Publication results

• 2025

  JONÁK, M.; DORAZIL, J.; MYŠKA, V.; BURGET, R.; KOTRLÝ, M. Classification of Mineral Phases in Unpolished Samples Using a Transformer Neural Network. In Proceedings of the 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Workshops. 2025. p. 170-175. ISBN: 979-8-3315-7675-2.
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  MYŠKA, V.; BURGET, R.; JEŽEK, Š.; LUŇÁKOVÁ, M.; MORAVCOVÁ, P.; DOUBKOVÁ, Š.; MEZINA, A.; JONÁK, M. Writer Identification Using Siamese Networks and Character-Level Analysis. In 2025 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Italy: IEEE, 2025. p. 182-186. ISBN: 979-8-3315-7675-2.
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  TYAGI, N.; JOSHI, R.; DAS, S.; SIKORA, P.; MYŠKA, V.; DUTTA, M. Reinforcement Learning for Mathematical Reasoning in Small-Scale Language Models with Structured Policy Optimization. In 2025 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Workshops. Florence, Italy: IEEE, 2025. p. 272-277. ISBN: 979-8-3315-7675-2.
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  SHARMA, A.; FATIMA, N.; SIKORA, P.; MYŠKA, V.; FROLKA, J.; DUTTA, M. MultiFlipFormer: A Multimodal Transformer for Emotion Flip Reasoning and Instigator Detection in Therapeutic Conversations. In 2025 17th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Workshops. Florence, Italy: IEEE, 2025. p. 187-192. ISBN: 979-8-3315-7675-2.
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• 2024

  MEZINA, A.; GENZOR, S.; BURGET, R.; MYŠKA, V.; MIZERA, J.; OMETOV, A. Corticosteroid Treatment Prediction using Chest X-ray and Clinical Data. Computational and Structural Biotechnology Journal, 2024, vol. 24, no. December 24, p. 53-65. ISSN: 2001-0370.
  Detail | Full text in the Digital Library

  CHAUHAN, A.; JOSHI, R.; RASHID, S.; AGGARWAL, G.; MYŠKA, V.; BURGET, R.; DUTTA, M. An Advanced COVID-19 Severity Grading Approach using Deep Soft Attention Networks and Segmentation of Chest X-ray Images. In 16th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Meloneras: 2024. p. 94-99. ISBN: 978-3-8007-6544-7.
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• 2023

  SMÍŠEK, R.; NĚMCOVÁ, A.; SMITAL, L.; CHLÍBKOVÁ, D.; KRÁLÍK, M.; KOLÁŘOVÁ, J.; MYŠKA, V.; KOLAŘÍK, M.; HARVÁNEK, M.; ARM, J.; BAŠTÁN, O.; POSPÍŠIL, M.; ŠÍMA, J.; HUBÁLEK, J. Aerobic Fitness Level Estimation Using Wearables. In Computing in Cardiology 2022. Computing in Cardiology. 2023. 4 p. ISSN: 2325-887X.
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  MYŠKA, V.; GENZOR, S.; MEZINA, A.; BURGET, R.; MIZERA, J.; ŠTÝBNAR, M.; KOLAŘÍK, M.; SOVA, M.; DUTTA, M. Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19. Diagnostics, 2023, vol. 13, no. 10, p. 1-17. ISSN: 2075-4418.
  Detail | Full text in the Digital Library

  MEZINA, A.; GENZOR, S.; BURGET, R.; MIZERA, J.; MYŠKA, V.; ŠTÝBNAR, M. Patients Compliance: Ten Years History Data Analysis. ERJ Open Research. Prague: European Respiratory Society, 2023. no. 11, 1 p. ISSN: 2312-0541.
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  MYŠKA, V.; MEZINA, A.; VANĚK, P.; BURGET, R.; GENZOR, S.; MIZERA, J.; ŠTÝBNAR, M.; KIAC, M.; FROLKA, J. CovidStopHospital: e-Health Service for X-Ray-Based COVID-19 Classification and Radiologist-Assisted Dataset Creation. In 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ghent: 2023. p. 62-67. ISBN: 979-8-3503-9328-6.
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  MYŠKA, V.; LEVEK, V.; BURGET, R.; KOLAŘÍK, M.; ŠTEFFAN, P.; HÁZE, J. IoT mechatronic access control system ePRO 1.4. IEEE Consumer Electronics Magazine, 2023, vol. 13, no. 5, p. 83-92. ISSN: 2162-2248.
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  VERMA, V.; KARNATI, M.; DUTTA, M.K.; MYŠKA, V.; MEZINA, A. Attention-based VGG-Residual-Inception Module for EEG-Based Depression Detection. In 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Ghent: 2023. p. 33-37. ISBN: 979-8-3503-9328-6.
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• 2022

  MALVIYA, A.; SENGAR, N.; DUTTA, M.K.; BURGET, R.; MYSKA, V. Deep Learning Based Gastro Intestinal Disease Analysis Using Wireless Capsule Endoscopy Images. In TSP 2022: 2022 45th International Conference on Telecommunications and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2022. p. 221-225. ISBN: 9781665469487.
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  HUBÁLEK, J.; CHLÍBKOVÁ, D.; KOLÁŘOVÁ, J.; SMITAL, L.; ARM, J.; MYŠKA, V.; NĚMCOVÁ, A.; HARVÁNEK, M.; KRÁLÍK, M.; KOLAŘÍK, M.; SMÍŠEK, R.; BAŠTÁN, O.; POSPÍŠIL, M. Nový způsob hodnocení kondice a zdraví pomocí nositelných zařízení. 2022. 12 s.
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  KUMAR, A.; RAKESH CHANDRA, J.; DUTTA, M.K.; BURGET, R.; MYSKA, V. Osteo-Net: A Robust Deep Learning-Based Diagnosis of Osteoporosis Using X-ray images. In TSP 2022: 2022 45th International Conference on Telecommunications and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2022. p. 91-95. ISBN: 9781665469487.
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• 2021

  DEJDAR, P.; MYŠKA, V.; MÜNSTER, P.; BURGET, R. Trains Detection Using State of Polarization Changes Measurement and Convolutional Neural Networks. In 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Proceedings. IEEE, 2021. p. 1-4. ISBN: 978-1-7281-5099-4.
  Detail | Full text in the Digital Library

  MYŠKA, V.; BURGET, R. Machine learning approach for automatic lungs sound diagnosis from pulmonary signals. In 44th International Conference on Telecommunications and Signal Processing (TSP). Virtual Conference: IEEE, 2021. p. 366-371. ISBN: 978-1-6654-2933-7.
  Detail

  MYŠKA, V. Detection of road surface defects from data acquired by a laser scanner. In Proceedings II of the 27th Conference STUDENT EEICT 2021 selected papers. 1. Brno: Brno Univeristy of Technology, Faculty of Electrical Engineering and Communication, 2021. p. 275-279. ISBN: 978-80-214-5943-4.
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• 2020

  BAGHEL, N., SINGH, D, DUTTA, M.K., BURGET, R., & MYSKA, V. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 550-553. ISBN: 978-1-7281-6376-5.
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  MYŠKA, V. Graph convolutional neural networks for sentiment analysis. In Proceedings I of the 26th Conference STUDENT EEICT 2020. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2020. p. 340-344. ISBN: 978-80-214-5867-3.
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• 2019

  MYŠKA,V.; BURGET, R.; BREZANY, P. Graph neural network for website element detection. In 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 216-219. ISBN: 978-1-7281-1864-2.
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  DWIVEDI, A., KUMAR, A., DUTTA, M. K., BURGET, R., & MYSKA, V. An Efficient and Robust Zero-Bit Watermarking Technique for Biometric Image Protection. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 236-240. ISBN: 978-1-7281-1864-2.
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  MYŠKA, V.;BURGET, R.;POVODA, L.;DUTTA, M. Linguistically independent sentiment analysis using convolutional-recurrent neural networks model. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 212-215. ISBN: 978-1-7281-1864-2.
  Detail

  MYŠKA, V. Language-Independent Text Classifier Base on Recurrent Neural Networks. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 754-758. ISBN: 978-80-214-5735-5.
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