5 citations · 5 across the 2 of their papers we have counts for
4 papers
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent Features
Jianqi Yan, Alex P. Leung, Zhiyuan Pei +2
This work introduces a novel deep learning-based approach for gravitational wave anomaly detection, aiming to overcome the limitations of traditional matched filtering techniques i…
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
Zhiyuan Pei, Jianqi Yan, Jin Yan +5
Recently, deep learning in stock prediction has become an important branch. Image-based methods show potential by capturing complex visual patterns and spatial correlations, offeri…
Modeling the Time Evolution of Compact Binary Systems with Machine Learning
Jianqi Yan, Junjie Luo, Yifan Zeng +4
This work introduces advanced computational techniques for modeling the time evolution of compact binary systems using machine learning. The dynamics of compact binary systems, suc…