Brno University of Technology - Vnitřní projekty VUT

- whole funder (2017-01-01 - 2018-12-31)

FEKT-S-17-4476

Czech

Burget Radim, doc. Ing., Ph.D. - fellow researcher
Fančal Petr, Ing. - fellow researcher
Galáž Zoltán, Ing., Ph.D. - fellow researcher
Harár Pavol, Ing., Ph.D. - fellow researcher
Kiska Tomáš, Ing. - fellow researcher
Koton Radka, Mgr. - fellow researcher
Kříž Petr, Ing. - fellow researcher
Lukačovič Martin, Ing. - fellow researcher
Mangová Marie, Ing., Ph.D. - fellow researcher
Mašek Jan, Ing., Ph.D. - fellow researcher
Mekyska Jiří, doc. Ing., Ph.D. - fellow researcher
Mucha Ján, Ing., Ph.D. - fellow researcher
Novosadová Michaela, Ing., Ph.D. - fellow researcher
Povoda Lukáš, Ing., Ph.D. - fellow researcher
Přinosil Jiří, Ing., Ph.D. - fellow researcher
Rajmic Pavel, prof. Mgr., Ph.D. - fellow researcher
Rajnoha Martin, Ing., Ph.D. - fellow researcher
Říha Kamil, doc. Ing., Ph.D. - fellow researcher
Schimmel Jiří, doc. Ing., Ph.D. - fellow researcher
Sysel Petr, doc. Ing., Ph.D. - fellow researcher
Tejkal Martin, Ing. - fellow researcher
Záviška Pavel, Ing., Ph.D. - fellow researcher
Zvončák Vojtěch, Ing., Ph.D. - fellow researcher
Smékal Zdeněk, prof. Ing., CSc. - principal person responsible

Department of Telecommunications
- internal (2017-01-01 - 2019-12-31)
Faculty of Electrical Engineering and Communication
- beneficiary (2017-01-01 - 2019-12-31)

YANG, T.; FU, D.; LI, X.; ŘÍHA, K. Manifold regularized multiple kernel learning with Hellinger distance. Cluster Computing-The Journal of Networks Software Tools and Applications, 2019, vol. 22, no. 6, p. 13843-13851. ISSN: 1386-7857.
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BAJZÍK, J. DEEP LEARNING BASED SOUND EVENT RECOGNITION. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 1-4. ISBN: 978-80-214-5735-5.
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PULIDO, M.L.B; HERNANDEZ, J.B.A.; BALLESTER, M.A.F.; GONZALEZ, C.M.T.; MEKYSKA, J.; SMÉKAL, Z. Alzheimer's disease and automatic speech analysis: A review. EXPERT SYSTEMS WITH APPLICATIONS, 2020, vol. 150, no. 1, p. 1-19. ISSN: 0957-4174.
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SINGH, A.; MISHRA, M.; DUTTA, M.; BURGET, R.;. An Imaging Method for Automated Detection of Acrylamide in Potato Chips. In IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering. Mathura, India, India: IEEE, 2017. p. 487-490. ISBN: 978-1-5386-3004-4.
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DORAZIL, J.; REPP, R.; KROPFREITER, T.; PRÜLLER, R.; ŘÍHA, K.; HLAWATSCH, F. Feature Drift Resilient Tracking of the Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion. In Proceedings of 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. 2020. p. 1095-1099. ISBN: 978-1-5090-6631-5. ISSN: 0736-7791.
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DORAZIL, J.; REPP, R.; KROPFREITER, T.; PRÜLLER, R.; ŘÍHA, K.; HLAWATSCH, F. Tracking Carotid Artery Wall Motion Using an Unscented Kalman Filter and Data Fusion. IEEE Access, 2020, vol. 8, no. 1, p. 222506-222519. ISSN: 2169-3536.
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BREGER, A.; ORLANDO, J.; HARÁR, P.; DÖRFLER, M.; KLIMSCHA, S.; GRECHENIG, C.; GERENDAS, B.; SCHMIDT-ERFURTH, U.; EHLER, M. On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems (vol 31, pg 245, 2020). DORDRECHT: SPRINGER, 2020. p. 395-395.
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KISKA, T.; GALÁŽ, Z.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; SMÉKAL, Z. Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: 2018. p. 238-242. ISBN: 978-1-5386-9360-5.
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KISKA, T.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; SMÉKAL, Z. Určení místa původu interpretací české komorní hudby za pomoci technik Music Information Retrieval. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2018, roč. 20, č. 4, s. 1-8. ISSN: 1213-1539.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; GALÁŽ, Z.; MUCHA, J.; KISKA, T.; SMÉKAL, Z.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; FAUNDEZ-ZANUY, M.; ROSENBLUM, S. Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: 2018. p. 233-237. ISBN: 978-1-5386-9360-5.
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GUPTA, A.; ISSAC, A.; DUTTA, M.; ŘÍHA, K. An Imaging Method for Automated SkinLesion Segmentation using Statistical Analysis and Bit Plane Slicing. In International Conference on "Computational Intelligence and Communication Technology". GHAZIABAD, India: IEEE, 2018. p. 1-5. ISBN: 978-1-5386-0886-9.
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NOVOSADOVÁ, M.; RAJMIC, P. Image edges resolved well when using an overcomplete piecewise-polynomial model. In Proceedings of the 12th International Conference on Signal Processing and Communication Systems (ICSPCS). Cairns: IEEE, 2018. p. 1-10. ISBN: 978-1-5386-5601-3.
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BRABENEC, L.; KLOBUŠIAKOVÁ, P.; BARTOŇ, M.; MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Non-invasive stimulation of the auditory feedback area for improved articulation in Parkinson's disease. PARKINSONISM & RELATED DISORDERS, 2019, vol. 61, no. 1, p. 187-192. ISSN: 1353-8020.
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GÓMEZ-VILDA, P.; GALÁŽ, Z.; MEKYSKA, J.; FERRÁNDEZ VICENTE, J.; GÓMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Vowel Articulation Dynamic Stability Related to Parkinson’s Disease Rating Features: Male Dataset. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2019, vol. 29, no. 2, p. 1850037-1850037. ISSN: 0129-0657.
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GÓMEZ-VILDA, P.; GÓMEZ-RODELLAR, A.; FERRÁNDEZ VICENTE, J.; MEKYSKA, J.; PALACIOS-ALONSO, D.; RODELLAR-BIARGE, V.; ALVAREZ-MARQUINA, A.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2019, vol. 29, no. 2, p. 1850039-1850039. ISSN: 0129-0657.
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RAJNOHA, M.; BURGET, R.; MEKYSKA, J.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Towards Identification of Hypomimia in Parkinson’s Disease Based on Face Recognition Methods. In 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva: 2018. p. 182-185. ISBN: 978-1-5386-9361-2.
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RAJNOHA, M.; BURGET, R.; POVODA, L. Image Background Noise Impact on Convolutional Neural Network Training. In 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva: 2018. p. 168-171. ISBN: 978-1-5386-9361-2.
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YADAV, A; DUTTA, M. K.; BURGET, R. Automated Visible Range Imaging Scheme to Identify Toxic Substance from Common Starchy Food. In International Conference on Computational Intelligence & Communication Technology (CICT). 4th. Ghaziabad, India: 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT), 2018. p. 1-6. ISBN: 978-1-5386-0886-9.
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ARORA, M; DUTTA, M. K.; TRAVIESO M. C.; BURGET R. Image Processing Based Classification of Enzymatic Browning in Chopped Apples. In 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI). San Carlos, Costa Rica: 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018. p. 1-8. ISBN: 978-1-5386-7506-9.
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KHATTER, A.;BROWNE, A.;SINGH, A.;DUTTA, M. K.;RIHA, K.; BURGET, R. Generation of SVD Based Non-informative Unique ID for Authentication of MRI Images. In 2018 41st International Conference on Telecommunications and Signal Processing (TSP). 41. Athens, Greece: 2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018. p. 232-236. ISBN: 978-1-5386-4695-3.
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YU, X.; ZHOU, Z.; ŘÍHA, K. Blurred Infrared Image Segmentation Using New Immune Algorithm with Minimum Mean Distance Immune Field. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, vol. 38, no. 11, p. 1-5. ISSN: 1000-0593.
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ZÁVIŠKA, P.; MOKRÝ, O.; RAJMIC, P. S-SPADE Done Right: Detailed Study of the Sparse Audio Declipper Algorithms. 2018. p. 1-8.
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ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O.; PRŮŠA, Z. A Proper version of Synthesis-based Sparse Audio Declipper. In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Proc. International Conference on Acoustics, Speech, and Signal Processing. Brighton, United Kingdom: IEEE, 2019. p. 591-595. ISBN: 978-1-4799-8131-1. ISSN: 1520-6149.
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PŘINOSIL, J. Clothing Color Based De-Identification. In Proceedings of the IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP2018). Athens, Greece: IEEE, 2018. p. 1-5. ISBN: 978-1-5386-4695-3.
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KAUR, A.; DUTTA, M.; PŘINOSIL, J. General Regression Neural Network Based Audio Watermarking Algorithm Using Torus Automorphism. In Proceedings of the IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP2018). Athens, Greece: IEEE, 2018. p. 1-4. ISBN: 978-1-5386-4695-3.
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MOKRÝ, O.; ZÁVIŠKA, P.; RAJMIC, P.; VESELÝ, V. Introducing SPAIN (SParse Audio INpainter). In 2019 27th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference, 2019. p. 666-670. ISBN: 978-9-0827-9702-2.
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MOKRÝ, O. Restaurace poškozených audiosignálů pomocí řídkých reprezentací. Kvaternion, 2018, roč. 2018, č. 1-2, s. 57-62. ISSN: 1805-1324.
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SCHIMMEL, J.; SYSEL, P.; KRAJSA, O.; RYŠAVÝ, M. Fractional-Octave Filters for Energy-Efficient Noise Measurement for Sensor Networks. In 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2018. p. 243-247. ISBN: 978-1-5386-9361-2.
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SCHIMMEL, J. Conversion of Lateral Energy Fraction Measurement into Stereophonic Room Impulse Responses. In 2018 41st International Conference on Telecommunications and Signal Processing (TSP). 2018. p. 392-395. ISBN: 978-1-5386-4695-3.
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MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting. Applied Sciences - Basel, 2019, vol. 8, no. 12, p. 1-18. ISSN: 2076-3417.
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GALÁŽ, Z.; MEKYSKA, J.; ZVONČÁK, V.; MUCHA, J.; KISKA, T.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRÁČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M.; ALONSO-HERNANDEZ, J.; GOMEZ-VILDA, P. Changes in Phonation and Their Relations with Progress of Parkinson’s Disease. Applied Sciences - Basel, 2019, vol. 8, no. 12, p. 1-18. ISSN: 2076-3417.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; MUCHA, J.; KISKA, T.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; SMÉKAL, Z. Vliv intra-writer normalizace na diagnózu vývojové dysgrafie založené na kvantitativní analýze online písma. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2019, roč. 20, č. 6, s. 1-5. ISSN: 1213-1539.
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NOVOSADOVÁ, M.; RAJMIC, P.; ŠOREL, M. Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising. EURASIP Journal on Advances in Signal Processing, 2019, vol. 2019, no. 6, p. 1-15. ISSN: 1687-6172.
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KOLAŘÍK, M.; BURGET, R.; UHER, V.; ŘÍHA, K.; DUTTA, M. Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation. Applied Sciences - Basel, 2019, vol. 9, no. 3, p. 1-17. ISSN: 2076-3417.
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BARTOŠ, M.; RAJMIC, P.; ŠOREL, M.; MANGOVÁ, M.; KEUNEN, O.; JIŘÍK, R. Spatially regularized estimation of the tissue homogeneity model parameters in DCE-MRI using proximal minimization. Magnetic Resonance in Medicine, 2019, vol. 82, no. 6, p. 2257-2272. ISSN: 1522-2594.
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ZÁVIŠKA, P.; RAJMIC, P.; SCHIMMEL, J. Psychoacoustically motivated audio declipping based on weighted l1 minimization. In Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 338-342. ISBN: 978-1-7281-1864-2.
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MUCHA, J.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; SANZ-CARTAGENA, M.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; SMÉKAL, Z.; LOPEZ-DE-IPINA, K.; REKTOROVÁ, I. Advanced Analysis of Online Handwriting in a Multilingual Cohort of Patients with Parkinson's Disease. In Advances in Signal Processing and Artificial Intelligence: Proceedings of the 1st International Conference on Advances in Signal Processing and Artificial Intelligence. 1. Barcelona, Spain: International Frequency Sensor Association (IFSA) Publishing, S. L., 2019. p. 144-147. ISBN: 978-84-09-10127-6.
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RAJNOHA, M. Scalable Person Identification System for Real-time Applications. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 500-504. ISBN: 978-80-214-5735-5.
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LIESKOVSKÝ, P.; RAJNOHA, M. Parametrizácia tváre z videa pomocou metód pre rozpoznávanie tváre. In Proceedings of the 25th Conference STUDENT EEICT 2019. 2019. s. 249-253. ISBN: 978-80-214-5735-5.
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SAFONOV, Y.; RAJNOHA, M. Genetic Programming for Source Code Generation to Solve NP-hard Problems. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2019, vol. 21, no. 1, p. 21-27. ISSN: 1213-1539.
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GOMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; FERRÁNDEZ VICENTE, J.M.; MEKYSKA, J.; ALVAREZ MARQUINA, A.; GOMEZ-VILDA, P. Evaluating Instability on Phonation in Parkinson's Disease and Aging Speech. In From Bioinspired Systems and Biomedical Applications to Machine Learning. 2019. p. 340-351. ISBN: 978-3-030-19650-9.
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GOMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; MEKYSKA, J.; ALVAREZ-MARQUINA, A.; GOMEZ-VILDA, P. Comparing Parkinson's disease dysarthria and aging speech using articulation kinematics. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2019. p. 52-61. ISBN: 9789897583537.
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GOMEZ, P.; MEKYSKA, J.; GOMEZ, A.; PALACIOS, D.; RODELLAR, V.; ALVAREZ, A. Characterization of Parkinson’s disease dysarthria in terms of speech articulation kinematics. BIOMED SIGNAL PROCES, 2019, vol. 52, no. 1, p. 312-320. ISSN: 1746-8094.
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SIKORA, P. SIMULATIONS OF DYNAMIC BANDWIDTH ALLOCATION ALGORITHMS. In Proceedings of the 25 th Conference STUDENT EEICT 2019. Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 744-748. ISBN: 978-80-214-5735-5.
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MOKRÝ, O.; RAJMIC, P. Reweighted l1 minimization for audio inpainting. Toulouse, France: 2019.
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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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ŘÍHA, K.; KŘUPKA, A.; COSTA, P. Image analysis applied to quartz grain microtextural provenance studies. COMPUTERS & GEOSCIENCES, 2019, no. 125, p. 98-108. ISSN: 0098-3004.
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KUCHAŘ, K.; HOLASOVÁ, E.; HRBOTICKÝ, L.; RAJNOHA, M.; BURGET, R. Supervised Learning in Multi-Agent Environments Using Inverse Point of View. In Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). 2019. p. 625-628. ISBN: 978-1-7281-1864-2.
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SIKORA, P.; HORVÁTH, T.; MÜNSTER, P.; OUJEZSKÝ, V. Efficiency Tests of DBA Algorithms in XG-PON. Electronics (MDPI), 2019, vol. 8, no. 7, p. 1-17. ISSN: 2079-9292.
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ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; SMÉKAL, Z.; BREZANY, P. New Approach of Dysgraphic Handwriting Analysis Based on the Tunable Q-Factor Wavelet Transform. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Opatja, Chorvatsko: 2019. p. 289-294. ISBN: 978-953-233-098-4.
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MEKYSKA, J; IŠTVÁNEK, M.; SPURNÝ, L.; SMÉKAL, Z. Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator. In 42nd International Conference on Telecommunications and Signal Processing (TSP). 2019. p. 351-354. ISBN: 978-1-7281-1864-2.
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KOLAŘÍK, M. Denoise pre-training for segmentation neural networks. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 739-744. ISBN: 978-80-214-5735-5.
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KOLAŘÍK, M.; BURGET, R.; UHER, V.; POVODA, L. Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). 2019. p. 643-646. ISBN: 978-1-7281-1864-2.
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MAUYA, R.; DUTTA, M.; KŘÍŽ, P.; ŘÍHA, K. An Image Processing based Identification of Fish Exposed to Polluted Water. In Proceedings of the 42th International Conference on Telecommunications and Signal Processing (TSP 2019). International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: 2019. p. 245-248. ISBN: 978-1-7281-1864-2. ISSN: 1805-5435.
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MUCHA, J.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I.; LOPEZ-DE-IPINA, K. Analysis of Parkinson’s Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. In 2019 27th European Signal Processing Conference (EUSIPCO). 18th European Signal Processing Conference (EUSIPCO-2010). New York: IEEE, 2019. p. 1-5. ISBN: 978-9-0827-9703-9. ISSN: 2076-1465.
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BREGER, A.; ORLANDO, J.; HARÁR, P.; DÖRFLER, M.; KLIMSCHA, S.; GRECHENIG, C.; GERENDAS, B.; SCHMIDT-ERFURTH, U.; EHLER, M. On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. Journal of Mathematical Imaging and Vision, 2020, vol. 62, no. 3, p. 376-394. ISSN: 1573-7683.
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IŠTVÁNEK, M.; SMÉKAL, Z.; SPURNÝ, L; MEKYSKA, J. Vylepšení metody výpočtu globálního tempa v rámci beat tracking systému na základě Teagerova-Kaiserova energetického operátoru. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. s. 398-400. ISBN: 978-80-214-5735-5.
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RAJMIC, P.; ZÁVIŠKA, P.; VESELÝ, V.; MOKRÝ, O. A new generalized projection and its application to acceleration of audio declipping. Axioms, 2019, vol. 8, no. 3, p. 1-20. ISSN: 2075-1680.
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BAMMER, R.; DÖRFLER, M.; HARÁR, P. Gabor frames and deep scattering networks in audio processing. Axioms, 2019, vol. 8, no. 4, p. 1-25. ISSN: 2075-1680.
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FATIMA, A.; MAUYA, R.; DUTTA, M.; BURGET, R.; MAŠEK, J. Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). 2019. p. 220-223. ISBN: 978-1-7281-1864-2.
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ZVONČÁK, V.; MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; ŠAFÁROVÁ, K.; FAÚNDEZ ZANUY, M.; SMÉKAL, Z. Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). 2019. p. 210-215. ISBN: 978-1-7281-5764-1.
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KOLAŘÍK, M.; BURGET, R.; ŘÍHA, K. Upsampling Algorithms for Autoencoder Segmentation Neural Networks: A Comparison Study. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin: 2019. p. 1-5. ISBN: 978-1-7281-5764-1.
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MEKYSKA, J.; GALÁŽ, Z.; ŠAFÁROVÁ, K.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ONDRÁČKOVÁ, A.; URBÁNEK, T.; HAVIGEROVÁ, J.M.; BEDNÁŘOVÁ, J.; FAÚNDEZ ZANUY, M. Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin, Irsko: 2019. p. 1-6. ISBN: 978-1-7281-5763-4.
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GÓMEZ-RODELLAR, A.; ÁLVAREZ-MARQUINA, A.; MEKYSKA, J.; PALACIOS-ALONSO, D.; MEGHRAOUI, D.; GÓMEZ-VILDA, P. Performance of Articulation Kinetic Distributions Vs MFCCs in Parkinson’s Detection from Vowel Utterances. In Neural Approaches to Dynamics of Signal Exchanges. 2020. p. 431-441. ISBN: 978-981-13-8949-8.
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RAJNOHA, M.; MIKULEC, V.; BURGET, R.; DRAŽIL, J. A Perspective of the Noise Removal for Faster Neural Network Training. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin: 2019. p. 1-4. ISBN: 978-1-7281-5763-4.
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IRSHAD, A.; MAUYA, R.; DUTTA, M.; BURGET, R.; UHER, V. Feature Optimization for Run Time Analysis of Malware in Windows Operating System using Machine Learning Approach. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 255-260. ISBN: 978-1-7281-1864-2.
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DUBEY, S.; PRATAP TRIPATHI, R.; DUTTA, M.; KŘÍŽ, P.; DORAZIL, J. Early Detection of Heart Valve Disease Employing Multiclass Classifier. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin, Ireland: 2019. p. 1-6. ISBN: 978-1-7281-5764-1.
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KŘÍŽ, P.; DUTTA, M.; PŘINOSIL, J.; ŘÍHA, K. Proposed Methods for Real-Time Visualization of Panoramic Stadium Tribune Images in High Resolution. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Dublin, Ireland: 2019. p. 1-5. ISBN: 978-1-7281-5764-1.
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GUPTA, A., KAUR, A., DUTTA, M., K., SCHIMMEL, J. Perceptually Transparent & Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition & Cordic QR Decomposition. In Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 313-317. ISBN: 978-1-7281-1864-2.
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MIKLÁNEK, Š. Klasifikace interpretací české klasické hudby za použití dynamického borcení časové osy a strojového učení. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2019, roč. 21, č. 5, s. 131-138. ISSN: 1213-1539.
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IŠTVÁNEK, M.; SMÉKAL, Z.; SPURNÝ, L.; MEKYSKA, J. Enhancement of Conventional Beat Tracking System Using Teager–Kaiser Energy Operator. Applied Sciences - Basel, 2020, vol. 10, no. 1, p. 1-20. ISSN: 2076-3417.
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POVODA, L.; BURGET, R.; DUTTA, M. K.; SENGAR, N. Genetic Optimization of Big Data Sentiment Analysis. In 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN). 2017. p. 141-144. ISBN: 978-1-5090-2796-5.
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RAJNOHA, M.; BURGET, R.; DUTTA, M. K.; ISSAC, A. Offline Handwritten Text Recognition Using Support Vector Machines. In 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN). 2017. p. 132-136. ISBN: 978-1-5090-2796-5.
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HARÁR, P.; BURGET, R.; DUTTA, M.; SINGH, A. Speech Emotion Recognition with Deep Learning. In 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN). Noida, India: 2017. p. 137-140. ISBN: 978-1-5090-2796-5.
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BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; REKTOROVÁ, I. Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation. JOURNAL OF NEURAL TRANSMISSION, 2017, vol. 124, no. 3, p. 303-334. ISSN: 0300-9564.
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PRŮŠA, Z.; RAJMIC, P. Toward High-Quality Real-Time Signal Reconstruction from STFT Magnitude. IEEE SIGNAL PROCESSING LETTERS, 2017, vol. 24, no. 6, p. 892-896. ISSN: 1070-9908.
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MANGOVÁ, M.; RAJMIC, P.; JIŘÍK, R. Dynamic Magnetic Resonance Imaging using Compressed Sensing with Multi-scale Low Rank Penalty. In Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP) 2017. Barcelona: 2017. p. 780-783. ISBN: 978-1-5090-3981-4.
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NOVOSADOVÁ, M.; RAJMIC, P. Piecewise-polynomial Signal Segmentation Using Reweighted Convex Optimization. In Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP) 2017. Barcelona: 2017. p. 769-774. ISBN: 978-1-5090-3981-4.
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MUCHA, J.; GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 739-742. ISBN: 978-1-5090-3981-4.
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MUCHA, J. IDENTIFICATION OF PARKINSON’S DISEASE USING ACOUSTIC ANALYSIS OF POEM RECITATION. In Proceedings of the 23nd Conference STUDENT EEICT 2017. Brno: 2017. p. 619-623. ISBN: 978-80-214-5496-5.
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MUCHA, J.; GALÁŽ, Z.; KISKA, T.; MEKYSKA, J.; ZVONČÁK, V.; SMÉKAL, Z. Acoustic analysis of poem recitation for identification of hypokinetic dysarthria in Parkinson’s disease patients. Book of Abstracts, CEITEC PhD Retreat II. Brno: Masarykova univerzita, 2017. p. 47 ( p.)ISBN: 978-80-210-8550-3.
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GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; FAÚNDEZ ZANUY, M. Assessing Freezing of Gait in Parkinson's Disease Using Analysis of Hypokinetic Dysarthria. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 735-738. ISBN: 978-1-5090-3981-4.
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GALÁŽ, Z.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z. Assessing Parkinson's disease using prosodic analysis of neutral, stress-modified and rhymed speech. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, vol. 19, no. 2, p. 57-66. ISSN: 1213-1539.
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GALÁŽ, Z. Correlation Analysis of Freezing of Gait and Speech Disorders in Parkinson's Disease. In Proceedings of the 23nd Conference STUDENT EEICT 2017. Brno: 2017. p. 1-5. ISBN: 978-80-214-5496-5.
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GALÁŽ, Z. Speech Disorders in Parkinson's Disease Patients With Mild Form of Freezing of Gait. In Proceedings of the 23nd Conference STUDENT EEICT 2017. Brno: 2017. p. 6-10. ISBN: 978-80-214-5496-5.
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GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z. Objektivní hodnocení poruch chůze na základě akustické analýzy četby dlouhého textu u pacientů s idiopatickou Parkinsonovou nemocí. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, roč. 19, č. 4, s. 1-7. ISSN: 1213-1539.
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MUCHA, J.; GALÁŽ, Z.; SMÉKAL, Z. Detekcia Parkinsonovej choroby pomocou akustickej analýzy prednesu básne. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2017, roč. 19, č. 2, s. 1-7. ISSN: 1213-1539.
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RAJNOHA, M.; BURGET, R.; DUTTA, M. Handwriting Comenia Script Recognition with Convolutional Neural Network. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona: 2017. p. 775-779. ISBN: 978-1-5090-3981-4.
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SENGAR, N.; DUTTA, M.; BURGET, R.; RAJNOHA, M. Automated Detection of Suspected Glaucoma in Digital Fundus Images. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). Barcelona: 2017. p. 749-752. ISBN: 978-1-5090-3981-4.
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MISHRA, M.; SINGH, A.; DUTTA, M.; BURGET, R.; MAŠEK, J. Classification of Normal and Abnormal Heart Sounds for Automatic Diagnosis. In 40th Anniversary of International Conference on Telecommunications and Signal Processing (TSP). International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 753-757. ISBN: 978-1-5090-3981-4. ISSN: 1805-5435.
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RAJMIC, P.; KOLDOVSKÝ, Z.; DAŇKOVÁ, M. Fast reconstruction of sparse relative impulse responses via second-order cone programming. In Proceedings of the 2017 Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). Institute of Electrical and Electronics Engineers Inc., 2017. p. 364-368. ISBN: 978-1-5386-1631-4.
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HARÁR, P.; ALONSO-HERNANDEZ, J.; MEKYSKA, J.; GALÁŽ, Z.; BURGET, R.; SMÉKAL, Z. Voice Pathology Detection Using Deep Learning: a Preliminary Study. In 2017 International Work Conference on Bio-inspired Intelligence (IWOBI). Funchal, Portugal: 2017. p. 45-48. ISBN: 978-1-5386-0850-0.
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APARAJITA, A.; SINGH, A.; DUTTA, M.; KŘÍŽ, P.; ŘÍHA, K. Image Processing Based Automated Identification of Late Blight Disease from Leaf Images of Potato Crops. In Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP 2017). International Conference on Telecommunications and Signal Processing (TSP). Barcelona, Španělsko: 2017. p. 758-762. ISBN: 978-1-5090-3981-4. ISSN: 1805-5435.
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KŘÍŽ, P.; ŘÍHA, K.; DUTTA, M. Automatic Determination of the Position of a Tennis Player Using a Pair of Cameras. In Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP 2017). International Conference on Telecommunications and Signal Processing (TSP). 2017. p. 763-768. ISBN: 978-1-5090-3981-4. ISSN: 1805-5435.
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GOMEZ-VILDA, P.; FERRÁNDEZ-VICENTE, J.; PALACIOS-ALONSO, D.; GÓMEZ-RODELLAR, A.; RODELLAR BIARGE, M.; MEKYSKA, J.; SMÉKAL, Z.; REKTOROVÁ, I.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M. Vowel Articulation Distortion in Parkinson’s Disease. In Biomedical Applications Based on Natural and Artificial Computing. Cham: Springer, 2017. p. 21-31. ISBN: 978-3-319-59772-0.
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GOMEZ-VILDA, P.; MEKYSKA, J.; MANUEL FERRANDEZ, J.; PALACIOS-ALONSO, D.; GÓMEZ-RODELLAR, A.; RODELLAR BIARGE, M.; GALÁŽ, Z.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers in Neuroinformatics, 2017, vol. 11, no. 56, p. 1-17. ISSN: 1662-5196.
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RAJMIC, P.; NOVOSADOVÁ, M.; DAŇKOVÁ, M. Piecewise-polynomial Signal Segmentation Using Convex Optimization. Kybernetika, 2017, vol. 53, no. 6, p. 1131-1149. ISSN: 0023-5954.
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VYAS, G.; DUTTA, M.; PŘINOSIL, J. Improving the computational complexity and word recognition rate for dysarthria speech using robust frame selection algorithm. International Journal of Signal and Imaging Systems Engineering, 2017, vol. 10, no. 3, p. 136-145. ISSN: 1748-0698.
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ALONSO-MARTINEZ, C.; FAÚNDEZ ZANUY, M.; MEKYSKA, J. A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting. Cognitive Computation, 2017, vol. 9, no. 5, p. 712-720. ISSN: 1866-9956.
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LOPEZ-DE-IPINA, K.; CALVO, P.; FAÚNDEZ ZANUY, M.; CLAVÉ, P.; NASCIMENTO, W.; MARTINEZ DE LIZARDUY, U.; DANIEL, A.; VIRIDIANA, A.; ORTEGA, O.; MEKYSKA, J.; SANZ-CARTAGENA, M. Automatic voice analysis for dysphagia detection. Speech, Language and Hearing, 2018, vol. 21, no. 2, p. 86-89. ISSN: 2050-5728.
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SMÉKAL, Z.; FANČAL, P. K čemu se dají použít spektra vyšších řádů?. Sdělovací technika, 2017, roč. 2017, č. 11, s. 26-30. ISSN: 0036-9942.
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JIŘÍK, R.; DAŇKOVÁ, M.; RAJMIC, P.; KRÁTKÁ, L.; DVOŘÁKOVÁ, L.; DRAŽANOVÁ, E.; STARČUK, Z. Absolute Quantification of Brain Perfusion using Golden Angle Compressed Sensing DCE-MRI. ISMRM 2016, 25th Annual Meeting & Exhibition, Honolulu, HI, USA, April 22--27. 2017. p. 1 (1 s.).
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FAÚNDEZ ZANUY, M.; MEKYSKA, J. Privacy of online handwriting biometrics related to biomedical analysis. In User-Centric Privacy and Security in Biometrics. London: The Institution of Engineering and Technology, 2017. p. 17-39. ISBN: 9781785612077.
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GOMEZ-VILDA, P.; MEKYSKA, J.; GÓMEZ-RODELLAR, A.; PALACIOS-ALONSO, D.; RODELLAR BIARGE, M.; ÁLVAREZ-MARQUINA, A. Monitoring Parkinson Disease from speech articulation kinematics. Loquens, 2017, vol. 4, no. 1, p. 1-12. ISSN: 2386-2637.
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SENGAR, N.; DUTTA, M.; BURGET, R.;. Detection of neuro mascular disease using EMG signals in wavelet domain. In 2017 IEEE Uttar Pradesh Section International Conference on Electrical. Mathura, India, India: IEEE, 2017. p. 624-627. ISBN: 978-1-5386-3004-4.
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BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; ZVONČÁK, V.; KISKA, T.; MUCHA, J.; SMÉKAL, Z.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Effects of non-invasive brain stimulation of the superior temporal gyrus on motor speech disorder in Parkinson's disease. European Journal of Neurology. European Journal of Neurology, 2017. p. 478-478. ISSN: 1468-1331.
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MAŠEK, J.; RAJNOHA, M.; BURGET, R.; DUTTA, M. Automatic System for Diseased Artery Transverse Section Detection. In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). Dillí, Indie: 2018. p. 322-326. ISBN: 978-1-5386-3045-7.
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RAJNOHA, M.; POVODA, L.; MAŠEK, J.; BURGET, R.; DUTTA, M. Pedestrian Detection from Low Resolution Public Cameras in the Wild. In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). New Delhi, India: 2018. p. 291-295. ISBN: 978-1-5386-3045-7.
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ZÁVIŠKA, P. Image Bit-Depth Expansion Method Based on Sparse Representations. In Proceedings of the 24th Conference STUDENT EEICT 2018. Brno: VUT v Brně, 2018. p. 393-397. ISBN: 978-80-214-5614-3.
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SPURNÝ, L., FANČAL, P. Hudba a interpretace. K otázkám analýzy hudebního výkonu. Musicologica Brunensia. (Studia minora Facultatis philosophicae universitatis brunensis.) Masarykova univerzita AL, 2017, roč. 52, č. 2, s. 109-120. ISSN: 1212-0391.
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ZÁVIŠKA, P.; RAJMIC, P.; PRŮŠA, Z.; VESELÝ, V. Revisiting synthesis model in Sparse Audio Declipper. In Latent Variable Analysis and Signal Separation, 14th International Conference, LVA/ICA 2018 Proceedings. Lecture Notes in Computer Science. Cham: Springer, 2018. p. 429-445. ISBN: 978-3-319-93764-9.
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REPP, R.; RAJMIC, P.; MEYER, F.; HLAWATSCH, F. Target Tracking Using a Distributed Particle-PDA Filter with Sparsity-promoting Likelihood Consensus. In Proceedings of the 2018 IEEE Statistical Signal Processing Workshop (SSP). Freiburg im Breisgau: IEEE, 2018. p. 653-657. ISBN: 978-1-5386-1570-6.
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RAJNOHA, M. Realtime Pedestrian Recognition Using Siamese Network. In Proceedings of the 24rd Conference STUDENT EEICT 2018. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2018. p. 441-445. ISBN: 978-80-214-5614-3.
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MUCHA, J. NEW METHODOLOGY OF PARKINSONIC DYSGRAPHIA ANALYSIS BY ONLINE HANDWRITING USING FRACTIONAL DERIVATIVES. In Proceedings of the 24nd Conference STUDENT EEICT 2018. BRNO: 2018. p. 398-402. ISBN: 978-80-214-5614-3.
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HARÁR, P.; GALÁŽ, Z.; ALONSO-HERNANDEZ, J.; MEKYSKA, J.; BURGET, R.; SMÉKAL, Z. Towards robust voice pathology detection Investigation of supervised deep learning, gradient boosting, and anomaly detection approaches across four databases. Neural Computing and Applications, 2020, vol. 1, no. 1, p. 15747-15757. ISSN: 1433-3058.
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KŘÍŽ, P.; PŘINOSIL, J.; ŘÍHA, K.; DUTTA, M.; ISSAC, A. Facial image de-identification using active appearance model. In 2017 International Conference on Emerging Trends in Computing and Communication Technologies. Dehradun, India: IEEE, 2017. p. 1-5. ISBN: 978-1-5386-1147-0.
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ZVONČÁK, V.; ŠAFÁROVÁ, K.; MEKYSKA, J.; MUCHA, J.; KISKA, T.; LOSENICKÁ, B.; ČECHOVÁ, B.; FRANCOVÁ, P.; SMÉKAL, Z. Automatizovaná diagnóza vývojové dysgrafie založená na kvantitativní analýze online písma. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2018, roč. 20, č. 2, s. 1-6. ISSN: 1213-1539.
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ZVONČÁK, V. Developmental Dysgraphia Diagnosis Based on Quantitative Analysis of Online Handwriting. In Proceedings of the 24nd Conference STUDENT EEICT 2018. Brno: 2018. p. 446-450. ISBN: 978-80-214-5614-3.
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LOPEZ-DE-IPINA, K.; MARTINEZ-DE-LIZARDUY, U.; CALVO, P.M.; MEKYSKA, J.; BEITIA, B.; BARROSO, N.; ESTANGA, A.; TAINTA, M.; ECAY-TORRES, M. Advances on Automatic Speech Analysis for Early Detection of Alzheimer Disease: A Non-linear Multi-task Approach. Current Alzheimer Research, 2018, vol. 15, no. 2, p. 139-148. ISSN: 1567-2050.
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YU, X.; ZHOU, Z.; GAO, Q.; LI, D.; ŘÍHA, K. Infrared image segmentation using growing immune field and clone threshold. INFRARED PHYSICS & TECHNOLOGY, 2018, vol. 88, no. 2018, p. 184-193. ISSN: 1350-4495.
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BRABENEC, L.; MEKYSKA, J.; GALÁŽ, Z.; KLOBUŠIAKOVÁ, P.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I. Effects of non-invasive brain stimulation on motor speech disorder in Parkinson’s disease. Clinical Neurophysiology. 2018. p. e9 ( p.)ISSN: 1388-2457.
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HÁJEK, V.; HARÁR, P.; SCHIMMEL, J.; BURGET, R. BUT-CZAS: Korpus kvalitních nahrávek české řeči pořízených v bezodrazové komoře. Elektrorevue - Internetový časopis (http://www.elektrorevue.cz), 2018, roč. 20, č. 2, s. 48-52. ISSN: 1213-1539.
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MUCHA, J.; ZVONČÁK, V.; GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; SMÉKAL, Z.; FAÚNDEZ ZANUY, M.; BRABENEC, L.; REKTOROVÁ, I.; LOPEZ-DE-IPINA, K. Fractional Derivatives of Online Handwriting: a New Approach of Parkinsonic Dysgraphia Analysis. In 41st International Conference on Telecommunications and Signal Processing (TSP). Atény, Řecko: 2018. p. 214-217. ISBN: 978-1-5386-4695-3.
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GALÁŽ, Z.; MEKYSKA, J.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; HARÁR, P.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; MRAČKOVÁ, M.; KOŠŤÁLOVÁ, M.; REKTOROVÁ, I.; ALONSO-HERNANDEZ, J.; GOMEZ-VILDA, P. Monitoring Progress of Parkinson’s Disease Based on Changes in Phonation: a Pilot Study. In 41st International Conference on Telecommunications and Signal Processing (TSP). Atény, Řecko: Institute of Electrical and Electronics Engineers Inc., 2018. p. 218-221. ISBN: 978-1-5386-4695-3.
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DORAZIL, J.; ŘÍHA, K.; DUTTA, M.; SINGH, A. Change Detection in Presence of Registration Error Using LTP Histograms. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing. Technická 3058/10, 616 00 Brno, Czech Republic: Faculty of Electrical Engineering and Communacation, Brno University of Technology, 2018. p. 380-383. ISBN: 978-1-5386-4695-3.
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KŘÍŽ, P.; ŘÍHA, K.; DUTTA, M.; SINGH, A.; NECHITI, M. Determination of a Person’s Height from Images Using a Known Object Size. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing. Athens: Institute of Electrical and Electronics Engineers Inc., 2018. p. 384-387. ISBN: 978-1-5386-4695-3.
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DAHIYA, D.; ISSAC, A.; DUTTA, M.; ŘÍHA, K.; KŘÍŽ, P. Computer Vision Technique for Scene Captioning to provide Assistance to Visually Impaired. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing. Technická 3058/10, 616 00 Brno, Czech Republic: Faculty of Electrical Engineering and Communacation, Brno University of Technology, 2018. p. 372-375. ISBN: 978-1-5386-4695-3.
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MANGIPUDI, P.; BANNERJEE, P.; DUTTA, M.; ŘÍHA, K.; DORAZIL, J. A Stochastic Method For Ultrasound Despeckling In Images Via Dynamic Weight Allocation. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing. Technická 3058/10, 616 00 Brno, Czech Republic: Faculty of Electrical Engineering and Communacation, Brno University of Technology, 2018. p. 228-231. ISBN: 978-1-5386-4695-3.
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KOLAŘÍK, M.; BURGET, R.; UHER, V.; DUTTA, M. 3D Dense-U-Net for MRI brain tissue segmentation. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing (TSP). Athens, Greece: IEEE, 2018. p. 237-240. ISBN: 978-1-5386-4695-3.
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KOLAŘÍK, M.; BURGET, R.; UHER, V.; DUTTA, M. Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing (TSP). Athens, Greece: IEEE, 2018. p. 222-227. ISBN: 978-1-5386-4695-3.
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BARTOŠ, M.; ŠOREL, M.; MANGOVÁ, M.; RAJMIC, P.; STANDARA, M.; JIŘÍK, R. DCE-MRI Perfusion Analysis with L1-Norm Spatial Regularization. Joint Annual Meeting ISMRM-ESMRMB 2018, Paris Expo Porte de Versailles, Paris, France, June 16--21. 2018. p. 1-3.
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WALNER, H.; BARTOŠ, M.; MANGOVÁ, M.; KEUNEN, O.; BJERKVIG, R.; JIŘÍK, R.; ŠOREL, M. Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data. In World Congress on Medical Physics and Biomedical Engineering 2018. 2019. p. 267-271. ISBN: 978-981-10-9035-6.
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SMÉKAL, Z. From Analog to Digital Signal Processing: Theory, Algorithms and Implementation. první. první. Prague: Sdělovacxí technika, 2018. 504 p. ISBN: 978-80-86645-25-4.
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MEKYSKA, J.; GALÁŽ, Z.; KISKA, T.; ZVONČÁK, V.; MUCHA, J.; SMÉKAL, Z.; ELIÁŠOVÁ, I.; KOŠŤÁLOVÁ, M.; MRAČKOVÁ, M.; FIEDOROVÁ, D.; FAUNDEZ-ZANUY, M.; SOLÉ-CASALS, J.; GÓMEZ-VILDA, P.; REKTOROVÁ, I. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease. Cognitive Computation, 2018, vol. 10, no. 6, p. 1006-1018. ISSN: 1866-9956.
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MUCHA, J.; MEKYSKA, J.; FAÚNDEZ ZANUY, M.; LOPEZ-DE-IPINA, K.; ZVONČÁK, V.; GALÁŽ, Z.; KISKA, T.; SMÉKAL, Z.; BRABENEC, L.; REKTOROVÁ, I. Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Moskva, Rusko: 2018. p. 77-82. ISBN: 978-1-5386-9361-2. ISSN: 2157-023X.
Detail

GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro optimalizaci klasifikační analýzy; Software pro optimalizaci klasifikační analýzy. http://splab.cz/download/software/software-pro-optimalizaci-klasifikacni-analyzy. URL: http://splab.cz/download/software/software-pro-optimalizaci-klasifikacni-analyzy. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro optimalizaci regresní analýzy; Software pro optimalizaci regresní analýzy. http://splab.cz/download/software/software-pro-optimalizaci-regresni-analyzy. URL: http://splab.cz/download/software/software-pro-optimalizaci-regresni-analyzy. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro ověření validity opakované analýzy; Software pro ověření validity opakované analýzy. http://splab.cz/download/software/software-pro-overeni-validity-opakovane-analyzy. URL: http://splab.cz/download/software/software-pro-overeni-validity-opakovane-analyzy. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro parciální korelační analýzu; Software pro parciální korelační analýzu. http://splab.cz/download/software/software-pro-parcialni-korelacni-analyzu. URL: http://splab.cz/download/software/software-pro-parcialni-korelacni-analyzu. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro detekci anomálií; Software pro detekci anomálií. http://splab.cz/download/software/software-pro-detekci-anomalii. URL: http://splab.cz/download/software/software-pro-detekci-anomalii. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro klasifikační učící křivky; Software pro klasifikační učící křivky. http://splab.cz/download/software/software-pro-klasifikacni-ucici-krivky. URL: http://splab.cz/download/software/software-pro-klasifikacni-ucici-krivky. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro regresní učící křivky; Software pro regresní učící křivky. http://splab.cz/download/software/software-pro-regresni-ucici-krivky. URL: http://splab.cz/download/software/software-pro-regresni-ucici-krivky. (software)
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HARÁR, P.; BURGET, R.; POVODA, L.; RAJNOHA, M.: Kex-library; KEX - Software library for easier management and result interpretation of Keras experiments. Kancelář SE5.123 (Harár). URL: http://splab.cz/download/software/kex-library. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro regularizovanou regresní analýzu; Software pro regularizovanou regresní analýzu. http://splab.cz/download/software/software-pro-regularizovanou-regresni-analyzu. URL: http://splab.cz/download/software/software-pro-regularizovanou-regresni-analyzu. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro neparametrickou regresní analýzu; Software pro neparametrickou regresní analýzu. http://splab.cz/download/software/software-pro-neparametrickou-regresni-analyzu. URL: http://splab.cz/download/software/software-pro-neparametrickou-regresni-analyzu. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro generování tabulek regresní analýzy; Software pro generování tabulek regresní analýzy. http://splab.cz/download/software/software-pro-generovani-tabulek-regresni-analyzy. URL: http://splab.cz/download/software/software-pro-generovani-tabulek-regresni-analyzy. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro regularizovanou logistickou regresi; Software pro regularizovanou logistickou regresi. http://splab.cz/download/software/software-pro-regularizovanou-logistickou-regresi. URL: http://splab.cz/download/software/software-pro-regularizovanou-logistickou-regresi. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro záznam dat z tabletu; Software pro záznam dat z tabletu. http://splab.cz/download/software/software-pro-zaznam-dat-z-tabletu. URL: http://splab.cz/download/software/software-pro-zaznam-dat-z-tabletu. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro konverzi řečových parametrů do notace LaTeX; Software pro konverzi řečových parametrů do notace LaTeX. http://splab.cz/download/software/software-pro-konverzi-recovych-parametru-do-notace-latex. URL: http://splab.cz/download/software/software-pro-konverzi-recovych-parametru-do-notace-latex. (software)
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GALÁŽ, Z.: Knihovna pro komunikaci s e-paper zařízením; Knihovna pro komunikaci s e-paper zařízením. Herman elektronika, Brněnská 993, 664 42 Modřice-Brno-jih. URL: http://splab.cz/download/software/knihovna-pro-komunikaci-s-e-paper-zarizenim. (software)
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GALÁŽ, Z.: Software pro zobrazování jízdních řádů; Software pro zobrazování jízdních řádů. Herman elektronika, Brněnská 993, 664 42 Modřice-Brno-jih. URL: http://splab.cz/download/software/software-pro-zobrazovani-jizdnich-radu. (software)
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POVODA, L.; BURGET, R.: NOTAM detektor 1.0; Software pro detekci složitých oblastí v NOTAM zprávách. Ústav telekomunikací, FEKT VUT v Brně. URL: http://splab.cz/download/software/software-pro-detekci-slozitych-oblasti-v-notam-zpravach. (software)
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DUFKA, F.; FRENŠTÁTSKÝ, P.; SCHIMMEL, J.: VirtualMic; Zásuvný modul VirtualMic. Laboratoř zvukových systémů SC5.50, Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, Ústav telekomunikací, Technická 12, 616 00 Brno. URL: http://splab.cz/download/software/virtualmic. (software)
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PEVNÝ, J.; FRENŠTÁTSKÝ, P.; SCHIMMEL, J.: WIGLIB; Knihovna WIGLIB. Laboratoř zvukových systémů SC5.50, Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, Ústav telekomunikací, Technická 12, 616 00 Brno. URL: http://splab.cz/download/software/wiglib. (software)
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MUCHA, J.; MEKYSKA, J.; ZVONČÁK, V.; GALÁŽ, Z.; SMÉKAL, Z.: HandAQUS; HandAQUS - Handwriting acquisition software. https://gitlab.com/JanMucha/HandAQUS_Software.git. URL: https://gitlab.com/JanMucha/HandAQUS_Software.git. (software)
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HARÁR, P.: Gaussifier; Gaussifier. Kancelář SE5.123 (Harár). URL: https://gitlab.com/paloha/gaussifier. (software)
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HARÁR, P.; ELBRÄCHTER, D.: Redistributor; Redistributor. Kancelář SE5.123 (Harár). URL: https://gitlab.com/paloha/redistributor. (software)
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MUCHA, J.: FracDeriFeatures; Software for fractional derivatives based features calculation. https://gitlab.com/JanMucha/FracDeriFeatures/tree/master. URL: https://gitlab.com/JanMucha/FracDeriFeatures/tree/master. (software)
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ZÁVIŠKA, P.: ASPADE vs SSPADE; Software for Sparse Restoration of Clipped Audio Signals. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/aspade_vs_sspade.zip. (software)
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ZÁVIŠKA, P.: S-SPADE DR; Synthesis-based Sparse Audio Declipper Done Right. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/SPADE-DR.zip. (software)
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MOKRÝ, O.: SPAIN; Sparse Audio Inpainter. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/SPAIN.zip. (software)
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NOVOSADOVÁ, M.: S - edge_detector; Piecewise Polynomial Edge Image Detector. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/edge_detect.zip. (software)
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ZÁVIŠKA, P.: Generalized projector; Projector onto a box-constrained set with a Parseval frame operator. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/project_accel_declip.zip. (software)
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ZÁVIŠKA, P.: Declip_psychoacoust; Psychoacoustically motivated audio declipper based on sparsity. pracovna SD5.66, Technická 12, 61600 Brno. URL: http://www.utko.feec.vutbr.cz/~rajmic/software/declip_psychoacoust.zip. (software)
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KOLAŘÍK, M.; BURGET, R.; UHER, V.; ŘÍHA, K.: Dense-U-Net; Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation. Kancelář SE5.123 (Kolařík). URL: https://github.com/mrkolarik/3D-brain-segmentation. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro datovou analýzu; Software pro datovou analýzu. https://github.com/zgalaz/data-science-helpers. URL: https://github.com/zgalaz/data-science-helpers. (software)
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GALÁŽ, Z.; MEKYSKA, J.; SMÉKAL, Z.: Software pro výzkum onemocnění mozku; Software pro výzkum onemocnění mozku. https://github.com/zgalaz/phd-research-helpers. URL: https://github.com/zgalaz/phd-research-helpers. (software)
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ZVONČÁK, V.; MEKYSKA, J.; GALÁŽ, Z.; MUCHA, J.: Labeling software for online handwriting (LSOW); Labeling software for online handwriting (LSOW). https://gitlab.com/zv01/LSOW. URL: https://gitlab.com/zv01/LSOW. (software)
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ILGNER, P.; ZVONČÁK, V.; MUCHA, J.; MEKYSKA, J.; GALÁŽ, Z.: Synchronized record of EEG signals and online handwriting (SREW); Synchronized record of EEG signals and online handwriting (SREW). https://gitlab.com/zv01/SREW. URL: https://gitlab.com/zv01/SREW. (software)
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ILGNER, P.; ZVONČÁK, V.; MEKYSKA, J.; GALÁŽ, Z.; MUCHA, J.: Software for online handwriting record on digitizers with LCD screen (OWSTU); Software for online handwriting record on digitizers with LCD screen (OWSTU). https://gitlab.com/zv01/OWSTU. URL: https://gitlab.com/zv01/OWSTU. (software)
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