An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set. - Shovik Ganguly; Atrayee Chatterjee; Debasmita Bhoumik; Ritajit Majumdar (CoRR, 2020)

A machine learning based heuristic to predict the efficacy of online sale. - Aditya Vikram Singhania; Saronyo Lal Mukherjee; Ritajit Majumdar; Akash Mehta; Priyanka Banerjee; Debasmita Bhoumik (CoRR, 2020)

Granulated deep learning and Z-numbers in motion detection and object recognition. - Sankar K. Pal; Debasmita Bhoumik; Debarati Bhunia Chakraborty (Neural Comput. Appl., 2020)

Optimizing Ansatz Design in QAOA for Max-cut. - Ritajit Majumdar; Dhiraj Madan; Debasmita Bhoumik; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2021)

Depth Optimized Ansatz Circuit in QAOA for Max-Cut. - Ritajit Majumdar; Debasmita Bhoumik; Dhiraj Madan; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2021)

Efficient Machine-Learning-based decoder for Heavy Hexagonal QECC. - Debasmita Bhoumik; Ritajit Majumdar; Dhiraj Madan; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (CoRR, 2022)

Surface code design for asymmetric error channels. - Utkarsh Azad; Aleksandra Lipinska; Shilpa Mahato; Rijul Sachdeva; Debasmita Bhoumik; Ritajit Majumdar (IET Quantum Commun., 2022)

Machine Learning based Decoding of Heavy Hexagonal QECC for Asymmetric Quantum Noise. - Debasmita Bhoumik; Ritajit Majumdar; Dhiraj Madan; Susmita Sur-Kolay (ISVLSI, 2024)

Optimized QAOA ansatz circuit design for two-body Hamiltonian problems. - Ritajit Majumdar; Dhiraj Madan; Debasmita Bhoumik; Dhinakaran Vinayagamurthy; Shesha Raghunathan; Susmita Sur-Kolay (VLSID, 2024)

Resource-aware scheduling of multiple quantum circuits on a hardware device. - Debasmita Bhoumik; Ritajit Majumdar; Susmita Sur-Kolay (CoRR, 2024)

Brain Tumor Detection through Thermal Imaging and MobileNET. - Roham Maiti; Debasmita Bhoumik (CoRR, 2025)