Functional connectivity (FC) between regions of the brain can be assessed by the degree of
temporal correlation measured with functional neuroimaging modalities. Based on the fact …

Brain age estimation is clinically important as it can provide valuable information in the
context of neurodegenerative diseases such as Alzheimer's. Population graphs, which …

Brain network interactions are commonly assessed via functional (network) connectivity,
captured as an undirected matrix of Pearson correlation coefficients. Functional connectivity …

Pre-training has shown success in different areas of machine learning, such as Computer
Vision, Natural Language Processing (NLP), and medical imaging. However, it has not been …

Heart failure has become a huge public health problem, and failure to accurately predict
readmission will further lead to the disease's high cost and high mortality. The construction …

Fault diagnosis is critical in maintaining the operational stability and reliability of Heating,
Ventilation, and Air Conditioning (HVAC) systems, which are crucial for ensuring indoor …

Deep learning models can perform as well or better than humans in many tasks, especially
vision related. Almost exclusively, these models are used to perform classification or …

Product development is the process of creating and bringing a new or improved product to
market. Formulation trials constitute a crucial stage in product development, often involving …

Pre-training has shown success in different areas of machine learning, such as Computer
Vision (CV), Natural Language Processing (NLP) and medical imaging. However, it has not …

The integration of location-based social networks and POI recommendation systems has the
potential to enhance the urban experience by facilitating the exploration of new and relevant …