Matthias Blohm

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 13

Top Topics

Reading Comprehension

Text Classification

Recurrent Neural Networks

Conversational Agents

Top Venues

Softwaretechnik-Trends

Publications

Sebastian Brändle, Marc Hanussek, Matthias Blohm, Maximilien Kintz
Evaluation of Representation Models for Text Classification with AutoML Tools. CoRR (2021)
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)
Matthias Blohm, Marc Hanussek, Maximilien Kintz
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. CoRR (2020)
Marc Hanussek, Matthias Blohm, Maximilien Kintz
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. CoRR (2020)
Jens Drawehn, Matthias Blohm, Maximilien Kintz, Monika Kochanowski
Goal-based Evaluation of Text Mining Results in an Industrial Use Case. ICPRAM (2020)
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)
Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
Conversational Agents for Insurance Companies: From Theory to Practice. CoRR (2019)
Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
Conversational Agents for Insurance Companies: From Theory to Practice. ICAART (Revised Selected Papers) (2019)
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)
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 (2018)
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)
Falko Koetter, Matthias Blohm, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. CoRR (2018)
Matthias Blohm, Sebastian Vogel, Maksim Pahlberg, Jürgen Walter, Dusan Okanovic
Kieker4DQL: Declarative Performance Measurement. Softwaretechnik-Trends 36 (4) (2016)