DocNER: A Deep Learning System for Named Entity Recognition in Handwritten Document Images. - Marwa Dhiaf; Sana Khamekhem Jemni; Yousri Kessentini (ICONIP (6), 2021)

Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents. - Ahmed Cheikh Rouhou; Marwa Dhiaf; Yousri Kessentini; Sinda Ben Salem (CoRR, 2021)

Transformer-based approach for joint handwriting and named entity recognition in historical document. - Ahmed Cheikh Rouhou; Marwa Dhiaf; Yousri Kessentini; Sinda Ben Salem (Pattern Recognit. Lett., 2022)

FATURA: A Multi-Layout Invoice Image Dataset for Document Analysis and Understanding. - Mahmoud Limam; Marwa Dhiaf; Yousri Kessentini (CoRR, 2023)

MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition. - Marwa Dhiaf; Ahmed Cheikh Rouhou; Yousri Kessentini; Sinda Ben Salem (Pattern Recognit. Lett., 2023)

Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents. - Yessine Khanfir; Marwa Dhiaf; Emna Ghodhbani; Ahmed Cheikh Rouhou; Yousri Kessentini (WACV, 2024)

Information extraction from multi-layout invoice images using FATURA dataset. - Mahmoud Limam; Marwa Dhiaf; Yousri Kessentini (Eng. Appl. Artif. Intell., 2025)

UCL-MHTR: A unified continual learning system for multilingual handwritten text recognition. - Marwa Dhiaf; Mohamed Ali Souibgui; Yousri Kessentini; Alicia Fornés; Ahmed Cheikh Rouhou (Expert Syst. Appl., 2025)