In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

Our fast-paced digital economy shaped by global competition requires increased data-
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …

Optimal performance is desired for decision-making in any field with binary classifiers and
diagnostic tests, however common performance measures lack depth in information. The …

Artificial intelligence (AI) and machine learning, a subset of AI, are increasingly used in
medicine. AI excels at performing well-defined tasks, such as image recognition; for …

Drug-like compounds are most of the time denied approval and use owing to the
unexpected clinical side effects and cross-reactivity observed during clinical trials. These …

The realization that AI-driven decision-making is indispensable in today's fast-paced and
ultra-competitive marketplace has raised interest in industrial machine learning (ML) …

Evaluating the performance of machine learning models on diverse and underrepresented
subgroups is essential for ensuring fairness and reliability in real-world applications …

Simple Summary Machine learning (ML) offers new approaches for analyzing data and is
particularly interesting for large datasets. Dairy farmers implement a wide range of sensors …

Delay-based reservoir computing has gained a lot of attention due to the relative simplicity
with which this concept can be implemented in hardware. However, unnecessary constraints …