Hendrik Heuer

Hendrik Heuer University of Bremen

CS Ph.D. student at ifib & Uni Bremen, supervised by Prof. Dr. Andreas Breiter. Diplomi-insinööri (Master of Science), Aalto University and KTH Royal Institute of Technology.

My research focuses on Human-Computer Interaction and Trust in Machine Learning. I studied Digital Media, Human-Computer Interaction, and Machine Learning in Bremen, Buffalo, Stockholm, Helsinki, and Amsterdam.

Semantic and stylistic text analysis

Master of Science
KTH Royal Institute of Technology
&
Aalto University
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WILD & TAME

Bachelor project
Spherical robot with a personality
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Music composition aid

Bachelor of Science
University of Bremen
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Blind Tennis

iPhone music game
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Publications

Heuer, H., Breiter, A. (2020). More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '20).
Heuer, H., Breiter, A. (2020). How Fake News Affect Trust in the Output of a Machine Learning System for News Curation. In Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM '20).
Kariryaa, A., Rundé, S., Heuer, H., Jungherr, A. and Schöning, J. (2020). The Role of Flag Emoji in Online Political Communication. Social Science Computer Review.
Heuer, H., Polizzotto, A., Marx, F. and Breiter, A. (2019). Visualization Needs in Computational Social Sciences. In Proceedings of Mensch und Computer 2019, pp. 463–468.
Soroko, D., Döge, N., Al-Shafeei, A. and Heuer, H. (2019). Unpacking a Model: An Interactive Visualization of a Text Similarity Algorithm for Legal Documents. In Proceedings of Mensch und Computer 2019, pp. 875–879.
Spliethöver, M., Klaff, J. and Heuer, H. (2019). Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation. In Proceedings of ACL 2019 6th Workshop on Argument Mining.
Heuer, H. and Breiter, A. (2018). Trust in News on Social Media. In Proceedings of the 10th Nordic Conference on Human-Computer Interaction, pp. 137–147.
Heuer, H. and Breiter, A. (2018). Student Success Prediction and the Trade-Off between Big Data and Data Minimization. In Proceedings of DeLFI 2018 - Die 16. E-Learning Fachtagung Informatik.
Heuer, H., Monz, C. and Smeulders, A. W. (2016). Generating Captions Without Looking Beyond Objects. In Proceedings of ECCV 2016 2nd Workshop on Storytelling with Images and Videos.
Heuer, H. (2016). Text Comparison Using Word Vector Representations and Dimensionality Reduction. In Proceedings of EuroSciPy 2015.
Heibeck, F., Hespenheide, J., Heuer, H., Krüger, M. and Roetmann, W. (2011). WILD & TAME - System-Demonstration, In Proceedings of Mensch und Computer 2011.

Talks

The Public Availability of Machine Learning and its Harmful Secondary Effects

Data Power, Bremen, Germany, 2019
Video Together with Juliane Jarke.

Trust and Machine Learning

EASST European Association for the Study of Science and Technology, Lancaster, United Kingdom, 2018
Together with Andreas Breiter.

Beeinflussung durch Künstliche Intelligenz

34th Chaos Communication Congress, Leipzig, Germany, 2017
Video Slides
Together with Karen Ullrich. We were mentioned in Die Zeit and Süddeutsche Zeitung.
English Translation: Artificial Intelligence and how it influences our public life Video

Data Science for Digital Humanities: Extracting meaning from Images and Text

PyData, Berlin, Germany, 2017
Video

Hacking Human Language

PyCon Sweden, Stockholm, Sweden, 2015
Video

Teaching

Data Science: Applied Machine Learning (Virtual)

University of Bremen, Summer Term 2020

CoVIS: CoCreating a Visualisation Information System (Master Project)

University of Bremen, Winter Term 2018, together with Andreas Breiter

Computational Social Science

University of Bremen, Summer Term 2018, together with Andreas Breiter

Data Science: Applied Machine Learning

University of Bremen, Summer Term 2018

AViDa - Analysis and Visualisation of Data (Bachelor Project)

University of Bremen, Winter Term 2017, together with Emese Stauke

Data Science

University of Bremen, Summer Term 2017

In Data We Trust: Fairness, accountability, and transparency

University of Bremen, Summer Term 2017, together with Juliane Jarke and Raoni Rajão

Information Technology Management II

University of Bremen, Winter Term 2016, together with Emese Stauke

The Future of Information Systems Education (Virtual Seminar)

University of Bremen, Winter Term 2016, together with Sara Hofmann

Student Supervision

I supervised the following final theses:

Semi-Supervised Sentence Classification through Topic Modeling
Nina Döge (co-supervised with Prof. Dr. Andreas Breiter)
A Comparative Analysis of Lexical and Semantic Evaluation Metrics for Multi-Document Summaries
Maximilian Spliethöver (co-supervised with Prof. Dr. Andreas Breiter)
Argumentative Sentence Detection
Jonas Klaff (co-supervised with Prof. Dr. Andreas Breiter)
Mapping Music to Emotion - A Machine Learning Approach to Music Recommendation
Saman Arefi Nejad (co-supervised with Prof. Dr. Andreas Breiter)
Utilising Iterative Interface Design And User Experience Research For Efficient Interaction With Predictive Maintenance Applications
Robin Wolfrath (co-supervised with Prof. Dr. Andreas Breiter)
Stilistische Textanalyse von WG-Angeboten zur Prognose der Bewerberauswahl
Nathalie Lahn (co-supervised with Prof. Dr. Andreas Breiter)
Evaluation von Visualisierungstechniken: Ihre Eignung am Beispiel von journalistischen Themen
Anna Polizzotto (co-supervised with Prof. Dr. Andreas Breiter)
Vergleich heterogener Textquellen am Beispiel von Universität und Arbeitsmarkt
Ezgi Tüter (co-supervised with Prof. Dr. Andreas Breiter)
Automatic Comment Generation using a Neural Translation Model
Tjalling Haije (co-supervised with Dr. Efstratios Gavves, Universiteit van Amsterdam)

Miscellaneous

I'm the bass player of Die Tulpen (The Tulips) and was part of the Automatic Orchestra (Wired, Creative Applications).

If you would like to study abroad, I highly recommend the EIT Digital Master School.

I also highly recommend the Lisbon Machine Learning Summer School.

This website is based on the Avana theme by Designstub.

Semantic and stylistic text analysis

WILD & TAME

Music composition aid

Blind Tennis