Linus Aronsson

According to our database, Linus Aronsson authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Cold-Start Active Correlation Clustering.

Linus Aronsson, Han Wu, Morteza Haghir Chehreghani

CoRR, September, 2025

AFABench: A Generic Framework for Benchmarking Active Feature Acquisition.

Valter Schütz, Han Wu, Reza Rezvan, Linus Aronsson, Morteza Haghir Chehreghani

CoRR, August, 2025

A Survey on Active Feature Acquisition Strategies.

Arman Rahbar, Linus Aronsson, Morteza Haghir Chehreghani

CoRR, February, 2025

An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks.

Linus Aronsson, Morteza Haghir Chehreghani

CoRR, February, 2025

2024

Correlation Clustering with Active Learning of Pairwise Similarities.

Linus Aronsson, Morteza Haghir Chehreghani

Trans. Mach. Learn. Res., 2024

A unified active learning framework for annotating graph data for regression tasks.

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

Eng. Appl. Artif. Intell., 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 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 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