Linus Aronsson

13 papers A* 1A 1B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 A conf
Cold-Start Active Correlation Clustering.
WSDM
Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
2025 J jnl
A Survey on Active Feature Acquisition Strategies.
CoRR
Arman Rahbar, Linus Aronsson, Morteza Haghir Chehreghani
2025 J jnl
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition.
CoRR
Valter Schütz, Han Wu, Reza Rezvan, Linus Aronsson, Morteza Haghir Chehreghani
2025 J jnl
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks.
CoRR
Linus Aronsson, Morteza Haghir Chehreghani
2025 J jnl
Cold-Start Active Correlation Clustering.
CoRR
Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
2025 A* conf
Information-Theoretic Active Correlation Clustering.
ICDM
Linus Aronsson, Morteza Haghir Chehreghani
2024 J jnl
A unified active learning framework for annotating graph data for regression tasks.
Eng. Appl. Artif. Intell.
Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2024 J jnl
Correlation Clustering with Active Learning of Pairwise Similarities.
Trans. Mach. Learn. Res.
Linus Aronsson, Morteza Haghir Chehreghani
2024 J jnl
Effective Acquisition Functions for Active Correlation Clustering.
CoRR
Linus Aronsson, Morteza Haghir Chehreghani
2023 J jnl
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction.
CoRR
Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2023 J jnl
Active Learning with Positive and Negative Pairwise Feedback.
CoRR
Linus Aronsson, Morteza Haghir Chehreghani
2023 B conf
Batch Mode Deep Active Learning for Regression on Graph Data.
IEEE Big Data
Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani
2022 J jnl
Active learning of driving scenario trajectories.
Eng. Appl. Artif. Intell.
Sanna Jarl, Linus Aronsson, Sadegh Rahrovani, Morteza Haghir Chehreghani