Advances in machine learning (ML) techniques and computational capacity have yielded
state‐of‐the‐art methodologies for processing, sorting, and analyzing large seismic data …

Abstract Objective Function Mismatch (OFM) occurs when the optimization of one objective
has a negative impact on the optimization of another objective. In this work we study OFM in …

Differential sensing is a technique that uses an array of cross‐reactive receptors to create a
unique fingerprint to detect analytes. Over the past two decades significant progress in the …

Real-world datasets inevitably contain biases that arise from different sources or conditions
during data collection. Consequently, such inconsistency itself acts as a confounding factor …

Deep learning methods are commonly benchmarked on image data sets, which may not be
suitable or effective baselines for non-image tabular data. In this paper, we take a data …

The design of commercial air transportation vehicles heavily relies on understanding and
modeling fluid flows, which pose computational challenges due to their complexity and high …

The development of semi-supervised learning (SSL) has in recent years largely focused on
the development of new consistency regularization or entropy minimization approaches …

AI-enabled precision medicine promises a transformational improvement in healthcare
outcomes. However, training on biomedical data presents significant challenges as they are …

针对原始深度嵌入聚类(DEC) 算法中聚类层得出的初始聚类数目和聚类中心有很强的随机性,
从而影响DEC 算法效果的问题, 提出一种基于改进DEC 的评论文本聚类算法 …

Metastatic prostate cancer images contain rich and complex information about cellular
features. However, due to high level patho-genomic diversity and lack of clinically-validated …