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Jesus Monge-Alvarez
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2010 – 2019
- 2019
- [j5]Jesus Monge-Alvarez
, Carlos Hoyos-Barcelo
A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features. IEEE Trans. Biomed. Eng. 66(8): 2319-2330 (2019) - [j4]Jesus Monge-Alvarez
Robust Detection of Audio-Cough Events Using Local Hu Moments. IEEE J. Biomed. Health Informatics 23(1): 184-196 (2019) - 2018
- [j3]Carlos Hoyos-Barcelo
Efficient computation of image moments for robust cough detection using smartphones. Comput. Biol. Medicine 100: 176-185 (2018) - [j2]Huaizhong Zhang
A novel infrared video surveillance system using deep learning based techniques. Multim. Tools Appl. 77(20): 26657-26676 (2018) - [j1]Carlos Hoyos-Barcelo
Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones. IEEE J. Biomed. Health Informatics 22(5): 1662-1671 (2018) - 2016
- [c2]Jesus Monge-Alvarez
Effect of importance sampling on robust segmentation of audio-cough events in noisy environments. EMBC 2016: 3740-3744 - 2015
- [c1]Pablo Casaseca-de-la-Higuera
Effect of downsampling and compressive sensing on audio-based continuous cough monitoring. EMBC 2015: 6231-6235
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