Aya Saad

Orcid: 0000-0003-0198-8594

According to our database1, Aya Saad authored at least 12 papers between 2010 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022
Towards Improved Visualization and Optimization of Aquaculture Production Process.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Robust deep unsupervised learning framework to discover unseen plankton species.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

2020
An instance segmentation framework for in-situ plankton taxa assessment.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

2016
CDF-intervals: a probabilistic interval constraint framework to reason about data with uncertainty.
PhD thesis, 2016

2014
The P-Box CDF-Intervals: A Reliable Constraint Reasoning with Quantifiable Information.
Theory Pract. Log. Program., 2014

CDF-Intervals: A Reliable Framework to Reason about Data with Uncertainty.
CoRR, 2014

2010
Constraint Reasoning with Uncertain Data Using CDF-Intervals.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2010


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