Comparing Different Resampling Methods in Predicting Students' Performance Using Machine Learning Techniques. - Ramin Ghorbani; Rouzbeh Ghousi (IEEE Access, 2020)

A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset. - Ramin Ghorbani; Rouzbeh Ghousi; Ahmad Makui; Alireza Atashi (IEEE Access, 2020)

A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography. - Morteza Moradi 002; Ramin Ghorbani; Stefano Sfarra; David M. J. Tax; Dimitrios Zarouchas (Sensors, 2022)

Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. - Ramin Ghorbani; Marcel J. T. Reinders; David M. J. Tax (ICMLT, 2023)

PATE: Proximity-Aware Time Series Anomaly Evaluation. - Ramin Ghorbani; Marcel J. T. Reinders; David M. J. Tax (KDD, 2024)

RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection. - Ramin Ghorbani; Marcel J. T. Reinders; David M. J. Tax (MLSP, 2024)

Personalized anomaly detection in PPG data using representation learning and biometric identification. - Ramin Ghorbani; Marcel J. T. Reinders; David M. J. Tax (Biomed. Signal Process. Control., 2024)

The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems? - Maria Tsfasman; Ramin Ghorbani; Catholijn M. Jonker; Bernd Dudzik (CoRR, 2025)