Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning. - Yildiz Karadayi (AALTD@PKDD/ECML, 2019)

Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy. - Yildiz Karadayi; Mehmet N. Aydin 001; Arif Selçuk Ögrenci (IEEE Access, 2020)

A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data (Uzamsal-zamansal çok boyutlu verilerde denetimsiz anomali tespiti için hibrit derin öğrenme çerçevesi) - Yildiz Karadayi (2020)

On the Use of Predictive Deep Learning Approaches in the Frequency and Uniqueness-Based Representation of Sequential Browsing Events. - Hakan Hakvar; Cansu Cavuldak; Ogulcan Söyler; Yusuf Subasi; Yildiz Karadayi; Ilgin Safak; Nail Tasgetiren; Mehmet S. Aktas (ICCSA (2), 2024)