3 citations · 5 across the 5 of their papers we have counts for
5 papers
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence
Shagufta Henna, Juan Miguel Lopez Alcaraz
Convolutional neural networks (CNN) are known for their excellent feature extraction capabilities to enable the learning of models from data, yet are used as black boxes. An interp…
Understanding Human Innate Immune System Dependencies using Graph Neural Networks
Shagufta Henna
Since the rapid outbreak of Covid-19 and with no approved vaccines to date, profound research interest has emerged to understand the innate immune response to viruses. This underst…
A Data Augmented Approach to Transfer Learning for Covid-19 Detection
Shagufta Henna, Aparna Reji
Covid-19 detection at an early stage can aid in an effective treatment and isolation plan to prevent its spread. Recently, transfer learning has been used for Covid-19 detection us…
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Shagufta Henna, Shyam Krishnan Kalliadan
In a business-to-business (B2B) customer relationship management (CRM) use case, each client is a potential business organization/company with a solid business strategy and focused…
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems
Shagufta Henna
Hybrid FSO/RF system requires an efficient FSO and RF link switching mechanism to improve the system capacity by realizing the complementary benefits of both the links. The dynamic…