3 citations · 6 across the 5 of their papers we have counts for
5 papers
The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?
Maria Tsfasman, Ramin Ghorbani, Catholijn M. Jonker +1
Humans have a selective memory, remembering relevant episodes and forgetting the less relevant information. Possessing awareness of event memorability for a user could help intelli…
PATE: Proximity-Aware Time series anomaly Evaluation
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Evaluating anomaly detection algorithms in time series data is critical as inaccuracies can lead to flawed decision-making in various domains where real-time analytics and data-dri…
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
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 metho…
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions t…
Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
With the progress of sensor technology in wearables, the collection and analysis of PPG signals are gaining more interest. Using Machine Learning, the cardiac rhythm corresponding…