Constraint Reasoning with Uncertain Data Using CDF-Intervals. - Aya Saad; Carmen Gervet; Slim Abdennadher (CPAIOR, 2010)

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

The P-Box CDF-Intervals: A Reliable Constraint Reasoning with Quantifiable Information. - Aya Saad; Thom W. Frühwirth; Carmen Gervet (Theory Pract. Log. Program., 2014)

CDF-intervals: a probabilistic interval constraint framework to reason about data with uncertainty. - Aya Saad (2016)

An instance segmentation framework for in-situ plankton taxa assessment. - Aya Saad; Annette Stahl (ICMV, 2020)

MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. - Jonas Nagell Borgersen; Aya Saad; Annette Stahl (ICMV, 2021)

Robust deep unsupervised learning framework to discover unseen plankton species. - Eivind Salvesen; Aya Saad; Annette Stahl (ICMV, 2021)

Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review. - Akhil Anand; Katrine Seel; Vilde B. Gjærum; Anne Håkansson; Haakon Robinson; Aya Saad (KES, 2021)

Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments. - Anne Håkansson; Aya Saad; Akhil Anand; Vilde B. Gjærum; Haakon Robinson; Katrine Seel (KES, 2021)

RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems. - Aya Saad; Anne Håkansson (KES, 2022)

Towards Improved Visualization and Optimization of Aquaculture Production Process. - Aya Saad; Oscar Nissen; Espen Eilertsen; Finn Olav Bjørnson; Tore Norheim Hagtun; Odd-Gunnar Aspaas; Alexia Artemis Baikas; Sveinung Johan Ohrem (KES, 2022)

StereoYolo+DeepSORT: a framework to track fish from underwater stereo camera in situ. - Aya Saad; Stian Jakobsen; Morten Bondø; Mats Mulelid; Eleni Kelasidi (ICMV, 2023)

A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents. - Aya Saad; Biao Su; Finn Olav Bjørnson (KES, 2023)

Modeling and Predicting Welfare of Farmed Atlantic Salmon: Integrative Domain Representation and Reasoning Strategies. - Oscar Nissen; Aya Saad (KES, 2024)

Optimizing Feeding Strategies in Aquaculture Using Machine Learning: Ensuring Sustainable and Economically Viable Fish Farming Practices. - Aya Saad; Alexia Artemis Baikas; Mette Remen; Finn Olav Bjørnson (KES, 2024)