3 citations · 7 across the 10 of their papers we have counts for
4 papers · 1 filter
Evidential Rule Learning for Interpretable Classification with Abstention
Javier Fumanal-Idocin, Javier Andreu-Perez
Interpretable classification often requires more than accurate predictions for real-life deployment: models should be transparent about the evidence behind their decisions and abst…
Interpretable Fuzzy Rule-Based Regression Extension for Ex-Fuzzy Library
Cayan Deniz Kucuktopana, Javier Fumanal-Idocin, Richard Pitts +1
Machine learning models achieve high predictive accuracy in regression tasks, but their deployment in safety-critical and regulated domains requires interpretability. While fuzzy r…
Assessing Reliability of Symbol Detection in Concept Bottleneck Models
Javier Fumanal-Idocin, Javier Andreu-Perez
Concept Bottleneck Models (CBMs) are a relevant tool for explainable Artificial Intelligence because they make their predictions through human-interpretable symbols. However, high…
Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules
Javier Fumanal-Idocin, Mohammadreza Jamalifard, Javier Andreu-Perez
Free-style text is still one of the common ways in which data is registered in real environments, like legal procedures and medical records. Because of that, there have been signif…