By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

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 …

In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …

Sound events often occur in unstructured environments where they exhibit wide variations in
their frequency content and temporal structure. Convolutional neural networks (CNNs) are …

DCASE 2017 Challenge consists of four tasks: acoustic scene classification, detection of
rare sound events, sound event detection in real-life audio, and large-scale weakly …

We introduce TUT Acoustic Scenes 2016 database for environmental sound research,
consisting of binaural recordings from 15 different acoustic environments. A subset of this …

Vaccine hesitancy is currently recognized by the WHO as a major threat to global health.
Recently, especially during the COVID-19 pandemic, there has been a growing interest in …

In this article, we present a novel approach for parsing argumentation structures. We identify
argument components using sequence labeling at the token level and apply a new joint …

Background Wearable and mobile devices that capture multimodal data have the potential
to identify risk factors for high stress and poor mental health and to provide information to …