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Parkinson's Disease Action Tremor Detection with Supervised-Leaning Models

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Wearable-Sensor-Based Weakly Supervised Parkinson’s Disease Assessment with Data Augmentation

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Comparing laboratory and in-the-wild data for continuous Parkinson’s Disease tremor detection

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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach

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Automated Shoulder Girdle Rigidity Assessment in Parkinson’s Disease via an Integrated Model- and Data-Driven Approach

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Personalized and Weakly Supervised Learning for Parkinson's Disease Symptom Detection

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Continuous and Unconstrained Tremor Monitoring in Parkinson's Disease Using Supervised Machine Learning and Wearable Sensors

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Using Deep Learning for Task and Tremor Type Classification in People with Parkinson’s Disease

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Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection

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