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About us
The Robert Bosch Centre for Data Science and AI (RBCDSAI) aims to leverage data science to give insights to make actionable, reliable and impactful decisions for adoption in engineering, finance and healthcare domains. We are one of the pre-eminent interdisciplinary research centres for Data Science and AI in India with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups.
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Publications
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PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
https://doi.org/10.48550/arXiv.2306.14357
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Dynamical systems approaches to solving time-varying convex optimization problem with inequality constraints
https://arxiv.org/pdf/2312.10203.pdf
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Analysis of potential flow networks: Variations in transport time with discrete, continuous, and selfish operation
https://doi.org/10.1016/j.physa.2023.129303
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Equitable supply in intermittently operated rural water networks in emerging economies
https://doi.org/10.2166/ws.2023.268
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MKT1 alleles regulate stress responses through posttranscriptional modulation of Puf3 targets in budding yeast
https://doi.org/10.1002/yea.3908
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A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer
https://doi.org/10.1016/j.ymben.2023.08.006
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Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
https://doi.org/10.1038/s41598-023-46391-7
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PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
https://doi.org/10.48550/arXiv.2311.07002