| 2023 | ICAART | Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview. | Jakob Smedegaard Andersen |
| 2023 | ICAART | Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection. | Jakob Smedegaard Andersen, Olaf Zukunft |
| 2022 | ACL | Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers. | Jakob Smedegaard Andersen, Walid Maalej |
| 2022 | ICAART | Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop. | Jakob Smedegaard Andersen, Olaf Zukunft |
| 2022 | ICAART | More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop. | Jakob Smedegaard Andersen, Olaf Zukunft |
| 2021 | ACL | REM: Efficient Semi-Automated Real-Time Moderation of Online Forums. | Jakob Smedegaard Andersen, Olaf Zukunft, Walid Maalej |
| 2021 | EACL | Forum 4.0: An Open-Source User Comment Analysis Framework. | Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej |
| 2020 | COLING | Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs. | Jakob Smedegaard Andersen, Tom Schner, Walid Maalej |
| 2019 | EDBT | A User Centric Visual Analytics Framework for News Discussions. | Jakob Smedegaard Andersen |
| 2016 | BigData | Semi-clustering That Scales: An Empirical Evaluation of GraphX. | Jakob Smedegaard Andersen, Olaf Zukunft |