DPGR framework infers clade-level relative transmission fitness from GISAID influenza data and CNN models predict DPGR from full viral genomes with R² above 0.95.
Predicting Variant Fitness of SARS-COV-2 from Full Viral Genome Sequences
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
citing papers explorer
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Inferring and Predicting Clade-Level Relative Transmission Fitness in Seasonal Influenza A Using Differential Population Growth Rate and Deep Learning
DPGR framework infers clade-level relative transmission fitness from GISAID influenza data and CNN models predict DPGR from full viral genomes with R² above 0.95.
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Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.