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Machine Learning, Deep Learning und Artificial Intelligence
Die Trennung von Artificial Intelligence, Machine Learning und Deep Learning als unabhängige Techniken ist eine Voraussetzung für das Data...
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Is there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion....
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e-Testing from artificial intelligence approach
This paper presents a review of advanced technologies for e-testing using an artificial intelligence approach. First, this paper introduces...
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Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“
Statistics as a subject has to sustain its position in a fast changing environment which is characterized by the rise of Data Science, the growth of...
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A peek inside two black boxes-an experiment with explainable artificial intelligence and IPCC leadership
In this paper, we devise a machine-learning approach to tackle the complex task of investigating leaders in a multi-national organisation: the...
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Artificial Neural Networks
This chapter treats artificial neural networks (ANNs), a simplified computational representation of a biological neural system constituting the brain...
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Artificial Intelligence in Oncology
Cancer is a very challenging disease. The medical treatment of cancer has to face the ability of cancer cells to develop a multiple resistance...
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Artificial Intelligence and Machine Learning: An Instructor’s Exoskeleton in the Future of Education
The role of artificial intelligence in US education is expanding. As education moves toward providing customized learning paths, the use of...
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An Artificial Intelligence Approach for Gene Editing Off-Target Quantification: Convolutional Self-attention Neural Network Designs and Considerations
In the CRISPR-based gene-editing system, an important issue is the off-target cleavage which could alter the functions of unintended genes and induce...
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Artificial Intelligence, Big Data and Data Science in Statistics Challenges and Solutions in Environmetrics, the Natural Sciences and Technology
This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental...
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Research on the Recommendation Method of Postgraduate Supervisor Based on Natural Intelligence Information Integration
In response to the difficulty of choosing a supervisor for prospective postgraduate, this research proposes a method for recommending postgraduate...
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Shapley-Lorenz Values for Credit Risk Management
A trustworthy application of Artificial Intelligence requires to measure in advance its possible risks. When applied to regulated industries, such as...
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Modern Machine Learning Methods for Time Series Analysis
Artificial intelligence (AI) has gained considerable achievements over the last decades, and AI methods have been proposed as alternatives to...
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AI-Powered Bayesian Statistics in Biomedicine
Statistics and artificial intelligence (AI) are distinct yet closely interconnected disciplines, each characterized by its own historical roots and...
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Integrated assessment of financial knowledge through a latent profile analysis
Knowledge is defined as a multi-faceted latent variable that is not directly measurable but through manifest variables, i.e., items. Latent variable...
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Optimal Combination Forecast for Bitcoin Dollars Time Series
Bitcoin has been the most used blockchain platform in business and finance in recent years. This paper aims to find a reliable prediction model that...
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Die AI Factory der ERGO
Daten sind für (Erst-)Versicherer wichtige strategische Vermögenswerte. Dennoch scheinen erfolgreiche Advanced-Analytics-Projekte, die auf dem über...
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Computational Wizardry
In recent years, the field of artificial intelligence (AI) has been transformed by a new paradigm based on machine learning, powered by incredible...
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A Note on Artificial Intelligence and Statistics
Now that data science receives a lot of attention, the three disciplines of data analysis, databases, and sciences are discussed with respect to the...