A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Abstract: Feature subset selection is an important preprocessing step for pattern recognition, to discard irrelevant and redundant information, as well as to identify the most important attributes. In ...
Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...
UniversalEPI is an attention-based deep ensemble designed to predict enhancer-promoter interactions up to 2 Mb, which can generalize across unseen cell types using only DNA sequence and chromatin ...
Abstract: Selecting a compact and relevant feature subset for hybrid decision systems is a key task in decision-making. Fuzzy rough set (FRS) is an effective method for this purpose, but its space ...
Although metagenomic sequencing is now the preferred technique to study microbiome-host interactions, analyzing and interpreting microbiome sequencing data presents challenges primarily attributed to ...
1 College of Information Science and Technology, Jinan University, Guangzhou, China. 2 University of Birmingham Joint Institute, Jinan University, Guangzhou, China. Text classification is an essential ...
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