Granular Computing in Decision Approximation L Polkowski, P Artiemjew, A Application, R Mereology Springer International Publishing, 2015 | 63 | 2015 |
Classifiers from granulated data sets: Concept dependent and layered granulation P Artiemjew Proceedings RSKD 7, 1-9, 2007 | 31 | 2007 |
On granular rough computing: Factoring classifiers through granulated decision systems L Polkowski, P Artiemjew Rough Sets and Intelligent Systems Paradigms: International Conference …, 2007 | 31 | 2007 |
On classification of data by means of rough mereological granules of objects and rules P Artiemjew Rough Sets and Knowledge Technology: Third International Conference, RSKT …, 2008 | 28 | 2008 |
Deep learning for RFI artifact recognition in Sentinel-1 data P Artiemjew, A Chojka, J Rapiński Remote Sensing 13 (1), 7, 2020 | 25 | 2020 |
On granular rough computing with missing values L Polkowski, P Artiemjew Rough Sets and Intelligent Systems Paradigms: International Conference …, 2007 | 25 | 2007 |
RFI artefacts detection in Sentinel-1 level-1 SLC data based on image processing techniques A Chojka, P Artiemjew, J Rapiński Sensors 20 (10), 2919, 2020 | 24 | 2020 |
Granular computing: Granular classifiers and missing values L Polkowski, P Artiemjew 6th IEEE International Conference on Cognitive Informatics, 186-194, 2007 | 22 | 2007 |
On strategies of knowledge granulation and applications to decision systems P Artiemjew Polish Japanese institute of Information Technology. Warsaw, PhD …, 2009 | 19 | 2009 |
Rough mereological classifiers obtained from weak variants of rough inclusions P Artiemjew Rough Sets and Knowledge Technology: Third International Conference, RSKT …, 2008 | 19 | 2008 |
Granular computing in the frame of rough mereology. a case study: Classification of data into decision categories by means of granular reflections of data L Polkowski, P Artiemjew International journal of intelligent systems 26 (6), 555-571, 2011 | 17 | 2011 |
On classifying mappings induced by granular structures L Polkowski, P Artiemjew Transactions on Rough Sets IX, 264-286, 2008 | 16 | 2008 |
Diagnosis of varroosis based on bee brood samples testing with use of semiconductor gas sensors B Bąk, J Wilk, P Artiemjew, J Wilde, M Siuda Sensors 20 (14), 4014, 2020 | 15 | 2020 |
Natural versus granular computing: Classifiers from granular structures P Artiemjew Rough Sets and Current Trends in Computing: 6th International Conference …, 2008 | 14 | 2008 |
A study in granular computing: On classifiers induced from granular reflections of data L Polkowski, P Artiemjew Transactions on Rough Sets IX, 230-263, 2008 | 14 | 2008 |
Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models M Kruk, AM Goździejewska, P Artiemjew Scientific reports 12 (1), 16145, 2022 | 10 | 2022 |
The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters M Kruk, P Artiemjew, E Paturej Ecological Informatics 66, 101462, 2021 | 10 | 2021 |
A novel ensemble model-the random granular reflections P Artiemjew, K Ropiak Fundamenta Informaticae 179 (2), 183-203, 2021 | 10 | 2021 |
On a hybridization of deep learning and rough set based granular computing K Ropiak, P Artiemjew Algorithms 13 (3), 63, 2020 | 10 | 2020 |
A new classifier based on the dual indiscernibility matrix P Artiemjew, BA Nowak, LT Polkowski Information and Software Technologies: 22nd International Conference, ICIST …, 2016 | 10 | 2016 |