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Matthias Blohm
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2020 – today
- 2021
- [c6]Matthias Blohm, Marc Hanussek, Maximilien Kintz:
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. ICAART (2) 2021: 1131-1136 - [i6]Sebastian Brändle, Marc Hanussek, Matthias Blohm, Maximilien Kintz:
Evaluation of Representation Models for Text Classification with AutoML Tools. CoRR abs/2106.12798 (2021) - 2020
- [c5]Jens Drawehn, Matthias Blohm, Maximilien Kintz, Monika Kochanowski:
Goal-based Evaluation of Text Mining Results in an Industrial Use Case. ICPRAM 2020: 183-191 - [i5]Marc Hanussek, Matthias Blohm, Maximilien Kintz:
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. CoRR abs/2009.01564 (2020) - [i4]Matthias Blohm, Marc Hanussek, Maximilien Kintz:
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. CoRR abs/2012.03575 (2020)
2010 – 2019
- 2019
- [c4]Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin
, Stefan Wagner
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. ICAART (1) 2019: 19-30 - [c3]Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin
Conversational Agents for Insurance Companies: From Theory to Practice. ICAART (Revised Selected Papers) 2019: 338-362 - [c2]Matthias Blohm, Claudia Dukino, Maximilien Kintz, Monika Kochanowski, Falko Koetter, Thomas Renner:
Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms. ICEIS (1) 2019: 454-461 - [i3]Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner:
Conversational Agents for Insurance Companies: From Theory to Practice. CoRR abs/1912.08473 (2019) - 2018
- [c1]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoNLL 2018: 108-118 - [i2]Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu:
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. CoRR abs/1808.08744 (2018) - [i1]Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner:
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. CoRR abs/1812.07339 (2018) - 2016
- [j1]Matthias Blohm, Sebastian Vogel, Maksim Pahlberg, Jürgen Walter, Dusan Okanovic:
Kieker4DQL: Declarative Performance Measurement. Softwaretechnik-Trends 36(4) (2016)
Coauthor Index
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