| A virtual laboratory for computer organisation and logic design (COLDVL) and its utilisation for MOOCs G Roy, D Ghosh, C Mandal 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology …, 2015 | 12 | 2015 |
| A virtual laboratory package to support teaching of logic design and computer organization G Roy, D Ghosh, C Mandal 2015 IEEE Seventh International Conference on Technology for Education (T4E …, 2015 | 8 | 2015 |
| Aiding teaching of logic design and computer organization through dynamic problem generation and automatic checker using COLDVL tool G Roy, D Ghosh, C Mandal, I Mitra 2015 IEEE Seventh International Conference on Technology for Education (T4E …, 2015 | 6 | 2015 |
| Auto-correction of Consumer Generated Text in Semi-Formal Environment L Dey, G Roy 7th Language & Technology Conference: Human Language Technologies as a …, 2015 | 3 | 2015 |
| Learning Domain Terms-Empirical Methods to Enhance Enterprise Text Analytics Performance G Roy, L Dey, M Shakir, T Dasgupta Proceedings of the 28th International Conference on Computational …, 2020 | 2 | 2020 |
| COLDVL: a virtual laboratory tool with novel features to support learning in logic design and computer organisation G Roy, D Ghosh, C Mandal Journal of Computers in Education 4 (4), 461-490, 2017 | 2 | 2017 |
| Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC G Roy, D Chakrabarty International Conference on Neural Information Processing, 275-287, 2022 | 1 | 2022 |
| Framework for Analyzing and Improving Quality of Available Data for Enterprise Automation Tasks M Shakir, G Roy, A Sukla, T Dasgupta, G Sharma, L Dey Knowledge Discovery and Data Mining (KDD) workshop, DCCL 2019, 2019 | 1 | 2019 |
| A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures G Roy, D Chakrabarty arXiv preprint arXiv:2404.12478, 2024 | | 2024 |
| Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease scores D Chakrabarty, K Wang, G Roy, A Bhojgaria, C Zhang, J Pavlu, ... Plos one 18 (10), e0292404, 2023 | | 2023 |
| Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo G Roy, K Warrior, D Chakrabarty EPIA Conference on Artificial Intelligence, 184-195, 2023 | | 2023 |
| Machine Learning Based Prediction of Veno Occlusive Disease Following Allogenic Stem Cell Transplantation A Bhojgaria, D Chakrabarty, K Wang, G Roy, J Pavlu, B Padate, N Khattry, ... Blood 140 (Supplement 1), 12863-12863, 2022 | | 2022 |
| METHOD AND SYSTEM FOR TEXT CLEANING. G Roy, L Dey, M Shakir US Patent App. 17/474,694, 2022 | | 2022 |
| Learning Multi-Label Classification from Data Annotated with Unique Labels G Roy, L Dey Research in Computing Science 148 (12), 5-18, 2019 | | 2019 |
| Email Repository Analysis – Learning from communications L Dey, K Ranjan, G Roy, S Mittal 18th International Conference on Computational Linguistics and Intelligent …, 2017 | | 2017 |
Chittaranjan MandalDept of Computer Sc & Engg, IIT KharagpurVerified email at iitkgp.ac.in
