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Journal Articles
- 2022
[j2]Gabriele Santin
, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri:
A Framework for Verifiable and Auditable Collaborative Anomaly Detection. IEEE Access 10: 82896-82909 (2022)- 2019
- [j1]Natan Morar, Chris Baber, Faye McCabe, Sandra Dorothee Starke, Inna Skarbovsky, Alexander Artikis, Ivo Correai:
Drilling Into Dashboards: Responding to Computer Recommendation in Fraud Analysis. IEEE Trans. Hum. Mach. Syst. 49(6): 633-641 (2019)
Conference and Workshop Papers
- 2023
- [c16]Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels:
Why are my Pizzas late? PMAI@IJCAI 2023: 25-28 - 2022
- [c15]Guy Amit, Fabiana Fournier, Lior Limonad, Inna Skarbovsky:
Situation-Aware eXplainability for Business Processes Enabled by Complex Events. Business Process Management Workshops 2022: 45-57 - 2019
- [c14]Fabiana Fournier, Inna Skarbovsky:
Enriching Smart Contracts with Temporal Aspects. ICBC 2019: 126-141 - 2017
- [c13]Alexander Artikis, Nikos Katzouris, Ivo Correia, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, Georgios Paliouras:
A Prototype for Credit Card Fraud Management: Industry Paper. DEBS 2017: 249-260 - [c12]Ivo Correia, Alexander Artikis, Nikos Katzouris, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, Georgios Paliouras:
Demonstration of a Prototype for Credit Card Fraud Management: Demo. DEBS 2017: 335-338 - 2016
- [c11]Opher Etzion, Fabiana Fournier, Inna Skarbovsky, Barbara von Halle:
A model driven approach for event processing applications. DEBS 2016: 81-92 - [c10]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, Marijo Volarevic:
Complex event processing over streaming multi-cloud platforms: the FERARI approach: demo. DEBS 2016: 348-349 - [c9]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, Taji Curin:
FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms. SIGMOD Conference 2016: 2093-2096 - 2015
- [c8]Ivo Correia, Fabiana Fournier, Inna Skarbovsky:
The uncertain case of credit card fraud detection. DEBS 2015: 181-192 - [c7]Fabiana Fournier, Alexander Kofman, Inna Skarbovsky, Anastasios Skarlatidis:
Extending Event-Driven Architecture for Proactive Systems. EDBT/ICDT Workshops 2015: 104-110 - 2011
- [c6]Opher Etzion, Ella Rabinovich, Inna Skarbovsky:
Non functional properties of event porcessing. DEBS 2011: 365-366 - 2010
- [c5]Opher Etzion, Yonit Magid, Ella Rabinovich, Inna Skarbovsky, Nir Zolotorevsky:
Context aware computing and its utilization in event-based systems. DEBS 2010: 270-281 - 2008
- [c4]Avivit Bercovici, Amit Fisher, Fabiana Fournier, Guy Rackham, Natalia Razinkov, Inna Skarbovsky:
A Method for Service Center Architecture Based on Industry Standards. IEEE SCC (2) 2008: 433-440 - 2005
- [c3]Asaf Adi, Dagan Gilat, Royi Ronen, Ron Rothblum, Guy Sharon, Inna Skarbovsky:
Modeling and Monitoring Dynamic Dependency Environments. IEEE SCC 2005: 208-216 - [c2]Dagan Gilat, Royi Ronen, Ron Rothblum, Guy Sharon, Inna Skarbovsky:
Reactive Rules-Based Dependency Resolution for Monitoring Dynamic Environments. RuleML 2005: 71-83 - 2004
- [c1]Asaf Adi, Opher Etzion, Dagan Gilat, Royi Ronen, Guy Sharon, Inna Skarbovsky:
Reactive rules inference from dynamic dependency models. WWW (Alternate Track Papers & Posters) 2004: 232-233
Parts in Books or Collections
- 2022
- [p1]Óscar Lázaro, Jesús Alonso, Paulo Figueiras, Ruben Costa, Diogo Graça, Gisela García, Alessandro Canepa, Caterina Calefato, Marco Vallini, Fabiana Fournier, Nathan Hazout, Inna Skarbovsky, Athanasios Poulakidas, Konstantinos Sipsas:
Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience. Technologies and Applications for Big Data Value 2022: 373-397
Informal and Other Publications
- 2024
- [i6]Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J. E. Swevels:
How well can large language models explain business processes? CoRR abs/2401.12846 (2024) - [i5]Fabiana Fournier, Lior Limonad, Inna Skarbovsky:
Towards a Benchmark for Causal Business Process Reasoning with LLMs. CoRR abs/2406.05506 (2024) - [i4]Lior Limonad, Fabiana Fournier, Juan Manuel Vera, Inna Skarbovsky, Shlomit Gur, Raquel Lazcano:
Monetizing Currency Pair Sentiments through LLM Explainability. CoRR abs/2407.19922 (2024) - 2023
- [i3]Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Yuval David:
The WHY in Business Processes: Discovery of Causal Execution Dependencies. CoRR abs/2310.14975 (2023) - 2022
- [i2]Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri:
A Framework for Verifiable and Auditable Federated Anomaly Detection. CoRR abs/2203.07802 (2022) - 2017
- [i1]Alain Y. Kibangou, Alexander Artikis, Evangelos Michelioudakis, Georgios Paliouras, Marius Schmitt, John Lygeros, Chris Baber, Natan Morar, Fabiana Fournier, Inna Skarbovsky:
An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management. CoRR abs/1703.02810 (2017)
Coauthor Index
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