Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension
Since the early 1990s, ecologists and evolutionary biologists have aggregated primary
research using meta‐analytic methods to understand ecological and evolutionary …
research using meta‐analytic methods to understand ecological and evolutionary …
Interpretable machine learning–a brief history, state-of-the-art and challenges
We present a brief history of the field of interpretable machine learning (IML), give an
overview of state-of-the-art interpretation methods and discuss challenges. Research in IML …
overview of state-of-the-art interpretation methods and discuss challenges. Research in IML …
Prevalence of primary open angle glaucoma in the last 20 years: a meta-analysis and systematic review
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness in the
world and is influenced by various sociodemographic factors. This meta-analysis aims to …
world and is influenced by various sociodemographic factors. This meta-analysis aims to …
Misinformation in and about science
Humans learn about the world by collectively acquiring information, filtering it, and sharing
what we know. Misinformation undermines this process. The repercussions are extensive …
what we know. Misinformation undermines this process. The repercussions are extensive …
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
One of the most promising applications of machine learning in computational physics is to
accelerate the solution of partial differential equations (PDEs). The key objective of machine …
accelerate the solution of partial differential equations (PDEs). The key objective of machine …
The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment
Abstract Objective Coronavirus disease 2019 (COVID-19) poses societal challenges that
require expeditious data and knowledge sharing. Though organizational clinical data are …
require expeditious data and knowledge sharing. Though organizational clinical data are …
Dos and don'ts of machine learning in computer security
With the growing processing power of computing systems and the increasing availability of
massive datasets, machine learning algorithms have led to major breakthroughs in many …
massive datasets, machine learning algorithms have led to major breakthroughs in many …
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal
Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve …
Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve …
[HTML][HTML] Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0
Improving the reproducibility of biomedical research is a major challenge. Transparent and
accurate reporting is vital to this process; it allows readers to assess the reliability of the …
accurate reporting is vital to this process; it allows readers to assess the reliability of the …