74 citations · 76 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 74 cited
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction
Kaiwen Tan, Weixian Huang, Xiaofeng Liu +2
Morphological attributes from histopathological images and molecular profiles from genomic data are important information to drive diagnosis, prognosis, and therapy of cancers. By…
cs.LG2021★ 2 cited
AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong, Jie Yang, Yacong Ma +2
The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by con…
cs.IR2018
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems
Junjie Liang, Jinlong Hu, Shoubin Dong +1
We propose Top-N-Rank, a novel family of list-wise Learning-to-Rank models for reliably recommending the N top-ranked items. The proposed models optimize a variant of the widely us…