Emil Rijcken

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Risk Assessment

Text Classification

Variational Bayesian Inference

Top Venues

Nat. Lang. Process. J.

Publications

Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. Nat. Lang. Process. J. 8 (2024)
Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
Effect of Calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling. FUZZ (2023)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making sense of violence risk predictions using clinical notes. CoRR (2022)
Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit
Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data 5 (2022)
Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE (2022)
Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Pablo Mosteiro, Floortje Scheepers, Uzay Kaymak
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. SMC (2022)
Jasper Arendsen, Emil Rijcken, Kalliopi Zervanou, Kim Rietjens, Femke Vlems, Uzay Kaymak
Analyzing Patient Feedback Data with Topic Modeling. IPMU (2) (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. 199 (2022)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR (2022)
Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. SSCI (2021)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making Sense of Violence Risk Predictions Using Clinical Notes. HIS (2020)