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Author

Prof. S. S. Bhor

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#graph neural networks Open access Nov 2026

Generative and Deep Learning In Bioinformatics: A Review of Protein Structure Prediction, Sequence Representation Learning and AI-Assisted Drug Discovery

Artificial intelligence, and generative modelling in particular, is creating new opportunities in bioinformatics. Conventional computational biology relied on physics-based simulation, sequence alignment and manual feature engineering, each limited by computational cost and the need for expert interpretation. This pape...

Tirandaj Fatima Khalid, Prof. S. S. Bhor, Prof. M. C. Kolse et al. · 0 citations
#reinforcement learning Open access Nov 2026

How Recommendation Systems Work At Netflix and Youtube: A Review of Candidate Generation, Ranking, Multitask Objectives and Responsible Personalization

Streaming platforms such as Netflix and YouTube offer catalogues far larger than any user can browse, and most of what people watch is chosen from personalized recommendations. This paper explains how these industrial recommendation systems work, based on published research from the platforms and the wider community. I...

Tambe Siddhi Mahesh, Prof. S. S. Bhor, Prof. M. C. Kolse et al. · 0 citations

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