Modeling Task Uncertainty for Neural Processes to Meta-Learn with Fewer Tasks Eva Cherian, Mrinal Das Neurocomputing journal, 2026 |
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HEIGHTS: Hierarchical graph structure learning for time series anomaly detection Vinitha M Rajan, Sahely Bhadra Neurocomputing journal, 2026 |
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Advances in Electronic Health Records Enabled by Artificial Intelligence and Natural Language Processing: A Review of Recent Developments, Limitations and Future Applications Etana Fikadu Dinsa, Mrinal Das, Teklu Urgessa Abebe Discover Applied Sciences, 2026 |
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2025
A Supervised Learning Approach for Recommending Medical Specialists in the Healthcare Sector for the Afaan Oromo Context Etana Fikadu, Mrinal Das, Teklu Urgessa, Krishnaraj Ramaswamy Springer Nature Discover Computing, Volume 28, Article 46, 2025 |
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Contrastive Loss Coupled with Occlusion Aware Training Aids in Face Recognition from Low Quality Group Photos Sam Narayana Subudhi, Mrinal Das International Conference on Microwave, Optical and Communication Engineering, 2025
MLP-SVM: A Hybrid Approach for Improving the Performance of the Classification Model for Health-Related Documents from Social Media Using Multi-Layer Perceptron and Support Vector Machine Etana Fikadu, Mrinal Das, Teklu Urgesa Springer Nature Discover Applied Sciences, 2025 |
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Efficient 3D kernels for molecular property prediction Ankit, Sahely Bhadra, and J Rousu Bioinformatics 41 (Supplement_1), i58-i67, 2025 |
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Focus On What Matters: Guiding Vision Transformers Towards Justification Thomas John, Mrinal Das Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025 |
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Warping resilient robust anomaly detection for multivariate time series S Abilasha, Sahely Bhadra Machine Learning 114(2): 29, 2025 |
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