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Piotr Artiemjew
Tytuł
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Granular Computing in Decision Approximation
L Polkowski, P Artiemjew, A Application, R Mereology
Springer International Publishing, 2015
632015
Classifiers from granulated data sets: Concept dependent and layered granulation
P Artiemjew
Proceedings RSKD 7, 1-9, 2007
312007
On granular rough computing: Factoring classifiers through granulated decision systems
L Polkowski, P Artiemjew
Rough Sets and Intelligent Systems Paradigms: International Conference …, 2007
312007
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
282008
Deep learning for RFI artifact recognition in Sentinel-1 data
P Artiemjew, A Chojka, J Rapiński
Remote Sensing 13 (1), 7, 2020
252020
On granular rough computing with missing values
L Polkowski, P Artiemjew
Rough Sets and Intelligent Systems Paradigms: International Conference …, 2007
252007
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
242020
Granular computing: Granular classifiers and missing values
L Polkowski, P Artiemjew
6th IEEE International Conference on Cognitive Informatics, 186-194, 2007
222007
On strategies of knowledge granulation and applications to decision systems
P Artiemjew
Polish Japanese institute of Information Technology. Warsaw, PhD …, 2009
192009
Rough mereological classifiers obtained from weak variants of rough inclusions
P Artiemjew
Rough Sets and Knowledge Technology: Third International Conference, RSKT …, 2008
192008
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
172011
On classifying mappings induced by granular structures
L Polkowski, P Artiemjew
Transactions on Rough Sets IX, 264-286, 2008
162008
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
152020
Natural versus granular computing: Classifiers from granular structures
P Artiemjew
Rough Sets and Current Trends in Computing: 6th International Conference …, 2008
142008
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
142008
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
102022
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
102021
A novel ensemble model-the random granular reflections
P Artiemjew, K Ropiak
Fundamenta Informaticae 179 (2), 183-203, 2021
102021
On a hybridization of deep learning and rough set based granular computing
K Ropiak, P Artiemjew
Algorithms 13 (3), 63, 2020
102020
A new classifier based on the dual indiscernibility matrix
P Artiemjew, BA Nowak, LT Polkowski
Information and Software Technologies: 22nd International Conference, ICIST …, 2016
102016
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