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Zdenek Smékal
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2020 – today
- 2023
- [c51]Jirí Mekyska
, Zoltan Galaz
Assessment of Developmental Dysgraphia Utilising a Display Tablet. IGS 2023: 21-35 - [c50]Matej Istvanek, Stepán Miklánek, Klára Hedvika Mühlová, Lubomir Spurny, Zdenek Smékal:
Application of Computational Methods for Comparative Music Analysis. IS2 2023: 1-6 - [i10]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. CoRR abs/2301.08529 (2023) - [i9]Zoltan Galaz, Jirí Mekyska
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. CoRR abs/2301.08534 (2023) - 2022
- [j19]Zoltan Galaz, Peter Drotár, Jirí Mekyska
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [j18]Joaquín Torres-Sospedra
Applications and Innovations on Sensor-Enabled Wearable Devices. Sensors 22(7): 2599 (2022) - [c49]Zoltan Galaz
Prodromal Diagnosis of Lewy Body Diseases Based on the Assessment of Graphomotor and Handwriting Difficulties. IGS 2022: 255-268 - [c48]Jan Mucha
Exploration of Various Fractional Order Derivatives in Parkinson's Disease Dysgraphia Analysis. IGS 2022: 308-321 - [i8]Jirí Mekyska
Assessing Progress of Parkinson s Disease Using Acoustic Analysis of Phonation. CoRR abs/2203.09295 (2022) - [i7]Jirí Mekyska
Robust and Complex Approach of Pathological Speech Signal Analysis. CoRR abs/2203.09402 (2022) - [i6]Jan Mucha, Zoltan Galaz, Jirí Mekyska
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation. CoRR abs/2203.09880 (2022) - [i5]Jirí Mekyska
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. CoRR abs/2203.10830 (2022) - [i4]Peter Drotár, Jirí Mekyska
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR abs/2203.11269 (2022) - 2020
- [j17]Zoltan Galaz
Advanced Parametrization of Graphomotor Difficulties in School-Aged Children. IEEE Access 8: 112883-112897 (2020) - [j16]Jan Mucha
Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties. IEEE Access 8: 218234-218244 (2020) - [j15]María Luisa Barragán Pulido, Jesús Bernardino Alonso Hernández
Alzheimer's disease and automatic speech analysis: A review. Expert Syst. Appl. 150: 113213 (2020) - [j14]Pavol Harár
Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15747-15757 (2020) - [j13]Pavol Harár
Correction to: Towards robust voice pathology detection. Neural Comput. Appl. 32(20): 15759 (2020)
2010 – 2019
- 2019
- [j12]Pedro Gómez Vilda
Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset. Int. J. Neural Syst. 29(2): 1850037:1-1850037:13 (2019) - [c47]Jan Mucha
Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features. EUSIPCO 2019: 1-5 - [c46]Pavol Harár, Roswitha Bammer, Anna Breger
Improving Machine Hearing on Limited Data Sets. ICUMT 2019: 1-6 - [c45]Jirí Mekyska
Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. ICUMT 2019: 1-6 - [c44]Vojtech Zvoncak, Jan Mucha
Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. ICUMT 2019: 1-6 - [c43]Vojtech Zvoncak, Jirí Mekyska
New Approach of Dysgraphic Handwriting Analysis Based on the Tunable Q-Factor Wavelet Transform. MIPRO 2019: 289-294 - [c42]Jirí Mekyska
Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator. TSP 2019: 351-354 - [i3]Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár
Machines listening to music: the role of signal representations in learning from music. CoRR abs/1903.08950 (2019) - [i2]Pavol Harár
Voice Pathology Detection Using Deep Learning: a Preliminary Study. CoRR abs/1907.05905 (2019) - [i1]Pavol Harár
Towards Robust Voice Pathology Detection. CoRR abs/1907.06129 (2019) - 2018
- [j11]Jirí Mekyska
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. Cogn. Comput. 10(6): 1006-1018 (2018) - [c41]Tomas Kiska, Zoltan Galaz
Music Information Retrieval Techniques for Determining the Place of Origin of a Music Interpretation. ICUMT 2018: 1-5 - [c40]Jan Mucha
Advanced Parkinson's Disease Dysgraphia Analysis Based on Fractional Derivatives of Online Handwriting. ICUMT 2018: 1-6 - [c39]Vojtech Zvoncak
Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. ICUMT 2018: 1-5 - [c38]Zoltan Galaz
Monitoring Progress of Parkinson's Disease Based on Changes in Phonation: a Pilot Study. TSP 2018: 1-5 - [c37]Jan Mucha
Fractional Derivatives of Online Handwriting: A New Approach of Parkinsonic Dysgraphia Analysis. TSP 2018: 1-4 - 2017
- [j10]Pedro Gómez Vilda
Parkinson Disease Detection from Speech Articulation Neuromechanics. Frontiers Neuroinformatics 11: 56 (2017) - [j9]Jirí Mekyska
Identification and Rating of Developmental Dysgraphia by Handwriting Analysis. IEEE Trans. Hum. Mach. Syst. 47(2): 235-248 (2017) - [c36]Pedro Gómez Vilda
Vowel Articulation Distortion in Parkinson's Disease. IWINAC (2) 2017: 21-31 - [c35]Pavol Harár
Voice Pathology Detection Using Deep Learning: a Preliminary Study. IWOBI 2017: 1-4 - [c34]Zoltan Galaz
Assessing freezing of gait in parkinson's disease using analysis of hypokinetic dysarthria. TSP 2017: 735-738 - [c33]Jan Mucha
Identification of hypokinetic dysarthria using acoustic analysis of poem recitation. TSP 2017: 739-742 - 2016
- [j8]Peter Drotár
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine 67: 39-46 (2016) - [j7]Zoltan Galaz
Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. Comput. Methods Programs Biomed. 127: 301-317 (2016) - [c32]Zoltan Galaz
Degree of Parkinson's disease severity estimation based on speech signal processing. TSP 2016: 503-506 - [p1]Jirí Mekyska, Zdenek Smékal, Zoltan Galaz, Zdenek Mzourek, Irena Rektorová, Marcos Faúndez-Zanuy, Karmele López de Ipiña:
Perceptual Features as Markers of Parkinson's Disease: The Issue of Clinical Interpretability. Recent Advances in Nonlinear Speech Processing 2016: 83-91 - 2015
- [j6]Peter Drotár
An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Medicine 66: 1-10 (2015) - [j5]Jirí Mekyska
Robust and complex approach of pathological speech signal analysis. Neurocomputing 167: 94-111 (2015) - [c31]Jirí Mekyska, Zoltan Galaz
Assessing progress of Parkinson's disease using acoustic analysis of phonation. IWOBI 2015: 111-118 - [c30]Peter Drotár
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA 2015: 344-348 - [c29]Ondrej Smirg, Ondrej Liberda, Zdenek Smékal
Segmentation and creating 3D model of temporomandibular condyle. TSP 2015: 729-734 - 2014
- [j4]Peter Drotár
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. 117(3): 405-411 (2014) - [c28]Hicham Atassi, Zdenek Smékal
Automatic identification of successful phone calls in call centers based on dialogue analysis. CogInfoCom 2014: 425-429 - 2013
- [j3]Marcos Faúndez-Zanuy
Biometric Applications Related to Human Beings: There Is Life beyond Security. Cogn. Comput. 5(1): 136-151 (2013) - [c27]Peter Drotár
A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE 2013: 1-4 - [c26]Ondrej Smirg, Zdenek Smékal
Automatic detection of the direction and speed of moving objects in the video. IC3 2013: 86-90 - [c25]Ondrej Smirg, Ondrej Liberda, Zdenek Smékal
Automated detection of important facial curves in radiographs. TSP 2013: 778-782 - 2012
- [c24]Hicham Atassi, Zdenek Smékal
Emotion recognition from spontaneous Slavic speech. CogInfoCom 2012: 389-394 - [c23]Jirí Mekyska
Interest points as a focus measure. TSP 2012: 774-778 - [c22]Ondrej Smirg, Zdenek Smékal
Real-time detection of human body in videos. TSP 2012: 784-788 - 2011
- [j2]Karel Bartusek
Wavelet-based de-noising techniques in MRI. Comput. Methods Programs Biomed. 104(3): 480-488 (2011) - [c21]Hicham Atassi, Anna Esposito
Analysis of high-level features for vocal emotion recognition. TSP 2011: 361-366 - [c20]Ondrej Smirg, Ondrej Liberda, Andrea Sprlakova, Zdenek Smékal
Creating a 3D model of the temporomandibular joint disc on the basis of segmented MRI slices. TSP 2011: 369-375 - [c19]Jirí Mekyska
Selection of optimal parameters for automatic analysis of speech disorders in Parkinson's disease. TSP 2011: 408-412 - 2010
- [c18]Jirí Mekyska
Score Fusion in Text-Dependent Speaker Recognition Systems. COST 2102 Conference 2010: 120-132
2000 – 2009
- 2009
- [c17]Hicham Atassi, Maria Teresa Riviello, Zdenek Smékal, Amir Hussain, Anna Esposito
Emotional Vocal Expressions Recognition Using the COST 2102 Italian Database of Emotional Speech. COST 2102 Training School 2009: 255-267 - [c16]Ondrej Liberda, Karel Bartusek
Data processing in studying the temporomandibular joint, using MR imaging and sonographic techniques. DPS 2009: 1-6 - 2008
- [j1]Anna Esposito
Cognitive Role of Speech Pauses and Algorithmic Considerations for their Processing. Int. J. Pattern Recognit. Artif. Intell. 22(5): 1073-1088 (2008) - [c15]Jan Cermak, Zdenek Smékal
Underdetermined Blind Source Separation Using Linear Separation System. COST 2102 School (Vietri) 2008: 300-305 - [c14]Jiri Schimmel, Ivan Koula, Jiri Misurec, Zdenek Smékal
Spectral Characteristics of Nonlinear Systems Approximated by Piecewise Linear Function. ICN 2008: 578-583 - [c13]Karel Bartusek
Analysis of MR Images Deformed by Magnetic Implants. ICONS 2008: 312-316 - 2007
- [c12]Anna Esposito
The Significance of Empty Speech Pauses: Cognitive and Algorithmic Issues. BVAI 2007: 542-554 - [c11]Jiri Prinosil, Zdenek Smékal
Combining Features for Recognizing Emotional Facial Expressions in Static Images. COST 2102 Workshop (Patras) 2007: 56-69 - [c10]Zdenek Smékal, Petr Sysel:
Single-Channel Noise Suppression by Wavelets in Spectral Domain. COST 2102 Workshop (Vietri) 2007: 150-164 - [c9]Eva Gescheidtova, Radek Kubasek, Karel Bartusek
Shortening the Switching Times of Gradients for MR Tomography and Spectroscopy. ICN 2007: 71 - [c8]Petr Sysel, Zdenek Smékal
Enhanced estimation of power spectral density of noise using the wavelet transform. PWC 2007: 521-532 - 2006
- [c7]Radek Kubasek, Zdenek Smékal
Design of Two-channel Half-band Bank of Digital Filters using Optimization Methods. ICN/ICONS/MCL 2006: 151 - [c6]Karel Bartusek
Measuring the Diffusion of Nuclei in Biological Systems by Magnetic Resonance Methods: Checking the Quality of Gradient Magnetic Fields. ICN/ICONS/MCL 2006: 194 - 2005
- [c5]Eva Gescheidtova, Radek Kubasek, Zdenek Smékal, Karel Bartusek:
Automatic Adjustment of Time-Variant Thresholds When Filtering Signals in MR Tomography. ICN (2) 2005: 384-391 - 2000
- [c4]Zdenek Smékal, Robert Vích:
Cepstral Vocal Tract Modelling for Fixed- Point Digital Signal Processor Implementation. KONVENS 2000: 135-139
1990 – 1999
- 1999
- [c3]Zdenek Smékal, Robert Vích:
New Method of Composite FIR and IIR Filtering for Cepstral Speech Synthesis. Applied Informatics 1999: 264-267 - [c2]Zdenek Smékal, Robert Vích:
Optimized models of IIR digital filters for fixed-point digital signal processor. ICECS 1999: 145-148 - 1998
- [c1]Robert Vích, Zdenek Smékal:
LPC and CCF vocal tract models in speech synthesis. EUSIPCO 1998: 1-4
Coauthor Index
Jesús B. Alonso
aka: Jesús Bernardino Alonso Hernández
aka: Jesús Bernardino Alonso Hernández
José Manuel Ferrández
aka: José Manuel Ferrández de Vicente
aka: José M. Ferrández
aka: J. M. Ferrández-Vicente
aka: José Manuel Ferrández de Vicente
aka: José M. Ferrández
aka: J. M. Ferrández-Vicente
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last updated on 2024-10-16 20:31 CEST by the dblp team
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