Reactive rules inference from dynamic dependency models. - Asaf Adi; Opher Etzion; Dagan Gilat; Royi Ronen; Guy Sharon; Inna Skarbovsky (WWW (Alternate Track Papers & Posters), 2004)

Modeling and Monitoring Dynamic Dependency Environments. - Asaf Adi; Dagan Gilat; Royi Ronen; Ron Rothblum; Guy Sharon; Inna Skarbovsky (IEEE SCC, 2005)

Reactive Rules-Based Dependency Resolution for Monitoring Dynamic Environments. - Dagan Gilat; Royi Ronen; Ron Rothblum; Guy Sharon; Inna Skarbovsky (RuleML, 2005)

A Method for Service Center Architecture Based on Industry Standards. - Avivit Bercovici; Amit Fisher; Fabiana Fournier; Guy Rackham; Natalia Razinkov; Inna Skarbovsky (IEEE SCC (2), 2008)

Context aware computing and its utilization in event-based systems. - Opher Etzion; Yonit Magid; Ella Rabinovich; Inna Skarbovsky; Nir Zolotorevsky (DEBS, 2010)

Non functional properties of event porcessing. - Opher Etzion; Ella Rabinovich; Inna Skarbovsky (DEBS, 2011)

The uncertain case of credit card fraud detection. - Ivo Correia; Fabiana Fournier; Inna Skarbovsky (DEBS, 2015)

Extending Event-Driven Architecture for Proactive Systems. - Fabiana Fournier; Alexander Kofman; Inna Skarbovsky; Anastasios Skarlatidis (EDBT/ICDT Workshops, 2015)

A model driven approach for event processing applications. - Opher Etzion; Fabiana Fournier; Inna Skarbovsky; Barbara von Halle (DEBS, 2016)

Complex event processing over streaming multi-cloud platforms: the FERARI approach: demo. - Ioannis Flouris; Vasiliki Manikaki; Nikos Giatrakos; Antonios Deligiannakis; Minos N. Garofalakis; Michael Mock; Sebastian Bothe; Inna Skarbovsky; Fabiana Fournier; Marko Stajcer; Tomislav Krizan; Jonathan Yom-Tov; et al. (DEBS, 2016)

FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms. - Ioannis Flouris; Vasiliki Manikaki; Nikos Giatrakos; Antonios Deligiannakis; Minos N. Garofalakis; Michael Mock; Sebastian Bothe; Inna Skarbovsky; Fabiana Fournier; Marko Stajcer; Tomislav Krizan; Jonathan Yom-Tov; et al. (SIGMOD Conference, 2016)

A Prototype for Credit Card Fraud Management: Industry Paper. - Alexander Artikis; Nikos Katzouris; Ivo Correia; Chris Baber; Natan Morar; Inna Skarbovsky; Fabiana Fournier; Georgios Paliouras (DEBS, 2017)

Demonstration of a Prototype for Credit Card Fraud Management: Demo. - Ivo Correia; Alexander Artikis; Nikos Katzouris; Chris Baber; Natan Morar; Inna Skarbovsky; Fabiana Fournier; Georgios Paliouras (DEBS, 2017)

An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management. - Alain Y. Kibangou; Alexander Artikis; Evangelos Michelioudakis; Georgios Paliouras; Marius Schmitt; John Lygeros; Chris Baber; Natan Morar; Fabiana Fournier; Inna Skarbovsky (CoRR, 2017)

Enriching Smart Contracts with Temporal Aspects. - Fabiana Fournier; Inna Skarbovsky (ICBC, 2019)

Drilling Into Dashboards: Responding to Computer Recommendation in Fraud Analysis. - Natan Morar; Chris Baber; Faye McCabe; Sandra Dorothee Starke; Inna Skarbovsky; Alexander Artikis; Ivo Correai (IEEE Trans. Hum. Mach. Syst., 2019)

Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience. - Óscar Lázaro; Jesús Alonso; Paulo Figueiras; Ruben Costa; Diogo Graça; Gisela García; Alessandro Canepa; Caterina Calefato; Marco Vallini; Fabiana Fournier; Nathan Hazout; Inna Skarbovsky; et al. (Technologies and Applications for Big Data Value, 2022)

Situation-Aware eXplainability for Business Processes Enabled by Complex Events. - Guy Amit; Fabiana Fournier; Lior Limonad; Inna Skarbovsky (Business Process Management Workshops, 2022)

A Framework for Verifiable and Auditable Collaborative Anomaly Detection. - Gabriele Santin; Inna Skarbovsky; Fabiana Fournier; Bruno Lepri (IEEE Access, 2022)

A Framework for Verifiable and Auditable Federated Anomaly Detection. - Gabriele Santin; Inna Skarbovsky; Fabiana Fournier; Bruno Lepri (CoRR, 2022)

Why are my Pizzas late? - Dirk Fahland; Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Ava J. E. Swevels (PMAI@IJCAI, 2023)

The WHY in Business Processes: Discovery of Causal Execution Dependencies. - Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Yuval David (CoRR, 2023)

Towards a Benchmark for Causal Business Process Reasoning with LLMs. - Fabiana Fournier; Lior Limonad; Inna Skarbovsky (Business Process Management Workshops, 2024)

How well can large language models explain business processes? - Dirk Fahland; Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Ava J. E. Swevels (CoRR, 2024)

Monetizing Currency Pair Sentiments through LLM Explainability. - Lior Limonad; Fabiana Fournier; Juan Manuel Vera; Inna Skarbovsky; Shlomit Gur; Raquel Lazcano (CoRR, 2024)

How well can a large language model explain business processes as perceived by users? - Dirk Fahland; Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Ava J. E. Swevels (Data Knowl. Eng., 2025)

Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems. - Dany Moshkovich; Hadar Mulian; Sergey Zeltyn; Natti Eder; Inna Skarbovsky; Roy Abitbol (CoRR, 2025)

The WHY in Business Processes: Unification of Causal Process Models. - Yuval David; Fabiana Fournier; Lior Limonad; Inna Skarbovsky (CoRR, 2025)