| Transfer learning for named entity recognition in financial and biomedical documents S Francis, J Van Landeghem, MF Moens Information 10 (8), 248, 2019 | 67 | 2019 |
| Document Understanding Dataset and Evaluation (DUDE) J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, P Józiak, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 51 | 2023 |
| Benchmarking scalable predictive uncertainty in text classification J Van Landeghem, M Blaschko, B Anckaert, MF Moens IEEE Access 10, 43703-43737, 2022 | 16 | 2022 |
| ICDAR 2023 competition on document understanding of everything (DUDE) J Van Landeghem, R Tito, Ł Borchmann, M Pietruszka, D Jurkiewicz, ... International Conference on Document Analysis and Recognition, 420-434, 2023 | 7 | 2023 |
| Beyond Document Page Classification: Design, Datasets, and Challenges J Van Landeghem, S Biswas, M Blaschko, MF Moens Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
| Predictive uncertainty for probabilistic novelty detection in text classification J Van Landeghem, M Blaschko, B Anckaert, MF Moens Proceedings ICML 2020 Workshop on Uncertainty and Robustness in Deep …, 2020 | 4 | 2020 |
| Multimodal adaptive inference for document image classification with anytime early exiting O Hamed, S Bakkali, M Blaschko, S Moens, J Van Landeghem International Conference on Document Analysis and Recognition, 270-286, 2024 | 2 | 2024 |
| A survey of word embedding literature J Van Landeghem Academia, 2016 | 2 | 2016 |
| DistilDoc: Knowledge Distillation for Visually-Rich Document Applications J Van Landeghem, S Maity, A Banerjee, M Blaschko, MF Moens, J Lladós, ... International Conference on Document Analysis and Recognition, 195-217, 2024 | 1 | 2024 |
| Intelligent Automation for AI-driven Document Understanding J Van Landeghem Ph. D. thesis, KU Leuven, 2024 | 1 | 2024 |
| Dutch Translation Equivalents J Van Landeghem Published dissertation. KU Leuven–Faculty of Arts, 2014 | 1 | 2014 |
| A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators H Zhou, J Van Landeghem, T Popordanoska, MB Blaschko arXiv preprint arXiv:2410.15361, 2024 | | 2024 |
| Optimizing ship detection efficiency in SAR images A Van Meerbeeck, J Van Landeghem, R Cartuyvels, MF Moens NeurIPS 2022 workshop: Tackling Climate Change with Machine Learning, 2022 | | 2022 |
| Better Late than Never: Late Fusion Techniques for Document Classification Y Zhao, J Van Landeghem BNAIC/BeNeLearn 2022, 2022 | | 2022 |
| Sequence-to-Sequence Learning for End-to-End Dialogue Systems J Van Landeghem KU Leuven, 2016 | | 2016 |
| De Conceptuele Metafoortheorie: Hoe methodologische re-evaluatie kan leiden tot theoretisch revaluatie J Van Landeghem | | |
Marie-Francine MoensProfessor of Computer Science KU Leuven確認したメール アドレス: cs.kuleuven.be