Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
Protocol Reverse Engineering (PRE) is used to analyze protocols by inferring their structure and b...
Recent text-to-image diffusion models leverage cross-attention layers, which have been effectively...
This study aims to place Lorenzo Magnanis Eco-Cognitive Computationalism within the broader contex...
Radiology reporting generative AI holds significant potential to alleviate clinical workloads and ...
Optical data center networks (DCNs) are renovating the infrastructure design for the cloud in the ...
In the medical field, the limited availability of large-scale datasets and labor-intensive annotat...
Understanding neurological disorder is a fundamental problem in neuroscience, which often requires...
Automatic Medical Imaging Narrative generation aims to alleviate the workload of radiologists by p...
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often...
Accurate prediction of temporal QoS is crucial for maintaining service reliability and enhancing u...
Predicting the strength of promoters and guiding their directed evolution is a crucial task in synth...
Traffic allocation is a process of redistributing natural traffic to products by adjusting their p...
EEG-based detection of major depression disorder (MDD) plays a pivotal role in the subsequent treatm...
LLMs have achieved significant performance progress in various NLP applications. However, LLMs sti...
As the demand for more personalized recommendation grows and a dramatic boom in commercial scenari...
Federated Knowledge Graph Embedding (FKGE) has recently garnered considerable interest due to its ...
Existing works based on molecular knowledge neglect the 3D geometric structure of molecules and fa...
Accurate prediction of protein-ligand binding affinity (PLA) is important for drug discovery. Recent...
Deep feedforward and recurrent neural networks have become successful functional models of the brain...
In the drug discovery process, time and costs are the most typical problems resulting from the exper...
An automatic recognizing system of white blood cells can assist hematologists in the diagnosis of ma...