Kieker4DQL: Declarative Performance Measurement. - Matthias Blohm; Sebastian Vogel; Maksim Pahlberg; Jürgen Walter; Dusan Okanovic (Softwaretechnik-Trends, 2016)

Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension. - Matthias Blohm; Glorianna Jagfeld; Ekta Sood; Xiang Yu; Ngoc Thang Vu (CoNLL, 2018)

Conversational Agents for Insurance Companies: From Theory to Practice. - Falko Koetter; Matthias Blohm; Jens Drawehn; Monika Kochanowski; Joscha Goetzer; Daniel Graziotin; Stefan Wagner 001 (ICAART (Revised Selected Papers), 2019)

Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. - Falko Koetter; Matthias Blohm; Monika Kochanowski; Joscha Goetzer; Daniel Graziotin; Stefan Wagner 001 (ICAART (1), 2019)

Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms. - Matthias Blohm; Claudia Dukino; Maximilien Kintz; Monika Kochanowski; Falko Koetter; Thomas Renner (ICEIS (1), 2019)

Goal-based Evaluation of Text Mining Results in an Industrial Use Case. - Jens Drawehn; Matthias Blohm; Maximilien Kintz; Monika Kochanowski (ICPRAM, 2020)

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. - Marc Hanussek; Matthias Blohm; Maximilien Kintz (CoRR, 2020)

Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance. - Matthias Blohm; Marc Hanussek; Maximilien Kintz (ICAART (2), 2021)

Evaluation of Representation Models for Text Classification with AutoML Tools. - Sebastian Brändle; Marc Hanussek; Matthias Blohm; Maximilien Kintz (CoRR, 2021)