The accumulation of large datasets and increasing data availability have led to the
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …

Paleontologists generally use a low-cost electro-optical system to classify microfossils. This
manual identification is a time-consuming process and it may take about a long time …

In the realm of biological image analysis, deep learning (DL) has become a core toolkit, for
example for segmentation and classification. However, conventional DL methods are …

Visual as well as genetic biometrics are routinely employed to identify species and
individuals in biological applications. However, no attempts have been made in this domain …

The development of deep learning methods using convolutional neural networks (CNNs)
has revolutionised the field of computer vision in recent years. The automation of taxonomic …

Understanding ancient organisms and their paleo-environments through the study of body
fossils represents a central tenet of paleontology. Advances in digital image capture over the …

Over the several past decades, there has been increasing interest in using foraminifera as
environmental indicators for coastal marine environments. As compared to macrofauna …

La vita caratterizza la Terra e la caratteristica più straordinaria della vita è proprio la
diversità. Nel 1753, Carlo Linneo introdusse il sistema di nomenclatura binomiale e da lì ad …