Piotr S. Maciag
Orcid: 0000-0001-5486-7927
According to our database1,
Piotr S. Maciag
authored at least 14 papers
between 2017 and 2023.
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Bibliography
2023
Discovery of crime event sequences with constricted spatio-temporal sequential patterns.
J. Big Data, December, 2023
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks.
Environ. Model. Softw., December, 2023
2022
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
2021
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
Neural Networks, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area.
Environ. Model. Softw., 2019
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
A Framework for Discovering Frequent Event Graphs from Uncertain Event-based Spatio-temporal Data.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
Efficient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach.
Proceedings of the Intelligent Methods and Big Data in Industrial Applications., 2019
2018
Efficient Discovery of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018
2017
Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report.
CoRR, 2017
Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data.
CoRR, 2017
Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017