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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Chandra Sekhar Sanaboina

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2 papers indexed here

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Open access Aug 2026

Maria-X: A Multimodal Transformer Aware of Missing Data for Reliable Diagnosis and Prognosis of Alzheimer’s Disease

Missing values are a persistent issue across real-world datasets, and they often undermine the reliability of models built on top of that data. Most existing solutions have been developed and tested under the MCAR assumption a condition that is uncommon in actual data collection settings and therefore leaves open quest...

Lakshmiprasannakumar Vemavarapu, Chandra Sekhar Sanaboina · 0 citations
Open access Aug 2026

Elastic net–guided NSGA-II for scalable multi-objective feature selection in high-dimensional data analytics

Redundant, irrelevant, and noisy features make it very hard to analyse high-dimensional data, especially when the number of features is much larger than the number of samples. Conventional feature selection methods, such as filter, wrapper, and embedded methods, are unable to balance predictive accuracy, feature subset...

S. Subhani, Gudipati Murali, Chandra Sekhar Sanaboina · 0 citations

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