Titlebook: Secondary Mitral Valve Regurgitation; Khalil Fattouch,Patrizio Lancellotti,Gianni D. Ang Book 2015 Springer-Verlag London 2015 Ischemia.Mi

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Khalil Fattouch,Giacomo Murana,Sebastiano Castrovinci,Marco Moscarelli,Giuseppe Speziale models in decision support systems (DSS). Explanations are essential for bias detection and control of uncertainty since most accurate AI models are opaque with low transparency and comprehensibility. There are numerous criteria to choose from when evaluating explanation method quality. However, si

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Yan Topilski MD,Francesco Grigioni MD,Maurice Enriquez-Sarano MDrelying on third-party WAPIs to incorporate certain features into their applications. Consequently, WAPI evolution becomes more challenging in terms of the service provided according to consumers’ needs. When deciding on which changes to perform, besides several dynamic business requirements (from t

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Raluca Dulgheru,Paaladinesh Thavendiranathan,Khalil Fattouch,Mani Vannan,Patrizio Lancellottirelying on third-party WAPIs to incorporate certain features into their applications. Consequently, WAPI evolution becomes more challenging in terms of the service provided according to consumers’ needs. When deciding on which changes to perform, besides several dynamic business requirements (from t

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Patrizio Lancellotti,Raluca Dulgheru,Luc A. Pierardion, translation, summarization, and more. Currently, limited efforts have been devoted to providing a high-level and systematic description of their properties. Today’s primary source of information is the Hugging Face (HF) catalog, a rich digital repository for researchers and developers. Although

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Massimiliano Conte MD generated code to build language services and tooling, such as editors and views which are also tested to ensure their behavior. The metamodel evolution between releases updates the generated code, and this may impact the developers’ additional, client code. Accordingly, the impacted code must be c

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Amit Arora MD,Anelechi C. Anyanwu MDocessing techniques should be applied relies on the expertise of data scientists and/or ML practitioners. Since the correct application of some techniques depend on the characteristics of the data whereas others depend on the particular ML model to be trained, this leads to an error-prone process th

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