Image Segmentation

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• Worms: Worms refer to a type of malware that replicates itself in order to spread to other computers and networks. In the context of data science and artificial intelligence, worms can be used to collect and transmit data from infected machines to ... Read More >>
• Cost-sensitive Learning: Cost-sensitive learning is a machine learning approach that takes into account the cost of misclassification errors. In traditional machine learning, the goal is to minimize the overall error rate, regardless of the cost of different types ... Read More >>
• Cox Proportional Hazards Model: Cox Proportional Hazards Model is a statistical model used to analyze survival data in the presence of one or more covariates. It is a semi-parametric model that assumes the hazard rate of an event is proportional to the covariates. The mod ... Read More >>