| Self-organizing artificial neural networks into hydrographic big data reduction process A Stateczny, M Wlodarczyk-Sielicka Rough Sets and Intelligent Systems Paradigms: Second International …, 2014 | 58 | 2014 |
| Side-scan sonar analysis using ROI analysis and deep neural networks D Połap, N Wawrzyniak, M Włodarczyk-Sielicka IEEE Transactions on Geoscience and Remote Sensing 60, 1-8, 2022 | 47 | 2022 |
| Automatic ship classification for a riverside monitoring system using a cascade of artificial intelligence techniques including penalties and rewards D Połap, M Włodarczyk-Sielicka, N Wawrzyniak ISA transactions 121, 232-239, 2022 | 41 | 2022 |
| Clustering bathymetric data for electronic navigational charts M Wlodarczyk–Sielicka, A Stateczny The Journal of Navigation 69 (5), 1143-1153, 2016 | 41 | 2016 |
| Technology of spatial data geometrical simplification in maritime mobile information system for coastal waters W Kazimierski, M Włodarczyk-Sielicka Polish Maritime Research 23 (3), 3-12, 2016 | 37 | 2016 |
| Comparison of selected reduction methods of bathymetric data obtained by multibeam echosounder M Wlodarczyk-Sielicka, A Stateczny 2016 Baltic Geodetic Congress (BGC Geomatics), 73-77, 2016 | 27 | 2016 |
| Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods M Wlodarczyk-Sielicka, A Stateczny 2015 16th International Radar Symposium (IRS), 1129-1134, 2015 | 24 | 2015 |
| Comparison of selected clustering algorithms of raw data obtained by interferometric methods using artificial neural networks M Wlodarczyk-Sielicka, J Lubczonek, A Stateczny 2016 17th International Radar Symposium (IRS), 1-5, 2016 | 21 | 2016 |
| Classification of non-conventional ships using a neural bag-of-words mechanism D Polap, M Wlodarczyk-Sielicka Sensors 20 (6), 1608, 2020 | 20 | 2020 |
| Multibeam echosounder and LiDAR in process of 360-degree numerical map production for restricted waters with HydroDron A Stateczny, M Wlodarczyk-Sielicka, D Gronska, W Motyl 2018 Baltic Geodetic Congress (BGC Geomatics), 288-292, 2018 | 20 | 2018 |
| Importance of neighborhood parameters during clustering of bathymetric data using neural network M Wlodarczyk-Sielicka Information and Software Technologies: 22nd International Conference, ICIST …, 2016 | 17 | 2016 |
| Automatic classification using machine learning for non-conventional vessels on inland waters M Wlodarczyk-Sielicka, D Polap Sensors 19 (14), 3051, 2019 | 16 | 2019 |
| General concept of reduction process for big data obtained by interferometric methods M Wlodarczyk-Sielicka, A Stateczny 2017 18th International Radar Symposium (IRS), 1-10, 2017 | 11 | 2017 |
| Fragmentation of hydrographic big data into subsets during reduction process M Wlodarczyk-Sielicka, A Stateczny 2017 Baltic Geodetic Congress (BGC Geomatics), 193-198, 2017 | 11 | 2017 |
| Processing of bathymetric data: The fusion of new reduction methods for spatial big data M Wlodarczyk-Sielicka, W Blaszczak-Bak Sensors 20 (21), 6207, 2020 | 10 | 2020 |
| The use of an artificial neural network to process hydrographic big data during surface modeling M Wlodarczyk-Sielicka, J Lubczonek Computers 8 (1), 26, 2019 | 10 | 2019 |
| Methodology for developing a combined bathymetric and topographic surface model using interpolation and geodata reduction techniques J Lubczonek, M Wlodarczyk-Sielicka, M Lacka, G Zaniewicz Remote Sensing 13 (21), 4427, 2021 | 9 | 2021 |
| The reduction method of bathymetric datasets that preserves true geodata M Wlodarczyk-Sielicka, A Stateczny, J Lubczonek Remote Sensing 11 (13), 1610, 2019 | 9 | 2019 |
| Quality of life assessment in students from Polish universities during the COVID-19 pandemic according to WHO quality of life questionnaire A Trzcionka, M Włodarczyk-Sielicka, P Surmiak, A Szymańska, A Pohl, ... International Journal of Environmental Research and Public Health 19 (13), 8117, 2022 | 7 | 2022 |
| Sensors and sensor’s fusion in autonomous vehicles A Stateczny, M Wlodarczyk-Sielicka, P Burdziakowski Sensors 21 (19), 6586, 2021 | 7 | 2021 |
