A Discrete Simulation Optimization Approach Towards Calibration of an Agent-based Simulation Model of Hepatitis C Virus Transmission

no code implementations • 6 Jul 2021 • Soham Das, Navonil Mustafee, Varun Ramamohan

We conceptualize the calibration process as a discrete simulation optimization problem by discretizing the calibration parameter ranges, defining an appropriate objective function, and then applying the stochastic ruler random search method to solve this problem.

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images

no code implementations • 12 Mar 2020 • Soumyajyoti Dey, Soham Das, Swarnendu Ghosh, Shyamali Mitra, Sukanta Chakrabarty, Nibaran Das

One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data.

Synthetic Data Generation