13 citations · 51 across the 10 of their papers we have counts for
19 papers
Uncertainty-aware integration of deuterium metabolic imaging with genome-scale metabolic modeling reveals diet-associated feasible-space remodeling in mouse skeletal muscle
Tin Yau Pang, Samia Maouhoub, Maruf Khan +4
Deuterium metabolic imaging (DMI) measures glucose-derived labeling in vivo, but noisy time courses complicate network-level interpretation. We developed an uncertainty-aware workf…
Evidential Multimodal Transformers with Dempster-Shafer Fusion for Emotion Recognition
Muhammad Usama, Yeoreum Jung
Softmax-based multimodal emotion recognition methods often assign high confidence even when sensor data are corrupted or contradictory, for example when facial expressions suggest…
Sparks of Large Audio Models: A Survey and Outlook
Siddique Latif, Moazzam Shoukat, Fahad Shamshad +8
This survey paper provides a comprehensive overview of the recent advancements and challenges in applying large language models to the field of audio signal processing. Audio proce…
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers
Siddique Latif, Muhammad Usama, Mohammad Ibrahim Malik +1
Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art deep learning (DL) approaches face the challenge of the limited availability of annotated d…
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing
Ibrahim Malik, Siddique Latif, Sanaullah Manzoor +3
Non-speech emotion recognition has a wide range of applications including healthcare, crime control and rescue, and entertainment, to name a few. Providing these applications using…
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Siddique Latif, Hafiz Shehbaz Ali, Muhammad Usama +3
Automated emotion recognition (AER) technology can detect humans' emotional states in real-time using facial expressions, voice attributes, text, body movements, and neurological s…