Endoscopy Images Classification with Kernel Based Learning Algorithms. - Pawel Majewski; Wojciech Jedruch (IEA/AIE, 2005)

Autocovariance Based Weighting Strategy for Time Series Prediction with Weighted LS-SVM. - Pawel Majewski (Intelligent Information Systems, 2005)

Directed Laplacian Kernels for Link Analysis. - Pawel Majewski (IDEAL, 2006)

Text Categorization with Semantic Commonsense Knowledge: First Results. - Pawel Majewski; Julian Szymanski (ICONIP (2), 2007)

An application of a new matrix inverse in stabilizing state-space perfect control of nonsquare LTI MIMO systems. - Wojciech P. Hunek; Krzysztof J. Latawiec; Pawel Majewski; Piotr Dzierwa (MMAR, 2014)

A New Nonunique PSVD-Based Inverse of Nonsquare Polynomial Matrices. - Wojciech P. Hunek; Pawel Majewski (MMAR, 2018)

Perfect reconstruction of signal - a new polynomial matrix inverse approach. - Wojciech P. Hunek; Pawel Majewski (EURASIP J. Wirel. Commun. Netw., 2018)

Relationship between S-and σ-inverse for some class of nonsquare matrices - an initial study. - Wojciech P. Hunek; Pawel Majewski (ICCA, 2019)

Simulation platform for wireless data communication using a new signal reconstruction method. - Pawel Majewski; Wojciech P. Hunek (MMAR, 2019)

Time-Varying Perfect Control Algorithm for LTI Multivariable Systems. - Marek Krok; Pawel Majewski; Wojciech P. Hunek (KKA, 2020)

Perfect Control for Continuous-Time LTI State-Space Systems: The Nonzero Reference Case Study. - Pawel Majewski; Wojciech P. Hunek; Marek Krok (IEEE Access, 2021)

Complete analytical solution to the energy-optimal problem of multivariable perfect control systems based on the generalized H-inverse. - Tomasz Feliks; Wojciech P. Hunek; Marek Krok; Pawel Majewski (CoDIT, 2022)

Control system for an innovative electrostatic enameling process of water tanks' interiors. - Michal Jurkiewicz; Robert Janicki; Wojciech P. Hunek; Krzysztof Bartecki; Pawel Majewski (MMAR, 2022)

Hybrid Method for Rapid Development of Efficient and Robust Models for In-row Crop Segmentation. - Pawel Majewski; Jacek Reiner (VISIGRAPP (4: VISAPP), 2022)

A Measurement-Aided Control System for Stabilization of the Real-Life Stewart Platform. - Wojciech P. Hunek; Pawel Majewski; Jaroslaw Zygarlicki; Lukasz Nagi; Dariusz Zmarzly; Roman Wiench; Pawel Mlotek; Piotr Warmuzek (Sensors, 2022)

Improvement of Baro Sensors Matrix for Altitude Estimation. - Lukasz Nagi; Jaroslaw Zygarlicki; Wojciech P. Hunek; Pawel Majewski; Pawel Mlotek; Piotr Warmuzek; Piotr Witkowski 003; Dariusz Zmarzly (Sensors, 2022)

A Physical Realization of the Minimum Variance Control-Like Algorithm Based on the Real-Life Servomechanism System: a Pilot Case Study. - Pawel Majewski; Marek Krok; Tomasz Feliks; Wojciech P. Hunek (MMAR, 2023)

Mixing Augmentation and Knowledge-Based Techniques in Unsupervised Domain Adaptation for Segmentation of Edible Insect States. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (VISIGRAPP (5: VISAPP), 2023)

Prediction of the remaining time of the foraging activity of honey bees using spatio-temporal correction and periodic model re-fitting. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (Comput. Electron. Agric., 2023)

A Sensor-Aided System for Physical Perfect Control Applications in the Continuous-Time Domain. - Pawel Majewski; Wojciech P. Hunek; Dawid Pawus; Krzysztof Szurpicki; Tomasz Wojtala (Sensors, 2023)

End-to-end Solution for Tenebrio Molitor Rearing Monitoring with Uncertainty Estimation and Domain Shift Detection. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (CVPR Workshops, 2024)

Robust GMVC algorithm undermining the employment of the Moore-Penrose inverse. - Pawel Majewski; Wojciech P. Hunek; Marek Krok; Tomasz Feliks; Emilia Helinska (MMAR, 2024)

An intelligent vision system for the detection and classification of heterogeneous objects moving on a belt conveyor. - Pawel Majewski; Adam Lysiak; Lukasz Klar; Krzysztof Bochenek (MMAR, 2024)

Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. - Pawel Majewski; Piotr Lampa; Robert Burduk; Jacek Reiner (VISIGRAPP (2): VISAPP, 2024)

Estimation of the Inference Quality of Machine Learning Models for Cutting Tools Inspection. - Kacper Marciniak; Pawel Majewski; Jacek Reiner (VISIGRAPP (3): VISAPP, 2024)

Monitoring the growth of insect larvae using a regression convolutional neural network and knowledge transfer. - Pawel Majewski; Mariusz Mrzyglód; Piotr Lampa; Robert Burduk; Jacek Reiner (Eng. Appl. Artif. Intell., 2024)

Amodal Instance Segmentation for Mealworm Growth Monitoring Using Synthetic Training Images. - Przemyslaw Dolata; Pawel Majewski; Piotr Lampa; Maciej Zieba; Jacek Reiner (IEEE Access, 2025)