Piotr Artiemjew

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 44

Top Topics

Bayes Classifier

Rough Mereology

Granular Computing

Top Venues

Publications

Jakub Malinowski, Piotr Artiemjew, Wojciech Cybowski
Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study. CSEDU (1) (2024)
Aleksandra Szpakowska, Piotr Artiemjew
Three-Dimensional Path Planning: Navigating through Rough Mereology. CoRR (2024)
Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine. CoRR (2024)
Piotr Artiemjew, Radoslaw Cybulski, Mohammad Hassan Emamian, Andrzej Grzybowski, Andrzej Jankowski, Carla Lanca, Shiva Mehravaran, Marcin Mlynski, Cezary Morawski, Klaus Nordhausen, Olavi Pärssinen, Krzysztof Ropiak
Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models. ICAART (3) (2024)
Radoslaw Cybulski, Piotr Artiemjew
Data Streaming in Concept-Dependent Granulation. BigData (2023)
Aleksandra Szpakowska, Piotr Artiemjew, Wojciech Cybowski
Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal. IJCRS (2023)
Agnieszka Niemczynowicz, Radoslaw A. Kycia, Maciej Jaworski, Artur Siemaszko, Jose M. Calabuig, Lluís Miquel Garcia-Raffi, Baruch Schneider, Diana Berseghyan, Irina Perfiljeva, Vilem Novak, Piotr Artiemjew
Selected aspects of complex, hypercomplex and fuzzy neural networks. CoRR (2023)
Beata Bak, Jakub Wilk, Piotr Artiemjew, Maciej Siuda, Jerzy Wilde
The Identification of Bee Comb Cell Contents Using Semiconductor Gas Sensors. Sensors 23 (24) (2023)
Beata Bak, Jaroslaw Szkola, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde
In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks. Sensors 22 (3) (2022)
Piotr Artiemjew, Slawomir Konrad Tadeja
Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values. ICAART (3) (2022)
Radoslaw Cybulski, Piotr Artiemjew
Application of Random Sampling in the Concept-Dependent Granulation Method. FedCSIS (Position Papers) (2022)
Radoslaw Cybulski, Piotr Artiemjew
Accelerating concept-dependent granulation technique using data decomposition. Big Data (2022)
Jaroslaw Szkola, Piotr Artiemjew
Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems. ICAART (3) (2022)
Aleksandra Weiss, Marcin Mlynski, Piotr Artiemjew
About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve. FedCSIS (2022)
Jakub Wilk, Beata Bak, Piotr Artiemjew, Jerzy Wilde, Maciej Siuda
Classifying the Biological Status of Honeybee Workers Using Gas Sensors. Sensors 21 (1) (2021)
Szymon Nitkiewicz, Robert Baranski, Marek A. Galewski, Hanna Zajaczkiewicz, Andrzej Kukwa, Andrzej Zajac, Stanislaw Ejdys, Piotr Artiemjew
Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans. Sensors 21 (10) (2021)
Piotr Artiemjew, Krzysztof Ropiak
A Novel Ensemble Model - The Random Granular Reflections. Fundam. Informaticae 179 (2) (2021)
Marek Kruk, Piotr Artiemjew, Ewa Paturej
The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters. Ecol. Informatics 66 (2021)
Piotr Artiemjew, Agnieszka Chojka, Jacek Rapinski
Deep Learning for RFI Artifact Recognition in Sentinel-1 Data. Remote. Sens. 13 (1) (2021)
Beata Bak, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors. Sensors 21 (14) (2021)
Krzysztof Ropiak, Piotr Artiemjew
On a Hybridization of Deep Learning and Rough Set Based Granular Computing. Algorithms 13 (3) (2020)
Piotr Artiemjew, Krzysztof Ropiak
On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation. Comput. 9 (1) (2020)
Piotr Artiemjew
About Granular Rough Computing - Overview of Decision System Approximation Techniques and Future Perspectives. Algorithms 13 (4) (2020)
Beata Bak, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde, Maciej Siuda
Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors. Sensors 20 (14) (2020)
Piotr Artiemjew, Aleksandra Kislak-Malinowska
Indiscernibility Mask Key for Image Steganography. Comput. 9 (2) (2020)
Agnieszka Chojka, Piotr Artiemjew, Jacek Rapinski
RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques. Sensors 20 (10) (2020)
Krzysztof Ropiak, Piotr Artiemjew
Random Forests and Homogeneous Granulation. ICIST (2020)
Piotr Artiemjew, Lada Rudikova, Oleg Myslivets
About Rule-Based Systems: Single Database Queries for Decision Making. Future Internet 12 (12) (2020)
Piotr Artiemjew, Pawel Idzikowski
Building an Ensemble of Naive Bayes Classifiers using Committee of Bootstraps and Monte Carlo splits for a various percentage of random objects from training set. CS&P (2019)
Krzysztof Ropiak, Piotr Artiemjew
Homogenous Granulation and Its Epsilon Variant. Comput. 8 (2) (2019)
Piotr Artiemjew, Krzysztof Ropiak
Robot Localization in the Magnetic Unstable Environment. IRC (2019)
Piotr Artiemjew, Krzysztof Ropiak
Missing Values Absorption Based on Homogenous Granulation. ICIST (2019)
Piotr Artiemjew, Aleksandra Kislak-Malinowska
Using r-indiscernibility Relations to Hide the Presence of Information for the Least Significant Bit Steganography Technique. ICIST (2019)
Krzysztof Ropiak, Piotr Artiemjew
On Granular Rough Computing: Epsilon Homogenous Granulation. IJCSR (2018)
Lech Polkowski, Lukasz Zmudzinski, Piotr Artiemjew
Robot Navigation and Path Planning by Means of Rough Mereology. IRC (2018)
Krzysztof Ropiak, Piotr Artiemjew
A Study in Granular Computing: Homogenous Granulation. ICIST (2018)
Piotr Artiemjew
Boosting Effect of Classifier Based on Simple Granules of Knowledge. Inf. Technol. Control. 47 (2) (2018)
Piotr Artiemjew, Krzysztof Ropiak
A Novel Ensemble Model - The Random Granular Reflections. CS&P (2018)
Lukasz Zmudzinski, Piotr Artiemjew
Path Planning Based on Potential Fields from Rough Mereology. IJCRS (2) (2017)
Piotr Artiemjew
Ensemble of Classifiers Based on Simple Granules of Knowledge. ICIST (2017)
Piotr Artiemjew, Bartosz A. Nowak, Lech T. Polkowski
A New Classifier Based on the Dual Indiscernibility Matrix. ICIST (2016)
Jacek Szypulski, Piotr Artiemjew
The Rough Granular Approach to Classifier Synthesis by Means of SVM. RSFDGrC (2015)
Piotr Artiemjew
The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions. RSFDGrC (2015)
Piotr Artiemjew
The Localization of Mindstorms NXT in the Magnetic Unstable Environment Based on Histogram Filtering. ICAART (2) (2015)
Piotr Artiemjew
Rough mereology classifier vs. simple DNA microarray gene extraction methods. Int. J. Data Min. Model. Manag. 6 (2) (2014)
Piotr Artiemjew, Przemyslaw Górecki
Visual Dictionary Pruning Using Mutual Information and Information Gain. ICAISC (2) (2014)
Pawel Drozda, Przemyslaw Górecki, Krzysztof Sopyla, Piotr Artiemjew
Visual words sequence alignment for image classification. ICCI*CC (2013)
Przemyslaw Górecki, Piotr Artiemjew, Pawel Drozda, Krzysztof Sopyla
Visual words selection based on class separation measures. ICCI*CC (2013)
Przemyslaw Górecki, Piotr Artiemjew, Pawel Drozda, Krzysztof Sopyla
Categorization of Similar Objects using Bag of Visual Words and Support Vector Machines. ICAART (1) (2012)
Piotr Artiemjew
Granular Covering Selection Methods Dependent on the Granule Size. RSKT (2012)
Piotr Artiemjew
The Extraction Method of DNA Microarray Features Based on Experimental A Statistics. RSKT (2011)
Piotr Artiemjew
Statistics vs. Classifier Based on Rough Mereology. ISMIS (2011)
Lech Polkowski, Piotr Artiemjew
Granular computing in the frame of rough mereology. A case study: Classification of data into decision categories by means of granular reflections of data. Int. J. Intell. Syst. 26 (6) (2011)
Piotr Artiemjew
Classifiers based on rough mereology in analysis of DNA microarray data. SoCPaR (2010)
Przemyslaw Górecki, Piotr Artiemjew
DNA microarray classification by means of weighted voting based on rough set classifier. SoCPaR (2010)
Lech Polkowski, Piotr Artiemjew
On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology. Int. J. Comput. Intell. Syst. 2 (4) (2009)
Piotr Artiemjew
Natural versus Granular Computing: Classifiers from Granular Structures. RSCTC (2008)
Piotr Artiemjew
On Classification of Data by Means of Rough Mereological Granules of Objects and Rules. RSKT (2008)
Lech Polkowski, Piotr Artiemjew
On Classifying Mappings Induced by Granular Structures. Trans. Rough Sets 9 (2008)
Piotr Artiemjew
Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions. RSKT (2008)
Lech Polkowski, Piotr Artiemjew
Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions. RSCTC (2008)
Lech Polkowski, Piotr Artiemjew
A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data. Trans. Rough Sets 9 (2008)
Lech Polkowski, Piotr Artiemjew
Granular Computing: Granular Classifiers and Missing Values. IEEE ICCI (2007)
Lech Polkowski, Piotr Artiemjew
On Granular Rough Computing with Missing Values. RSEISP (2007)
Lech Polkowski, Piotr Artiemjew
On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems. RSEISP (2007)