Milena Strůżyna
Milena Strůżyna
Verified email at ue.poznan.pl
Title
Cited by
Cited by
Year
A framework for the quality-based selection and retrieval of open data-a use case from the maritime domain
M Strůżyna, G Eiden, W Abramowicz, D Filipiak, J Małyszko, K Węcel
Electronic Markets 28 (2), 219-233, 2018
162018
Anomaly detection in the maritime domain: Comparison of traditional and big data approach
D Filipiak, M Strůzyna, K Wecel, W Abramowicz
NATO IST-160-RSM Specialists' Meeting on Big Data and Artificial†…, 2018
72018
Big data for anomaly detection in maritime surveillance: spatial AIS data analysis for tankers
D Filipiak, M Strůżyna, K Węcel, W Abramowicz
Zeszyty Naukowe Akademii Marynarki Wojennej 59, 2018
72018
Extracting maritime traffic networks from AIS data using evolutionary algorithm
D Filipiak, K Węcel, M Strůżyna, M Michalak, W Abramowicz
Business & Information Systems Engineering 62 (5), 435-450, 2020
52020
A methodology for quality-based selection of internet data sources in maritime domain
M Strůżyna, G Eiden, D Filipiak, J Małyszko, K Węcel
International Conference on Business Information Systems, 15-27, 2016
52016
Named Entity Disambiguation for Maritime-related Data Retrieved from Heterogenous Sources
J Małyszko, W Abramowicz, M Strůżyna
TransNav: International Journal on Marine Navigation and Safety of Sea†…, 2016
42016
A dynamic risk assessment for decision support systems in the maritime domain
M Strůżyna, W Abramowicz
Studia Ekonomiczne 243, 295-307, 2015
42015
Architecture of maritime awareness system supplied with external information
M Strůżyna, J Małyszko, K Węcel, D Filipiak, W Abramowicz
Annual of Navigation, 135--149, 2016
22016
Modelling of risk and reliability of maritime transport services
M Strůżyna
International Conference on Business Information Systems, 659-674, 2018
12018
Stream Processing Tools for Analyzing Objects in Motion Sending High-Volume Location Data
K Wecel, M Szmydt, M Strůżyna
Business Information Systems, 257-268, 2021
2021
Application of AI and In-Memory Computing for Extracting Vessel Movement Patterns from Historical Data
MS Dominik Filipiak, Milena Strůżyna, Krzysztof Węcel, Witold Abramowicz
14th NATO Operations Research and Analysis (OR&A) Conference: Emerging and†…, 2021
2021
Interview with Martin Gnass and Martin Kolbe on “Challenges and Hot Topics in the Intermodal Logistics Industry”
A Ludwig, M Strůżyna
Business & Information Systems Engineering 62 (5), 451-453, 2020
2020
Information Systems in Intermodal Transportation and Traffic Management
W Abramowicz, A Hahn, A Ludwig, M Strůżyna
Business & Information Systems Engineering, 1-2, 2020
2020
Data Quality Assessment–A Use Case from the Maritime Domain
M Strůżyna, D Filipiak, K Węcel
International Conference on Business Information Systems, 5-20, 2020
2020
Hazard Index for Assessment of Reliability of Supply and Risk in Maritime Domain
M Strůżyna
International Conference on Business Information Systems, 228-241, 2017
2017
Identyfikacja zawinięcia statku do portu z wykorzystaniem systemu automatycznej identyfikacji (AIS)
A Maciaszek, J Małyszko, M Strůżyna
Studia Oeconomica Posnaniensia 5 (12), 2017
2017
A Bayesian Network Approach to Assessing the Risk and Reliability of Maritime Transport
M Strůżyna
International Conference on Business Information Systems, 367-378, 2016
2016
The design of e-services in public administration according to the BPM approach–a case study
E Lewańska, W Sokołowska, M Strůżyna
Collegium of Economic Analysis Annals, 97-114, 2016
2016
Projektowanie e-usług dla administracji publicznej w podejściu procesowym-studium przypadku
E Lewańska, W Sokołowska, M Strůżyna
Roczniki Kolegium Analiz Ekonomicznych/Szkoła Głůwna Handlowa, 97-114, 2016
2016
Application of AI and In-Memory Computing for Extracting Vessel Movement Patterns from Historical Data
D Filipiak, M Strůżyna, K Węcel, W Abramowicz, M Steidel
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