"machine learning" - Selaus asiasanan mukaan Julkaisut
Viitteet 1-5 / 5
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Color-optimized one-pixel attack against digital pathology images
(Fruct oy, 2021)Modern artificial intelligence based medical imaging tools are vulnerable to model fooling attacks. Automated medical imaging methods are used for supporting the decision making by classifying samples as regular or as ... -
Model fooling attacks against medical imaging: a short survey
(ProCon, 2020)This study aims to find a list of methods to fool artificial neural networks used in medical imaging. We collected a short list of publications related to machine learning model fooling to see if these methods have been ... -
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer
(Association for computing machinery, 2021)Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection. If an attacker can manipulate the automated processing, the results can be devastating and in the worst case ... -
Prediction of spot prices in Nord Pool's Day-ahead market using machine and deep learning
(Springer, 2020)Aim of this paper is to describe and compare the machine learning and deep learning based forecasting models that predict Spot prices in Nord Pool’s Day-ahead market in Finland with open-source software. The liberalization ... -
Visibility estimation based on camera data and algorithm of snow recognition on traffic signs
(Liikenne- ja viestintävirasto Traficom, 2020)
