Titlebook: Machine Learning and Knowledge Extraction; Third IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2019

文化修養(yǎng)

書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)




書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)學科排名




書目名稱Machine Learning and Knowledge Extraction網絡公開度




書目名稱Machine Learning and Knowledge Extraction網絡公開度學科排名




書目名稱Machine Learning and Knowledge Extraction被引頻次




書目名稱Machine Learning and Knowledge Extraction被引頻次學科排名




書目名稱Machine Learning and Knowledge Extraction年度引用




書目名稱Machine Learning and Knowledge Extraction年度引用學科排名




書目名稱Machine Learning and Knowledge Extraction讀者反饋




書目名稱Machine Learning and Knowledge Extraction讀者反饋學科排名

慎重

Machine Learning Explainability Through Comprehensible Decision Trees,rotection Regulation establishes that citizens have the right to receive an explanation on automated decisions affecting them. For explainability to be scalable, it should be possible to derive explanations in an automated way. A common approach is to use simpler, more intuitive decision algorithms

吊胃口

New Frontiers in Explainable AI: Understanding the GI to Interpret the GO,sense of the reliability of their output (potentially a GO, a Garbage Out) in support of human decision making, especially in critical domains, like medicine. To this aim, we propose a framework where we distinguish between the Gold Standard (or Ground Truth) and the set of annotations from which th

痛得哭了

Automated Machine Learning for Studying the Trade-Off Between Predictive Accuracy and Interpretabil. Auto-ML methods normally maximize only predictive accuracy, ignoring the classification model’s interpretability – an important criterion in many applications. Hence, we propose a novel approach, based on Auto-ML, to investigate the trade-off between the predictive accuracy and the interpretabilit

安裝

Estimating the Driver Status Using Long Short Term Memory,ary task of driving and increases the driver’s cognitive load. Detecting potentially dangerous driving situations or automating some repetitive tasks, using Advanced Driver Assistance Systems (ADAS), and using autonomous vehicles to reduce human errors while driving are two suggested solutions to di

混雜人

hedonic

激勵

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Imagtic retinopathy screening is required because diabetic retinopathy does not show any symptoms in the initial stages, and can cause blindness if it is not diagnosed and treated promptly. This paper presents a novel diabetic retinopathy automatic detection in retinal images by implementing efficient i

胖人手藝好

圓柱