Researchers have created an AI model, 'SleepFM', that predicts health risks across 130 conditions by analyzing sleep data. Developed with six lakh hours of data from 65,000 participants, SleepFM ...
Abstract: This study addresses the unique challenges of sentiment analysis in Chinese massive open online course (MOOC) reviews, where pedagogically embedded language, intra-sentence sentiment shifts, ...
Abstract: Multimodal sentiment analysis (MSA) is vital for applications like opinion monitoring and human-computer interaction. Current methods face challenges with modality heterogeneity, inefficient ...
Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems which imposes ...
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