Jakob Smedegaard Andersen

Orcid: 0000-0001-8606-9743

According to our database1, Jakob Smedegaard Andersen authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Design Patterns for Machine Learning Based Systems with Human-in-the-Loop.
CoRR, 2023

Explaining Prediction Uncertainty in Text Classification: The DUX Approach.
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Why Do We Need Domain-Experts for End-to-End Text Classification? An Overview.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
More Sustainable Text Classification via Uncertainty Sampling and a Human-in-the-Loop.
Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022

Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

The MINTFIT Computer Science Online Course.
Proceedings of the IEEE German Education Conference, GeCon 2022, Berlin, 2022

Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Forum 4.0: An Open-Source User Comment Analysis Framework.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

REM: Efficient Semi-Automated Real-Time Moderation of Online Forums.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Towards Visual Data Science - An Exploration.
Proceedings of the Human Interaction and Emerging Technologies, 2019

A User Centric Visual Analytics Framework for News Discussions.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

2016
Evaluating the Scaling of Graph-Algorithms for Big Data Using GraphX.
Proceedings of the 2nd International Conference on Open and Big Data, 2016

Semi-clustering That Scales: An Empirical Evaluation of GraphX.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016


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