Andrew Ponomarev

Decision Support Based on Large Language Models: Ontology-Based Architecture and Generalized Scenario

А С Смирнов, Tatiana Levashova, Andrew Ponomarev

The paper presents initial results on models and methods of LLM-assisted augmented intelligence in context-aware decision support. It investigates a range of LLM-based decision support scenarios and reveals that they face common challenges, including problem clarification, user preference consideration, domain knowledge usage, …

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 2; peer review: 2 approved]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 2; peer review: 2 approved]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 1; peer review: 2 approved with reservations]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)

Peer Review Report For: GRAPE: genomic relatedness detection pipeline [version 1; peer review: 2 approved with reservations]

Alexander Medvedev, Mikhail Lebedev, Andrew Ponomarev, Mikhail Kosaretskiy et autres

Classifying the degree of relatedness between pairs of individuals has both scientific and commercial applications. As an example, genome-wide association studies (GWAS) may suffer from high rates of false positive results due to unrecognized population structure. This problem becomes especially relevant with …

ru, cn, gb (code pays fourni par la source)