Joakim Edin

According to our database, Joakim Edin authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Symphony for Medical Coding: A Next-Generation Agentic System for Scalable and Explainable Medical Coding.

Joakim Edin, Andreas Geert Motzfeldt, Simon Flachs, Lars Maaløe

CoRR, March, 2026

A medical coding language model trained on clinical narratives from a population-wide cohort of 1.8 million patients.

Joakim Edin, Sedrah B. Balaganeshan, Annike Kjølby Kristensen, Lars Maaløe, Ioannis Louloudis, Søren Brunak

CoRR, March, 2026

2025

GIM: Improved Interpretability for Large Language Models.

Joakim Edin, Róbert Csordás, Tuukka Ruotsalo, Zhengxuan Wu, Maria Maistro, Jing Huang, Lars Maaløe

CoRR, May, 2025

Code Like Humans: A Multi-Agent Solution for Medical Coding.

Andreas Geert Motzfeldt, Joakim Edin, Casper L. Christensen, Christian Hardmeier, Lars Maaløe, Anna Rogers

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attributions Explainability.

Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability.

Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro

CoRR, 2024

An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records.

Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study.

Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Self-Supervised Speech Representation Learning: A Review.

Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe

IEEE J. Sel. Top. Signal Process., 2022

A Brief Overview of Unsupervised Neural Speech Representation Learning.

Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel

CoRR, 2022

2021

Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?

Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel

CoRR, 2021

2020

MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jakobsen, Regitze Sdun, Zeljko Agic

CoRR, 2020

MultiQT: Multimodal learning for real-time question tracking in speech.

Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun, Zeljko Agic

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

A New Fully Automated Random-Forest Algorithm for Sleep Staging.

Aske B. Klok, Joakim Edin, Matteo Cesari, Alexander Neergaard Olesen, Poul Jennum, Helge B. D. Sørensen

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018