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Monthly Archives: January 2018
Best seven books to check out in 2018 for Machine/Deep Learning and Medical Image Computing
Whether you are teacher, student, computer scientist, or proficient machine learning programmer, there are many times where having a solid reference library on the topic can save you a lot of time and help you to prepare material for your next … Continue reading
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New findings on enhancing interpretability of automatically extracted machine learning features
Sharing recent findings on Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation https://authors.elsevier.com/c/1WKpf4rfPluH2D Abstract: Machine learning systems are achieving better performances at the cost of becoming increasingly complex. However, because of that, … Continue reading
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