Fadi Al Machot

Orcid: 0000-0002-1239-9261

According to our database1, Fadi Al Machot authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

RevCD - Reversed Conditional Diffusion for Generalized Zero-Shot Learning.
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

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

An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning.
IEEE Access, 2023

Deep learning based speech emotion recognition for Parkinson patient.
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

Human emotion modeling (HEM): an interface for IoT systems.
J. Ambient Intell. Humaniz. Comput., 2022

Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking.
IEEE Access, 2022

2021
Document-Image Related Visual Sensors and Machine Learning Techniques.
Sensors, 2021

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies.
Sensors, 2021

Intelligent Transportation Related Complex Systems and Sensors.
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
Zero-Shot Human Activity Recognition Using Non-Visual Sensors.
Sensors, 2020

2019
A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors.
Sensors, 2019

Real-time raindrop detection based on cellular neural networks for ADAS.
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

IoT-based human action prediction and support.
Internet Things, 2018

The HBMS Story - Past and Future of an Active Assistance Approach.
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

Human Activity Recognition based on Real Life Scenarios.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions.
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

A novel EEG-based emotion recognition approach for e-healthcare applications.
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

A windowing approach for activity recognition in sensor data streams.
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

EEG-based emotion recognition approach for e-healthcare applications.
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

HCM-L: Domain-Specific Modeling for Active and Assisted Living.
Proceedings of the Domain-Specific Conceptual Modeling, Concepts, Methods and Tools, 2016

2015
ADOxx based tool support for a behavior centered modeling approach.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

2014
Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler.
Proceedings of the Modern Advances in Applied Intelligence, 2014

A Behavior Centered Modeling Tool Based on ADOxx.
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
CNN Based High Performance Computing for Real Time Image Processing on GPU.
Proceedings of the Autonomous Systems: Developments and Trends, 2012

A Novel Real-Time Emotion Detection System for Advanced Driver Assistance Systems.
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

Real time complex event detection for resource-limited multimedia sensor networks.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

AVSS 2011 demo session: Smart Resource-Aware Multi-Sensor Network.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010
Camera-based system for tracking and position estimation of humans.
Proceedings of the 2010 Conference on Design & Architectures for Signal & Image Processing, 2010


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