1 citations · 1 across the 3 of their papers we have counts for
3 papers
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction
William Hogan, Molly Huang, Yannis Katsis +5
Relation extraction in the biomedical domain is a challenging task due to a lack of labeled data and a long-tail distribution of fact triples. Many works leverage distant supervisi…
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang, Niina Haiminen, Anna-Paola Carrieri +7
Feature selection is indispensable in microbiome data analysis, but it can be particularly challenging as microbiome data sets are high-dimensional, underdetermined, sparse and com…
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery
Canlin Zhang, Chun-Nan Hsu, Yannis Katsis +2
Discovering precise and interpretable rules from knowledge graphs is regarded as an essential challenge, which can improve the performances of many downstream tasks and even provid…