Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data. - Anna Jenul; Stefan Schrunner; Runar Helin; Kristian Hovde Liland; Cecilia Marie Futsaether; Oliver Tomic (CoRR, 2021)

Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. - Anna Jenul; Stefan Schrunner; Bao-Ngoc Huynh; Runar Helin; Cecilia Marie Futsaether; Kristian Hovde Liland; Oliver Tomic (ICANN (4), 2022)

Uncertainty Quantification in the Tsetlin Machine. - Runar Helin; Ole-Christoffer Granmo; Mayur Kishor Shende; Lei Jiao 001; Vladimir I. Zadorozhny; Kunal Ganesh Dumbre; Rishad A. Shafik; Alex Yakovlev (CoRR, 2025)

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs. - Ole-Christoffer Granmo; Youmna Abdelwahab; Per-Arne Andersen; Paul F. A. Clarke; Kunal Ganesh Dumbre; Ylva Grønninsæter; Vojtech Halenka; Runar Helin; Lei Jiao 001; Ahmed Khalid; Rebekka Olsson Omslandseter; Rupsa Saha; et al. (CoRR, 2025)