Semi-clustering That Scales: An Empirical Evaluation of GraphX. - Jakob Smedegaard Andersen; Olaf Zukunft (BigData Congress, 2016)

Evaluating the Scaling of Graph-Algorithms for Big Data Using GraphX. - Jakob Smedegaard Andersen; Olaf Zukunft (OBD, 2016)

A User Centric Visual Analytics Framework for News Discussions. - Jakob Smedegaard Andersen (EDBT/ICDT Workshops, 2019)

Towards Visual Data Science - An Exploration. - Marina Tropmann-Frick; Jakob Smedegaard Andersen (IHIET, 2019)

Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs. - Jakob Smedegaard Andersen; Tom Schöner; Walid Maalej (COLING, 2020)

REM: Efficient Semi-Automated Real-Time Moderation of Online Forums. - Jakob Smedegaard Andersen; Olaf Zukunft; Walid Maalej (ACL (demo), 2021)

Forum 4.0: An Open-Source User Comment Analysis Framework. - Marlo Haering; Jakob Smedegaard Andersen; Chris Biemann; Wiebke Loosen; Benjamin Milde; Tim Pietz; Christian Stöcker; Gregor Wiedemann; Olaf Zukunft; Walid Maalej (EACL (System Demonstrations), 2021)

Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers. - Jakob Smedegaard Andersen; Walid Maalej (ACL (Findings), 2022)

The MINTFIT Computer Science Online Course. - Helena Barbas; Marcus Soll; Jakob Smedegaard Andersen; Esther Bender; Fabian Hamann; Michael Haustermann; Daniel Sitzmann (GeCon, 2022)

Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop. - Jakob Smedegaard Andersen; Olaf Zukunft (ICAART (2), 2022)

More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop. - Jakob Smedegaard Andersen; Olaf Zukunft (ICAART (Revised Selected Paper, 2022)

Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview. - Jakob Smedegaard Andersen (ICAART (3), 2023)

Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection. - Jakob Smedegaard Andersen; Olaf Zukunft (ICAART (3), 2023)

Explaining Prediction Uncertainty in Text Classification: The DUX Approach. - Jakob Smedegaard Andersen; Olaf Zukunft (NLPIR, 2023)

Design Patterns for Machine Learning Based Systems with Human-in-the-Loop. - Jakob Smedegaard Andersen; Walid Maalej (CoRR, 2023)

Design Patterns for Machine Learning-Based Systems With Humans in the Loop. - Jakob Smedegaard Andersen; Walid Maalej (IEEE Softw., 2024)

More Applicable Text Classification with Human-in-the-Loop: Patterns, Frameworks, and Tools. - Jakob Smedegaard Andersen (2024)