Publications
You can also find my publications on my Google Scholar profile.
2026
Signal Processing / Machine Learning / AI
J.C. Puerta-Acevedo, M.F. Alcalá-Durand, J. Mendes-Laureano, J.D. Arias-Londoño, J.I. Godino-Llorente. HUPA: a corpus of disordered and normophonic voices in Castilian Spanish. Data in Brief, vol. 66, 112676, 2026. [GitHub]
H. Xu, J.D. Arias-Londoño, J.I. Godino-Llorente. Calibrated Bayesian Deep Learning for Explainable Decision Support Systems Based on Medical Imaging. arXiv:2602.11973, 2026. [GitHub]
S. Castaño-López, T.J. Lopera, V. Restrepo, L.F. Carbal, J.M. Ramírez-Mejía, A. Hernández, D. Gil, J.-C. Díaz, M. Manrique-Moreno, L. Barazzuol, R. Posada-Duque, M. Rojas, G. Vásquez, L. Corrales-Garcia, J.D. Arias-Londoño, J.C. Wolters, D. Castaño. Aggrecan and polymeric immunoglobulin receptor in extracellular vesicles of patients with seropositive rheumatoid arthritis. Journal of Translational Autoimmunity, vol. 13, 100387, 2026.
G.P. Cardona-Gómez, I.D. Salomón-Cruz, N.D. Galvis-Garrido, L.A. Lozano-Trujillo, J.P. Barbosa-Carvajal, S.C. Agudelo-Castrillon, J. Montesinos, T.D. Yun, E. Henao, Y. Quiroz, K. Kosik, E. Schon, D. Larrea, F. Lopera, A. Villegas, D.C. Aguirre-Acevedo, J.D. Arias-Londoño, D. Aguillón, E. Area-Gómez. Circulating lipids uncover early membrane disruption as a primary event preceding Alzheimer’s disease onset. Research Square, pp.rs-3.rs-9357482, 2026.
2025
Signal Processing / Machine Learning / AI
J.I. Godino-Llorente, J.D. Arias-Londoño, M. Hasegawa-Johnson, H. Meng, S. Shattuck-Hufnagel. Guest Editorial: Modeling and Processing Language and Speech in Neurodegenerative Disorders. IEEE Journal of Selected Topics in Signal Processing, 19(5), 696-699, 2025.
A. Moure-Prado, A. Guerrero-López, J.D. Arias-Londoño, J.I. Godino-Llorente. Bayesian automatic screening of pneumonia and lung lesions localization from CT scans. A combined method toward a more user-centred and explainable approach. IEEE Access, vol. 13, pp 178160 - 178175, 2025.[GitHub]
M.F. Alcala-Durand, J.C. Puerta-Acevedo, J.D. Arias-Londoño, J.I. Godino-Llorente. Automatic Screening of Parkinson’s Disease from Visual Explorations. arXiv:2509.01326, 2025.
Y. Sun, A. Guerrero-López, J.D. Arias-Londoño, J.I. Godino-Llorente. CT-SCOPE: annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs. Data in Brief, vol. 62, 111962, 2025. [GitHub]
Y. Sun, A. Guerrero-López, J.D. Arias-Londoño, J.I. Godino-Llorente. Automatic semantic segmentation of the osseous structures of the paranasal sinuses. Computerized Medical Imaging and Graphics, vol. 123, 102541, 2025. [GitHub]
E. J. Ibarra, J.D. Arias-Londoño, J. Godino-Llorente, D.D. Mehta, M. Zañartu. Subject-Specific Modeling by Domain Adaptation for the Estimation of Subglottal Pressure from Neck-Surface Acceleration Signals. Biomedical Signal Processing and Control, vol. 106, 107681, 2025.
G. Andrade-Miranda, K. Chatzipapas, J.D. Arias-Londoño, J.I. Godino-Llorente. GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation. Data in Brief, vol. 59, 111376, 2025. [GitHub]
- G.P. Cardona-Gómez, I.D. Salomón-Cruz, L.A. Lozano-Trujillo, N.D. Galvis-Garrido, S.C. Agudelo-Castrillon, J.P. Barbosa-Carvajal, M. Hoyos Ríos, L.M. Trujillo-Chacón, E. Henao, G. Javier Fernandez, E. Osorio, Y.T. Quiroz, E. Schon, F. Lopera, A. Villegas, D.C. Aguirre-Acevedo, J.D. Arias-Londoño, D. Aguillón, E. Area-Gómez. Serum Lipidome as an Early Peripheral Indicator in Familial Alzheimer’s Disease. bioRxiv, doi: https://doi.org/10.1101/2025.11.25.690392, 2025.
2024
Signal Processing / Machine Learning / AI
G. Uribe-Guerra, D. Múnera-Ramírez, J.D. Arias-Londoño. Swine Diet Design using Multi-objective Regionalized Bayesian Optimization. arXiv:2409.12919, 2024. [GitHub]
Y. Sun, A. Guerrero-López, J.D. Arias-Londoño, J.I. Godino-Llorente. Automatic semantic segmentation of the osseous structures of the paranasal sinuses. bioRxiv, DOI 10.1101/2024.06.21.599833, June 25, 2024. [GitHub]
G. Uribe-Guerra, D. Múnera-Ramírez, J.D. Arias-Londoño. Feed formulation using multi-objective Bayesian optimization. Computers and Electronics in Agriculture, vol. 224, 109173, 2024. [GitHub]
E. Hernández-García, A. Guerrero-López, J. Arias-Londoño, J. Godino-Llorente. A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative states. Scientific Data, vol. 11, 746, 2024. [GitHub]
E. Luque-Buzo, M. Bejani, J.D. Arias-Londoño, J.A. Gómez-García, F. Grandas-Pérez, J.I. Godino-Llorente. Estimation of the cyclopean eye from binocular Smooth Pursuit Tests. IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 6, pp 2125-2137, 2024. [GitHub]
J.D. Arias-Londoño, J.I. Godino-Llorente. Analysis of the Clever Hans Effect in COVID-19 Detection Using Chest X-Ray Images and Bayesian Deep Learning. Biomedical Signal Processing and Control, vol. 90, 105831, 2024. [GitHub]
E.J. Ibarra, J.D. Arias-Londoño, J. Godino-Llorente, D.D. Mehta, M. Zañartu. Subject-specific modelling of the Subglottal Pressure Estimation From Neck-Surface Vibration Signals by Domain Adaptation. TechRxiv.171173471.15232421/v1, March 29, 2024.
A. Guerrero-López, J.D. Arias-Londoño, S. Shattuck-Hufnagel, J. Godino-Llorente. MARTA: a model for the automatic phonemic grouping of the parkinsonian speech. TechRxiv.171084943.31044695/v1, March 19, 2024. [GitHub]
J. Mendes-Laureano, J.A. Gómez-García, A. Guerrero-López, E. Luque-Buzo, J.D. Arias-Londoño, Francisco J Grandas-Pérez, Juan I Godino-Llorente. NeuroVoz: a Castillian Spanish corpus of parkinsonian speech. Scientific Data, 11:1367, 2024. [GitHub]
2023
Signal Processing / Machine Learning / AI
E.J. Ibarra, J.D. Arias-Londoño, M. Zañartu, J.I. Godino-Llorente. Towards a Corpus (and Language)-Independent Screening of Parkinson’s Disease from Voice and Speech through Domain Adaptation. Bioengineering vol. 10, no. 11, 1316, 2023. [GitHub]
J.D. Arias-Londoño, J.I. Godino-Llorente. Analysis of the Clever Hans Effect in COVID-19 Detection Using Chest X-Ray Images and Bayesian Deep Learning. Preprint available at SSNR, 2023. [GitHub]
J.D. Arias-Londoño, A. Moure-Prado, J.I. Godino-Llorente. Automatic identification of lung opacities due to COVID-19 from chest X-Ray images. Focussing the attention on the lungs. Diagnostics, vol. 13, 1381, 2023.
M. Bejani, E. Luque-Buzo, A. Burlaka-Petrash, J.A. Gómez-García, J.D. Arias- Londoño, F. Grandas-Pérez, J. Grajal, J.I. Godino-Llorente. Baseline wander removal applied to smooth pursuit eye movements from parkinsonian patients. IEEE Access, vol. 11, 2023. [GitHub]
C. Bustamante, G. Castrillón, J.D. Arias-Londoño. Classification of Focused Perturbations Using Time-Variant Functional Connectivity with rs-fmri. In: Orjuela-Cañón, A.D., Lopez, J., Arias-Londoño, J.D., Figueroa-García, J.C. (eds) Applications of Computational Intelligence. Communications in Computer and Information Science, vol 1746. Springer, Cham., 2023.
- F.A. Bedoya-Guzmán, M. Pacheco-Herrero, I.D. Salomon-Cruz, A.M. Barrera-Sandoval, J.A. Gutierrez Vargas, J.G. Villamil-Ortiz, C.A. Villegas Lanau, J.D. Arias- Londoño, E. Area.Gomez, G.P. Cardona-Gomez. BACE1 and SCD1 are associated with neurodegeneration. Front. Aging Neurosci. 15:1194203, 2023.
2022
Signal Processing / Machine Learning / AI
J. A. Arango-Sánchez, J.D. Arias-Londoño. An enhanced Conv-TasNet model for speech separation using a speaker distance-based loss function. arXiv preprint arXiv:2205.13657. 2022.
G.E. Melo-Acosta, F. Duitama-Muñoz, J.D. Arias-Londoño. An Instance Selection Algorithm for Big Data in High imbalanced datasets based on LSH. arXiv preprint arXiv:2210.04310. 2022.
2021
Signal Processing / Machine Learning / AI
L. Moro-Velázquez, J.A. Gómez-García, J.D. Arias-Londoño, N. Dehak, J.I. Godino-Llorente. Advances in Parkinson’s Disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects. Biomedical Signal Processing and Control, vol 66. 102418, 2021.
J.A. Gómez-García, L. Moro-Velázquez, J.D. Arias-Londoño, J.I. Godino-Llorente. On the design of automatic voice condition analysis systems. Part III: review of acoustic modelling strategies. Biomedical Signal Processing and Control, vol 66. 102049, 2021.
A. Santana-Velásquez, J.F. Duitama, J.D Arias-Londoño. Automatic Classification of Diagnosis-Related Groups Using ANN and XGBoost Models. In: Orjuela-Cañón A.D., Lopez J., Arias-Londoño J.D., Figueroa-García J.C. (eds) Applications of Computational Intelligence. Communications in Computer and Information Science, vol 1346. Springer, Cham., 2020.
2020
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.A. Gómez-García, L. Moro-Velázquez, J.I. Godino-Llorente. Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach. IEEE Access, vol. 8, 2020. [GitHub]
J.D. Arias-Londoño, J.A. Gómez-García, J.I. Godino-Llorente. Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale. IEEE Journal of Selected Topics in Signal Processing, vol 20, no. 2, pp 413 - 422, 2020.
A. Santana-Velásquez, J. Freddy-Duitama and J.D. Arias-Londoño. Automatic classification of Diagnosis-Related Groups using ANN and XGBoost models. 3rd IEEE Colombian Conference on Applications in Computational Intelligence - COLCACI 2020.
J. Villar-Vesga, J. Henao-Restrepo, D. C Voshart, D. Aguillón, A. Villegas, D. Castaño, J.D. Arias-Londoño, I.S. Zuhorn, L. Ribosvki, L. Barazzuol, G. P. Cardona-Gómez, R. A. Posada-Duque. Differential profile of systemic extracellular vesicles from sporadic and familiar Alzheimer’s disease leads to neuroglial and endothelial cell degeneration. Frontiers in Aging Neuroscience. 12:587989. 2020.
A. M. Sabogal-Guáqueta, J.D. Arias-Londoño, J.A. Gutierrez-Vargas, D. Sepulveda-Falla, M. Glatzel, C.A. Villegas-Lanau, G.P. Cardona-Gómez. Common disbalance in the brain parenchyma of dementias: Phospholipid profile analysis between CADASIL and sporadic Alzheimer’s disease. BBA - Molecular Basis of Disease, vol. 1866, no. 1, 165797, 2020.
2019
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.A. Gómez-García. Predicting UPDRS Scores in Parkinson’s Disease Using Voice Signals: A Deep Learning/Transfer-Learning-Based Approach. In: Godino-Llorente J.I. (eds) Automatic Assessment of Parkinsonian Speech. AAPS 2019. Communications in Computer and Information Science, vol 1295. Springer, Cham.
J. Jaramillo, J.D. Arias-Londoño. Fail Detection in WfM/BPM Systems from Event Log Sequences Using HMM-Type Models. In: Orjuela-Cañón A., Figueroa-García J., Arias-Londoño J. (eds) Applications of Computational Intelligence. Communications in Computer and Information Science, vol 1096, pp 223-234. Springer, Cham, 2019.
A. Tamayo, J.D. Arias-Londoño, D. Burgos, G. Quiroz. Sentiment Analysis of News Articles in Spanish using Predicate Features. Lenguaje, vol. 47, no. 2, pp 235-267, 2019.
J. Jaramillo, J.D. Arias-Londoño. Automatic classification of event logs sequences for failure detection in WfM/BPM systems. 2nd IEEE Colombian Conference on Applications in Computational Intelligence - COLCACI 2019.
L.V. Cobaleda, J.F. Duitama, G. Melo-Acosta, J.D. Arias-Londoño. Modular and Evolutionary architecture for high availability transactional systems with intelligent components. The 2019 World Congress in Computer Science, Computer Engineering, & Applied computing.
2018
Signal Processing / Machine Learning / AI
M.A. Giraldo Londoño, J.F. Duitama, J.D. Arias-Londoño. Cost-Balance Setting of MapReduce and Spark-Based Architectures for SVM. In: Orjuela-Cañón A., Figueroa-García J., Arias-Londoño J. (eds) Applications of Computational Intelligence. Communications in Computer and Information Science, vol 833, pp 137-149. Springer, Cham, 2018.
J.D. Arias-Londoño, J.A. Gómez-García, L. Moro-Velázquez, J.I. Godino-Llorente. ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge. Proceedings of the IEEE International Conference on Big Data, 2018.
M. Giraldo, J.F. Duitama, J.D. Arias-Londoño. MapReduce and Spark-based architecture for bi-class classification using SVM. Colombian Conference on Applications in Computational Intelligence - COLCACI 2018.
J. Uirbe, J.D. Arias-Londoño, and A. Perera-Lluna. Protein Disorder Prediction Using Jumping Motifs from Torsion Angles Dynamics in Ramachandran Plots. BIOSTEC- BIOINFORMATICS 2018. Best paper student award.
A. M. Sabogal-Guaqueta, J. G. Villamil, J.D. Arias-Londoño and G.P. Cardona-Gómez. Inverse Phosphatidylcholine/Phosphatidylinositol Levels as Peripheral Biomarkers and Phosphatidylcholine/Lysophosphatidylethanolamine-Phosphatidylserine as a Central Indicator of Postischemic Cognitive Impairment in Rats. Frontiers in Neuroscience, section Neurodegeneration, vol. 12, Paper 989, 2018.
A. M. Sabogal-Guáqueta, R. Posada-Duque, Natalie Charlotte Cortes, J.D. Arias-Londoño, G.P. Cardona-Gómez. Changes in the hippocampal and peripheral phospholipid profiles are associated with neurodegeneration hallmarks in a long-term global cerebral ischemia model: Attenuation by Linalool. Neuropharmacology, vol. 135, pp 555-571, 2018.
J.G. Villamil-Ortiz, A. Barrera-Ocampo, J.D. Arias-Londoño, A. Villegas, F. Lopera, G.P. Cardona-Gómez. Differential Pattern of Phospholipid Profile in the Temporal Cortex from E280A-Familiar and Sporadic Alzheimer’s Disease Brains. Journal of Alzheimer’s Disease, vol. 61, no. 1, pp 209-219, 2018.
2017
Signal Processing / Machine Learning / AI
G. Melo-Acosta, F. Duitama-Muñoz, and J.D. Arias-Londoño. Fraud Detection in Big Data using Supervised and Semi-Supervised Learning Techniques. COLCOM 2017.
J. Uirbe, J.D. Arias-Londoño, and A. Perera-Lluna. Protein disorder prediction using information theory measures on the distribution of the dihedral torsion angles from Ramachandran plots. BIOSTEC- BIOINFORMATICS 2017. Best paper award.
J.E. Salazar-Jiménez, J.D. Sánchez-Carvajal, B. Quiros-Gómez, and J.D. Arias-Londoño. Automatic feature selection in the SOPFs dissolution profile prediction problem. BIOSTEC-BIOINFORMATICS 2017.
2016
Signal Processing / Machine Learning / AI
G. Zapata-Zapata, J.D. Arias-Londoño, J.F. Vargas-Bonilla, J.R. Orozco-Arroyave. On-line signature verification using Gaussian Mixture Models and small-sample learning strategies. Redin, no. 79, pp 84-97, 2016.
J.R. Orozco-Arroyave, F. Hönig, J.D. Arias-Londoño, J. F. Vargas-Bonilla, K. Daqrouq, S. Skodda, J. Rusz and E. Nöth. Automatic detection of Parkinson’s disease in running speech spoken in three different languages. The Journal of the Acoustical Society of America. vol. 139, no. 1, pp 481-500, 2016.
J.D. Arias-Londoño, J.E. Salazar-Jiménez, and B. Quiros-Gómez. DISOLPHARM - An Intelligent Computational Tool for Management and Prediction of Drug Dissolution Test/Profiles. IDIFARMA 2016.
J.R. Orozco-Arroyave, J.C. Vásquez-Correa, F. Höning, J.D. Arias-Londoño, J.F. Vargas-Bonilla, S. Skodda, J. Rusz, E. Noth. Towards an automatic monitoring of the neurological state of Parkinson’s patients from speech. ICASSP, 2016.
- J.G. Villamil-Ortiz, A. Barrera-Ocampo, D. Piedrahita, C.M. Velásquez-Rodríguez, J.D. Arias-Londoño and G.P. Cardona-Gómez. BACE1 RNAi Restores the Composition of Phosphatidylethanolamine-Derivates Related to Memory Improvement in Aged 3xTg-AD Mice. Front. Cell. Neurosci. 10:260. 2016.
2015
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.I. Godino-Llorente. Entropies from Markov models as complexity measures of embedded attractors. Entropy, vol. 17, no. 6, pp 3595-3620, 2015.[GitHub]
J.R. Orozco-Arroyave, F. Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla and E. Nöth. Spectral and cepstral analyzes for Parkinson’s disease detection in Spanish vowels and words. Expert Systems, vol. 32, no. 6, pp 688-697, 2015.
J.R.Orozco-Arroyave, E.A.Belalcazar-Bolaños, J.D. Arias-Londoño, J.F.Vargas-Bonilla, S.Skodda, J.Rusz, K.Daqrouq, F.Hönig, and E. Nöth. Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases. IEEE Transactions on Biomedical and Health Informatics, vol. 9, no. 6, pp 1820-1828, 2015.
J.C. Vásquez-Correa, T. Arias-Vergara, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, and E. Nöth. Automatic detection of Parkinson’s disease from continuous speech recorded in non-controlled noise conditions. 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015.
T. Villa-Cañas, J.D. Arias-Londoño, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, and E. Nöth. Low-frequency components analysis in running speech for the automatic detection of Parkinson’s disease. 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015. Finalist of the best paper student award.
J.R. Orozco-Arroyave, F. Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla, S. Skodda, J. Rusz, and E. Nöth. Voiced/unvoiced transitions in speech as a potential bio-marker to detect Parkinson’s disease. 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015.
2014
Signal Processing / Machine Learning / AI
J.C. Vasquez-Correa, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, E. Nöth. New computer aided device for real time analysis of speech of people with Parkinson’s disease . Redin, vol. 1, no. 72, pp 87-103, 2014.
J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, M.C. González-Rátiva, Elmar Nöth. New Spanish speech corpus database for the analysis Parkinson’s disease . Ninth International Conference on Language Resources and Evaluation, 2014.
D.H. Peluffo-Ordóñez, S. Murillo-Rendón, J.D. Arias-Londoño, G. Castellanos-Domínguez. A multi-class extension for multi-labeler support vector machines. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014.
J.R. Orozco-Arroyave , E.A. Belalcázar-Bolaños, J.D. Arias-Londoño, F. Vargas-Bonilla, T. Haderlein, E. Nöth. Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson’s Disease . In: Sojka P., Horák A., Kopeček I., Pala K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science, vol 8655. Springer, Cham
2013
Signal Processing / Machine Learning / AI
J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, S. Murillo-Rendón, G.Castellanos-Domínguez, J.F. Garcés. Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words. Cognitive Computation, vol. 5, no. 4, pp 448-457, 2013.
S. Murillo-Rendón, D. Peluffo-Ordóñez, J.D. Arias-Londoño, and C.G. Castellanos-Domínguez. Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines . Series Natural and Artificial Models in Computation and Biology - Lecture Notes in Computer Science, volume 7930, pages 274-282, Springer-Verlag, 2013.
J.R. Orozco-Arroyave, J.D. Arias-Londoño, J F Vargas-Bonilla and E. Nöth. Perceptual Analysis of Speech Signals from People with Parkinson’s Disease . Series Natural and Artificial Models in Computation and Biology - Lecture Notes in Computer Science, volume 7930, pages 201-211, Springer-Verlag, 2013.
J.R. Orozco-Arroyave, J.D. Arias-Londoño, J F Vargas-Bonilla and E. Nöth. Analysis of Speech from People with Parkinson’s Disease through Nonlinear Dynamics . Series Advances in Nonlinear Speech Processing - Lecture Notes in Computer Sciences, NOLISP2013, volume 7911, pages 112-119, Springer-Verlag, 2013.
E.A. Belalcazar-Bolaños, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, C.G. Castellanos-Domínguez and E. Nöth. New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson’s Disease . Series Natural and Artificial Models in Computation and Biology - Lecture Notes in Computer Science, volume 7930, pages 283-292, Springer-Verlag, 2013.
2012
Signal Processing / Machine Learning / AI
V. Osma-Ruiz, J.I. Godino-Llorente, N. Sáenz-Lechón, J.M. Gutiérrez-Arriola, J.D. Arias-Londoño, R. Fraile, B. Scola-Yurrita. Towards collaborative work among speech therapists, phonatricians, and ENT professionals. Analysis of the impact of ciphering techniques in the performance of an integrated tool for the diagnosis of voice disorders . Biomedical Signal Processing & Control, vol. 7, no. 1, pp 27-36, 2012.
J.R. Orozco-Arroyave, J.D. Arias-Londoño, J F Vargas-Bonilla and E. Nöth. Automatic detection of hypernasal speech signals using nonlinear and entropy measurements . 13th Annual Conference of the International Speech Communication Association, Interspeech 2012.
J.M. Gutiérrez-Arriola, V. Osma-Ruiz, N. Sáenz-Lechón, J.I. Godino-Llorente, R. Fraile and J.D. Arias-Londoño. Objective measurements to evaluate glottal space segmentation from laryngeal images. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC2012.
2011
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.I. Godino-Llorente, M. Markaki, and Y. Stylianou. On combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices. Logopedics Phoniatrics Vocology, vol. 36, no. 2, pp 60-69, 2011.
N. Sáenz-Lechón, R. Fraile, J.I. Godino-Llorente, R. Fernández-Baillo, V. Osma-Ruiz, J.M. Gutiérrez-Arriola, and J.D. Arias-Londoño. Towards objective evaluation of perceived roughness and breathiness based on mel-frequency cepstral analysis. Logopedics Phoniatrics Vocology, vol. 36, no. 2, pp 52-59, 2011.
J.D. Arias-Londoño, J.I. Godino-Llorente, N. Sáenz-Lechón, V. Osma-Ruiz, and G. Castellanos-Domínguez. Automatic detection of pathological voices using complexity measurements, noise parameters and mel-cepstral coefficients . IEEE Transactions on Biomedical Engineering, vol. 58, no. 2, pp 370-379, 2011.
J.R. Orozco-Arroyave, S. Murillo-Rendón, J.F. Vargas-Bonilla, J.D. Arias-Londoño, E. Delgado-Trejos, and C.G. Castellanos-Domínguez. Nonlinear dynamics for hypernasality detection. Series Advances in Nonlinear Speech Processing - Lecture Notes in Computer Sciences, NOLISP2011, volume 7015, pages 207-214, Springer-Verlag, 2011.
S. Murillo-Rendón, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño and C.G. Castellanos-Domínguez. Automatic detection of Hypernasality in Children. Series New Challenges on Bioinspired Applications - Lecture Notes in Computer Sciences,volume 6687, Part II, pages 167-174, Springer-Verlag, 2011.
J.I. Godino-Llorente, J.D. Arias-Londoño, N. Sáenz-Lechón, V. Osma-Ruiz, G. Castellanos-Domínguez and J.M. Gutiérrez-Arriola. Automatic assessment of pathological voice signals based on noise, cepstral and nonlinear features, 9th Pan European Voice Conference, 8th Workshop of the European Laryngological Society, PEVOC2011. Invited paper.
J.D. Arias-Londoño, J.I. Godino-Llorente, N. Sáenz-Lechón, V. Osma-Ruiz and J.M. Gutiérrez-Arriola. Automatic GRBAS assessment using complexity measures and a multi-class GMM-based detector, 7th Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA2011.
J.R. Orozco-Arroyave, S. Murillo-Rendón, A.M. Álvarez-Meza, J.D. Arias-Londoño, J.F. Vargas-Bonilla, and C.G. Castellanos-Domínguez. Automatic selection of acoustic and non-linear dynamic features in voice signals for hypernasality detection. 12th Annual Conference of the International Speech Communication Association, Interspeech2011.
2010
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.I. Godino-Llorente, N. Sáenz-Lechón, V. Osma-Ruiz, and G. Castellanos-Domínguez. An improved method for voice pathology detection by means of a HMM-based feature space transformation. Pattern Recognition, vol. 43, no. 9, pp 3100-3112, 2010.
M. Markaki, Y. Stylianou, J.D. Arias-Londoño, and J.I. Godino-Llorente. Dysphonia detection based on modulation spectral features and cepstral coefficients. Proceedings of 35th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2010.
2009
Signal Processing / Machine Learning / AI
J.D. Arias-Londoño, J.I. Godino-Llorente, J.A. Jaramillo-Garzón, and G. Castellanos-Domínguez. Dissimilarity-based classification for stochastic models of embedding spaces applied to voice pathology detection . Rev. Fac. Ing. Univ. Antioquia, vol. 1, no. 50, pp 102-112, 2009.
G. Daza-Santacoloma, J.D. Arias-Londoño, N. Sáenz-Lechón, Victor Osma-Ruiz, J.I. Godino- Llorente, and G. Castellanos-Domínguez. Dynamic feature extraction: an application to voice pathology detection. Intelligent Automation and Soft Computing, vol. 15, no. 4, pp 665-680, 2009.
V. Osma-Ruiz, J.M. Gutiérrez-Arriola, J.I. Godino-Llorente, N. Sáenz-Lechón, R. Fraile, and J.D. Arias-Londoño. Advanced pre-processing of larynx images to improve the segmentation of glottal area. Proceedings of 6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA2009.
J.D. Arias-Londoño, J.I. Godino-Llorente, G. Castellanos-Domínguez, N. Sáenz-Lechón, and V. Osma-Ruiz. Complexity Analysis of Pathological Voices by means of Hidden Markov Entropy measurements. Proceedings 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC2009. Finalist of the best paper student award.
J.D. Arias-Londoño, J.I. Godino-Llorente, and G. Castellanos-Domínguez. Short time analysis of pathological voices using complexity measures. Proceedings 3rd Advanced Voice Function Assessment International Workshop, AVFA2009.
M.O. Sarria-Paja, J.D. Arias-Londoño, J.I. Godino-Llorente, and G. Castellanos-Domínguez. On improvement of discriminative HMM training for pathological voice classification. Proceedings 3rd Advanced Voice Function Assessment International Workshop, AVFA2009.
2008
Signal Processing / Machine Learning / AI
- N. Sáenz-Lechón, V. Osma-Ruiz, J.I. Godino-Llorente, M. Blanco-Velasco, F. Cruz-Roldán, and J.D. Arias-Londoño. Effects of audio compression in automatic detection of voice pathologies. IEEE Transactions on Biomedical Engineering, vol. 55, no. 12, pp 2831-2835, 2008.
2007
Signal Processing / Machine Learning / AI
J.A. Jaramillo-Garzón, J.D. Arias-Londoño, and G. Castellanos-Domínguez. Spanish: Método híbrido de sintonización para algoritmos genéticos a partir de regresión por vectores de soporte. Scientia et Technica, vol. XIII, no. 37, 2007.
J.D. Arias-Londoño, G. Castellanos-Domínguez, and J.I. Godino-Llorente. Spanish: Diseño simultáneo de una etapa de extracción de características y un clasificador basado en HMM. Scientia et Technica, vol. XIII, no. 35, 2007.