Codes supporting "Exploring Chemoinformatics Aspects of Few-shot Meta-learning by Example of Infinite Dilution Activity Coefficient in Ionic Liquids Prediction"
Codes supporting "Exploring Chemoinformatics Aspects of Few-shot Meta-learning by Example of Infinite Dilution Activity Coefficient in Ionic Liquids Prediction"
# Exploring Chemoinformatics Aspects of Few-shot Meta-learning by Example of Infinite Dilution Activity Coefficient in Ionic Liquids Prediction Corresponding author: Karol Baran (GdańskTech), karol.baran[at]pg.edu.pl Manuscript status: submitted (2025) Files and folders: - data - directory with information on data and scripts to scrap data- codes - directory with codes used in the study Authors: Karol Baran, Adam Kloskowski (GdańskTech) 2025 Gdańsk, Poland repository maintained by Karol Baran Acknowledgment: The authors would like to gratefully acknowledge that this research was funded in whole or in part by the National Science Centre, Poland (NCN) under the Preludium 22 program in the years 2024–2027 (project no. UMO-2023/49/N/ST5/01043).
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!