Mining Spatial Association Rules. - Robert Bembenik; Grzegorz Protaziuk (Intelligent Information Systems, 2004)

Mining Spatial Association Rules with No Distance Parameter. - Robert Bembenik; Henryk Rybinski (Intelligent Information Systems, 2006)

FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams. - Robert Bembenik; Henryk Rybinski (J. Intell. Inf. Syst., 2009)

Lexical Ontology Layer - A Bridge between Text and Concepts. - Grzegorz Protaziuk; Anna Wróblewska; Robert Bembenik; Henryk Rybinski; Teresa Podsiadly-Marczykowska (ISMIS, 2012)

Methods and Tools for Ontology Building, Learning and Integration - Application in the SYNAT Project. - Anna Wróblewska; Teresa Podsiadly-Marczykowska; Robert Bembenik; Grzegorz Protaziuk; Henryk Rybinski (Intelligent Tools for Building a Scientific Information Platform, 2012)

Associations between Texts and Ontology. - Anna Wróblewska; Grzegorz Protaziuk; Robert Bembenik; Teresa Podsiadly-Marczykowska (Intelligent Tools for Building a Scientific Information Platform, 2013)

SYNAT System Ontology: Design Patterns Applied to Modeling of Scientific Community, Preliminary Model Evaluation. - Anna Wróblewska; Teresa Podsiadly-Marczykowska; Robert Bembenik; Henryk Rybinski; Grzegorz Protaziuk (Intelligent Tools for Building a Scientific Information Platform, 2013)

Discovering Collocation Rules and Spatial Association Rules in Spatial Data with Extended Objects Using Delaunay Diagrams. - Robert Bembenik; Aneta Ruszczyk; Grzegorz Protaziuk (RSEISP, 2014)

Towards Automatic Argument Extraction and Visualization in a Deliberative Model of Online Consultations for Local Governments. - Robert Bembenik; Piotr Andruszkiewicz (ADBIS, 2016)

SAUText - a system for analysis of unstructured textual data. - Grzegorz Protaziuk; Jacek Lewandowski; Robert Bembenik (J. Intell. Inf. Syst., 2016)

OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data. - Robert Bembenik; Jacek Szwaj; Grzegorz Protaziuk (ISMIS, 2017)

Methods for mining co-location patterns with extended spatial objects. - Robert Bembenik; Wiktor Józwicki; Grzegorz Protaziuk (Int. J. Appl. Math. Comput. Sci., 2017)

Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions. - Grzegorz Protaziuk; Robert Piatkowski; Robert Bembenik (Intelligent Methods and Big Data in Industrial Applications, 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)

BLE Indoor Positioning System Using RSSI-based Trilateration. - Robert Bembenik; Krzysztof Falcman (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 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)

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)