3 papers
cs.LG2026
DADIR: Density-Aware Data-level Imbalanced Regression Framework
Shermin Shahbazi, Hossein Mohammadi, Mohsen Afsharchi
Imbalanced learning addresses predictive modeling problems with underrepresented regions of the data distribution. Although widely studied in classification, imbalanced regression…
cs.LG2026
Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
Shermin Shahbazi, Hossein Mohammadi, Mohsen Afsharchi
Imbalanced learning is a critical challenge in machine learning, where underrepresented target values can bias models and degrade prediction performance on rare but important cases…
cs.LG2025
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers
Shermin Shahbazi, Mohammad-Reza Nasiri, Majid Ramezani
Accurate classification of EEG signals is crucial for brain-computer interfaces (BCIs) and neuroprosthetic applications, yet many existing methods fail to account for the non-Eucli…