Computational neuroscience is the theoretical study of the brain to uncover the principles
and mechanisms that guide the development, organization, information processing, and …

Background Plankton are foundational to marine food webs and an important feature for
characterizing ocean health. Recent developments in quantitative imaging devices provide in-…

Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective
biological markers, such as those based on brain imaging, could aid in clinical management …

Interest in machine learning is exploding worldwide, both in research and for industrial
applications. Machine learning is fast becoming a fundamental part of everyday life. This book is …

Significant advances in cognitive neuroscience can be achieved by combining techniques
used to measure behavior and brain activity with neural modeling. Here we apply this …

In this paper we give a systematic analysis of the relationship between imbalance and overlap
as factors influencing classifier performance. We demonstrate that these two factors have …

Lesion border detection is considered a crucial step in diagnosing skin cancer. However,
performing such a task automatically is challenging due to the low contrast between the …

We describe our methods that achieved the 3rd and 4th places in tasks 1 and 2, respectively,
at ISIC challenge 2019. The goal of this challenge is to provide the diagnostic for skin …

Computer-aided skin cancer detection systems built with deep neural networks yield
overconfident predictions on out-of-distribution examples. Motivated by the importance of out-of-…

Objective Promptly establishing maintenance therapy could reduce morbidity and mortality
in patients with bipolar disorder. Using a machine learning approach, we sought to evaluate …