Wadie Skaf

According to our database, Wadie Skaf authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation.

Wadie Skaf, Felix Kern, Aryamaan Basu Roy, Tejas Pradhan, Roman Kalkreuth, Holger H. Hoos

CoRR, January, 2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series.

Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning.

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

Mach. Learn., December, 2025

2022

Matrix Factorization for Cache Optimization in Content Delivery Networks (CDN).

Adolf Kamuzora, Wadie Skaf, Ermiyas Birihanu, Jiyan Salim Mahmud, Péter Kiss, Tamás Jursonovics, Peter Pogrzeba, Imre Lendák, Tomás Horváth

CoRR, 2022

Client Error Clustering Approaches in Content Delivery Networks (CDN).

Ermiyas Birihanu, Jiyan Salim Mahmud, Péter Kiss, Adolf Kamuzora, Wadie Skaf, Tomás Horváth, Tamás Jursonovics, Peter Pogrzeba, Imre Lendák

CoRR, 2022

Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary.

Wadie Skaf, Arzu Tosayeva, Dániel T. Várkonyi

CoRR, 2022

Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary.

Wadie Skaf, Arzu Tosayeva, Dániel T. Várkonyi

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Denoising Architecture for Unsupervised Anomaly Detection in Time-Series.

Wadie Skaf, Tomás Horváth

Proceedings of the New Trends in Database and Information Systems, 2022