Call for Papers

ARIAL@IJCAI24 will be held on August 3rd - 5th, 2024, in Jeju, South Korea. In this workshop, we invite previously unpublished and novel submissions in the following areas (pertaining to aging and rehabilitation), but not limited to: 

• Methods and protocols for multimodal data collection, data annotation, and data labeling with older adult populations.

• Data cleaning, curation, sharing, and harmonization.

• Data analytics and visualization techniques for healthcare data of older adults.

• Methodologies for big data and large-scale machine learning, including cloud computing. 

• Challenges in machine learning such as handling missing data, and dealing with mixed, imbalanced, poorly labeled, and noisy data. 

• Techniques for virtual rehabilitation, virtual coaches, and telemedicine.

• Development and deployment of long-term sensor-based remote monitoring systems.

• Audio/video, multimodal interaction for patient engagement, exercise monitoring, and successful delivery of rehabilitation.

• Addressing privacy concerns of patient data, e.g., privacy-protecting sensing modalities, federated learning, and differential privacy.

• Machine learning and deep learning algorithms to identify anomalous, harmful, life-threatening, and abnormal behaviors in older care settings. 

• AI approaches for continuous streaming, monitoring, and analysis of health, activity, contextual, and online data for older adults.

• Techniques for handling data biases, and other biases related to sex, gender, ethnicity, and age (e.g., fair machine learning strategies). 

• Machine learning methods for measuring health indicators, and progression of physical and cognitive health, e.g., frailty, dementia, mental health, and gait stability.

• AI approaches for data fusion from multi-modal sensor interaction and ensemble algorithm development (e.g., multi-view learning approaches).