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 | 4 | 2023 |
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 | 2 | 2022 |
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques M Reusens, P Borchert, M Mieskes, J De Weerdt, B Baesens arXiv preprint arXiv:2310.10310, 2023 | 1 | 2023 |
Benchmarking Conventional Outlier Detection Methods E Tiukhova, M Reusens, B Baesens, M Snoeck International Conference on Research Challenges in Information Science, 597-613, 2022 | 1 | 2022 |
Benchmark Study for Flemish Twitter Sentiment Analysis M Reusens, M Reusens, M Callens, S Vanden Broucke, B Baesens Available at SSRN 4096559, 2022 | 1 | 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 | | 2024 |
SEER: A Knapsack approach to Exemplar Selection for In-Context HybridQA J Tonglet, M Reusens, P Borchert, B Baesens arXiv preprint arXiv:2310.06675, 2023 | | 2023 |
A review and experimental evaluation of the state-of-the-art in text classification M Reusens, A Stevens, J Tonglet, J De Smedt, W Verbeke 37th Annual Conference of the Belgian Operatonal Research Society, ORBEL 37 …, 2023 | | 2023 |
Predicting Credit Rating Migrations Combining Textual, Financial, and Market Data M Reusens, K Korangi, C Mues, C Bravo, B Baesens European Conference on Operational Research (EURO 2022), Date: 2022/07/03 …, 2022 | | 2022 |