5 citations · 6 across the 2 of their papers we have counts for
4 papers
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection
Krishanu Sarker, Sharbani Pandit, Anupam Sarker +2
Effective and reliable screening of patients via Computer-Aided Diagnosis can play a crucial part in the battle against COVID-19. Most of the existing works focus on developing sop…
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
Krishanu Sarker, Xiulong Yang, Yang Li +2
The success of Deep Neural Networks (DNNs) highly depends on data quality. Moreover, predictive uncertainty makes high performing DNNs risky for real-world deployment. In this pape…
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data
Krishanu Sarker, Mohamed Masoud, Saeid Belkasim +1
Human activity recognition based on video streams has received numerous attentions in recent years. Due to lack of depth information, RGB video based activity recognition performs…
Optimizing Capacitated Vehicle Scheduling with Time Windows: A Case Study of RMC Delivery
Mohamed Masoud, Saeid Belkasim
Ready Mixed Concrete Delivery Problem (RMCDP) is a multi-objective multi-constraint dynamic combinatorial optimization problem. From the operational research prospective, it is a r…