Karin Hammerfald

According to our database, Karin Hammerfald authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

Deep Neural Decision Forest for Clinical Outcome Prediction in Multiview ICBT Tabular Data.

Sameen Mansha, Anne Håkansson, Karin Hammerfald, Henrik Haaland Jahren, Vladimir Vlassov

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills.

Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Vladimir Vlassov

CoRR, March, 2025

2024

A Scalable System Architecture for Composition and Deployment of Machine Learning Models in Cognitive Behavioral Therapy.

Fabian Schmidt, Maximilian Georg Kurzawski, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Vladimir Vlassov

Proceedings of the IEEE International Conference on Digital Health, 2024

Single-pass Hierarchical Text Classification with Large Language Models.

Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders.

Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov

Proceedings of the IEEE International Conference on Digital Health, 2023