Fine-grained Zero-shot Learning on the large-scale dataset ImageNet21K is an important task that has promising perspectives in many real-world scenarios. One typical solution is to explicitly model ...

We searched PubMed to October 8th, 2024, with no date or language restrictions for publications using the terms ( (“preterm” OR “premature”) AND (“neurodevelopment” OR “neurocognitive”) AND (“cluster ...

Quality learning is the foundation of meaningful education, shaping how students engage with and make sense of what they learn. It is not just about retaining knowledge, it is also about developing ...

The recent success of graph neural networks (GNNs) in the area of pattern recognition (PR) has increased the interest of researchers to use these frameworks in non-euclidean structures. This ...

Background Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute ischemic stroke (AIS). By introducing guidance from ...

FabCon Vienna brings to Austria the smashing success of last year’s Stockholm conference, with a wealth of cutting-edge learning opportunities from the world of data, analytics, and AI. Both Microsoft ...