5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
Aydin Abedinia, Shima Tabakhi, Vahid Seydi
Recent advancements in semi-supervised deep learning have introduced effective strategies for leveraging both labeled and unlabeled data to improve classification performance. This…
cs.LG2025
DeepBoost-AF: A Novel Unsupervised Feature Learning and Gradient Boosting Fusion for Robust Atrial Fibrillation Detection in Raw ECG Signals
Alireza Jafari, Fereshteh Yousefirizi, Vahid Seydi
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with elevated health risks, where timely detection is pivotal for mitigating stroke-related morbidity. This st…
cs.CV2022★ 5 cited
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Yeganeh Madadi, Vahid Seydi, Jian Sun +2
Domain adaptation is an attractive approach given the availability of a large amount of labeled data with similar properties but different domains. It is effective in image classif…