Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Impact Statement: Partial label learning (PLL) is important in some applications when there exist some instances with a set of candidate labels. Different from the existing works, this paper considers ...

The growing availability of spatial transcriptomics data offers key resources for annotating ... an attention-based supervised graph learning model designed for cross-slice alignment and efficient ...

Abstract: Label distribution learning (LDL) can more accurately represent the degree of correlation between labels and samples than multi-label learning. However, LDL usually has limited available ...