Camera-based system for tracking and position estimation of humans. - Robert Hartmann; Fadi Al Machot; Philipp Mahr; Christophe Bobda (DASIP, 2010)

AVSS 2011 demo session: Smart Resource-Aware Multi-Sensor Network. - Fadi Al Machot; Bernhard Dieber; Petra Hossl; Kyandoghere Kyamakya; Sabrina Londero; Christian Micheloni; Paolo Omero; Claudio Piciarelli; Bernhard Rinner; Carlo Tasso; Massimiliano Valotto (AVSS, 2011)

Real time complex event detection for resource-limited multimedia sensor networks. - Fadi Al Machot; Kyandoghere Kyamakya; Bernhard Dieber; Bernhard Rinner (AVSS, 2011)

Smart resource-aware multimedia sensor network for automatic detection of complex events. - Fadi Al Machot; Carlo Tasso; Bernhard Dieber; Kyandoghere Kyamakya; Claudio Piciarelli; Christian Micheloni; Sabrina Londero; Massimiliano Valotto; Paolo Omero; Bernhard Rinner (AVSS, 2011)

Origin-Destination Estimator Based on Hidden Markov Models for Adaptive Traffic Control. - Ahmad Haj Mosa; Fadi Al Machot; Alireza Fasih; Fidaa Al Machot; Kyandoghere Kyamakya (CESCIT, 2012)

Enabling a Driver-Specific "Real-Time Road Safety" Assessment through an "Extended Floating Car Data" and Visualization System. - Kyandoghere Kyamakya; Jean Chamberlain Chedjou; Fadi Al Machot; Alireza Fasih (Autonomous Systems: Developments and Trends, 2012)

A Novel Real-Time Emotion Detection System for Advanced Driver Assistance Systems. - Fadi Al Machot; Ahmad Haj Mosa; Alireza Fasih; Christopher Schwarzlmüller; Mouhanndad Ali; Kyandoghere Kyamakya (Autonomous Systems: Developments and Trends, 2012)

CNN Based High Performance Computing for Real Time Image Processing on GPU. - Sasanka Potluri; Alireza Fasih; Laxminand Kishore Vutukuru; Fadi Al Machot; Kyandoghere Kyamakya (Autonomous Systems: Developments and Trends, 2012)

A Behavior Centered Modeling Tool Based on ADOxx. - Judith Michael; Fadi Al Machot; Heinrich C. Mayr (CAiSE (Forum/Doctoral Consortium), 2014)

Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler. - Fadi Al Machot; Heinrich C. Mayr; Judith Michael (IEA/AIE (2), 2014)

ADOxx based tool support for a behavior centered modeling approach. - Judith Michael; Fadi Al Machot; Heinrich C. Mayr (PETRA, 2015)

HCM-L: Domain-Specific Modeling for Active and Assisted Living. - Heinrich C. Mayr; Fadi Al Machot; Judith Michael; Gert Morak; Suneth Ranasinghe; Vladimir A. Shekhovtsov; Claudia Steinberger (Domain-Specific Conceptual Modeling, 2016)

EEG-based emotion recognition approach for e-healthcare applications. - Mouhannad Ali; Ahmad Haj Mosa; Fadi Al Machot; Kyandoghere Kyamakya (ICUFN, 2016)

A windowing approach for activity recognition in sensor data streams. - Fadi Al Machot; Heinrich C. Mayr; Suneth Ranasinghe (ICUFN, 2016)

Improving Human Activity Recognition by Smart Windowing and Spatio-Temporal Feature Analysis. - Fadi Al Machot; Heinrich C. Mayr (PETRA, 2016)

A novel EEG-based emotion recognition approach for e-healthcare applications. - Mouhannad Ali; Fadi Al Machot; Ahmad Haj Mosa; Kyandoghere Kyamakya (SAC, 2016)

A review on applications of activity recognition systems with regard to performance and evaluation. - Suneth Ranasinghe; Fadi Al Machot; Heinrich C. Mayr (Int. J. Distributed Sens. Networks, 2016)

Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions. - Gabriel Machado Lunardi; Guilherme Medeiros Machado; Fadi Al Machot; Vinícius Maran; Alencar Machado; Heinrich C. Mayr; Vladimir A. Shekhovtsov; José Palazzo M. de Oliveira (AINA, 2018)

Human Activity Recognition based on Real Life Scenarios. - Fadi Al Machot; Suneth Ranasinghe; Johanna Plattner; Nour Jnoub (PerCom Workshops, 2018)

Improving Subject-independent Human Emotion Recognition Using Electrodermal Activity Sensors for Active and Assisted Living. - Fadi Al Machot; Mouhannad Ali; Suneth Ranasinghe; Ahmad Haj Mosa; Kyandoghere Kyamakya (PETRA, 2018)

The HBMS Story - Past and Future of an Active Assistance Approach. - Judith Michael; Claudia Steinberger; Vladimir A. Shekhovtsov; Fadi Al Machot; Suneth Ranasinghe; Gert Morak (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2018)

IoT-based human action prediction and support. - Gabriel Machado Lunardi; Fadi Al Machot; Vladimir A. Shekhovtsov; Vinícius Maran; Guilherme Medeiros Machado; Alencar Machado; Heinrich C. Mayr; José Palazzo M. de Oliveira (Internet Things, 2018)

A Globally Generalized Emotion Recognition System Involving Different Physiological Signals. - Mouhannad Ali; Fadi Al Machot; Ahmad Haj Mosa; Midhat Jdeed; Elyan Al Machot; Kyandoghere Kyamakya (Sensors, 2018)

Activity Recognition in Sensor Data Streams for Active and Assisted Living Environments. - Fadi Al Machot; Ahmad Haj Mosa; Mouhannad Ali; Kyandoghere Kyamakya (IEEE Trans. Circuits Syst. Video Technol., 2018)

Real-time raindrop detection based on cellular neural networks for ADAS. - Fadi Al Machot; Mouhannad Ali; Ahmad Haj Mosa; Christopher Schwarzlmüller; Markus Gutmann; Kyandoghere Kyamakya (J. Real Time Image Process., 2019)

A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors. - Fadi Al Machot; Ali Elmachot; Mouhannad Ali; Elyan Al Machot; Kyandoghere Kyamakya (Sensors, 2019)

Zero-Shot Human Activity Recognition Using Non-Visual Sensors. - Fadi Al Machot; Mohammed R. Elkobaisi; Kyandoghere Kyamakya (Sensors, 2020)

Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. - Venkatachalam Kandasamy; Pavel Trojovský; Fadi Al Machot; Kyandoghere Kyamakya; Nebojsa Bacanin; Sameh S. Askar; Mohamed Abouhawwash (Sensors, 2021)

Intelligent Transportation Related Complex Systems and Sensors. - Kyandoghere Kyamakya; Jean Chamberlain Chedjou; Fadi Al Machot; Ahmad Haj Mosa; Antoine B. Bagula (Sensors, 2021)

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies. - Kyandoghere Kyamakya; Fadi Al Machot; Ahmad Haj Mosa; Hamid Bouchachia; Jean Chamberlain Chedjou; Antoine B. Bagula (Sensors, 2021)

Document-Image Related Visual Sensors and Machine Learning Techniques. - Kyandoghere Kyamakya; Ahmad Haj Mosa; Fadi Al Machot; Jean Chamberlain Chedjou (Sensors, 2021)

Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking. - Rafi Ullah; Sultan Daud Khan; Mohib Ullah; Fadi Al Machot; Habib Ullah (IEEE Access, 2022)

Human emotion modeling (HEM): an interface for IoT systems. - Mohammed R. Elkobaisi; Fadi Al Machot (J. Ambient Intell. Humaniz. Comput., 2022)

HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning. - Fadi Al Machot; Mohib Ullah; Habib Ullah (J. Imaging, 2022)

A comprehensive generalization of a Graph-Attention-Network GAT based system towards real IP analog-mixed-signal AMS schematics structure recognition. - Ali Deeb; Mohamed Salem; Abdalrahman Ibrahim; Witesyavwirwa Vianney Kambale; Joachim Pichler; Fadi Al Machot; Kyandoghere Kyamakya (ICECS, 2023)

Ensemble Transfer Learning for Time Series Forecasting: A Comparative Sensitivity Analysis of Two Shallow Networks. - Witesyavwirwa Vianney Kambale; Ali Deeb; Taha Bernabia; Fadi Al Machot; Kyandoghere Kyamakya (ICECS, 2023)

Transformers in Time Series Forecasting: A brief Analysis of the Autoformer Transfer Learning Performance. - Witesyavwirwa Vianney Kambale; David Krame Kadurha; Ali Deeb; Fadi Al Machot; Taha Bernabia; Kyandoghere Kyamakya (ICECS, 2023)

Deep learning based speech emotion recognition for Parkinson patient. - Habib Khan; Mohib Ullah; Fadi Al Machot; Faouzi Alaya Cheikh; Muhammad Sajjad (Image Processing: Algorithms and Systems, 2023)

An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning. - William Heyden; Habib Ullah; Muhammad Salman Siddiqui; Fadi Al Machot (IEEE Access, 2023)

A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition. - Florenc Demrozi; Cristian Turetta; Fadi Al Machot; Graziano Pravadelli; Philipp H. Kindt (CoRR, 2023)

Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER). - Fadi Al Machot (CoRR, 2023)

A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy. - Ali Deeb; Abdalrahman Ibrahim; Mohamed Salem; Joachim Pichler; Sergii Tkachov; Anjeza Karaj; Fadi Al Machot; Kyandoghere Kyamakya (Sensors, 2023)

An Enhanced Subject-Independent Approach for Hand-Based Micro Activities Recognition. - Florenc Demrozi; Fadi Al Machot (COINS, 2024)

Exploration of Core Concepts Required for Mid- and Domain-level Ontology Development to Facilitate Explainable-AI-readiness of Data and Models. - Martin Thomas Horsch; Silvia Chiacchiera; Ilian T. Todorov; Ana Teresa Correia 001; Aditya Dey; Natalia A. Konchakova; Sebastian Scholze; Simon Stephan; Kristin Tøndel; Arkopaul Sarkar; Mohamed-Hedi Karray; Fadi Al Machot; et al. (DAO-XAI@ECAI, 2024)

Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation. - Martin Thomas Horsch; Dmytro Romanov; Eirik Valseth; Salim Belouettar; Luis Eduardo Cordova-Lopez; Johanna Glutting; Mathijs A. Janssen; Peter Klein 001; Andreas Linhart; Michael A. Seaton; Elin D. Sødahl; Noel Vizcaino; et al. (SeMatS@SEMANTiCS, 2024)

A Graph Attention Network Based System for Robust Analog Circuits' Structure Recognition Involving a Novel Data Augmentation Technique. - Ali Deeb; Mohamed Salem; Abdalrahman Ibrahim; Joachim Pichler; Sergii Tkachov; Anjeza Karaj; Fadi Al Machot; Kyandoghere Kyamakya (IEEE Access, 2024)

Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey. - Mahrin Tasfe; Akm Nivrito; Fadi Al Machot; Mohib Ullah; Habib Ullah (IEEE Access, 2024)

RevCD - Reversed Conditional Diffusion for Generalized Zero-Shot Learning. - William Heyden; Habib Ullah; Muhammad Salman Siddiqui; Fadi Al Machot (CoRR, 2024)

Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach. - Fadi Al Machot; Martin Thomas Horsch; Habib Ullah (CoRR, 2024)

Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet). - Fadi Al Machot; Martin Thomas Horsch; Habib Ullah (CoRR, 2024)

Comprehensive Sensitivity Analysis Framework for Transfer Learning Performance Assessment for Time Series Forecasting: Basic Concepts and Selected Case Studies. - Witesyavwirwa Vianney Kambale; Mohamed Salem; Taha Benarbia; Fadi Al Machot; Kyandoghere Kyamakya (Symmetry, 2024)

Recognizing Hand-Based Micro Activities Using Wrist-Worn Inertial Sensors: A Zero-Shot Learning Approach. - Fadi Al Machot; Habib Ullah; Florenc Demrozi (The Combined Power of Research, Education, and Dissemination, 2025)

Few-Shot Learning for Hand-Based Micro Activity Recognition. - Florenc Demrozi; Fadi Al Machot (COINS, 2025)

SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning. - William Heyden; Habib Ullah; Muhammad Salman Siddiqui; Fadi Al Machot (WACV (Workshops), 2025)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting. - Aditya Dey; Jonas Kusch; Fadi Al Machot (CoRR, 2025)