Mohamad Baydoun

According to our database1, Mohamad Baydoun authored at least 21 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents.
IEEE Trans. Multim., 2022

2021
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Learning probabilistic interaction models.
PhD thesis, 2020

Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions.
IEEE Trans. Intell. Transp. Syst., 2020

Smart Jammer Detection for Self-Aware Cognitive UAV Radios.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders.
Proceedings of the IEEE International Conference on Image Processing, 2020

Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios.
Proceedings of the IEEE Global Communications Conference, 2020

Anomaly Detection in Video Data Based on Probabilistic Latent Space Models.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Dynamic Bayesian Approach for decision-making in Ego-Things.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio.
Proceedings of the 27th European Signal Processing Conference, 2019

Abnormality Detection using Graph Matching for Multi-Task Dynamics of Autonomous Systems.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018
Hierarchy of Gans for Learning Embodied Self-Awareness Model.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Unsupervised Trajectory Modeling Based on Discrete Descriptors for Classifying Moving Objects in Video Sequences.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving.
Proceedings of the 21st International Conference on Information Fusion, 2018

Learning Switching Models for Abnormality Detection for Autonomous Driving.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Task-dependent saliency estimation from trajectories of agents in video sequences.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Hand pose recognition in First Person Vision through graph spectral analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017


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