In-domain versus out-of-domain transfer learning in plankton image classification

A Maracani, VP Pastore, L Natale, L Rosasco… - Scientific Reports, 2023 - nature.com
Plankton microorganisms play a huge role in the aquatic food web. Recently, it has been
proposed to use plankton as a biosensor, since they can react to even minimal perturbations …

Efficient unsupervised learning of biological images with compressed deep features

VP Pastore, M Ciranni, S Bianco, JC Fung… - Image and Vision …, 2023 - Elsevier
Abstract Machine learning has significantly impacted the analysis of biological images and
is now an important part of many biological data analysis pipelines. A variety of biological …

Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives

T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

[HTML][HTML] Computer vision and deep learning meet plankton: Milestones and future directions

M Ciranni, V Murino, F Odone, VP Pastore - Image and Vision Computing, 2024 - Elsevier
Planktonic organisms play a pivotal role within aquatic ecosystems, serving as the
foundation of the aquatic food chain while also playing a critical role in climate regulation …

Anomaly detection in feature space for detecting changes in phytoplankton populations

M Ciranni, F Odone, VP Pastore - Frontiers in Marine Science, 2024 - frontiersin.org
Plankton organisms are fundamental components of the earth's ecosystem. Zooplankton
feeds on phytoplankton and is predated by fish and other aquatic animals, being at the core …

The response of microalgae and plankton to climate change and human activities

Z Luo, KS Hii, Y Zhuang, HF Mohamed - Frontiers in Marine Science, 2024 - frontiersin.org
This special Research Topic is dedicated to exploring the responses of microalgae and
plankton to climate change and human-induced environmental alterations. Encompassing …

Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design

X Ma, Y Zhang, C Wang, M Wang, M Huang… - ar** approaches
aimed at enhancing the efficiency and precision of image classification in the domain of …

Knowledge Transferability for Data-Efficient Deep Learning

A Maracani - 2024 - tesidottorato.depositolegale.it
Deep Learning has demonstrated remarkable progress in various Computer Vision tasks.
However, its effectiveness often relies on the availability of large, well-annotated datasets. In …