Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hanussek, Marc"'
Automated Machine Learning (AutoML) has gained increasing success on tabular data in recent years. However, processing unstructured data like text is a challenge and not widely supported by open-source AutoML tools. This work compares three manually
Externí odkaz:
http://arxiv.org/abs/2106.12798
With recent progress in the field of Explainable Artificial Intelligence (XAI) and increasing use in practice, the need for an evaluation of different XAI methods and their explanation quality in practical usage scenarios arises. For this purpose, we
Externí odkaz:
http://arxiv.org/abs/2102.06518
Recently, Automated Machine Learning (AutoML) has registered increasing success with respect to tabular data. However, the question arises whether AutoML can also be applied effectively to text classification tasks. This work compares four AutoML too
Externí odkaz:
http://arxiv.org/abs/2012.03575
Autor:
Papp, Harald, Hanussek, Marc
Finding a suited software solution for a company poses a resource-intensive task in an ever-widening market. Software should solve the technical task at hand as perfectly as possible and, at the same time, match the company strategy. Based on these t
Externí odkaz:
http://arxiv.org/abs/2012.01023
In the last few years, Automated Machine Learning (AutoML) has gained much attention. With that said, the question arises whether AutoML can outperform results achieved by human data scientists. This paper compares four AutoML frameworks on 12 differ
Externí odkaz:
http://arxiv.org/abs/2009.01564
Automated Machine Learning (AutoML) has gained increasing success on tabular data in recent years. However, processing unstructured data like text is a challenge and not widely supported by open-source AutoML tools. This work compares three manually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c68214777cce0fefb1837694f3250179
http://arxiv.org/abs/2106.12798
http://arxiv.org/abs/2106.12798