Fadi Al Machot’s international paper presentations and workshop contributions alongside full citations.
CONFERENCES
2025
Florenc Demrozi and Fadi Al Machot, Few-Shot Learning for Hand-Based Micro Activity Recognition, in 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS), IEEE, 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.
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.
2024
Florenc Demrozi, Fadi Al Machot, An Enhanced Subject-Independent Approach for Hand-Based Micro Activities Recognition, 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, 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.
Fadi Al Machot. Bridging logic and learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER), DCLXVI International Workshop, Kaiserslautern, Germany ,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.
Martin Thomas Horsch, Fadi Al Machot, and Jadran Vrabec, Scope of Pysics-Based Simulation Artefacts, DCLXVI International Workshop, Kaiserslautern, Germany ,2024.
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.
MT Horsch, D Romanov, E Valseth, S Belouettar, LE Córdova López, J Glutting, MA Janssen, P Klein, A Linhart, MA Seaton, Battery manufacturing knowledge infrastructure requirements for multicriteria optimization-based decision support in design of simulation, International Workshop on Semantic Materials Science (SeMatS 2024), Amsterdam, Netherlands, September 17-19, 2024, Proc. SeMatS, 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 (IST-Africa), Tshwane, South Africa, 2023.
2018
Gabriel Machado Lunardi, Guilherme Medeiros Machado, Fadi Al Machot, Vinícius Maran, Alencar Machado, Heinrich Mayr, Vladimir Shekhovtsov, José Palazzo, Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions, 32nd International Conference on Advanced Information Networking and Applications, 2018.
Fadi Al Machot, Mouhannad Ali, Suneth Ranasinghe, Ahmad Haj Mosa, and Kyandoghere Kyamakya, Improving Subject-independent Human Emotion Recognition Using Electrodermal Activity Sensors for Active and Assisted Living, 11th ACM International Conference on PErvasive Technologies Related to Assistive Environments., 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.
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.
Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Kyandoghere Kyamakya, CNN based Subject-independent Driver Emotion Recognition System involving Physiological Signals for ADAS, 20th International Forum on Advanced Microsystems for Automotive Applications, AMAA 2016.
Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya, EEG-Based Emotion Recognition Approach for E-healthcare Applications, 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.
Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Kyandoghere Kyamakya, A novel EEG-based emotion recognition approach for e-healthcare applications, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp 162-164, ACM, 2016.
2015
Judith Michael, Fadi Al Machot, and Heinrich C. Mayr: ADOxx based tool support for a behavior-centered modeling approach, Proc. 8th ACM Int. Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2015.
Ahmad Haj Mosa, Kyandoghere Kyamakya, Mouhannad Ali, Fadi Al Machot, and Jean Chamberlain Chedjou, Neurocomputing-based Matrix Inversion Involving Cellular Neural Networks: Blackbox Training Concept. Autonomous Systems, 2015.
2014
Fadi Al Machot, Heinrich C. Mayr and Judith Michael: Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler. In: Modern Advances in Applied Intelligence; Proc. 27th Int. Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer LNAI Vol. 8482, pp. 388-397, 2014.
Judith Michael, Fadi Al Machot, and Heinrich C. Mayr: A Behavior Centered Modeling Tool Based on ADOxx, Joint Proceedings of the CAiSE Forum and CAiSE Doctoral Consortium, CEUR Workshop Proceedings, Aachen, 2014.
Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Patrik Grausberg, Nkiediel Alain Akwir, Baraka Olivier Mushage, and Kyandoghere Kyamakya: A Review of Object Classification for Video Surveillance Systems, Proceedings of the 7th GI Workshop Autonomous Systems, 2014.
Ahmad Haj Mosa, Mouhannad Ali, Fadi Al Machot, and Kyandoghere Kyamakya: A Computerized Method to Diagnose Strabismus. Herwig Unger, Wolfgang A. Halang.: Proc. 7th GI Workshop Autonomous Systems 2014, Düsseldorf, 2014.
2011
Fadi Al Machot, Kyandoghere Kyamakya, Bernhard Dieber, and Bernhard Rinner: Real-Time Complex Event Detection for Resource-Limited Multimedia Sensor Networks, Proc. 8th IEEE Int. Conference Advanced Video and Signal-Based Surveillance (AVSS), 2011.
Fadi Al Machot, C. Tasso, Bernhard Dieber, Kyandoghere Kyamakya, Claudio Piciarelli, Christian Micheloni, S. Londero, M. Valotto, P. Omero, and Bernhard Rinner: Smart Resource-aware Multimedia Sensor Network for Automatic Detection of Complex Events. Proc. 8th IEEE Int. Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011.
Fadi Al Machot, Ahmad Haj Mosa, Kosai Dabbour, Alireza Fasih, and Christopher Schwarzlmüller: A Novel Real-Time Emotion Detection System from Audio Streams Based on Bayesian Quadratic Discriminate Classifier for ADAS. Proceedings of the Joint INDS'11 & ISTET'11, Aachen, 2011.
Christopher Schwarzlmüller, Fadi Al Machot, Kyandoghere Kyamakya, and Alireza Fasih, Adaptive Contrast Enhancement Involving CNN-based Processing for Foggy Weather Conditions & Non-Uniform Lighting Conditions, Proc. Joint INDS'11 & ISTET'11, 2011.
Sasanka Potluri, Alireza Fasih, L.K. Vutukuru, Fadi Al Machot, and Kyandoghere Kyamakya: CNN Based High-Performance Computing for Real-Time Image Processing on GPU. Proc. Joint INDS'11 & ISTET'11, 2011.
A. Kolli, Alireza Fasih, Fadi Al Machot, and Kyandoghere Kyamakya: Non-intrusive Car Driver's Emotion Recognition Using Thermal Camera. Proc. Joint INDS'11 & ISTET'11, 2011.
Fadi Al Machot, and Kyandoghere Kyamakya: Decision Support Systems based on Answer Set Programming, Lasko Workshop 2011 - Autonomous Systems, University of Maribor, 2011.
2010
Robert Hartmann, Fadi Al Machot, Philipp Mahr, and Christopher Bobda: Camera-Based System for Tracking and Position Estimation of Humans, IEEE Conference on Design & Architectures for Signal & Image Processing (DASIP), Edinburgh University Press, 2010.