activity
20172025
most citedHow well can a large language model explain business processes as perceived by users?

30 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

The WHY in Business Processes: Unification of Causal Process Models

Yuval David, Fabiana Fournier, Lior Limonad +1

Causal reasoning is essential for business process interventions and improvement, requiring a clear understanding of causal relationships among activity execution times in an event…

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…

cs.AI2024

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Fabiana Fournier, Lior Limonad, Inna Skarbovsky

Large Language Models (LLMs) are increasingly used for boosting organizational efficiency and automating tasks. While not originally designed for complex cognitive processes, recen…

cs.AI2024★ 30 cited

How well can a large language model explain business processes as perceived by users?

Dirk Fahland, Fabiana Fournier, Lior Limonad +2

Large Language Models (LLMs) are trained on a vast amount of text to interpret and generate human-like textual content. They are becoming a vital vehicle in realizing the vision of…

cs.AI2023★ 5 cited

The WHY in Business Processes: Discovery of Causal Execution Dependencies

Fabiana Fournier, Lior Limonad, Inna Skarbovsky +1

Unraveling the causal relationships among the execution of process activities is a crucial element in predicting the consequences of process interventions and making informed decis…

cs.LG2022★ 3 cited

A Framework for Verifiable and Auditable Federated Anomaly Detection

Gabriele Santin, Inna Skarbovsky, Fabiana Fournier +1

Federated Leaning is an emerging approach to manage cooperation between a group of agents for the solution of Machine Learning tasks, with the goal of improving each agent's perfor…

cs.AI2017

An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management

Alain Kibangou, Alexander Artikis, Evangelos Michelioudakis +7

Traffic on freeways can be managed by means of ramp meters from Road Traffic Control rooms. Human operators cannot efficiently manage a network of ramp meters. To support them, we…