Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovic,Nenad Filipovic,Milan Zdravkov Conference

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Using AutoML for AI Service Deployment cases of the service. We explore how the data from Feedback Data Base can be used to further improve Framework Recommendation System, as well as the potential benefits that AutoML researchers and developers can have from this data. The features of the service are outlined in a list of requirements that will be followed in the development process.

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Machine Learning Model as a Service in Smart Agriculture Systemsrt of Edge-Cloud-based Smart Agriculture System. To support this architecture, a prototype system that provides a machine learning model as a service in the agricultural domain is developed and tested.

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Overview of Deep Learning Methods for Retinal Vessel Segmentationdesign characteristics of the latest methods, (2) to report and analyze quantitative values of performance evaluation metrics, and (3) to analyze the advantages and disadvantages of the recent solutions.

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Paul I. Schneiderman,Marc E. Grossmandesign characteristics of the latest methods, (2) to report and analyze quantitative values of performance evaluation metrics, and (3) to analyze the advantages and disadvantages of the recent solutions.

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Prediction of Coronary Plaque Progression Using Data Mining and Artificial Neural Networksicians are often struggling with determining the rate of progression of the arterial narrowing caused by buildup of plaque. Computational models have brought upon a significant shift in the paradigm and the advent of Big Data and machine learning has enabled far better understanding of disease dynam

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