Generative adversarial networks gans

Results 211 to 220 of about 45,910 (264)

The state of modelling face processing in humans with deep learning

British Journal of Psychology, Volume 117, Issue 2, Page 656-676, May 2026.
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

Markov Chain Wave Generative Adversarial Network for Bee Bioacoustic Signal Synthesis. [PDF]

Sensors (Basel)
Samarappuli K +3 more
europepmc +1 more source

Imbalance‐Aware Credit Card Fraud Detection Using Multi‐Autoencoders and Generative Ensemble Learning

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi, Khalid Alahmadi, Xianzhi Wang +2 more
wiley +1 more source

Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large language models. [PDF]

Sci Rep
AlHayan A, Al-Muhtadi J.
europepmc +1 more source

Developing Synthetic Orthopantomogram Datasets Through Generative Models. [PDF]

Int Dent J
Adnan N, Ahmed SMF, Umer F.
europepmc +1 more source

Text-to-image generation with enhanced GANs: Bridging semantic gaps using RNN and CNN. [PDF]