| Topic modelling applied on innovation studies of Flemish companies A Crijns, V Vanhullebusch, M Reusens, M Reusens, B Baesens Journal of Business Analytics, 1-12, 2023 | 7 | 2023 |
| Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques M Reusens, P Borchert, M Mieskes, J De Weerdt, B Baesens Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 5 | 2023 |
| Evaluating text classification: A benchmark study M Reusens, A Stevens, J Tonglet, J De Smedt, W Verbeke, ... Expert Systems with Applications, 124302, 2024 | 3 | 2024 |
| Comparison of Different Modeling Techniques for Flemish Twitter Sentiment Analysis M Reusens, M Reusens, M Callens, S vanden Broucke, B Baesens Analytics 1 (2), 117-134, 2022 | 3 | 2022 |
| Benchmarking Conventional Outlier Detection Methods E Tiukhova, M Reusens, B Baesens, M Snoeck International Conference on Research Challenges in Information Science, 597-613, 2022 | 3 | 2022 |
| Benchmark Study for Flemish Twitter Sentiment Analysis M Reusens, M Reusens, M Callens, S Vanden Broucke, B Baesens Available at SSRN 4096559, 2022 | 2 | 2022 |
| Predicting the demographics of Twitter users with programmatic weak supervision J Tonglet, A Jehoul, M Reusens, M Reusens, B Baesens TOP, 1-37, 2024 | 1 | 2024 |
| SEER: A Knapsack approach to Exemplar Selection for In-Context HybridQA J Tonglet, M Reusens, P Borchert, B Baesens Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
| Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance M Reusens, P Borchert, J De Weerdt, B Baesens arXiv preprint arXiv:2406.17385, 2024 | | 2024 |
