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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)

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Improving Classification Trustworthiness in Random Forests., , , and . CSR, page 563-568. IEEE, (2021)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)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)A new database of healthy and pathological voices., , , , , and . Comput. Electr. Eng., (2018)Fuzzy-based Severity Evaluation in Privacy Problems: an Application to Healthcare., , , , , and . EDCC, page 147-154. IEEE, (2024)A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices., , , , and . HEALTHINF, page 545-552. SciTePress, (2017)Voice Disorder Identification by Using Machine Learning Techniques., , and . IEEE Access, (2018)Exploring the Impact of Data Poisoning Attacks on Machine Learning Model Reliability., , and . KES, volume 192 of Procedia Computer Science, page 2624-2632. Elsevier, (2021)Towards an extension of Fault Trees in the Predictive Maintenance Scenario., , , , and . CoRR, (2024)Dealing with clinical outcome and fair cost: the FIDCARE platform., , , , and . EASE, page 425-428. ACM, (2024)