Detail projektu

Multimodální zpracování nestrukturovaných dat s využitím strojového učení a sofistikovaných metod analýzy signálů a obrazů

Období řešení: 01.03.2017 — 29.02.2020

Zdroje financování

Vysoké učení technické v Brně - Vnitřní projekty VUT

- plně financující (2017-01-01 - 2018-12-31)

O projektu

Specifický výzkum v oblasti multimodálního zpracování nestrukturovaných dat a sofistikované analýzy signálů a obrazů bude zaměřen na následující oblasti: paraklinické metody monitorování progrese a efektu léčby Parkinsonovy nemoci s ohledem na léčbu hypokinetické dysartie, pokročilé techniky analýzy nestrukturovaných dat s využitím metod hlubokého učení pro nalezení skrytých vzorců a optimalizační modely, metody a algoritmy pro zpracování nestrukturovaných dat v algoritmech psychoakustických modelů řídkých reprezentací.

Označení

FEKT-S-17-4476

Originální jazyk

čeština

Řešitelé

Útvary

Ústav telekomunikací
- interní (01.01.2017 - 31.12.2019)
Fakulta elektrotechniky a komunikačních technologií
- příjemce (01.01.2017 - 31.12.2019)

Výsledky

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

ZÁVIŠKA, P.; MOKRÝ, O.; RAJMIC, P. S-SPADE Done Right: Detailed Study of the Sparse Audio Declipper Algorithms. 2018. p. 1-8.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

MOKRÝ, O. Restaurace poškozených audiosignálů pomocí řídkých reprezentací. Kvaternion, 2018, roč. 2018, č. 1-2, s. 57-62. ISSN: 1805-1324.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

MOKRÝ, O.; RAJMIC, P. Reweighted l1 minimization for audio inpainting. Toulouse, France: 2019.
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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.).
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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.
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

HARÁR, P.: Gaussifier; Gaussifier. Kancelář SE5.123 (Harár). URL: https://gitlab.com/paloha/gaussifier. (software)
Detail

HARÁR, P.; ELBRÄCHTER, D.: Redistributor; Redistributor. Kancelář SE5.123 (Harár). URL: https://gitlab.com/paloha/redistributor. (software)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

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)
Detail

Odpovědnost: Smékal Zdeněk, prof. Ing., CSc.

VUT

Fakulty

Vysokoškolské ústavy

Součásti

Multimodální zpracování nestrukturovaných dat s využitím strojového učení a sofistikovaných metod analýzy signálů a obrazů