5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2026
PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us
Gal Sapir, Alon Diament, Adva Wolf +7
Deeply phenotyped cohorts combine clinical, imaging, molecular, and wearable observations across timescales from seconds to years, but heterogeneous analyses are not directly compa…
q-bio.PE2023★ 5 cited
The tree reconstruction game: phylogenetic reconstruction using reinforcement learning
Dana Azouri, Oz Granit, Michael Alburquerque +3
We propose a reinforcement-learning algorithm to tackle the challenge of reconstructing phylogenetic trees. The search for the tree that best describes the data is algorithmically…