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Robert Bembenik
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2020 – today
- 2023
- [j8]Piotr S. Maciag, Robert Bembenik, Aleksandra Piekarzewicz
, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov
:
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks. Environ. Model. Softw. 170: 105851 (2023) - [j7]Piotr S. Maciag, Robert Bembenik, Artur Dubrawski:
Discovery of crime event sequences with constricted spatio-temporal sequential patterns. J. Big Data 10(1): 98 (2023) - 2021
- [j6]Piotr S. Maciag
, Marzena Kryszkiewicz
, Robert Bembenik
, Jesus L. Lobo
, Javier Del Ser
:
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. Neural Networks 139: 118-139 (2021) - [i2]Piotr S. Maciag, Robert Bembenik, Artur Dubrawski:
Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns. CoRR abs/2112.01863 (2021) - 2020
- [j5]Robert Bembenik
, Krzysztof Falcman:
BLE Indoor Positioning System Using RSSI-based Trilateration. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 11(3): 50-69 (2020) - [c10]Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik
:
Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j4]Piotr S. Maciag
, Nikola K. Kasabov
, Marzena Kryszkiewicz, Robert Bembenik
:
Air pollution prediction with clustering-based ensemble of evolving spiking neural networks and a case study for London area. Environ. Model. Softw. 118: 262-280 (2019) - [c9]Piotr S. Maciag, Robert Bembenik
:
A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data. ICPRAM 2019: 459-466 - [c8]Piotr S. Maciag
, Marzena Kryszkiewicz, Robert Bembenik
:
Discovery of closed spatio-temporal sequential patterns from event data. KES 2019: 707-716 - [p4]Grzegorz Protaziuk, Robert Piatkowski, Robert Bembenik
:
Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions. Intelligent Methods and Big Data in Industrial Applications 2019: 53-71 - [e4]Robert Bembenik
, Lukasz Skonieczny
, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski
:
Intelligent Methods and Big Data in Industrial Applications. Studies in Big Data 40, Springer 2019, ISBN 978-3-319-77603-3 [contents] - [i1]Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser:
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. CoRR abs/1912.08785 (2019) - 2017
- [j3]Robert Bembenik
, Wiktor Józwicki, Grzegorz Protaziuk:
Methods for mining co-location patterns with extended spatial objects. Int. J. Appl. Math. Comput. Sci. 27(4): 681-695 (2017) - [c7]Robert Bembenik
, Jacek Szwaj, Grzegorz Protaziuk:
OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data. ISMIS 2017: 347-357 - 2016
- [j2]Grzegorz Protaziuk, Jacek Lewandowski, Robert Bembenik
:
SAUText - a system for analysis of unstructured textual data. J. Intell. Inf. Syst. 46(2): 369-389 (2016) - [c6]Robert Bembenik
, Piotr Andruszkiewicz
:
Towards Automatic Argument Extraction and Visualization in a Deliberative Model of Online Consultations for Local Governments. ADBIS 2016: 74-86 - 2014
- [c5]Grzegorz Protaziuk, Jacek Lewandowski, Robert Bembenik
:
SAUText - A System for Analysis of Unstructured Textual Data. ISMIS 2014: 425-434 - [c4]Robert Bembenik
, Aneta Ruszczyk, Grzegorz Protaziuk:
Discovering Collocation Rules and Spatial Association Rules in Spatial Data with Extended Objects Using Delaunay Diagrams. RSEISP 2014: 293-300 - [e3]Robert Bembenik
, Lukasz Skonieczny
, Henryk Rybinski
, Marzena Kryszkiewicz, Marek Niezgódka:
Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation. Studies in Computational Intelligence 541, Springer 2014, ISBN 978-3-319-04713-3 [contents] - 2013
- [p3]Anna Wróblewska
, Grzegorz Protaziuk, Robert Bembenik
, Teresa Podsiadly-Marczykowska:
Associations between Texts and Ontology. Intelligent Tools for Building a Scientific Information Platform 2013: 305-321 - [p2]Anna Wróblewska
, Teresa Podsiadly-Marczykowska, Robert Bembenik
, Henryk Rybinski
, Grzegorz Protaziuk:
SYNAT System Ontology: Design Patterns Applied to Modeling of Scientific Community, Preliminary Model Evaluation. Intelligent Tools for Building a Scientific Information Platform 2013: 323-340 - [e2]Robert Bembenik
, Lukasz Skonieczny
, Henryk Rybinski
, Marzena Kryszkiewicz, Marek Niezgodka
:
Intelligent Tools for Building a Scientific Information Platform - Advanced Architectures and Solutions. Studies in Computational Intelligence 467, Springer 2013, ISBN 978-3-642-35646-9 [contents] - 2012
- [c3]Grzegorz Protaziuk, Anna Wróblewska
, Robert Bembenik
, Henryk Rybinski
, Teresa Podsiadly-Marczykowska:
Lexical Ontology Layer - A Bridge between Text and Concepts. ISMIS 2012: 162-171 - [p1]Anna Wróblewska
, Teresa Podsiadly-Marczykowska, Robert Bembenik
, Grzegorz Protaziuk, Henryk Rybinski
:
Methods and Tools for Ontology Building, Learning and Integration - Application in the SYNAT Project. Intelligent Tools for Building a Scientific Information Platform 2012: 121-151 - [e1]Robert Bembenik
, Lukasz Skonieczny
, Henryk Rybinski
, Marek Niezgódka:
Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence 390, Springer 2012, ISBN 978-3-642-24808-5 [contents]
2000 – 2009
- 2009
- [j1]Robert Bembenik
, Henryk Rybinski
:
FARICS: a method of mining spatial association rules and collocations using clustering and Delaunay diagrams. J. Intell. Inf. Syst. 33(1): 41-64 (2009) - 2006
- [c2]Robert Bembenik
, Henryk Rybinski
:
Mining Spatial Association Rules with No Distance Parameter. Intelligent Information Systems 2006: 499-508 - 2004
- [c1]Robert Bembenik, Grzegorz Protaziuk:
Mining Spatial Association Rules. Intelligent Information Systems 2004: 3-12
Coauthor Index
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