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Diego Mellado
Diego Mellado
Estudiante Doctorado en Ciencias e Ingeniería para la Salud, Universidad de Valparaíso
Verified email at postgrado.uv.cl
Title
Cited by
Cited by
Year
Self-improving generative artificial neural network for pseudorehearsal incremental class learning
D Mellado, C Saavedra, S Chabert, R Torres, R Salas
Algorithms 12 (10), 206, 2019
232019
Pseudorehearsal approach for incremental learning of deep convolutional neural networks
D Mellado, C Saavedra, S Chabert, R Salas
Computational Neuroscience: First Latin American Workshop, LAWCN 2017, Porto …, 2017
122017
A Computational Fractional Signal Derivative Method
M Salinas, R Salas, D Mellado, A Glaría, C Saavedra
Modelling and Simulation in Engineering 2018, 2018
112018
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies-Evaluation of Derivative Approaches
G Tapia, M Salinas, J Plaza, D Mellado, R Salas, C Saavedra, A Veloz, ...
International Conference on Bio-inspired Systems and Signal Processing 5 …, 2017
42017
An Assessment of In-the-Wild Datasets for Multimodal Emotion Recognition
A Aguilera, D Mellado, F Rojas
Sensors 23 (11), 5184, 2023
32023
A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports
E Godoy, S Chabert, M Querales, J Sotelo, D Parra, C Fernandez, ...
18th International Symposium on Medical Information Processing and Analysis …, 2023
22023
Incremental ensemble of deep learning with pseudorehearsal
D Mellado, R Salas, S Chabert, A Veloz, C Saavedra
II Latin American Conference on Statistical Computing, Valparaiso, Chile, 2017
22017
Aplicación de Deep Learning para la detección de Apnea e Hipoapnea del Sueno basado en Senales de Polisomnografıa
D Mellado, C Saavedra, R Salas
IX Congreso Anual de Ingeniería Biomédica - CAIB2016, 2016
22016
Multimodal Emotion Recognition Dataset in the Wild (MERDWild)
F Martínez, A Aguilera, D Mellado
2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering …, 2023
2023
A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings
D Mellado, M Querales, J Sotelo, E Godoy, F Pardo, S Lever, S Chabert, ...
2023 19th International Symposium on Medical Information Processing and …, 2023
2023
Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques
J Ugalde, E Godoy, D Mellado, E Cavieres, B Carvajal, C Fernández, ...
International Conference on Human-Computer Interaction, 538-545, 2023
2023
Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning
R Torres, C Zurita, D Mellado, O Nicolis, C Saavedra, M Tuesta, M Salinas, ...
Diagnostics 13 (3), 508, 2023
2023
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies-Evaluation of Derivative Approaches
G Tapia, M Salinas, J Plaza, D Mellado, R Salas, C Saavedra, A Veloz, ...
International Conference on Bio-inspired Systems and Signal Processing 5 …, 2017
2017
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies
G Tapia, M Salinas, J Plaza, D Mellado, R Salas, C Saavedra, A Veloz, ...
Biosignal: 10th International Joint Conference on Biomedical Engineering …, 2017
2017
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