| Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard A Jegorowa, J Kurek, I Antoniuk, W Dołowa, M Bukowski, P Czarniak Wood Science and Technology 55 (1), 271-293, 2021 | 15 | 2021 |
| Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes J Kurek, I Antoniuk, B Świderski, A Jegorowa, M Bukowski Sensors 20 (23), 6978, 2020 | 13 | 2020 |
| Data augmentation techniques for transfer learning improvement in drill wear classification using convolutional neural network J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics and Vision 28, 2019 | 13 | 2019 |
| Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods G Niedbała, J Kurek, B Świderski, T Wojciechowski, I Antoniuk, K Bobran Agriculture 12 (12), 2089, 2022 | 12 | 2022 |
| Classifiers ensemble of transfer learning for improved drill wear classification using convolutional neural network J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics & Vision 28 (1/4), 2019 | 12 | 2019 |
| Generation of complex underground systems for application in computer games with schematic maps and L-systems I Antoniuk, P Rokita Computer Vision and Graphics: International Conference, ICCVG 2016, Warsaw …, 2016 | 11 | 2016 |
| Decision Confidence Assessment in Multi-Class Classification M Bukowski, J Kurek, I Antoniuk, A Jegorowa Sensors 21 (11), 3834, 2021 | 10 | 2021 |
| Procedural generation of adjustable terrain for application in computer games using 2D maps I Antoniuk, P Rokita Pattern Recognition and Machine Intelligence: 6th International Conference …, 2015 | 10 | 2015 |
| Procedural generation of multilevel dungeons for application in computer games using schematic maps and L-system I Antoniuk, P Rokita Intelligent Methods and Big Data in Industrial Applications, 261-275, 2019 | 7 | 2019 |
| Tool condition monitoring for the chipboard drilling process using automatic, signal-based tool state evaluation B Świderski, I Antoniuk, J Kurek, M Bukowski, J Górski, A Jegorowa BioResources 17 (3), 5349, 2022 | 6 | 2022 |
| Time-efficient approach to drill condition monitoring based on images of holes drilled in melamine faced chipboard A Jegorowa, I Antoniuk, J Kurek, M Bukowski, W Dołowa, P Czarniak BioResources 15 (4), 9611, 2020 | 6 | 2020 |
| Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process A Przybyś-Małaczek, I Antoniuk, K Szymanowski, M Kruk, J Kurek Sensors 23 (13), 5850, 2023 | 4 | 2023 |
| Procedural generation of underground systems with terrain features using schematic maps and L-systems I Antoniuk, P Rokita Challenges of Modern Technology 7 (3), 8-15, 2016 | 4 | 2016 |
| Automatic Estimation of Drill Wear Based on Images of Holes Drilled in Melamine Faced Chipboard with Machine Learning Algorithms A Jegorowa, J Kurek, I Antoniuk, A Krupa, G Wieczorek, B Świderski, ... Forests 14 (2), 205, 2023 | 3 | 2023 |
| L-system application to procedural generation of room shapes for 3d dungeon creation in computer games I Antoniuk, P Hoser, D Strzęciwilk Advances in Soft and Hard Computing, 375-386, 2019 | 3 | 2019 |
| Improved Drill State Recognition during Milling Process Using Artificial Intelligence J Kurek, A Krupa, I Antoniuk, A Akhmet, U Abdiomar, M Bukowski, ... Sensors 23 (1), 448, 2023 | 2 | 2023 |
| Text area detection in handwritten documents scanned for further processing JL Pach, A Krupa, I Antoniuk Machine Graphics and Vision 29, 2020 | 2 | 2020 |
| BCT Boost Segmentation with U-net in TensorFlow G Wieczorek, I Antoniuk, M Kruk, J Kurek, A Orłowski, J Pach, B Świderski Machine Graphics and Vision 28 (1/4), 25-34, 2019 | 2 | 2019 |
| Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods J Kurek, G Niedbała, T Wojciechowski, B Świderski, I Antoniuk, ... Agriculture 13 (12), 2259, 2023 | 1 | 2023 |
| Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear I Antoniuk, J Kurek, A Krupa, G Wieczorek, M Bukowski, M Kruk, ... Sensors 23 (3), 1109, 2023 | 1 | 2023 |
Jarosław KurekInstitute of Information Technology, Warsaw University of Life SciencesVerified email at sggw.edu.pl
