55 citations · 72 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Personalising Digital Health Behaviour Change Interventions using Machine Learning and Domain Knowledge
Aneta Lisowska, Szymon Wilk, Mor Peleg
We are developing a virtual coaching system that helps patients adhere to behavior change interventions (BCI). Our proposed system predicts whether a patient will perform the targe…
cs.CY2022★ 16 cited
What do you need to consider when designing mobile health intervention?
Aneta Lisowska, Szymon Wilk, Mor Peleg
Designing theory-driven digital health interventions is a challenging task that needs support. We created a guide for the incomers in the field on how to design digital health inte…
cs.LG2021★ 55 cited
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Enea Parimbelli, Giovanna Nicora, Szymon Wilk +2
Increasingly complex learning methods such as boosting, bagging and deep learning have made ML models more accurate, but harder to understand and interpret. A tradeoff between perf…