Aya Saad

Orcid: 0000-0003-0198-8594

According to our database1, Aya Saad authored at least 13 papers between 2010 and 2023.

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

Timeline

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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

StereoYolo+DeepSORT: a framework to track fish from underwater stereo camera in situ.
Proceedings of the Sixteenth International Conference on Machine Vision, 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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