Ramin Ghorbani

RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection

2024

Anomaly detection in time series data is crucial across various domains. The scarcity of labeled data for such tasks has increased the attention towards unsupervised learning methods. These approaches, often relying solely on reconstruction error, …

Evolutionary Approach to GAN Hyperparameter Tuning: Minimizing Discriminator and Generator Loss Functions

2024

Image Reconstruction has always been among machine vision's challenging topics. One of image restoration's most challenging is to fill the damaged area after deleting, it in a visually acceptable way. The beginning of image reconstruction …