Hazem Samoaa

Doctoral Student at Software Engineering 2

My research primarily revolves around Online Machine Learning, with a special emphasis on Active Learning and Reinforcement Learning applied to graph data structures. Additionally, my Licentiate thesis concentrated on Data-Centric AI, specifically exploring representation learning for Graphs and Trees.

Source: chalmers.se

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Publications (3)
Projects (0)

Showing 3 publications

2023

Data-Centric AI for Software Performance Engineering - Predicting Workload Dependent and Independent Performance of Software Systems Using Machine Learning Based Approaches

Hazem Samoaa

Licentiate thesis

2023

Batch Mode Deep Active Learning for Regression on Graph Data

Hazem Samoaa, Linus Aronsson, Philipp Leitner et al

Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, p. 5904-5913

Paper in proceeding

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2022

TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks

Hazem Samoaa, Antonio Longa, Mazen Mohamad et al

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13709 LNCS, p. 464-479

Paper in proceeding

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