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pro vyhledávání: '"Emmert-Streib, Frank"'
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 allows humans to interact more naturally with a machine, e.g., via a vi
Externí odkaz:
http://arxiv.org/abs/2209.12617
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
Publikováno v:
In Heliyon 15 March 2024 10(5)
Autor:
Yang, Zhen, Emmert-Streib, Frank
Publikováno v:
In Knowledge-Based Systems 25 January 2024 284
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 and received recently a revival in the form of deep neural networks. Som
Externí odkaz:
http://arxiv.org/abs/2008.05607
Autor:
Emmert-Streib, Frank
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, all these areas are generating digital traces of data amounting to big
Externí odkaz:
http://arxiv.org/abs/2008.12672
Autor:
Tripathi, Shailesh, Muhr, David, Manuel, Brunner, Emmert-Streib, Frank, Jodlbauer, Herbert, Dehmer, Matthias
The implementation of robust, stable, and user-centered data analytics and machine learning models is confronted by numerous challenges in production and manufacturing. Therefore, a systematic approach is required to develop, evaluate, and deploy suc
Externí odkaz:
http://arxiv.org/abs/2007.14791
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 challenges. One of these relates to the explainability of artificial int
Externí odkaz:
http://arxiv.org/abs/2001.09464
Autor:
Emmert-Streib, Frank1 (AUTHOR) v@bio-complexity.com
Publikováno v:
AI. Sep2023, Vol. 4 Issue 3, p721-728. 8p.