Fadi Al Machot
Orcid: 0000-0002-1239-9261
According to our database1,
Fadi Al Machot
authored at least 50 papers
between 2010 and 2024.
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Bibliography
2024
Comprehensive Sensitivity Analysis Framework for Transfer Learning Performance Assessment for Time Series Forecasting: Basic Concepts and Selected Case Studies.
Symmetry, February, 2024
CoRR, 2024
Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey.
IEEE Access, 2024
A Graph Attention Network Based System for Robust Analog Circuits' Structure Recognition Involving a Novel Data Augmentation Technique.
IEEE Access, 2024
Battery manufacturing knowledge infrastructure requirements for multicriteria optimization based decision support in design of simulation.
Proceedings of the First International Workshop on Semantic Materials Science: Harnessing the Power of Semantic Web Technologies in Materials Science co-located with the 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024
Exploration of Core Concepts Required for Mid- and Domain-level Ontology Development to Facilitate Explainable-AI-readiness of Data and Models.
Proceedings of the 4th International Workshop on Data meets Ontologies in Explainable AI co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
An Enhanced Subject-Independent Approach for Hand-Based Micro Activities Recognition.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
2023
A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy.
Sensors, March, 2023
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning.
CoRR, 2023
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER).
CoRR, 2023
A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition.
CoRR, 2023
IEEE Access, 2023
Proceedings of the Image Processing: Algorithms and Systems XXI, 2023
Transformers in Time Series Forecasting: A brief Analysis of the Autoformer Transfer Learning Performance.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023
Ensemble Transfer Learning for Time Series Forecasting: A Comparative Sensitivity Analysis of Two Shallow Networks.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023
A comprehensive generalization of a Graph-Attention-Network GAT based system towards real IP analog-mixed-signal AMS schematics structure recognition.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023
2022
HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning.
J. Imaging, 2022
J. Ambient Intell. Humaniz. Comput., 2022
IEEE Access, 2022
2021
Sensors, 2021
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme.
Sensors, 2021
2020
2019
A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors.
Sensors, 2019
J. Real Time Image Process., 2019
2018
Activity Recognition in Sensor Data Streams for Active and Assisted Living Environments.
IEEE Trans. Circuits Syst. Video Technol., 2018
A Globally Generalized Emotion Recognition System Involving Different Physiological Signals.
Sensors, 2018
Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2018
Improving Subject-independent Human Emotion Recognition Using Electrodermal Activity Sensors for Active and Assisted Living.
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018
2016
A review on applications of activity recognition systems with regard to performance and evaluation.
Int. J. Distributed Sens. Networks, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Improving Human Activity Recognition by Smart Windowing and Spatio-Temporal Feature Analysis.
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016
Proceedings of the Domain-Specific Conceptual Modeling, Concepts, Methods and Tools, 2016
2015
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
2014
Proceedings of the Modern Advances in Applied Intelligence, 2014
Proceedings of the Joint Proceedings of the CAiSE 2014 Forum and CAiSE 2014 Doctoral Consortium co-located with the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), 2014
2012
Proceedings of the Autonomous Systems: Developments and Trends, 2012
Proceedings of the Autonomous Systems: Developments and Trends, 2012
Enabling a Driver-Specific "Real-Time Road Safety" Assessment through an "Extended Floating Car Data" and Visualization System.
Proceedings of the Autonomous Systems: Developments and Trends, 2012
Origin-Destination Estimator Based on Hidden Markov Models for Adaptive Traffic Control.
Proceedings of the 1st Conference on Embedded Systems, 2012
2011
Smart resource-aware multimedia sensor network for automatic detection of complex events.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011
2010
Proceedings of the 2010 Conference on Design & Architectures for Signal & Image Processing, 2010