Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …

Encoding and decoding models are widely used in systems, cognitive, and computational
neuroscience to make sense of brain-activity data. However, the interpretation of their results …

Modern deep neural networks suffer from performance degradation when evaluated on
testing data under different distributions from training data. Domain generalization aims at …

Artificial Intelligence (AI) now enables the mass creation of what have become known as
“deepfakes”: synthetic videos that closely resemble real videos. Integrating theories about …

Rice is one of the most important crops in the world, and most people consume rice as a
staple food, especially in Asian countries. Various rice plant diseases have a negative effect …

The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …

Crop classification in early phenological stages has been a difficult task due to spectrum
similarity of different crops. For this purpose, low altitude platforms such as drones have …

MRI is an advanced imaging modality with the unfortunate disadvantage of long data
acquisition time. To accelerate MR image acquisition while maintaining high image quality …

Machine-learning of atomic-scale properties amounts to extracting correlations between
structure, composition and the quantity that one wants to predict. Representing the input …

In this paper we propose a new dataset distillation method that considers balancing global
structure and local details when distilling the information from a large dataset into a …