Earth observation (EO) is increasingly used for map** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …

Freshwater ecosystems are sensitive to disturbances related to human activities, such as
climate and land-use changes. To predict and understand the potential impacts of these …

Learning curves are a concept from social sciences that has been adopted in the context of
machine learning to assess the performance of a learning algorithm with respect to a certain …

Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …

Abstract We introduce Meta-Album, an image classification meta-dataset designed to
facilitate few-shot learning, transfer learning, meta-learning, among other tasks. It includes …

Introduction Science educators use writing assignments to assess competencies and
facilitate learning processes such as conceptual understanding or reflective thinking. Writing …

Deep reinforcement learning has shown remarkable success in the past few years. Highly
complex sequential decision making problems from game playing and robotics have been …

Recent technological advances have led to an exponential expansion of biological
sequence data and extraction of meaningful information through Machine Learning (ML) …

As restricted quantum computers become available, research focuses on finding meaningful
applications. For example, in quantum machine learning, a special type of quantum circuit …

Toxicological information as needed for risk assessments of chemical compounds is often
sparse. Unfortunately, gathering new toxicological information experimentally often involves …