1 citations · 1 across the 4 of their papers we have counts for
4 papers
PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
Thalea Schlender, Catharina J. A. Romme, Yvette M. van der Linden +3
Survival analysis is central to clinical research, informing patient prognoses, guiding treatment decisions, and optimising resource allocation. Accurate time-to-event predictions…
A Step towards Interpretable Multimodal AI Models with MultiFIX
Mafalda Malafaia, Thalea Schlender, Tanja Alderliesten +1
Real-world problems are often dependent on multiple data modalities, making multimodal fusion essential for leveraging diverse information sources. In high-stakes domains, such as…
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman +1
In the health domain, decisions are often based on different data modalities. Thus, when creating prediction models, multimodal fusion approaches that can extract and combine relev…
Improving the efficiency of GP-GOMEA for higher-arity operators
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten +1
Deploying machine learning models into sensitive domains in our society requires these models to be explainable. Genetic Programming (GP) can offer a way to evolve inherently inter…