PUBLICATIONS
2025
Aditya Dey, Jonas Kusch, and Fadi Al Machot, CLAW: Complex Low-rank and Wavelet Transform for Univariate Long-term Time Series Forecasting, in Proceedings of the 3rd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA 2025), 2025.
Aditya Dey, Jonas Kusch, and Fadi Al Machot, HADL: A Haar-DCT and Low-Rank Framework for Noise-Resilient Long-Term Time Series Forecasting, in Proceedings of the International Conference on Time Series and Forecasting (ITISE 2025), 2025.
Liyanapathiranage Sudeepika Wajirakumari Samarathunga, Aditya Dey, Martin Thomas Horsch, and Fadi Al Machot, Lightweight and Resource-Efficient Battery Degradation Prediction Using Teacher-Informed Cellular Neural Networks (TICeNN), in Proceedings of the 3rd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA 2025), 2025.
2024
Hussein Ahmad Ahmad, Seyyed Kasra Mortazavi, Mohamed El Bahnasawi, Fadi Al Machot, Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya, Enhanced Time Series Forecasting: Integrating PatchTST with BERT Layers, IEEE International Conference on Applied Mathematics & Computer Science (ICAMCS), 2024.
Witesyavwirwa Vianney Kambale, Mohamed Salem, Taha Benarbia, Fadi Al Machot, Kyandoghere Kyamakya, A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy, Symmetry, 2024.
2023
Witesyavwirwa Vianney Kambale, Kyandoghere Kyamakya, Fadi Al Machot, Taha Benarbia, Sensitivity Analysis for an Ensemble Transfer Learning scheme for Time Series Forecasting – Case-Study of a Shallow Neural Network Architecture, 2023 IST-Africa Conference, 2023.
2018
Fadi Al Machot, Suneth Ranasinghe, Johanna Plattner, and Nour Jnoub, Human Activity Recognition based on Real Life Scenarios, CoMoRea 2018, Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), 2018.
2017
Fadi Al Machot, Ahmad Haj Mosa, Mouhannad Ali and Kyandoghere Kyamakya, Activity Recognition in Sensor Data Streams for Active and Assisted Living Environments, IEEE Transactions on Circuits and Systems for Video Technology, 2017.
2016
Fadi Al Machot, Heinrich C. Mayr and Suneth Ranasinghe, A Windowing Approach for Activity Recognition in Sensor Data Streams, Proc. 8th IEEE Int. Conf. on Ubiquitous and Future Networks ICUFN, Vienna, 2016.
Fadi Al Machot, and Heinrich C. Mayr, Improving Human Activity Recognition by Smart Windowing and Spatio-Temporal Feature Analysis, Proc. 9th ACM Int. Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2016.