Author

Aleksandr Koshkarov

Université de SherbrookeORCID 0000-0002-3630-2911Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1

Frequent Co-Authors

Nadia TahiriiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

Evolutionary BiologybioRxivPreprintApr 4, 2026

k-Nearest Common Leaves algorithm for phylogenetic tree completion

Aleksandr Koshkarov, Nadia Tahiri

This paper introduces k-NCL, an algorithm for completing rooted phylogenetic trees with overlapping taxa, preserving topology and branch lengths, and shows it improves clustering performance when combined with RF.

DOI 10.64898/2026.04.02.716144

deep learningstatistical model

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