1 citations · 1 across the 5 of their papers we have counts for
5 papers
NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
Debaditya Shome, Nasim Montazeri Ghahjaverestan, Ali Etemad
Sleep is known to be a key factor in emotional regulation and overall mental health. In this study, we explore the integration of sleep measures from the previous night into wearab…
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
Debaditya Shome, Ali Etemad
We propose EmoDistill, a novel speech emotion recognition (SER) framework that leverages cross-modal knowledge distillation during training to learn strong linguistic and prosodic…
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Debaditya Shome, Pritam Sarkar, Ali Etemad
The high prevalence of cardiovascular diseases (CVDs) calls for accessible and cost-effective continuous cardiac monitoring tools. Despite Electrocardiography (ECG) being the gold…
EXnet: Efficient In-context Learning for Data-less Text classification
Debaditya Shome, Kuldeep Yadav
Large pre-trained language models (PLMs) have made significant progress in encoding world knowledge and spawned a new set of learning paradigms including zero-shot, few-shot, and i…
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome, Omer Waqar, Wali Ullah Khan
In order to meet the extremely heterogeneous requirements of the next generation wireless communication networks, research community is increasingly dependent on using machine lear…