Titlebook: Interacting Stochastic Systems; Jean-Dominique Deuschel,Andreas Greven Book 2005 Springer-Verlag Berlin Heidelberg 2005 Branching process.

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Cholecystokinin

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Igor Chueshov,Michael Scheutzow,Björn Schmalfußognitive process automation, innovation, and organizational learning. The first step in this research is to clarify the AI adoption construct. The goal of the paper is thus to provide a conceptual definition, and deeper insights into the components of the AI adoption construct at the organizational

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Jean-Dominique Deuschel. In this paper, we propose XNAP, the first explainable, DNN-based PBPM technique for the next activity prediction. XNAP integrates a layer-wise relevance propagation method from the field of explainable artificial intelligence to make predictions of a long short-term memory DNN explainable by provi

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Ralf Korn,Olaf Menkensfe to the . for a successful completion of the remaining process. We devise three effective data degradation policies to realise and guide intra-process data degradation in business processes. We show through a proof-of-concept implementation the applicability of the introduced concept and the effec

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Ludwig Arnold,Igor Chueshov,Gunter Ochsfe to the . for a successful completion of the remaining process. We devise three effective data degradation policies to realise and guide intra-process data degradation in business processes. We show through a proof-of-concept implementation the applicability of the introduced concept and the effec

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Sergio Albeverio,Yuri Kondratiev,Tatiana Pasurek,Michael Röcknere for Healthcare (PODS4H).The fourth International Workshop on Process Querying (PQ).The second International Workshop on Security and Privacy-enhanced Business978-3-030-37452-5978-3-030-37453-2Series ISSN 1865-1348 Series E-ISSN 1865-1356

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Euclidean Gibbs Measures of Quantum Crystals: Existence, Uniqueness and a Priori Estimates, exponential decay of correlations, as well as Poincaré and log-Sobolev inequalities for the corresponding Dirichlet operators on loop lattices. In the special case of ferromagnetic models, we present the strongest result of such a type saying that uniqueness occurs for sufficiently small values of