Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …

The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …

The emerging field of eXplainable Artificial Intelligence (XAI) aims to bring transparency to
today's powerful but opaque deep learning models. While local XAI methods explain …

The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …

One of the pandemics that have caused many deaths is the Coronavirus disease 2019
(COVID-19). It first appeared in late 2019, and many deaths are increasing day by day until …

Topological deep learning (TDL) is an emerging area that combines the principles of
Topological data analysis (TDA) with deep learning techniques. TDA provides insight into …

Classification models learn to generalize the associations between data samples and their
target classes. However, researchers have increasingly observed that machine learning …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …

Transformer-based language models such as BERT and its variants have found widespread
use in natural language processing (NLP). A common way of using these models is to fine …

Word vector embeddings have been shown to contain and amplify biases in the data they
are extracted from. Consequently, many techniques have been proposed to identify …