| Towards interpreting topic models with ChatGPT E Rijcken, F Scheepers, K Zervanou, M Spruit, P Mosteiro, U Kaymak The 20th World Congress of the International Fuzzy Systems Association, 2023 | 34 | 2023 |
| Topic modeling for interpretable text classification from EHRs E Rijcken, U Kaymak, F Scheepers, P Mosteiro, K Zervanou, M Spruit Frontiers in big Data 5, 846930, 2022 | 30 | 2022 |
| Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting T Borger, P Mosteiro, H Kaya, E Rijcken, AA Salah, F Scheepers, M Spruit Expert Systems with Applications 199, 116720, 2022 | 27 | 2022 |
| Machine learning for violence risk assessment using Dutch clinical notes P Mosteiro, E Rijcken, K Zervanou, U Kaymak, F Scheepers, M Spruit arXiv preprint arXiv:2204.13535, 2022 | 20 | 2022 |
| A comparative study of fuzzy topic models and LDA in terms of interpretability E Rijcken, F Scheepers, P Mosteiro, K Zervanou, M Spruit, U Kaymak 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 20 | 2021 |
| FuzzyTM: a software package for fuzzy topic modeling E Rijcken, P Mosteiro, K Zervanou, M Spruit, F Scheepers, U Kaymak 2022 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2022 | 10 | 2022 |
| Making sense of violence risk predictions using clinical notes P Mosteiro, E Rijcken, K Zervanou, U Kaymak, F Scheepers, M Spruit Health Information Science: 9th International Conference, HIS 2020 …, 2020 | 10 | 2020 |
| Exploring embedding spaces for more coherent topic modeling in electronic health records E Rijcken, K Zervanou, M Spruit, P Mosteiro, F Scheepers, U Kaymak 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 8 | 2022 |
| Effect of calculating pointwise mutual information using a fuzzy sliding window in topic modeling E Rijcken, K Zervanou, M Spruit, F Scheepers, U Kaymak 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023 | 3 | 2023 |
| Analyzing patient feedback data with topic modeling J Arendsen, E Rijcken, K Zervanou, K Rietjens, F Vlems, U Kaymak International Conference on Information Processing and Management of …, 2022 | 3 | 2022 |
| A performance evaluation of topic models based on fuzzy latent semantic analysis E Rijcken, K Zervanou, P Mosteiro, M Spruit, F Scheepers, U Kaymak | 2 | 2022 |
| Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review E Rijcken, K Zervanou, P Mosteiro, F Scheepers, M Spruit, U Kaymak Natural Language Processing Journal, 100129, 2025 | 1 | 2025 |
| Examining the meaning of “violence” through machine learning techniques J van Breen, E Rijcken, J Kantorowicz, M Liem Journal of Interpersonal Violence, 08862605241301793, 2024 | 1 | 2024 |
| Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics E Rijcken, K Zervanou, P Mosteiro, F Scheepers, M Spruit, U Kaymak Natural Language Processing Journal 8, 100082, 2024 | 1 | 2024 |
| Natural Language Processing Journal E Rijcken, K Zervanou, P Mosteiro, F Scheepers, M Spruit, U Kaymak | | |
| A Comparative Study of Fuzzy Topic Models and LDA for Interpretability in Text Classification E Rijcken, F Scheepers, P Mosteiro, K Zervanou, M Spruit, U Kaymak | | |
Marco SpruitFull Professor of Data Science & AI for HealthVerificeret mail på lumc.nl