I am a PhD candidate in the Algorithms group at the Department of Informatics.
Buzz-words: Explainable AI, Machine Learning, Machine Teaching, Black-box machines.

Courses I have / are TAing:

- INF207: Fall 2022

-INF222: Spring 2023

 

Vitenskapelig artikkel

• Cesar, Ferri,; Garigliotti, Dario; Jose, Hernandez-Orallo, et al. (2026). When Redundancy Matters: Machine Teaching of Representations. (ekstern lenke)
• Ferri, Cesar; Garigliotti, Dario; Håvardstun, Brigt Arve Toppe et al. (2024). When Redundancy Matters: Machine Teaching of Representations. (ekstern lenke)
• Sunde, Joakim Hauger; Håvardstun, Brigt Arve Toppe; Kratochvil, Jan et al. (2024). On a Combinatorial Problem Arising in Machine Teaching. (ekstern lenke)
• Telle, Jan Arne; Ferri, Cesar; Håvardstun, Brigt Arve Toppe (2024). Optimal Robust Simplifications for Explaining Time Series Classifications. (ekstern lenke)
• Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Hernández-Orallo, José et al. (2022). On the trade-off between fidelity and teaching complexity. (ekstern lenke)

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

• Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Telle, Jan Arne (2024). An Interactive Tool for Interpretability of Time Series Classification. (ekstern lenke)
• Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Flikka, Kristian et al. (2024). XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users. (ekstern lenke)
• Håvardstun, Brigt Arve Toppe; Ferri, Cesar; Hernández-Orallo, José et al. (2023). XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features. (ekstern lenke)

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