Floor Scheepers

According to our database, Floor Scheepers authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics.

Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak

Nat. Lang. Process. J., 2024

2023

Effect of Calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling.

Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Bias Discovery in Machine Learning Models for Mental Health.

Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit

Inf., 2022

Topic Modeling for Interpretable Text Classification From EHRs.

Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit

Frontiers Big Data, 2022

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting.

Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit

Expert Syst. Appl., 2022

Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes.

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

CoRR, 2022

Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records.

Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Pablo Mosteiro, Floortje Scheepers, Uzay Kaymak

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

FuzzyTM: a Software Package for Fuzzy Topic Modeling.

Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability.

Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Making Sense of Violence Risk Predictions Using Clinical Notes.

Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit

Proceedings of the Health Information Science - 9th International Conference, 2020

2019

Supporting Reuse of EHR Data in Healthcare Organizations: The CARED Research Infrastructure Framework.

Vincent Jorn Menger, Marco Spruit, Jonathan de Bruin, Thomas Kelder, Floor Scheepers

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Using Cluster Ensembles to Identify Psychiatric Patient Subgroups.

Vincent Jorn Menger, Marco Spruit, Wouter van der Klift, Floor Scheepers

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text.

Vincent Jorn Menger, Floor Scheepers, Lisette Maria van Wijk, Marco Spruit

Telematics Informatics, 2018

2016

Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding.

Vincent Jorn Menger, Marco René Spruit, Karin Hagoort, Floor Scheepers

Comput. Math. Methods Medicine, 2016