| Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review AAH de Hond, AM Leeuwenberg, L Hooft, IMJ Kant, SWJ Nijman, ... NPJ digital medicine 5 (1), 2, 2022 | 214 | 2022 |
| Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review SWJ Nijman, AM Leeuwenberg, I Beekers, I Verkouter, JJL Jacobs, ... Journal of clinical epidemiology 142, 218-229, 2022 | 102 | 2022 |
| Structured learning for temporal relation extraction from clinical records A Leeuwenberg, MF Moens Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 72 | 2017 |
| A Minimally Supervised Approach for Synonym Extraction with Word Embeddings A Leeuwenberg, M Vela, J Dehdari, J van Genabith The Prague Bulletin of Mathematical Linguistics, 111-142, 2016 | 60 | 2016 |
| Temporal Information Extraction by Predicting Relative Time-lines A Leeuwenberg, MF Moens Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 55 | 2018 |
| A Survey on Temporal Reasoning for Temporal Information Extraction from Text A Leeuwenberg, MF Moens The Journal of Artificial Intelligence Research 66, 341-380, 2019 | 36 | 2019 |
| Prediction models for COVID-19 clinical decision making AM Leeuwenberg, E Schuit The Lancet Digital Health 2 (10), e496-e497, 2020 | 23 | 2020 |
| Exploring pattern structures of syntactic trees for relation extraction A Leeuwenberg, A Buzmakov, Y Toussaint, A Napoli Formal Concept Analysis: 13th International Conference, ICFCA 2015, Nerja …, 2015 | 21 | 2015 |
| Towards extracting absolute event timelines from english clinical reports A Leeuwenberg, MF Moens IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2710-2719, 2020 | 18 | 2020 |
| Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods AM Leeuwenberg, M van Smeden, JA Langendijk, A van der Schaaf, ... Diagnostic and prognostic research 6 (1), 1, 2022 | 17 | 2022 |
| Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit Med [Internet]. 2022; 5 (1): 2 AAH De Hond, AM Leeuwenberg, L Hooft, IMJ Kant, SWJ Nijman, ... This work identifies actionable guidelines for the development, evaluation …, 0 | 15 | |
| KULeuven-LIIR at SemEval-2017 task 12: Cross-domain temporal information extraction from clinical records A Leeuwenberg, MF Moens Proceedings of SemEval-2017 International Workshop on Semantic Evaluation …, 2017 | 14 | 2017 |
| Kuleuven-liir at semeval 2016 task 12: Detecting narrative containment in clinical records A Leeuwenberg, MF Moens Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 12 | 2016 |
| Binary and multitask classification model for Dutch anaphora resolution: Die/dat prediction L Allein, A Leeuwenberg, MF Moens arXiv preprint arXiv:2001.02943, 2020 | 11 | 2020 |
| Comparing methods addressing multi-collinearity when developing prediction models AM Leeuwenberg, M van Smeden, JA Langendijk, A van der Schaaf, ... arXiv preprint arXiv:2101.01603, 2021 | 10 | 2021 |
| LSTM for dialogue breakdown detection: exploration of different model types and word embeddings M Hendriksen, A Leeuwenberg, MF Moens Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 10 | 2021 |
| Automatically correcting Dutch pronouns" die" and" dat" L Allein, A Leeuwenberg, MF Moens Computational Linguistics in the Netherlands Journal 10, 19-36, 2020 | 7 | 2020 |
| Word-level loss extensions for neural temporal relation classification A Leeuwenberg, MF Moens Proceedings of the 27th International Conference on Computational Linguistics, 2018 | 7 | 2018 |
| A flexible and easy-to-use semantic role labeling framework for different languages QNT Do, A Leeuwenberg, G Heyman, MF Moens Proceedings of the 27th International Conference on Computational …, 2018 | 6 | 2018 |
| Saarland University’s Participation in the Second Shared Task on Source, Subjective Expression and Target Extraction from Political Speeches (STEPS-2016) M Wiegand, NM Aliman, T Anikina, P Carroll, M Chikobava, E Hahn, ... Bochumer Linguistische Arbeitsberichte, 14, 2016 | 3 | 2016 |
Marie-Francine MoensProfessor of Computer Science KU Leuven在 cs.kuleuven.be 的电子邮件经过验证
