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A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features.

, and . HEALTHINF, page 658-664. SciTePress, (2018)

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A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features., and . HEALTHINF, page 658-664. SciTePress, (2018)An Easy Approach for the Classification of Children's Voices based on the Fundamental Frequency Estimation., , and . HEALTHINF, page 570-577. SciTePress, (2016)A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis., , , , , , and . ICTAI, page 330-335. IEEE, (2021)Toward an Interoperable Catalogue of Multimodal Depression-Related Data., , , , , , , , , and . AII, page 376-390. (2022)Vox4Health: Preliminary Results of a Pilot Study for the Evaluation of a Mobile Voice Screening Application., , and . ISAmI, volume 476 of Advances in Intelligent Systems and Computing, page 131-140. Springer, (2016)Evaluating Efficiency and Effectiveness of Federated Learning Approaches in Knowledge Extraction Tasks., , , , and . IJCNN, page 1-6. IEEE, (2021)A new database of healthy and pathological voices., , , , , and . Comput. Electr. Eng., (2018)A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments., , , , and . ACM Trans. Internet Techn., 22 (1): 8:1-8:16 (2022)Improving Classification Trustworthiness in Random Forests., , , and . CSR, page 563-568. IEEE, (2021)Exploring Data and Model Poisoning Attacks to Deep Learning-Based NLP Systems., , and . KES, volume 192 of Procedia Computer Science, page 3570-3579. Elsevier, (2021)