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Tulasi Naga Subhash Polineni

Sr Data Engineer, Exelon

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

A Scalable and Robust Framework for Advanced Semi Supervised Learning Supporting Universal Applications

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 17 Posted: 06 Jan 2025
Sr Data Engineer, Exelon, RGM College of Engineering and Technology, CIGNA, Terna Engineering College, Research Assistant and CVR College Of Engineering
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Abstract:

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semi-supervised learning, scalable frameworks, robust machine learning, domain adaptability, hybrid loss functions, explainable AI, SHAP, noisy data handling, text classification, image classification, graph neural networks, domain shifts, dynamic feature transformation, data augmentation, pseudo-la