2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Neural-based classification rule learning for sequential data
Marine Collery, Philippe Bonnard, François Fages +1
Discovering interpretable patterns for classification of sequential data is of key importance for a variety of fields, ranging from genomics to fraud detection or more generally in…
stat.ML2022★ 2 cited
Differentiable Rule Induction with Learned Relational Features
Remy Kusters, Yusik Kim, Marine Collery +2
Rule-based decision models are attractive due to their interpretability. However, existing rule induction methods often result in long and consequently less interpretable rule mode…