no code implementations • 24 Jun 2021 • Sebastian Brändle, Marc Hanussek, Matthias Blohm, Maximilien Kintz
Automated Machine Learning (AutoML) has gained increasing success on tabular data in recent years.
no code implementations • 7 Dec 2020 • Matthias Blohm, Marc Hanussek, Maximilien Kintz
Recently, Automated Machine Learning (AutoML) has registered increasing success with respect to tabular data.
no code implementations • 3 Sep 2020 • Marc Hanussek, Matthias Blohm, Maximilien Kintz
In the last few years, Automated Machine Learning (AutoML) has gained much attention.
no code implementations • 18 Dec 2019 • Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
In this work we investigate the potential use of conversational agents in insurance companies theoretically by determining which classes of agents exist which are of interest to insurance companies, finding relevant use cases and requirements.
no code implementations • 18 Dec 2018 • Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
Advances in artificial intelligence have renewed interest in conversational agents.
Human-Computer Interaction Computers and Society
1 code implementation • CONLL 2018 • Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu
We propose a machine reading comprehension model based on the compare-aggregate framework with two-staged attention that achieves state-of-the-art results on the MovieQA question answering dataset.