most citedA new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks

Zhihao Li, Zhenglong Sun, Jionglong SU +1

In recent years, the robotics community has made substantial progress in robotic manipulation using deep reinforcement learning (RL). Effectively learning of long-horizon tasks rem…

q-fin.PM2021

A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management

Huanming Zhang, Zhengyong Jiang, Jionglong Su

With the improvement of computer performance and the development of GPU-accelerated technology, trading with machine learning algorithms has attracted the attention of many researc…

cs.CV2021

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image

Sifan Song, Daiyun Huang, Yalun Hu +6

In medical imaging, chromosome straightening plays a significant role in the pathological study of chromosomes and in the development of cytogenetic maps. Whereas different approac…

q-bio.TO20212 cited

A new parsimonious method for classifying Cancer Tissue-of-Origin Based on DNA Methylation 450K data

Shen Jia, Yulin Zhang, Yiming Mao +6

DNA methylation is a well-studied genetic modification that regulates gene transcription of Eukaryotes. Its alternations have been recognized as a significant component of cancer d…

q-fin.PM2020

Application of Deep Q-Network in Portfolio Management

Ziming Gao, Yuan Gao, Yi Hu +2

Machine Learning algorithms and Neural Networks are widely applied to many different areas such as stock market prediction, face recognition and population analysis. This paper wil…