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Piotr Artiemjew

Observed names: Artiemjew, P, Artiemjew, Piotr
ORCID: 0000-0001-5508-9856
Observed ORCID: 0000-0001-5508-9856
OpenAlex ID: A5006908029
Granular Computing in Decision Approximation
2014 · Lech Polkowski, Piotr Artiemjew · Intelligent systems reference library · 55
RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques
2020 · Agnieszka Chojka, Piotr Artiemjew, et al. · Sensors · 29
Deep Learning for RFI Artifact Recognition in Sentinel-1 Data
2020 · Piotr Artiemjew, Agnieszka Chojka, et al. · Remote Sensing · 27
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On Classification of Data by Means of Rough Mereological Granules of Objects and Rules
2008 · Piotr Artiemjew · Springer eBooks · 20
Granular Computing: Granular Classifiers and Missing Values
2007 · Lech Polkowski, Piotr Artiemjew · IEEE International Conference on Cognitive Informatics · 19
On Granular Rough Computing with Missing Values
2007 · Lech Polkowski, Piotr Artiemjew · Lecture notes in computer science · 19
Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models
2022 · Marek Kruk, Anna Maria Goździejewska, et al. · Scientific Reports · 18
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On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems
2007 · Lech Polkowski, Piotr Artiemjew · Lecture notes in computer science · 17
Granular computing in the frame of rough mereology. A case study: Classification of data into decision categories by means of granular reflections of data
2011 · Lech Polkowski, Piotr Artiemjew · International Journal of Intelligent Systems · 16
On Classifying Mappings Induced by Granular Structures
2008 · Lech Polkowski, Piotr Artiemjew · Lecture notes in computer science · 15
The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters
2021 · Marek Kruk, Piotr Artiemjew, et al. · Ecological Informatics · 14
From explanatory to predictive network modeling of relationships among ecological indicators in the shallow temperate lagoon
2020 · Marek Kruk, Ewa Paturej, et al. · Ecological Indicators · 14
Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors
2020 · Beata Bąk, Jakub Wilk, et al. · Sensors · 13
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On a Hybridization of Deep Learning and Rough Set Based Granular Computing
2020 · Krzysztof Ropiak, Piotr Artiemjew · Algorithms · 13
A Novel Ensemble Model - The Random Granular Reflections
2021 · Piotr Artiemjew, Krzysztof Ropiak · Fundamenta Informaticae · 12
A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data
2008 · Lech Polkowski, Piotr Artiemjew · Lecture notes in computer science · 12
Indiscernibility Mask Key for Image Steganography
2020 · Piotr Artiemjew, Aleksandra Kislak-Malinowska · Computers · 11
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Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions
2008 · Piotr Artiemjew · Springer eBooks · 11
A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms
2012 · Piotr Artiemjew · Intelligent systems reference library · 10
A critical analysis of the theoretical framework of the Extreme Learning Machine
2025 · Irina Perfilieva, Nicolás Madrid, et al. · Neurocomputing · 9
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The Rough Granular Approach to Classifier Synthesis by Means of SVM
2015 · Jacek Szypulski, Piotr Artiemjew · Lecture notes in computer science · 9
Visual words sequence alignment for image classification
2013 · Pawel Drozda, Przemyslaw Gorecki, et al. · IEEE International Conference on Cognitive Informatics · 9
Natural versus Granular Computing: Classifiers from Granular Structures
2008 · Piotr Artiemjew · Lecture notes in computer science · 9
A New Classifier Based on the Dual Indiscernibility Matrix
2016 · Piotr Artiemjew, Bartosz A. Nowak, et al. · Communications in computer and information science · 8
Categorization of Similar Objects Using Bag of Visual Words and Support Vector Machines
2012 · Przemysław Górecki, Piotr Artiemjew, et al. · International Conference on Agents and Artificial Intelligence (ICAART) · 8
Works count: 109
Citation count: 569
H-index: 13
I10-index: 19
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