The WHY in Business Processes: Discovery of Causal Execution Dependencies

no code implementations • 23 Oct 2023 • Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Yuval David

This calls for faithful new techniques to discover the causal execution dependencies among the tasks in the process.

Causal Discovery

A Framework for Verifiable and Auditable Federated Anomaly Detection

no code implementations • 15 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

AI-Augmented Business Process Management Systems: A Research Manifesto

no code implementations • 30 Jan 2022 • Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber

AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology.

Management

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

no code implementations • 8 Mar 2017 • Alain Kibangou, Alexander Artikis, Evangelos Michelioudakis, Georgios Paliouras, Marius Schmitt, John Lygeros, Chris Baber, Natan Morar, Fabiana Fournier, Inna Skarbovsky

Traffic on freeways can be managed by means of ramp meters from Road Traffic Control rooms.

Decision Making Management