Search Results for author: Inna Skarbovsky

Found 4 papers, 0 papers with code

How well can large language models explain business processes?

no code implementations23 Jan 2024 Dirk Fahland, Fabian Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels

The functionality of these services is to elicit the various knowledge ingredients that underlie SAX explanations.

Hallucination

The WHY in Business Processes: Discovery of Causal Execution Dependencies

no code implementations23 Oct 2023 Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Yuval David

We demonstrate our methodology employing two open process mining algorithms, the IBM Process Mining tool, and the LiNGAM causal discovery technique.

Causal Discovery

A Framework for Verifiable and Auditable Federated Anomaly Detection

no code implementations15 Mar 2022 Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri

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 performance without disclosing any data.

Anomaly Detection Ensemble Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.