Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents. - Sumam Francis; Jordy Van Landeghem; Marie-Francine Moens (Inf., 2019)

Benchmarking Scalable Predictive Uncertainty in Text Classification. - Jordy Van Landeghem; Matthew B. Blaschko; Bertrand Anckaert; Marie-Francine Moens (IEEE Access, 2022)

Optimizing ship detection efficiency in SAR images. - Arthur Van Meerbeeck; Jordy Van Landeghem; Ruben Cartuyvels; Marie-Francine Moens (CoRR, 2022)

Document Understanding Dataset and Evaluation (DUDE). - Jordy Van Landeghem; Rafal Powalski; Rubèn Tito; Dawid Jurkiewicz; Matthew B. Blaschko; Lukasz Borchmann; Mickaël Coustaty; Sien Moens; Michal Pietruszka; Bertrand Anckaert; Tomasz Stanislawek; Pawel Józiak; et al. (ICCV, 2023)

ICDAR 2023 Competition on Document UnderstanDing of Everything (DUDE). - Jordy Van Landeghem; Rubèn Tito; Lukasz Borchmann; Michal Pietruszka; Dawid Jurkiewicz; Rafal Powalski; Pawel Józiak; Sanket Biswas; Mickaël Coustaty; Tomasz Stanislawek (ICDAR (2), 2023)

Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting. - Omar Hamed; Souhail Bakkali; Matthew B. Blaschko; Sien Moens; Jordy Van Landeghem (ICDAR (4), 2024)

DistilDoc: Knowledge Distillation for Visually-Rich Document Applications. - Jordy Van Landeghem; Subhajit Maity; Ayan Banerjee 002; Matthew B. Blaschko; Marie-Francine Moens; Josep Lladós 001; Sanket Biswas (ICDAR (4), 2024)

Beyond Document Page Classification: Design, Datasets, and Challenges. - Jordy Van Landeghem; Sanket Biswas; Matthew B. Blaschko; Marie-Francine Moens (WACV, 2024)

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators. - Han Zhou 013; Jordy Van Landeghem; Teodora Popordanoska; Matthew B. Blaschko (CoRR, 2024)

Where Layout Meets Language: Lightweight Spatial Enhancement to Large Language Models for Document Understanding. - Nil Biescas; Sanket Biswas; Josep Lladós 001; Jordy Van Landeghem (ICDAR (4), 2025)