Through the extensive study of transformers, attention mechanisms have emerged as
potentially more powerful than sequential recurrent processing and convolution. In this …

We propose an innovative framework for assessing the probability that a subject drawing is
the work of a particular artist. While numerous efforts have applied neural networks to …

The characterization of a painter's style is useful for a series of applications, such as
documenting art history, planning style-aware conservation and restoration, and discarding …

This study aims to analyze Kandinsky's The Last Judgment painting and compare it with
Michelangelo's The Last Judgment to show that Michelangelo's work influenced Kandinsky's …

With the massive digitalization of artworks and the increasing availability of open access
online sources, researchers can thoroughly investigate the history of art and the evolution of …

The identification of the artist of a painting is also known as art authentication, and the
answer to this question is manifest through art gallery exhibition and is reinforced through …

From ancient ages, artworks have been the object of research in artist identification. Expert
art historians primarily handle this issue manually. But an automatic artist recognition system …

Empirical research in science and the humanities is vulnerable to bias which, by definition,
implies incorrect or misleading findings. Artificial intelligence-based analysis of visual …

With the digitization of paintings and creation of vast online libraries containing paintings of
different painters the classification of paintings has never been more important than now. To …

For many decades the activity of identifying the artists of previously unseen paintings has
belonged to art historians. Recently, through technological developments, more and more …