| 2026 | ICPR | A Fully Unsupervised Framework for Object Mask Labeling with the Self-supervised Vision Transformer. | Sonal Kumar, Kathrotiya Sanket Jitendrabhai, Akshay Daydar, Arijit Sur, Rashmi Dutta Baruah |
| 2024 | ICPR | GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering. | Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah |
| 2022 | IJCNN | Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network. | Deepankar Nankani, Rashmi Dutta Baruah |
| 2021 | ACIIDS | Towards Layer-Wise Optimization of Contextual Neural Networks with Constant Field of Aggregation. | Miroslava Mikusov, Antonin Fuchs, Adrian Karasinski, Rashmi Dutta Baruah, Rafal Palak, Erik Dawid Burnell, Krzysztof Wolk |
| 2021 | Tencon | Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation. | Deepankar Nankani, Rashmi Dutta Baruah |
| 2021 | Tencon | R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators. | Deepankar Nankani, Parabattina Bhagath, Rashmi Dutta Baruah, Pradip K. Das |
| 2020 | ACIIDS | Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network. | Achyut Mani Tripathi, Rashmi Dutta Baruah |
| 2020 | IJCNN | Transfer Learning in Smart Home Scenario. | Sonia, Rashmi Dutta Baruah |
| 2020 | IJCNN | Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation. | Deepankar Nankani, Rashmi Dutta Baruah |
| 2020 | IJCNN | Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. | Achyut Mani Tripathi, Rashmi Dutta Baruah |
| 2019 | SMC | Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. | Pallabi Saikia, Rashmi Dutta Baruah |
| 2019 | SMC | Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier. | Achyut Mani Tripathi, Rashmi Dutta Baruah |
| 2019 | Tencon | An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning. | Deepankar Nankani, Rashmi Dutta Baruah |
| 2018 | IJCNN | Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. | Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah |
| 2017 | SMC | An immune-inspired online feature selection mechanism. | Senia, Shivashankar B. Nair, Rashmi Dutta Baruah |
| 2011 | SMC | Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. | Rashmi Dutta Baruah, Plamen Angelov, Javier Andreu |
| 2007 | IWCMC | EZeeCom: enabling spontaneous social interactions over mobile ad hoc networks. | Rashmi Dutta Baruah, Shivashankar B. Nair |