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PROJECT TITLE : Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach ABSTRACT: We are able to generate a process model by using automated process discovery techniques,
PROJECT TITLE : Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture ABSTRACT: Patients in the intensive care unit (ICU) who have diabetes have an increased
PROJECT TITLE : GPCA A Probabilistic Framework for Gaussian Process Embedded Channel Attention ABSTRACT: It is common practice to employ channel attention mechanisms in a variety of visual tasks in order to achieve effective
PROJECT TITLE : Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture ABSTRACT: Patients in the intensive care unit (ICU) who have diabetes have an increased
PROJECT TITLE : Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram ABSTRACT: In the field of machine learning, the multi-scale decision system, also known as MDS, is a useful tool for describing

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