3 citations · 3 across the 5 of their papers we have counts for
5 papers
TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
Akash Pandey, Payal Mohapatra, Wei Chen +2
Identifying the extent to which every temporal segment influences a model's predictions is essential for explaining model decisions and increasing transparency. While post-hoc expl…
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
Payal Mohapatra, Yueyuan Sui, Akash Pandey +2
From clinical healthcare to daily living, continuous sensor monitoring across multiple modalities has shown great promise for real-world intelligent decision-making but also faces…
Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs
Payal Mohapatra, Akash Pandey, Xiaoyuan Zhang +1
Unvoiced electromyography (EMG) is an effective communication tool for individuals unable to produce vocal speech. However, most prior methods rely on paired voiced and unvoiced EM…
COLOR: A compositional linear operation-based representation of protein sequences for identification of monomer contributions to properties
Akash Pandey, Wei Chen, Sinan Keten
The properties of biological materials like proteins and nucleic acids are largely determined by their primary sequence. While certain segments in the sequence strongly influence s…
Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks
Payal Mohapatra, Akash Pandey, Yueyuan Sui +1
Human emotion understanding is pivotal in making conversational technology mainstream. We view speech emotion understanding as a perception task which is a more realistic setting.…