Titlebook: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; European Conference, Albert Bifet,Tomas Krilavičius,Slaw

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Min Tang,Lixin Zou,Shujie Cui,Shiuan-ni Liang,Zhe Jin Friedrich II. (10.3.1761) gegen die Autoren ins Feld führen, dass diese „die berühmtesten Gelehrten in allen Landen auf die unhöflichste und unverantwortlichste Art mißhandeln“ und „weder gegen Gott noch gegen Menschen Ehrerbietung haben“ (zit. nach GEL, 344f.).

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Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detectionsignificant advancement in the automated analysis of sperm motility and aggregation phenomena, providing a robust tool for researchers to study sperm behavior with enhanced accuracy and efficiency. The integration of machine learning techniques in sperm cell detection and tracking offers promising i

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DISCO: An End-to-End Bandit Framework for Personalised Discount Allocationles, in which customers increasing their purchasing in response to lower prices (“negative price elasticity"). These aims were achieved by using radial basis functions to represent the continuous (i.e. infinite armed) action space, in combination with context embeddings extracted from a neural netwo

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Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches phase, while maintaining imbalanced partitions in the testing data for realistic evaluation. We use a composite skill score (CSS) as our evaluation metric, computed as the geometric mean of the True Skill Score (TSS) and the Heidke Skill Score (HSS) to rank and compare models. The primary contribut

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Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturingtitioners in the field often have to spend a considerable amount of time on researching the right combination for their use-case at hand. Our contribution is to help practitioners with this choice by reviewing and evaluating current vision transformer models together with anomaly detection methods.