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 …
Y Yao, Y Pan, J Li, IW Tsang, X Yao - Machine Learning, 2024 - Springer
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 …
S Abrar, A Sekmen, MD Samad - 2023 15th International …, 2023 - ieeexplore.ieee.org
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 …
AM Buch, C Liston, L Grosenick - Proceedings of machine learning …, 2024 - ncbi.nlm.nih.gov
AI-enabled precision medicine promises a transformational improvement in healthcare outcomes. However, training on biomedical data presents significant challenges as they are …
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 …