| 2024 | ICPR | A Guided Input Sampling-Based Perturbative Approach for Explainable AI in Image-Based Application. | Arju Bano, Monidipa Das |
| 2023 | ICLR | GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. | Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay |
| 2022 | CIKM | A Model-Centric Explainer for Graph Neural Network based Node Classification. | Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay |
| 2022 | HIS | TURBaN: A Theory-Guided Model for Unemployment Rate Prediction Using Bayesian Network in Pandemic Scenario. | Monidipa Das, Aysha Basheer, Sanghamitra Bandyopadhyay |
| 2021 | COMAD | Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach. | Monidipa Das, Soumya K. Ghosh |
| 2021 | Tencon | SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences. | Monidipa Das, Suparna Dutta |
| 2020 | AAAI | A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. | Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong |
| 2020 | IGARSS | Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach. | Monidipa Das |
| 2020 | KDD | A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. | Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo |
| 2019 | COMAD | Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN). | Monidipa Das, Soumya K. Ghosh |
| 2019 | HIS | Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network. | Atul Patel, Monidipa Das, Soumya K. Ghosh |
| 2019 | ICDM | MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. | Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang |
| 2019 | IJCNN | FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. | Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta |
| 2018 | ICDE | FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN) (Extended Abstract). | Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, Vemuri M. Chowdary, Ravoori Nagaraja, Vinay Kumar Dadhwal |
| 2016 | IGARSS | A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data. | Monidipa Das, Soumya K. Ghosh |