	C	`conf`	A Comparative Study of Short Text Classification with Spiking Neural Networks. FedCSIS Piotr S. Maciag, Wojciech Sitek, Lukasz Skonieczny, Henryk Rybinski
2021	J	`jnl`	Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns. CoRR Piotr S. Maciag, Robert Bembenik, Artur Dubrawski
2021	J	`jnl`	Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. Neural Networks Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
2020	B	`conf`	Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction. IJCNN Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik
2019	C	`conf`	A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data. ICPRAM Piotr S. Maciag
2019	C	`conf`	A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data. ICPRAM Piotr S. Maciag, Robert Bembenik
2019	J	`jnl`	Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area. Environ. Model. Softw. Piotr S. Maciag, Nikola K. Kasabov, Marzena Kryszkiewicz, Robert Bembenik
2019	B	`conf`	Discovery of closed spatio-temporal sequential patterns from event data. KES Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik
2019	—	`ch.`	Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach. Intelligent Methods and Big Data in Industrial Applications Piotr S. Maciag
2019	J	`jnl`	Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. CoRR Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
2018	C	`conf`	Efficient Discovery of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data. FedCSIS Piotr S. Maciag
2017	—	`conf`	A Survey on Data Mining Methods for Clustering Complex Spatiotemporal Data. BDAS Piotr S. Maciag
2017	J	`jnl`	Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report. CoRR Piotr S. Maciag
2017	J	`jnl`	Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data. CoRR Piotr S. Maciag