A Framework for Verifiable and Auditable Collaborative Anomaly Detection von Santin, Gabriele, Skarbovsky, Inna, Fournier, Fabiana, Lepri, Bruno

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Enriching Smart Contracts with Temporal Aspects von Fournier, Fabiana, Skarbovsky, Inna

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Drilling Into Dashboards: Responding to Computer Recommendation in Fraud Analysis von Morar, Natan, Baber, Chris, McCabe, Faye, Starke, Sandra D., Skarbovsky, Inna, Artikis, Alexander, Correai, Ivo

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Situation-Aware eXplainability for Business Processes Enabled by Complex Events von Amit, Guy, Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna

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Big Data and Artificial Intelligence in Digital Finance: Increasing Personalization and Trust in Digital Finance using Big Data and AI von Soldatos, John, Kyriazis, Dimosthenis

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Towards a Benchmark for Causal Business Process Reasoning with LLMs von Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna

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Big Data-Driven Industry 4.0 Service Engineering Large-Scale Trials: The Boost 4.0 Experience von Lázaro, Oscar, Alonso, Jesús, Figueiras, Paulo, Costa, Ruben, Graça, Diogo, Garcia, Gisela, Canepa, Alessandro, Calefato, Caterina, Vallini, Marco, Fournier, Fabiana, Hazout, Nathan, Skarbovsky, Inna, Poulakidas, Athanasios, Sipsas, Konstantinos

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The WHY in Business Processes: Discovery of Causal Execution Dependencies von Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna, David, Yuval

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Monetizing Currency Pair Sentiments through LLM Explainability von Limonad, Lior, Fournier, Fabiana, Díaz, Juan Manuel Vera, Skarbovsky, Inna, Gur, Shlomit, Lazcano, Raquel

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How well can large language models explain business processes as perceived by users? von Fahland, Dirk, Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna, Swevels, Ava J. E

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A Framework for Verifiable and Auditable Federated Anomaly Detection von Santin, Gabriele, Skarbovsky, Inna, Fournier, Fabiana, Lepri, Bruno

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Towards a Benchmark for Causal Business Process Reasoning with LLMs von Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna

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The WHY in Business Processes: Discovery of Causal Execution Dependencies von Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna, Yuval, David

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SITUATION-AWARE EXPLAINABILITY FOR ARTIFICIAL INTELLIGENCE-ENABLED, PROCESS-AWARE SYSTEMS USING COMPLEX EVENT PROCESSING von Inna, Skarbovsky Yudovich, Limonad, Lior, Fournier, Fabiana, Amit, Guy

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Situation-aware explainability for artificial intelligence-enabled, process-aware systems using complex event processing von Inna, Skarbovsky Yudovich, Limonad, Lior, Fournier, Fabiana, Amit, Guy

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How well can large language models explain business processes as perceived by users? von Fahland, Dirk, Fournier, Fabiana, Limonad, Lior, Skarbovsky, Inna, Swevels, Ava J E

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Monetizing Currency Pair Sentiments through LLM Explainability von Limonad, Lior, Fournier, Fabiana, Vera Díaz, Juan Manuel, Skarbovsky, Inna, Gur, Shlomit, Lazcano, Raquel

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Method and system for complex event processing with latency constraints von Fournier, Fabiana, Kofman, Alexander, Skarbovsky, Inna, Nisenson, Mordechai

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Reactive Rules-Based Dependency Resolution for Monitoring Dynamic Environments von Gilat, Dagan, Ronen, Royi, Rothblum, Ron, Sharon, Guy, Skarbovsky, Inna

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Reactive rules-based dependency resolution for monitoring eynamic environments von GILAT, Dagan, RONEN, Royi, ROTHBLUM, Ron, SHARON, Guy, SKARBOVSKY, Inna

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