PUBLICATIONS
arXiv
Chandler Timm C Doloriel, Habib Ullah, Kristian Hovde Liland, Fadi Al Machot, Ngai-Man Cheung, Towards Sustainable Universal Deepfake Detection with Frequency-Domain Masking, arXiv, 2025.
2025
William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot, SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning, Proceedings of the Winter Conference on Applications of Computer Vision, WACV USA, 2025.
William Heyden, Habib Ullah, Muhammad Salman Siddiqui, Fadi Al Machot, RevCD: Reversed Conditional Diffusion for Generalized Zero-Shot Learning, International Conference on Deep Learning Theory and Applications, DELTA, 2025.
2024
William Heyden, H Ullah, M. Salman Siddiqui, Fadi Al Machot, An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning, IEEE Access, 2023.
MT Horsch, S Chiacchiera, IT Todorov, AT Correia, A Dey, NA Konchakova, S Scholze, S Stephan, K Tøndel, A Sarkar, Exploration of core concepts required for mid-and domain-level ontology development to facilitate explainable-AI-readiness of data and models, ECAI 24 Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2024), Spain, 2024.
Fadi Al Machot, Martin Thomas Horsch, and Habib Ullah, Building trustworthy AI: Transparent AI Systems Via Large Language Models, Ontologies, and Logical Reasoning (TRANSPNET), DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
Fadi Al Machot, Martin Thomas Horsch, and Habib Ullah, Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach, DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
Muhammad Uzair, Zohaib Jan, Sultan Daud Khan, Fadi Al Machot and Habib Ullah, Towards Explainable Ensemble Learning: Adaptive Feature Space Pruning and Optimized Classifier Selection, DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Fadi Al Machot and Habib Ullah, Benchmarking Deep Learning Models for Explainable IoT Intrusion Detection on Diverse Datasets, DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
2023
Taha Benarbia, Kyandoghere Kyamakya, Fadi Al Machot, Witesyavwirwa Vianney Kambale, Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment, Sustainability, 2023.
William Heyden, H Ullah, M. Salman Siddiqui, Fadi Al Machot, An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning, IEEE Access, 2023.
2022
Fadi Al Machot, Mohib Ullah, Habib Ullah, HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning, Journal of Imaging, 2022.
2020
Nour Jnoub, Fadi Al Machot, Wolfgang Klas, A domain-independent classification model for sentiment analysis using neural models, Applied Sciences, 2020.
Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya, Zero-Shot Human Activity Recognition Using Non-Visual Sensors, Sensors, 2020.