Julián D. Arias-Londoño
Orcid: 0000-0002-1928-773XAffiliations:
- University of Antioquia
According to our database1,
Julián D. Arias-Londoño
authored at least 45 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
2023
Baseline Wander Removal Applied to Smooth Pursuit Eye Movements From Parkinsonian Patients.
IEEE Access, 2023
2022
An Instance Selection Algorithm for Big Data in High imbalanced datasets based on LSH.
CoRR, 2022
2021
Advances in Parkinson's Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects.
Biomed. Signal Process. Control., 2021
On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies.
Biomed. Signal Process. Control., 2021
2020
Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale.
IEEE J. Sel. Top. Signal Process., 2020
Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach.
IEEE Access, 2020
2018
Protein Disorder Prediction using Jumping Motifs from Torsion Angles Dynamics in Ramachandran Plots.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Protein Disorder Prediction using Information Theory Measures on the Distribution of the Dihedral Torsion Angles from Ramachandran Plots.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016
Towards an automatic monitoring of the neurological state of Parkinson's patients from speech.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases.
IEEE J. Biomed. Health Informatics, 2015
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words.
Expert Syst. J. Knowl. Eng., 2015
Entropy, 2015
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Low-frequency components analysis in running speech for the automatic detection of parkinson's disease.
Proceedings of the INTERSPEECH 2015, 2015
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.
Proceedings of the INTERSPEECH 2015, 2015
Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease.
Proceedings of the INTERSPEECH 2015, 2015
Emotion recognition from speech under environmental noise conditions using wavelet decomposition.
Proceedings of the International Carnahan Conference on Security Technology, 2015
2014
Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease.
Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014
New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
Automatic detection of parkinson's disease from words uttered in three different languages.
Proceedings of the INTERSPEECH 2014, 2014
Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals.
Proceedings of the International Carnahan Conference on Security Technology, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Cogn. Comput., 2013
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013
Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
2012
Towards collaborative work among speech therapists, phoniatricians, and ENT professionals: Analysis of the impact of ciphering techniques in the performance of an integrated tool for the diagnosis of voice disorders.
Biomed. Signal Process. Control., 2012
Automatic detection of hypernasal speech signals using nonlinear and entropy measurements.
Proceedings of the INTERSPEECH 2012, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients.
IEEE Trans. Biomed. Eng., 2011
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Automatic GRBAS assessment using complexity measures and a multiclass GMM-based detector.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
Proceedings of the New Challenges on Bioinspired Applications, 2011
Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection.
Proceedings of the INTERSPEECH 2011, 2011
2010
An improved method for voice pathology detection by means of a HMM-based feature space transformation.
Pattern Recognit., 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Intell. Autom. Soft Comput., 2009
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009
2008
IEEE Trans. Biomed. Eng., 2008