首页|Studies from University of Paris Saclay Add New Findings in the Area of Machine Learning (Visualizing and Comparing Machine Learning Predictions To Improve Huma n-ai Teaming On the Example of Cell Lineage)
Studies from University of Paris Saclay Add New Findings in the Area of Machine Learning (Visualizing and Comparing Machine Learning Predictions To Improve Huma n-ai Teaming On the Example of Cell Lineage)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Palaiseau, France, by NewsRx journalists, research stated, “We visualize the predictions ofmultiple machine learning models to help biologists as they interactively make decisions about cell lineagethedevelopment of a (plant) embryo from a single ovum cell. Based on a confocal microscopy dataset,traditionally biologists manually constr ucted the cell lineage, starting from this observation and reasoningbackward in time to establish their inheritance.”
PalaiseauFranceEuropeCell LineCy borgsEmerging TechnologiesMachine LearningUniversity of Paris Saclay
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