ABSTRACT: Cross-Site Scripting (XSS) remains a widespread and damaging threats to web applications, as highlighted by the OWASP Top 10. While various detection methods exist, they often struggle to ...

Normalization can standardize and improve machine learning (ML) performance on omics data. However, it is unclear whether normalization is associated with overfitting (i.e., worse cross-dataset ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

"Reading Data" is a series on Python and machine learning for clinicians and medical researchers. We start by acquiring programming skills to sharpen our ability to "read and interpret" our own data.

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

Abstract: Extreme learning machine (ELM) is suitable for nonlinear soft sensor development. Yet it faces an overfitting problem. To overcome it, this work integrates bound optimization theory with ...

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

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