Publications
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.
2024
Fadi Al Machot, Habib Ullah, Florenc Demrozi, Recognizing hand-based micro activities using wrist-worn inertial sensors: a zero-shot learning approach, The Combined Power of Research, Education, and Dissemination: Essays Dedicated to Tiziana Margaria on the Occasion of Her 60th Birthday, Lecture Notes in Computer Science (LNCS), Springer, 2024.
Ole Gilje Gunnarshaug, Fadi Al Machot, ECG-Based Human Emotion Recognition Using Generative Models, Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support, Springer, Studies in Computational Intelligence, 2024.
Mohammed R Elkobaisi, Fadi Al Machot, An Interactive Metamodel Integration Approach (IMIA) for Active and Assisted Living Systems, Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support, Springer, Studies in Computational Intelligence, 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.
2023
Habib Khan, Mohib Ullah, Fadi Al-Machot, Faouzi Alaya Cheikh, Muhammad Sajjad, Deep learning based speech emotion recognition for Parkinson patient, Electronic Imaging, Society for Imaging Science and Technology, 2023.
2022
Mohammed R. Elkobaisi, Fadi Al Machot, Heinrich C. Mayr, Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and Systems, SN Computer Science, Springer, 2022.
2021
Mohammed R. Elkobaisi, Fadi Al Machot, Human emotion modeling (HEM): an interface for IoT systems, Journal of Ambient Intelligence and Humanized Computing, Springer, 2021.
2018
Judith Michael, Claudia Steinberger, Volodymyr Shekhovtsov, Fadi Al Machot, Suneth Ranasinghe, Gert Morak, The HBMS Story, Past and Future of an Active Assistance Approach, International Journal for Conceptual Modeling, German Informatics Society (GI), 2018.
Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Midhat Jdeed, Elyan Al Machot Kyandoghere Kyamakya, A Globally Generalized Emotion Recognition System Involving Different Physiological Signals, Sensors, 2018.
Fadi Al Machot, Heinrich C. Mayr and Suneth Ranasinghe, A Hybrid Reasoning Approach for Activity Recognition based on Answer Set Programming and Dempster-Shafer Theory, Recent Advances in Nonlinear Dynamics and Synchronization, Studies in Systems, Decision, and Control, Springer, 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.
Gabriel Machado Lunardi, Fadi Al Machot, Guilherme Medeiros Machado, Vincius Maran, Alencar Machado, Heinrich Mayr, Vladimir Shekhovtsov, Jose Palazzo, IoT-based Human Action Prediction, Internet of Things, Elsevier, 2018.
2017
Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya, Emotion Recognition Involving Physiological and Speech Signals: A Comprehensive Review, Advances in Computational Intelligence, Springer, 2017.
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.
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.
Fadi Al Machot, Heinrich C. Mayr, Judith Michael, Gert Morak, Suneth Ranasinghe, Vladimir Shekhovtsov und Claudia Steinberger, HCM-L: Domain-Specific Modeling for Active and Assisted Living, Domain-Specific Conceptual Modeling Concepts, Methods and Tools, Springer, 2016.
Suneth Ranasinghe, Fadi Al Machot, Heinrich C. Mayr, A Review on Applications of Activity Recognition Systems with Regard to Performance and Evaluation, International Journal of Distributed Sensor Networks (IJDSN), 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.
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.
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, 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.
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, Kyandoghere Kyamakya, Real-Time Complex Event Detection Based on Answer Set Programming, ISAST Transactions on Computers and Intelligent Systems, University of Jyväskylä, 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.