Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...

Abstract: Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Abstract: The goal of single domain generalization is to use data from a single domain (source domain) to train a model, which is then deployed over several unknown domains for testing (target domains ...

Unsupervised domain adaptation (UDA) involves learning class semantics from labeled data within a source domain that generalize to an unseen target domain. UDA methods are particularly impactful for ...

First, please organize your datasets following the directory structure of the example dataset. Note that low-dose data is for testing purposes, IPDM training only requires NDCT data and is an ...

Four years on, the latest Range Rover still feels effortlessly modern. Calm design, vast space, and remarkable composure define an SUV that prioritizes ease and refinement over spectacle. The Range ...

Citizens Energy might seize hundreds of homeowners’ properties to serve the LEAP-Lebanon Innovation District, including a data center. It can do this because utility monopolies have a power called ...