| An introduction to 3D computer vision techniques and algorithms B Cyganek, JP Siebert John Wiley & Sons, 2011 | 584 | 2011 |
| Image recognition with deep neural networks in presence of noise–dealing with and taking advantage of distortions M Koziarski, B Cyganek Integrated Computer-Aided Engineering 24 (4), 337-349, 2017 | 185 | 2017 |
| Object detection and recognition in digital images: theory and practice B Cyganek John Wiley & Sons, 2013 | 179 | 2013 |
| Hybrid computer vision system for drivers' eye recognition and fatigue monitoring B Cyganek, S Gruszczyński Neurocomputing 126, 78-94, 2014 | 164 | 2014 |
| Clustering-based ensembles for one-class classification B Krawczyk, M Woźniak, B Cyganek Information sciences 264, 182-195, 2014 | 163 | 2014 |
| One-class support vector ensembles for image segmentation and classification B Cyganek Journal of Mathematical Imaging and Vision 42, 103-117, 2012 | 94 | 2012 |
| Impact of low resolution on image recognition with deep neural networks: An experimental study M Koziarski, B Cyganek International Journal of Applied Mathematics and Computer Science 28 (4 …, 2018 | 92 | 2018 |
| Driver’s fatigue recognition based on yawn detection in thermal images M Knapik, B Cyganek Neurocomputing 338, 274-292, 2019 | 79 | 2019 |
| Komputerowe przetwarzanie obrazów trójwymiarowych B Cyganek Akademicka Oficyna Wydawnicza EXIT, 2002 | 72 | 2002 |
| A survey of big data issues in electronic health record analysis B Cyganek, M Graña, B Krawczyk, A Kasprzak, P Porwik, K Walkowiak, ... Applied Artificial Intelligence 30 (6), 497-520, 2016 | 58 | 2016 |
| An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance J Gasienica-Jozkowy, M Knapik, B Cyganek Integrated Computer-Aided Engineering 28 (3), 221-235, 2021 | 54 | 2021 |
| Color image segmentation with support vector machines: applications to road signs detection B Cyganek International Journal of Neural Systems 18 (04), 339-345, 2008 | 50 | 2008 |
| Circular road signs recognition with soft classifiers B Cyganek Integrated Computer-Aided Engineering 14 (4), 323-343, 2007 | 46 | 2007 |
| Multidimensional data classification with chordal distance based kernel and support vector machines B Cyganek, B Krawczyk, M Woźniak Engineering Applications of Artificial Intelligence 46, 10-22, 2015 | 44 | 2015 |
| Comparison of nonparametric transformations and bit vector matching for stereo correlation B Cyganek Combinatorial Image Analysis: 10th International Workshop, IWCIA 2004 …, 2005 | 40 | 2005 |
| Data stream classification using active learned neural networks P Ksieniewicz, M Woźniak, B Cyganek, A Kasprzak, K Walkowiak Neurocomputing 353, 74-82, 2019 | 38 | 2019 |
| Learning decision trees from data streams with concept drift D Jankowski, K Jackowski, B Cyganek Procedia computer science 80, 1682-1691, 2016 | 31 | 2016 |
| Tensor-based shot boundary detection in video streams B Cyganek, M Woźniak New Generation Computing 35 (4), 311-340, 2017 | 28 | 2017 |
| Image segmentation with a hybrid ensemble of one-class support vector machines B Cyganek Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010 | 28 | 2010 |
| Selecting locally specialised classifiers for one-class classification ensembles B Krawczyk, B Cyganek Pattern analysis and applications 20, 427-439, 2017 | 26 | 2017 |
