Linus Aronsson

According to our database, Linus Aronsson authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Effective Acquisition Functions for Active Correlation Clustering.

Linus Aronsson, Morteza Haghir Chehreghani

CoRR, 2024

2023

A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction.

Peter Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani

CoRR, 2023

Active Learning with Positive and Negative Pairwise Feedback.

Linus Aronsson, Morteza Haghir Chehreghani

CoRR, 2023

Batch Mode Deep Active Learning for Regression on Graph Data.

Peter Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Active learning of driving scenario trajectories.

Sanna Jarl, Linus Aronsson, Sadegh Rahrovani, Morteza Haghir Chehreghani

Eng. Appl. Artif. Intell., 2022