A fault classification scheme based on protective agents for microgrid with parameters impact analysis. [PDF]
Sci RepEsmaeilbeigi S +2 more
europepmc +1 more source
The state of modelling face processing in humans with deep learning
British Journal of Psychology, EarlyView.Abstract Deep learning models trained for facial recognition now surpass the highest performing human participants. Recent evidence suggests that they also model some qualitative aspects of face processing in humans. This review compares the current understanding of deep learning models with psychological models of the face processing system ...
P. Jonathon Phillips, David White
wiley +1 more source
A deep neural network-based green space design optimization framework for smart cities. [PDF]
Sci RepWang S, Zhang Y.
europepmc +1 more source
Network medicine and systems pharmacology approaches to predicting adverse drug effects
British Journal of Pharmacology, EarlyView.Identifying and understanding the relationships between drug intake and adverse effects that can occur due to inadvertent molecular interactions between drugs and targets is a difficult task, especially considering the numerous variables that can influence the onset of such events.
Alessio Funari +2 more
wiley +1 more source
Genetic risk predictions using deep learning models with summary data. [PDF]
Front BioinformWang A, Xiao E, Cheng J, Shen X.
europepmc +1 more source
Journal of Microscopy, EarlyView.Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]
Sci RepYang T, Sun J.
europepmc +1 more source
Journal of Neuropsychology, EarlyView.Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola +3 more
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Mathematical modeling and neural network based fitting of HIV/AIDS data in the workingclass population case study from Ethiopia. [PDF]
Sci RepSado AE, Duressa GF, Deressa CT.
europepmc +1 more source