1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Self-Explaining Neural Networks for Business Process Monitoring
Shahaf Bassan, Shlomit Gur, Sergey Zeltyn +3
Tasks in Predictive Business Process Monitoring (PBPM), such as Next Activity Prediction, focus on generating useful business predictions from historical case logs. Recently, Deep…
cs.LG2025
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
*Minimal sufficient reasons* represent a prevalent form of explanation - the smallest subset of input features which, when held constant at their corresponding values, ensure that…
cs.AI2024★ 1 cited
Monetizing Currency Pair Sentiments through LLM Explainability
Lior Limonad, Fabiana Fournier, Juan Manuel Vera Díaz +3
Large language models (LLMs) play a vital role in almost every domain in today's organizations. In the context of this work, we highlight the use of LLMs for sentiment analysis (SA…