3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Agentic Data Cleaning Without a Clean Reference: An Experimental Study of Capabilities and Trade-offs
Hadi Fadlallah
Data cleaning without a trusted clean reference is challenging because unusual values may represent either genuine errors or valid observations. This paper studies how different ag…
cs.DB2026
An Agentic Retrieval Framework for Autonomous Context-Aware Data Quality Assessment
Hadi Fadlallah, Ibrahim Dhaini, Fatima Mubarak +1
Data quality assessment is a critical prerequisite for effective data analytics and data-driven decision-making, yet it remains a challenging task due to the inherently context-dep…
cs.LG2026★ 3 cited
Automated Big Data Quality Assessment using Knowledge Graph Embeddings
Hadi Fadlallah, Rima Kilany, Mitri Haber +1
Automated data quality assessment is crucial for managing big data, but existing solutions face challenges in achieving accurate context-aware assessment. This paper presents a nov…