Publications (13)
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education
Debajyoti Datta, Maria Phillips, Jennifer Chiu +4
Machine learning techniques applied to the Natural Language Processing (NLP) component of conversational agent development show promising results for improved accuracy and quality…
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In t…
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C
Sihang Jiang, Johanna Loomba, Suchetha Sharma +1
It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer…
Upscaled Lattice Boltzmann Method for Simulations of Flows in Heterogeneous Porous Media
Jun Li, Donald Brown
A upscaled lattice Boltzmann method (LBM) for flow simulations in heterogeneous porous media, at both pore and Darcy scales, is proposed in this paper. In the micro-scale simulatio…
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari, Rasoul Sali, Lubaina Ehsan +7
Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have show…
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Physicians use Capsule Endoscopy (CE) as a non-invasive and non-surgical procedure to examine the entire gastrointestinal (GI) tract for diseases and abnormalities. A single CE exa…