Publication results

• 2025

  LUŇÁKOVÁ, M.; DORAZIL, J.; JONÁK, M.; JEŽEK, Š.; BURGET, R. Pen Ink Library: An interactive database of writing instruments based on Vis-NIR reflection spectra and optical properties of inks. Forensic Science International, 2025, vol. 373, no. Srpen, p. 1-13. ISSN: 1872-6283.
  Detail

• 2024

  JEŽEK, Š.; BURGET, R. Deployment of deep learning-based anomaly detection systems: challenges and solutions. In Proceedings II of the 30th Student EEICT 2024: Selected Papers. Proceedings II of the Conference STUDENT EEICT. 1. Brno: Brno University of Technology, Faculty of Electronic Engineering and Communication, 2024. p. 207-211. ISBN: 978-80-214-6230-4. ISSN: 2788-1334.
  Detail

  JONÁK, M.; MUCHA, J.; JEŽEK, Š.; KOVÁČ, D.; CZÍRIA, K. SPAGRI-AI: Smart precision agriculture dataset of aerial images at different heights for crop and weed detection using super-resolution. AGRICULTURAL SYSTEMS, 2024, vol. 216, no. April 2024, p. 1-11. ISSN: 0308-521X.
  Detail

• 2023

  JONÁK, M.; DORAZIL, J.; KOLAŘÍK, M.; JEŽEK, Š.; BURGET, R.; KOTRLÝ, M. Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE Computer Society, 2023. p. 188-192. ISBN: 979-8-3503-9328-6.
  Detail

  JEŽEK, Š.; BURGET, R.; VERMA, S.; VISHAL, V.; JOSHI, R.; DUTTA, M. AI-enhanced Mental Health Diagnosis: Leveraging Transformers for Early Detection of Depression Tendency in Textual Data. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE Computer Society, 2023. p. 56-61. ISBN: 979-8-3503-9328-6.
  Detail

  JEŽEK, Š. Visual defect detection in real-world industrial applications using convolutional neural networks. Proceedings I of the 29th Student EEICT 2023 (General Papers). Brno: 2023. p. 389-393. ISBN: 978-80-214-6153-6.
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• 2022

  JONÁK, M.; JEŽEK, Š.; BURGET, R. Evaluation of Nested U-Net models performance on MVTec AD dataset. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Valencia, Spain: IEEE, 2022. p. 70-75. ISBN: 979-8-3503-9866-3.
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  JEŽEK, Š.; JONÁK, M.; BURGET, R.; DVOŘÁK, P.; SKOTÁK, M. Anomaly detection for real-world industrial applications: benchmarking recent self-supervised and pretrained methods. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Valencia, Spain: IEEE, 2022. p. 64-69. ISBN: 979-8-3503-9866-3.
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• 2021

  JEŽEK, Š.; JONÁK, M.; BURGET, R.; DVOŘÁK, P.; SKOTÁK, M. Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions. In 2021 13th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Online: IEEE, 2021. p. 66-71. ISBN: 978-1-6654-0219-4.
  Detail

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