151 citations · 208 across the 22 of their papers we have counts for
5 papers · 1 filter
Feature Imitating Networks
Sari Saba-Sadiya, Tuka Alhanai, Mohammad M Ghassemi
In this paper, we introduce a novel approach to neural learning: the Feature-Imitating-Network (FIN). A FIN is a neural network with weights that are initialized to reliably approx…
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mohammad Mahdi Ghassemi +1
Phonocardiogram (PCG) signal analysis is a critical, widely-studied technology to noninvasively analyze the heart's mechanical activity. Through evaluating heart sounds, this techn…
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations
Hooman Sedghamiz, Shivam Raval, Enrico Santus +2
While contrastive learning is proven to be an effective training strategy in computer vision, Natural Language Processing (NLP) is only recently adopting it as a self-supervised al…
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
Shivam Raval, Hooman Sedghamiz, Enrico Santus +3
Adverse Events (AE) are harmful events resulting from the use of medical products. Although social media may be crucial for early AE detection, the sheer scale of this data makes i…
Artifact Detection and Correction in EEG data: A Review
S Sadiya, T Alhanai, MM Ghassemi
Electroencephalography (EEG) has countless applications across many of fields. However, EEG applications are limited by low signal-to-noise ratios. Multiple types of artifacts cont…