5 citations · 7 across the 5 of their papers we have counts for
5 papers
RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification
Aydin Javadov, Samir Garibov, Tobias Hoesli +4
Medical time series analysis is challenging due to data sparsity, noise, and highly variable recording lengths. Prior work has shown that stochastic sparse sampling effectively han…
Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Yupei Li, Qiyang Sun, Michelle Schlicher +2
Affective Computing (AC) has enabled Artificial Intelligence (AI) systems to recognise, interpret, and respond to human emotions - a capability also known as Artificial Emotional I…
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations
Yupei Li, Qiyang Sun, Sunil Munthumoduku Krishna Murthy +2
Affective Computing (AC) is essential for advancing Artificial General Intelligence (AGI), with emotion recognition serving as a key component. However, human emotions are inherent…
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment
Qiyang Sun, Yupei Li, Emran Alturki +2
As Artificial Intelligence (AI) continues to advance rapidly, Friendly AI (FAI) has been proposed to advocate for more equitable and fair development of AI. Despite its importance,…
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun, Alican Akman, Björn W. Schuller
The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In…