Jakob Smedegaard Andersen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Computer Science

Text Classification

Top Venues

EACL (System Demonstrations)

Publications

Jakob Smedegaard Andersen, Walid Maalej
Design Patterns for Machine Learning-Based Systems With Humans in the Loop. IEEE Softw. 41 (4) (2024)
Jakob Smedegaard Andersen, Walid Maalej
Design Patterns for Machine Learning Based Systems with Human-in-the-Loop. CoRR (2023)
Jakob Smedegaard Andersen, Olaf Zukunft
Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection. ICAART (3) (2023)
Jakob Smedegaard Andersen
Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview. ICAART (3) (2023)
Jakob Smedegaard Andersen, Olaf Zukunft
Explaining Prediction Uncertainty in Text Classification: The DUX Approach. NLPIR (2023)
Jakob Smedegaard Andersen, Olaf Zukunft
Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop. ICAART (2) (2022)
Jakob Smedegaard Andersen, Walid Maalej
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers. ACL (Findings) (2022)
Jakob Smedegaard Andersen, Olaf Zukunft
More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop. ICAART (Revised Selected Paper (2022)
Jakob Smedegaard Andersen, Walid Maalej
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers. CoRR (2022)
Helena Barbas, Marcus Soll, Jakob Smedegaard Andersen, Esther Bender, Fabian Hamann, Michael Haustermann, Daniel Sitzmann
The MINTFIT Computer Science Online Course. GeCon (2022)
Jakob Smedegaard Andersen, Olaf Zukunft, Walid Maalej
REM: Efficient Semi-Automated Real-Time Moderation of Online Forums. ACL (demo) (2021)
Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian Stöcker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej
Forum 4.0: An Open-Source User Comment Analysis Framework. EACL (System Demonstrations) (2021)
Jakob Smedegaard Andersen, Tom Schöner, Walid Maalej
Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs. COLING (2020)
Marina Tropmann-Frick, Jakob Smedegaard Andersen
Towards Visual Data Science - An Exploration. IHIET (2019)
Jakob Smedegaard Andersen
A User Centric Visual Analytics Framework for News Discussions. EDBT/ICDT Workshops (2019)
Jakob Smedegaard Andersen, Olaf Zukunft
Semi-clustering That Scales: An Empirical Evaluation of GraphX. BigData Congress (2016)
Jakob Smedegaard Andersen, Olaf Zukunft
Evaluating the Scaling of Graph-Algorithms for Big Data Using GraphX. OBD (2016)