Forget the glorious successes of past breakthroughs—the real justification for research investment is what we get for our ...

The authors propose a formal mathematical measure to assess the versatility (simplicity and adaptability) of parametric frequency and severity ...

Artificial intelligence may well save us time by finding information faster, but it is not always a reliable researcher. It ...

Measuring awareness, consideration, conversion, and loyalty reveals how brand marketing drives real business outcomes.

A collaborative multidisciplinary team that includes Northwestern’s Kristi Holmes, PhD has been named an NIH S-index ...

Objective Patient engagement (PE), or a patient’s participation in their healthcare, is an important component of comprehensive healthcare delivery, yet there is not an existing, publicly available, ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

A practical guide to integrating AI into internal auditing, covering its applications in risk assessment, fieldwork, reporting, and continuous monitoring for ...

Abstract: Open-set Semi-supervised Learning (OSSL) holds a realistic setting that unlabeled data may come from classes unseen in the labeled set, i.e., out-of-distribution (OOD) data, which could ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

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