Granular Computing: Granular Classifiers and Missing Values. - Lech Polkowski; Piotr Artiemjew (IEEE ICCI, 2007)

On Granular Rough Computing with Missing Values. - Lech Polkowski; Piotr Artiemjew (RSEISP, 2007)

On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems. - Lech Polkowski; Piotr Artiemjew (RSEISP, 2007)

Natural versus Granular Computing: Classifiers from Granular Structures. - Piotr Artiemjew (RSCTC, 2008)

Rough Mereology in Classification of Data: Voting by Means of Residual Rough Inclusions. - Lech Polkowski; Piotr Artiemjew (RSCTC, 2008)

On Classification of Data by Means of Rough Mereological Granules of Objects and Rules. - Piotr Artiemjew (RSKT, 2008)

Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions. - Piotr Artiemjew (RSKT, 2008)

A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data. - Lech Polkowski; Piotr Artiemjew (Trans. Rough Sets, 2008)

On Classifying Mappings Induced by Granular Structures. - Lech Polkowski; Piotr Artiemjew (Trans. Rough Sets, 2008)

Rough Sets In Data Analysis: Foundations and Applications. - Lech Polkowski; Piotr Artiemjew (Applications of Computational Intelligence in Biology, 2008)

On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology. - Lech Polkowski; Piotr Artiemjew (Int. J. Comput. Intell. Syst., 2009)

Classifiers based on rough mereology in analysis of DNA microarray data. - Piotr Artiemjew (SoCPaR, 2010)

DNA microarray classification by means of weighted voting based on rough set classifier. - Przemyslaw Górecki; Piotr Artiemjew (SoCPaR, 2010)

The Extraction Method of DNA Microarray Features Based on Modified F Statistics vs. Classifier Based on Rough Mereology. - Piotr Artiemjew (ISMIS, 2011)

The Extraction Method of DNA Microarray Features Based on Experimental A Statistics. - Piotr Artiemjew (RSKT, 2011)

Granular computing in the frame of rough mereology. A case study: Classification of data into decision categories by means of granular reflections of data. - Lech Polkowski; Piotr Artiemjew (Int. J. Intell. Syst., 2011)

Categorization of Similar Objects using Bag of Visual Words and Support Vector Machines. - Przemyslaw Górecki; Piotr Artiemjew; Pawel Drozda; Krzysztof Sopyla (ICAART (1), 2012)

Granular Covering Selection Methods Dependent on the Granule Size. - Piotr Artiemjew (RSKT, 2012)

Visual words sequence alignment for image classification. - Pawel Drozda; Przemyslaw Górecki; Krzysztof Sopyla; Piotr Artiemjew (ICCI*CC, 2013)

Visual words selection based on class separation measures. - Przemyslaw Górecki; Piotr Artiemjew; Pawel Drozda; Krzysztof Sopyla (ICCI*CC, 2013)

A Review of the Knowledge Granulation Methods: Discrete vs. Continuous Algorithms. - Piotr Artiemjew (Rough Sets and Intelligent Systems (2), 2013)

Visual Dictionary Pruning Using Mutual Information and Information Gain. - Piotr Artiemjew; Przemyslaw Górecki (ICAISC (2), 2014)

Rough mereology classifier vs. simple DNA microarray gene extraction methods. - Piotr Artiemjew (Int. J. Data Min. Model. Manag., 2014)

The Localization of Mindstorms NXT in the Magnetic Unstable Environment Based on Histogram Filtering. - Piotr Artiemjew (ICAART (2), 2015)

The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions. - Piotr Artiemjew (RSFDGrC, 2015)

The Rough Granular Approach to Classifier Synthesis by Means of SVM. - Jacek Szypulski; Piotr Artiemjew (RSFDGrC, 2015)

Granular Computing in Decision Approximation - An Application of Rough Mereology - Lech Polkowski; Piotr Artiemjew (Springer, 2015)

A New Classifier Based on the Dual Indiscernibility Matrix. - Piotr Artiemjew; Bartosz A. Nowak; Lech T. Polkowski (ICIST, 2016)

Ensemble of Classifiers Based on Simple Granules of Knowledge. - Piotr Artiemjew (ICIST, 2017)

Path Planning Based on Potential Fields from Rough Mereology. - Lukasz Zmudzinski; Piotr Artiemjew (IJCRS (2), 2017)

A Study in Granular Computing: Homogenous Granulation. - Krzysztof Ropiak; Piotr Artiemjew (ICIST, 2018)

Robot Navigation and Path Planning by Means of Rough Mereology. - Lech Polkowski; Lukasz Zmudzinski; Piotr Artiemjew (IRC, 2018)

On Granular Rough Computing: Epsilon Homogenous Granulation. - Krzysztof Ropiak; Piotr Artiemjew (IJCSR, 2018)

Boosting Effect of Classifier Based on Simple Granules of Knowledge. - Piotr Artiemjew (Inf. Technol. Control., 2018)

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. - Piotr Artiemjew; Pawel Idzikowski (CS&P, 2019)

Using r-indiscernibility Relations to Hide the Presence of Information for the Least Significant Bit Steganography Technique. - Piotr Artiemjew; Aleksandra Kislak-Malinowska (ICIST, 2019)

Missing Values Absorption Based on Homogenous Granulation. - Piotr Artiemjew; Krzysztof Ropiak (ICIST, 2019)

Robot Localization in the Magnetic Unstable Environment. - Piotr Artiemjew; Krzysztof Ropiak (IRC, 2019)

Homogenous Granulation and Its Epsilon Variant. - Krzysztof Ropiak; Piotr Artiemjew (Comput., 2019)

Random Forests and Homogeneous Granulation. - Krzysztof Ropiak; Piotr Artiemjew (ICIST, 2020)

About Granular Rough Computing - Overview of Decision System Approximation Techniques and Future Perspectives. - Piotr Artiemjew (Algorithms, 2020)

On a Hybridization of Deep Learning and Rough Set Based Granular Computing. - Krzysztof Ropiak; Piotr Artiemjew (Algorithms, 2020)

Indiscernibility Mask Key for Image Steganography. - Piotr Artiemjew; Aleksandra Kislak-Malinowska (Comput., 2020)

On Granular Rough Computing: Handling Missing Values by Means of Homogeneous Granulation. - Piotr Artiemjew; Krzysztof Ropiak (Comput., 2020)

About Rule-Based Systems: Single Database Queries for Decision Making. - Piotr Artiemjew; Lada Rudikova; Oleg Myslivets (Future Internet, 2020)

Diagnosis of Varroosis Based on Bee Brood Samples Testing with Use of Semiconductor Gas Sensors. - Beata Bak; Jakub Wilk; Piotr Artiemjew; Jerzy Wilde; Maciej Siuda (Sensors, 2020)

RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques. - Agnieszka Chojka; Piotr Artiemjew; Jacek Rapinski (Sensors, 2020)

The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters. - Marek Kruk; Piotr Artiemjew; Ewa Paturej (Ecol. Informatics, 2021)

A Novel Ensemble Model - The Random Granular Reflections. - Piotr Artiemjew; Krzysztof Ropiak (Fundam. Informaticae, 2021)

Deep Learning for RFI Artifact Recognition in Sentinel-1 Data. - Piotr Artiemjew; Agnieszka Chojka; Jacek Rapinski (Remote. Sens., 2021)

Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors. - Beata Bak; Jakub Wilk; Piotr Artiemjew; Jerzy Wilde (Sensors, 2021)

Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans. - Szymon Nitkiewicz; Robert Baranski; Marek A. Galewski; Hanna Zajaczkiewicz; Andrzej Kukwa; Andrzej Zajac; Stanislaw Ejdys; Piotr Artiemjew (Sensors, 2021)

Classifying the Biological Status of Honeybee Workers Using Gas Sensors. - Jakub Wilk; Beata Bak; Piotr Artiemjew; Jerzy Wilde; Maciej Siuda (Sensors, 2021)

Accelerating concept-dependent granulation technique using data decomposition. - Radoslaw Cybulski; Piotr Artiemjew (IEEE Big Data, 2022)

Application of Random Sampling in the Concept-Dependent Granulation Method. - Radoslaw Cybulski; Piotr Artiemjew (FedCSIS (Position Papers), 2022)

About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve. - Aleksandra Weiss; Marcin Mlynski; Piotr Artiemjew (FedCSIS, 2022)

Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values. - Piotr Artiemjew; Slawomir Konrad Tadeja (ICAART (3), 2022)

Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems. - Jaroslaw Szkola; Piotr Artiemjew (ICAART (3), 2022)

In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks. - Beata Bak; Jaroslaw Szkola; Jakub Wilk; Piotr Artiemjew; Jerzy Wilde (Sensors, 2022)

Data Streaming in Concept-Dependent Granulation. - Radoslaw Cybulski; Piotr Artiemjew (IEEE Big Data, 2023)

Navigational Strategies for Mobile Robots Using Rough Mereological Potential Fields and Weighted Distance to Goal. - Aleksandra Szpakowska; Piotr Artiemjew; Wojciech Cybowski (IJCRS, 2023)

Selected aspects of complex, hypercomplex and fuzzy neural networks. - Agnieszka Niemczynowicz; Radoslaw A. Kycia; Maciej Jaworski; Artur Siemaszko; Jose M. Calabuig; Lluís Miquel Garcia-Raffi; Baruch Schneider; Diana Berseghyan; Irina Perfiljeva; Vilém Novák; Piotr Artiemjew (CoRR, 2023)

The Identification of Bee Comb Cell Contents Using Semiconductor Gas Sensors. - Beata Bak; Jakub Wilk; Piotr Artiemjew; Maciej Siuda; Jerzy Wilde (Sensors, 2023)

Prototyping Educational and Scientific Devices with a Custom Python Library for Lego Robot Inventor 5in1 Mindstorms Kit: A Leap Motion Integration Case Study. - Jakub Malinowski; Piotr Artiemjew; Wojciech Cybowski (CSEDU (1), 2024)

Predicting Children's Myopia Risk: A Monte Carlo Approach to Compare the Performance of Machine Learning Models. - 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 (ICAART (3), 2024)

Randomness Versus Backpropagation in Machine Learning. - Irina Perfilieva; Piotr Artiemjew; Agnieszka Niemczynowicz (ICAISC (1), 2024)

On the evaluation of classification quality - the robustness of the AUC of Balance Accuracy Curve (BAC) to anomalies in the classification process. - Aleksandra Weiss; Marcin Mlynski; Piotr Artiemjew (KES, 2024)

Three-Dimensional Path Planning: Navigating through Rough Mereology. - Aleksandra Szpakowska; Piotr Artiemjew (CoRR, 2024)

Behavior Detection of Quadruped Companion Robots Using CNN: Towards Closer Human-Robot Cooperation. - Piotr Artiemjew; Karolina Krzykowska-Piotrowska; Marek Piotrowski (ICSOFT, 2025)

From rough mereology to robust navigation: Expanding mobile robot strategies with diverse maps and enhanced goal-targeting mechanisms. - Aleksandra Szpakowska; Piotr Artiemjew; Wojciech Cybowski (Int. J. Appl. Math. Comput. Sci., 2025)

A critical analysis of the theoretical framework of the Extreme Learning Machine. - Irina Perfilieva; Nicolás Madrid; Manuel Ojeda-Aciego; Piotr Artiemjew; Agnieszka Niemczynowicz (Neurocomputing, 2025)