Cristian D. Rios-Urrego
Orcid: 0000-0003-0174-1452
According to our database1,
Cristian D. Rios-Urrego
authored at least 16 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach.
npj Digit. Medicine, 2024
2023
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages.
CoRR, 2023
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies.
Proceedings of the Applied Computer Sciences in Engineering, 2022
End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network.
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022
2021
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages.
Pattern Recognit. Lett., 2021
Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification?
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021
Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing.
Proceedings of the Text, Speech, and Dialogue, 2020
2019
Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.
Comput. Methods Programs Biomed., 2019
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019