Aya Saad

19 papers B 10C 5Journal 3
YearRankTypeTitle / Venue / Authors
2025 B conf
A Robust, Domain-Aware Agentic System for Interactive Web-Based Aquaculture Simulation.
KES
Aya Saad, Finn Olav Bjørnson
2025 C conf
AI-based algorithm for the management and optimization of smart agricultural IoT system.
CoDIT
Aya Saad, Ferdaws Ben Naceur, Chokri Ben Salah
2025 B conf
Robust Inference of Fish Behaviour from Underwater Acoustic and Environmental Data.
KES
Dana Margareta King, Muriel Dunn, Sébastien Kerhervé, Oscar Nissen, Edda Jónsdóttir Kristbjörg, Aya Saad
2024 B conf
Modeling and Predicting Welfare of Farmed Atlantic Salmon: Integrative Domain Representation and Reasoning Strategies.
KES
Oscar Nissen, Aya Saad
2024 B conf
Optimizing Feeding Strategies in Aquaculture Using Machine Learning: Ensuring Sustainable and Economically Viable Fish Farming Practices.
KES
Aya Saad, Alexia Artemis Baikas, Mette Remen, Finn Olav Bjørnson
2023 B conf
A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents.
KES
Aya Saad, Biao Su, Finn Olav Bjørnson
2023 C conf
StereoYolo+DeepSORT: a framework to track fish from underwater stereo camera in situ.
ICMV
Aya Saad, Stian Jakobsen, Morten Bondø, Mats Mulelid, Eleni Kelasidi
2022 B conf
RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems.
KES
Aya Saad, Anne Håkansson
2022 B conf
Towards Improved Visualization and Optimization of Aquaculture Production Process.
KES
Aya Saad, Oscar Nissen, Espen Eilertsen, Finn Olav Bjørnson, Tore Norheim Hagtun, Odd-Gunnar Aspaas, Alexia Artemis Baikas, Sveinung Johan Ohrem
2021 C conf
MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation.
ICMV
Jonas Nagell Borgersen, Aya Saad, Annette Stahl
2021 B conf
Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments.
KES
Anne Håkansson, Aya Saad, Akhil S. Anand, Vilde B. Gjærum, Haakon Robinson, Katrine Seel
2021 C conf
Robust deep unsupervised learning framework to discover unseen plankton species.
ICMV
Eivind Salvesen, Aya Saad, Annette Stahl
2021 B conf
Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review.
KES
Akhil S. Anand, Katrine Seel, Vilde B. Gjærum, Anne Håkansson, Haakon Robinson, Aya Saad
2020 C conf
An instance segmentation framework for in-situ plankton taxa assessment.
ICMV
Aya Saad, Annette Stahl
2016 — —
CDF-intervals: a probabilistic interval constraint framework to reason about data with uncertainty.
Aya Saad
2014 J jnl
CDF-Intervals: A Reliable Framework to Reason about Data with Uncertainty.
CoRR
Aya Saad
2014 J jnl
The P-Box CDF-Intervals: A Reliable Constraint Reasoning with Quantifiable Information.
CoRR
Aya Saad, Thom W. Frühwirth, Carmen Gervet
2014 J jnl
The P-Box CDF-Intervals: A Reliable Constraint Reasoning with Quantifiable Information.
Theory Pract. Log. Program.
Aya Saad, Thom W. Frühwirth, Carmen Gervet
2010 B conf
Constraint Reasoning with Uncertain Data Using CDF-Intervals.
CPAIOR
Aya Saad, Carmen Gervet, Slim Abdennadher