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Ales Procházka
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2020 – today
- 2024
- [j36]Lucie Gonsorcikova
, Ales Procházka
Assessing Pediatric Gait Symmetry Through Accelerometry and Computational Intelligence. IEEE Access 12: 125358-125368 (2024) - [j35]Ales Procházka
Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study. IEEE Access 12: 165042-165049 (2024) - 2023
- [j34]Ales Procházka
Absorption Spectroscopy in Dental Tissue Analysis. IEEE Access 11: 17569-17575 (2023) - [j33]Ales Procházka
Motion Analysis Using Global Navigation Satellite System and Physiological Data. IEEE Access 11: 42096-42103 (2023) - [j32]Hana Charvátová
Computational Analysis of Indoor Thermal Comfort in a Terraced Family House With Thermal Insulation. IEEE Access 11: 80822-80834 (2023) - [j31]Massimo Martinelli
Editorial: Artificial intelligence in point of care diagnostics. Frontiers Digit. Health 5 (2023) - [d6]Hana Charvátová
Data Related to Computational Analysis and Classification of Ventral Hernia Treatments Based on Repair Technologies. IEEE DataPort, 2023 - [d5]Hana Charvátová
Temperature Data for Analysis of Indoor Thermal Comfort in a Terraced Family House with Thermal Insulation. IEEE DataPort, 2023 - [d4]Ales Procházka
GNSS and Physiological Data for Running Monitoring. IEEE DataPort, 2023 - 2022
- [j30]Hana Charvátová
Blood Oxygen Concentration and Physiological Data Changes During Motion While Wearing Face Masks. IEEE Access 10: 91763-91770 (2022) - [j29]Ales Procházka
Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery. IEEE Access 10: 122447-122453 (2022) - [j28]Ales Procházka
Incremental deep learning for reflectivity data recognition in stomatology. Neural Comput. Appl. 34(9): 7081-7089 (2022) - [d3]Hana Charvátová
Study of physiological changes during physical load with a face mask and respirator. IEEE DataPort, 2022 - [d2]Ales Procházka, Tatjana Dostálová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík, Hana Eliásová:
Craniometric Points Measurement. IEEE DataPort, 2022 - [d1]Ales Procházka
Dental Tissue Absorption Spectroscopy. IEEE DataPort, 2022 - 2021
- [j27]Hana Charvátová
Evaluation of Accelerometric and Cycling Cadence Data for Motion Monitoring. IEEE Access 9: 129256-129263 (2021) - [j26]Carmen Paz Suárez Araujo
A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture. Comput. Math. Methods Medicine 2021: 5545297:1-5545297:9 (2021) - [j25]Ondrej Dostal, Ales Procházka
Recognition of motion patterns using accelerometers for ataxic gait assessment. Neural Comput. Appl. 33(7): 2207-2215 (2021) - [j24]Ales Procházka
Discrimination of cycling patterns using accelerometric data and deep learning techniques. Neural Comput. Appl. 33(13): 7603-7613 (2021) - [j23]Oldrich Vysata, Ondrej Tupa
Classification of Ataxic Gait. Sensors 21(16): 5576 (2021) - [j22]Ales Procházka
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools. IEEE Signal Process. Mag. 38(3): 154-162 (2021) - [c25]Ales Procházka, Hana Charvátová
Infrared Thermography and Computational Intelligence in Analysis of Facial Video-Records. ICCCI (CCIS Volume) 2021: 635-643 - [i3]Delaram Jarchi, Javier Andreu-Perez, Mehrin Kiani, Oldrich Vysata, Jirí Kuchynka, Ales Procházka, Saeid Sanei:
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. CoRR abs/2111.05917 (2021) - 2020
- [j21]Martin Schätz
Sleep Apnea Detection with Polysomnography and Depth Sensors. Sensors 20(5): 1360 (2020) - [j20]Hana Charvátová
Motion Assessment for Accelerometric and Heart Rate Cycling Data Analysis. Sensors 20(5): 1523 (2020) - [j19]Delaram Jarchi
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors 20(9): 2594 (2020) - [j18]Jindrich Charvát
Diffuse reflectance spectroscopy in dental caries detection and classification. Signal Image Video Process. 14(5): 1063-1070 (2020) - [c24]Delaram Jarchi, Ales Procházka, Saeid Sanei:
A New Spectrum Driven Index for the Assessment of ECG Signal Quality. EMBC 2020: 324-327 - [c23]Saeid Sanei, Clive Cheong Took, Delaram Jarchi, Ales Procházka:
Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State. ICASSP 2020: 1195-1199 - [c22]Ales Procházka
Machine Learning in Classification of the Wax Structure of Breathing Openings on Leaves Affected by Air Pollution. SOCO 2020: 199-206 - [i2]Andrii Trelin, Ales Procházka:
Binary Stochastic Filtering: feature selection and beyond. CoRR abs/2007.03920 (2020)
2010 – 2019
- 2019
- [j17]Petra Besedová
Classification of brain activities during language and music perception. Signal Image Video Process. 13(8): 1559-1567 (2019) - [j16]Ales Procházka
Motion Symmetry Evaluation Using Accelerometers and Energy Distribution. Symmetry 11(7): 871 (2019) - [c21]Delaram Jarchi
Detection of Sleep Apnea/hypopnea Events Using Synchrosqueezed Wavelet Transform. ICASSP 2019: 1199-1203 - [i1]Andrii Trelin, Ales Procházka:
Binary Stochastic Filtering: a Solution for Supervised Feature Selection and Neural Network Shape Optimization. CoRR abs/1902.04510 (2019) - 2018
- [j15]Ondrej Dostal
Permutation Entropy and Signal Energy Increase the Accuracy of Neuropathic Change Detection in Needle EMG. Comput. Intell. Neurosci. 2018: 5276161:1-5276161:5 (2018) - [j14]Ales Procházka
Sleep scoring using polysomnography data features. Signal Image Video Process. 12(6): 1043-1051 (2018) - 2017
- [j13]Ales Procházka
Breathing Analysis Using Thermal and Depth Imaging Camera Video Records. Sensors 17(6): 1408 (2017) - [j12]Jing Dong
Sparse analysis model based multiplicative noise removal with enhanced regularization. Signal Process. 137: 160-176 (2017) - [j11]Hana Charvátová
GPS-based analysis of physical activities using positioning and heart rate cycling data. Signal Image Video Process. 11(2): 251-258 (2017) - [j10]Ales Procházka, Magdaléna Kasparová, Mohammadreza Yadollahi, Oldrich Vysata
Erratum to: Multi-camera systems use for dental arch shape measurement. Vis. Comput. 33(5): 689 (2017) - [c20]Ales Procházka, Hana Charvátová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík:
Multimodal breathing analysis in the evaluation of physical load. DSP 2017: 1-4 - [c19]Ales Procházka, Jirí Kuchynka, Mohammadreza Yadollahi, Carmen Paz Suárez Araujo, Oldrich Vysata:
Adaptive segmentation of multimodal polysomnography data for sleep stages detection. DSP 2017: 1-4 - 2016
- [j9]Ales Procházka
Microsoft Kinect Visual and Depth Sensors for Breathing and Heart Rate Analysis. Sensors 16(7): 996 (2016) - [j8]Ales Procházka, Martin Schätz
Extraction of breathing features using MS Kinect for sleep stage detection. Signal Image Video Process. 10(7): 1279-1286 (2016) - [j7]Bahareh Langari
Edge-Guided Image Gap Interpolation Using Multi-Scale Transformation. IEEE Trans. Image Process. 25(9): 4394-4405 (2016) - [c18]Ales Procházka, Oldrich Vysata
Video processing and 3D modelling of chest movement using MS Kinect depth sensor. IWCIM 2016: 1-5 - [c17]Martin Schätz
Face movement analysis with MS Kinect. IWCIM 2016: 1-5 - [c16]Ondrej Tupa, Oldrich Vysata
Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring. IWCIM 2016: 1-5 - 2015
- [j6]Ales Procházka
Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect. Digit. Signal Process. 47: 169-177 (2015) - [j5]Ales Procházka, Oldrich Vysata
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders. Neural Comput. Appl. 26(7): 1621-1629 (2015) - [j4]Mohammadreza Yadollahi, Ales Procházka, Magdaléna Kasparová, Oldrich Vysata
The use of combined illumination in segmentation of orthodontic bodies. Signal Image Video Process. 9(1): 243-250 (2015) - [j3]Ales Procházka, Magdaléna Kasparová, Mohammadreza Yadollahi, Oldrich Vysata
Multi-camera systems use for dental arch shape measurement. Vis. Comput. 31(11): 1501-1509 (2015) - [c15]Fabio Centonze, Martin Schätz
Feature extraction using MS Kinect and data fusion in analysis of sleep disorders. IWCIM 2015: 1-5 - [c14]Hana Charvátová, Ales Procházka, Saeed Vaseghi, Oldrich Vysata
Physiological and GPS data fusion. IWCIM 2015: 1-4 - [c13]Oana Geman, Saeid Sanei, Hariton-Nicolae Costin
Challenges and trends in Ambient Assisted Living and intelligent tools for disabled and elderly people. IWCIM 2015: 1-5 - [c12]Martin Schätz
Statistical recognition of breathing by MS Kinect depth sensor. IWCIM 2015: 1-4 - [c11]Mohammadreza Yadollahi, Ales Procházka, Magdaléna Kasparová, Oldrich Vysata
Separation of overlapping dental objects using normal vectors to image region boundaries. IWCIM 2015: 1-4 - 2014
- [j2]Ales Procházka, Saeed Vaseghi, Mohammadreza Yadollahi, Ondrej Tupa
Remote physiological and GPS data processing in evaluation of physical activities. Medical Biol. Eng. Comput. 52(4): 301-308 (2014) - [j1]Ales Procházka, Oldrich Vysata
Discrimination of axonal neuropathy using sensitivity and specificity statistical measures. Neural Comput. Appl. 25(6): 1349-1358 (2014) - [c10]Ales Procházka, Martin Schätz
The MS kinect image and depth sensors use for gait features detection. ICIP 2014: 2271-2274 - 2012
- [p3]Patricio García Báez, Carmen Paz Suárez Araujo, Carlos Fernández Viadero, Ales Procházka:
Differential Diagnosis of Dementia Using HUMANN-S Based Ensembles. Recent Advances in Intelligent Engineering Systems 2012: 305-324 - [p2]Martina Mudrová, Petra Slavíková, Ales Procházka:
Texture Classification in Bioindicator Images Processing. Recent Advances in Intelligent Engineering Systems 2012: 325-339 - [p1]Ales Procházka, Martina Mudrová, Oldrich Vysata, Lucie Gráfová, Carmen Paz Suárez Araujo:
Computational Intelligence in Multi-channel EEG Signal Analysis. Recent Advances in Intelligent Engineering Systems 2012: 361-381 - 2011
- [c9]Petr Tichavský, Honza Cernocký, Ales Procházka:
General chair's message. ICASSP 2011 - [c8]Ales Procházka, Oldrich Vysata, Magdaléna Kasparová, Tatjana Dostálová:
Wavelet transform in biomedical image segmentation and classification. ISPA 2011: 519-522
2000 – 2009
- 2009
- [c7]Eva Hostalkova, Ales Procházka, Martina Mudrová, Alena Michalcova:
Microscopic texture components classification for image segmentation. EUSIPCO 2009: 1533-1536 - [c6]Oldrich Vysata
Fluctuation of complex wavelet coefficients amplitude correlation in EEG. DPS 2009: 1-5 - 2007
- [c5]Eva Hostalkova, Oldrich Vysata
Multi-Dimensional Biomedical Image De-Noising using Haar Transform. DSP 2007: 175-178 - 2003
- [c4]Ales Procházka, Irena Sindelárová, Jirí Ptácek:
Image de-noising and restoration using wavelet transform. ECC 2003: 382-386 - 2000
- [c3]Ales Procházka, Magdaléna Kolinová, Jaroslav Fiala, Pavel Hampl, Karel Hlavaty:
Satellite image processing and air pollution detection. ICASSP 2000: 2282-2285
1990 – 1999
- 1998
- [c2]Ales Procházka, Magdaléna Kolinová, Jaroslav Stríbrský:
Signal segmentation using time-scale signal analysis. EUSIPCO 1998: 1-4 - 1996
- [c1]Ales Procházka, Jonathan Smith:
Multichannel time-series modelling and prediction by wavelet networks. EUSIPCO 1996: 1-4
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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