107 citations · 276 across the 13 of their papers we have counts for
13 papers
Evaluation of Question Answering Systems: Complexity of judging a natural language
Amer Farea, Zhen Yang, Kien Duong +2
Question answering (QA) systems are among the most important and rapidly developing research topics in natural language processing (NLP). A reason, therefore, is that a QA system a…
A clarification of misconceptions, myths and desired status of artificial intelligence
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
The field artificial intelligence (AI) has been founded over 65 years ago. Starting with great hopes and ambitious goals the field progressed though various stages of popularity an…
From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence
Frank Emmert-Streib
Technological progress has led to powerful computers and communication technologies that penetrate nowadays all areas of science, industry and our private lives. As a consequence,…
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
Shailesh Tripathi, David Muhr, Brunner Manuel +3
The implementation of robust, stable, and user-centered data analytics and machine learning models is confronted by numerous challenges in production and manufacturing. Therefore,…
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective
Frank Emmert-Streib, Olli Yli-Harja, Matthias Dehmer
We are used to the availability of big data generated in nearly all fields of science as a consequence of technological progress. However, the analysis of such data possess vast ch…
Quantitative Graph Theory: A new branch of graph theory and in network science
Matthias Dehmer, Frank Emmert-Streib, Yongtang Shi
In this paper, we describe {\sc quantitative graph theory} and argue it is a new graph-theoretical branch in network science, however, with significant different features compared…