252 citations · 288 across the 10 of their papers we have counts for
12 papers
Fanar 2.0: Arabic Generative AI Stack
FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad +34
We present Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform. Sovereignty is a first-class design principle: every component, from data pipelines to…
HCT-QA: A Benchmark for Question Answering on Human-Centric Tables
Mohammad S. Ahmad, Zan A. Naeem, Michaël Aupetit +6
Tabular data embedded in PDF files, web pages, and other types of documents is prevalent in various domains. These tables, which we call human-centric tables (HCTs for short), are…
Fanar: An Arabic-Centric Multimodal Generative AI Platform
Fanar Team, Ummar Abbas, Mohammad Shahmeer Ahmad +39
We present Fanar, a platform for Arabic-centric multimodal generative AI systems, that supports language, speech and image generation tasks. At the heart of Fanar are Fanar Star an…
Cross Modal Data Discovery over Structured and Unstructured Data Lakes
Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed Elmagarmid +1
Organizations are collecting increasingly large amounts of data for data driven decision making. These data are often dumped into a centralized repository, e.g., a data lake, consi…
Human-Centric Data Cleaning [Vision]
El Kindi Rezig, Mourad Ouzzani, Ahmed K. Elmagarmid +1
Data Cleaning refers to the process of detecting and fixing errors in the data. Human involvement is instrumental at several stages of this process, e.g., to identify and repair er…
Pattern-Driven Data Cleaning
El Kindi Rezig, Mourad Ouzzani, Walid G. Aref +2
Data is inherently dirty and there has been a sustained effort to come up with different approaches to clean it. A large class of data repair algorithms rely on data-quality rules…
Unsupervised String Transformation Learning for Entity Consolidation
Dong Deng, Wenbo Tao, Ziawasch Abedjan +7
Data integration has been a long-standing challenge in data management with many applications. A key step in data integration is entity consolidation. It takes a collection of clus…
A large scale study of SVM based methods for abstract screening in systematic reviews
Tanay Kumar Saha, Mourad Ouzzani, Hossam M. Hammady +3
A major task in systematic reviews is abstract screening, i.e., excluding, often hundreds or thousand of, irrelevant citations returned from a database search based on titles and a…
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration
Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque +5
The importance of sleep is paramount for maintaining physical, emotional and mental wellbeing. Though the relationship between sleep and physical activity is known to be important,…
Robust Automated Human Activity Recognition and its Application to Sleep Research
Aarti Sathyanarayana, Ferda Ofli, Luis Fernandes-Luque +4
Human Activity Recognition (HAR) is a powerful tool for understanding human behaviour. Applying HAR to wearable sensors can provide new insights by enriching the feature set in hea…
Parameter Database : Data-centric Synchronization for Scalable Machine Learning
Naman Goel, Divyakant Agrawal, Sanjay Chawla +1
We propose a new data-centric synchronization framework for carrying out of machine learning (ML) tasks in a distributed environment. Our framework exploits the iterative nature of…
Guided Data Repair
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville +2
In this paper we present GDR, a Guided Data Repair framework that incorporates user feedback in the cleaning process to enhance and accelerate existing automatic repair techniques…