Knowledge Management Issues For Maintenance of Automated Production Systems. - Jacek Reiner; Jan Koch; Irene Krebs; Stefan Schnabel; Thomas Siech (APMS, 2003)

Simulations for Tuning a Laser Power Control System of the Cladding Process. - Piotr Jurewicz; Wojciech Rafajlowicz; Jacek Reiner; Ewaryst Rafajlowicz (CISIM, 2016)

Double-stream Convolutional Neural Networks for Machine Vision Inspection of Natural Products. - Przemyslaw Dolata; Mariusz Mrzyglód; Jacek Reiner (Appl. Artif. Intell., 2017)

Barley Variety Recognition with Viewpoint-aware Double-stream Convolutional Neural Networks. - Przemyslaw Dolata; Jacek Reiner (FedCSIS, 2018)

Improving Real-Time Performance of U-Nets for Machine Vision in Laser Process Control. - Przemyslaw Dolata; Jacek Reiner (FedCSIS, 2019)

Iterative Learning of Optimal Control for Nonlinear Processes With Applications to Laser Additive Manufacturing. - Wojciech Rafajlowicz; Piotr Jurewicz; Jacek Reiner; Ewaryst Rafajlowicz (IEEE Trans. Control. Syst. Technol., 2019)

The use of polarized light and image analysis in evaluations of the severity of fungal infection in barley grain. - Piotr Zapotoczny; Jacek Reiner; Mariusz Mrzyglód; Piotr Lampa (Comput. Electron. Agric., 2020)

Instance segmentation of root crops and simulation-based learning to estimate their physical dimensions for on-line machine vision yield monitoring. - Przemyslaw Dolata; Pawel Wróblewski; Mariusz Mrzyglód; Jacek Reiner (Comput. Electron. Agric., 2021)

Imaging Scatterometry with Extrapolation of Missing BRDF Data for Materials Used in Laser Material Processing. - Adrian Zakrzewski; Piotr Jurewicz; Michal Cwikla; Piotr Koruba; Jacek Reiner (Sensors, 2021)

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

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)

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)

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)