4 citations
3 papers
cs.AI2026★ 1 cited
Emergent, not Immanent: A Baradian Reading of Explainable AI
Fabio Morreale, Joan Serrà, Yuki Mitsufuji
Explainable AI (XAI) is frequently positioned as a technical problem of revealing the inner workings of an AI model. This position is affected by unexamined onto-epistemological as…
cs.AI2025★ 4 cited
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
Susana Nunes, Samy Badreddine, Catia Pesquita
Knowledge graphs (KGs) are powerful tools for modelling complex, multi-relational data and supporting hypothesis generation, particularly in applications like drug repurposing. How…
cs.LG2019
STYLE-ANALYZER: fixing code style inconsistencies with interpretable unsupervised algorithms
Vadim Markovtsev, Waren Long, Hugo Mougard +2
Source code reviews are manual, time-consuming, and expensive. Human involvement should be focused on analyzing the most relevant aspects of the program, such as logic and maintain…