5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su, Difan Zou, Zijun Zhang +1
Incremental learning is a machine learning approach that involves training a model on a sequence of tasks, rather than all tasks at once. This ability to learn incrementally from a…
cs.LG2023★ 5 cited
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
Christian Pedersen, Tiberiu Tesileanu, Tinghui Wu +4
In Elmarakeby et al., "Biologically informed deep neural network for prostate cancer discovery", a feedforward neural network with biologically informed, sparse connections (P-NET)…
cs.LG2023★ 1 cited
Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting
Luoxiao Yang, Xinqi Fan, Zijun Zhang
Time series forecasting (TSF) has been a challenging research area, and various models have been developed to address this task. However, almost all these models are trained with n…