Author:
Wang Shuangyi,Zhou Tianren,Shen Zhaoyan,Jia Zhiping
Publisher
Springer Nature Switzerland
Reference32 articles.
1. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597–1607. PMLR (2020)
2. Correia, J., Trancoso, I., Raj, B.: In-the-wild end-to-end detection of speech affecting diseases. In: 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 734–741. IEEE (2019)
3. Diaz, M., Moetesum, M., Siddiqi, I., Vessio, G.: Sequence-based dynamic handwriting analysis for Parkinson’s disease detection with one-dimensional convolutions and BiGRUs. Expert Syst. Appl. 168, 114405 (2021)
4. Dimauro, G., Di Nicola, V., Bevilacqua, V., Caivano, D., Girardi, F.: Assessment of speech intelligibility in Parkinson’s disease using a speech-to-text system. IEEE Access 5, 22199–22208 (2017)
5. El Maachi, I., Bilodeau, G.A., Bouachir, W.: Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait. Expert Syst. Appl. 143, 113075 (2020)