Assessing Unintended Memorization in Neural Discriminative Sequence Models. - Mossad Helali; Thomas Kleinbauer; Dietrich Klakow (TDS, 2020)

Investigating Multi-Modal Measures for Cognitive Load Detection in E-Learning. - Nico Herbig 001; Tim Düwel; Mossad Helali; Lea Eckhart; Patrick Schuck; Subhabrata Choudhury; Antonio Krüger (UMAP, 2020)

A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science. - Ahmed Helal; Mossad Helali; Khaled Ammar; Essam Mansour 001 (Proc. VLDB Endow., 2021)

A Scalable AutoML Approach Based on Graph Neural Networks. - Mossad Helali; Essam Mansour 001; Ibrahim Abdelaziz; Julian Dolby; Kavitha Srinivas (Proc. VLDB Endow., 2022)

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. - Wenting Zhao; Ibrahim Abdelaziz; Julian Dolby; Kavitha Srinivas; Mossad Helali; Essam Mansour 001 (CoRR, 2023)

Linked Data Science Powered by Knowledge Graphs. - Mossad Helali; Shubham Vashisth; Philippe Carrier; Katja Hose; Essam Mansour 001 (CoRR, 2023)

KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science. - Mossad Helali; Niki Monjazeb; Shubham Vashisth; Philippe Carrier; Ahmed Helal; Antonio Cavalcante; Khaled Ammar; Katja Hose; Essam Mansour 001 (ICDE, 2024)