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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

IEEE journal of biomedical and health informatics, 2019-07, Vol.23 (4), p.1618-1630

2019

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Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Journal of communication disorders, 2018-11, Vol.76, p.21-36

2018

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Automatic detection of Parkinson's disease in running speech spoken in three different languages

The Journal of the Acoustical Society of America, 2016-01, Vol.139 (1), p.481-500

2016

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Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Computer methods and programs in biomedicine, 2019-05, Vol.173, p.43-52

2019

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Multi-channel spectrograms for speech processing applications using deep learning methods

Pattern analysis and applications : PAA, 2021-05, Vol.24 (2), p.423-431

2021

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Effective detection of abnormal gait patterns in Parkinson's disease patients using kinematics, nonlinear, and stability gait features

Human movement science, 2022-02, Vol.81, p.102891-102891, Article 102891

2022

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Cooperation With Universities in the Development of Eco-Innovations and Firms' Performance

Frontiers in psychology, 2020-11, Vol.11, p.612465-612465

2020

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The reduction of the expression of B-catenin and c-Myc is related to a better outcome in patients with AML

Annals of oncology, 2018-09, Vol.29, p.vi26-vi26

2018

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Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate

Speech communication, 2020-09, Vol.122, p.56-67

2020

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Mapping Attitudes on Illegal Wildlife Trade: Implications for Management and Governance

Conservation and society, 2023-07, Vol.21 (3), p.165-176

2023

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Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

Nonlinear dynamics, 2020-06, Vol.100 (4), p.3253-3276

2020

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Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words

Expert systems, 2015-12, Vol.32 (6), p.688-697

2015

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Multiplex networks reveal geographic constraints on illicit wildlife trafficking

Applied network science, 2020-03, Vol.5 (1), p.1-20, Article 20

2020

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Detection of different voice diseases based on the nonlinear characterization of speech signals

Expert systems with applications, 2017-10, Vol.82, p.184-195

2017

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Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech

Cognitive computation, 2017-12, Vol.9 (6), p.731-748

2017

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Network Embedding for Understanding the National Park System through the Lenses of News Media, Scientific Communication, and Biogeography

Annals of the American Association of Geographers, 2024-09, Vol.114 (8), p.1795-1804

2024

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Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions

Speech communication, 2018-07, Vol.101, p.11-25

2018

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Experimental characterization of a tuneable all-fiber mode converter device for mode-division multiplexing systems

Journal of physics. Conference series, 2020-05, Vol.1547 (1), p.12004

2020

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Correct procedure for uploading information on new taxonomic names to ZooBank

Journal of fish biology, 2017-04, Vol.90 (4), p.1167-1169

2017

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Research alignment in the U.S. national park system: Impact of transformative science policy on the supply and demand for scientific knowledge for protected area management

Journal of environmental management, 2024-04, Vol.357, p.120699-120699, Article 120699

2024

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ASO Author Reflections: The Evolving and Expanding Role of Merkel Cell Polyomavirus Antibody Titers

Annals of surgical oncology, 2022-03, Vol.29 (3), p.1627-1628

2022

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Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6544-6548

2020

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Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.7298-7302

2021

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Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.6490-6494

2016

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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Automatic detection of Parkinson's disease in running speech spoken in three different languages

Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Multi-channel spectrograms for speech processing applications using deep learning methods

Effective detection of abnormal gait patterns in Parkinson's disease patients using kinematics, nonlinear, and stability gait features

Cooperation With Universities in the Development of Eco-Innovations and Firms' Performance

The reduction of the expression of B-catenin and c-Myc is related to a better outcome in patients with AML

Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate

Mapping Attitudes on Illegal Wildlife Trade: Implications for Management and Governance

Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words

Multiplex networks reveal geographic constraints on illicit wildlife trafficking

Detection of different voice diseases based on the nonlinear characterization of speech signals

Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech

Network Embedding for Understanding the National Park System through the Lenses of News Media, Scientific Communication, and Biogeography

Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions

Experimental characterization of a tuneable all-fiber mode converter device for mode-division multiplexing systems

Correct procedure for uploading information on new taxonomic names to ZooBank

Research alignment in the U.S. national park system: Impact of transformative science policy on the supply and demand for scientific knowledge for protected area management

ASO Author Reflections: The Evolving and Expanding Role of Merkel Cell Polyomavirus Antibody Titers

Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients

Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets

End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data

Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

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