Department of Computer Science

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2025
Mark EzSkiROS : enhancing robot skill composition with embedded DSL for early error detection
Rizwan, Momina ^LU ; Reichenbach, Christoph ^LU ; Caldas, Ricardo ; Mayr, Matthias ^LU and Krueger, Volker ^LU (2025) In Frontiers in robotics and AI 11(2024).
- Contribution to journal › Article
Mark eHealth in Pediatric Surgery : Impact on Postsurgical Care After Reconstructive Surgery for Anorectal Malformations and Hirschsprung's Disease
Wester Fleur, Matilda ^LU ; Johnsson, Björn A. ^LU ; Castor, Charlotte ^LU and Stenström, Pernilla ^LU (2025) In Journal of Pediatric Surgery 60(5).
- Contribution to journal › Article
Mark Injecting conflict situations in autonomous driving simulation using CARLA
Mihaylova, Tsvetomila ; Reitmann, Stefan ^LU ; Topp, Elin Anna ^LU and Kyrki, Ville (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Framework for assessing situational awareness in Beyond Visual Line of Sight UAV operations
Maben, Rohith Prem ^LU ; Jena, Ayesha ^LU ; Reitmann, Stefan ^LU and Topp, Elin Anna ^LU (2025) 20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 In ACM/IEEE International Conference on Human-Robot Interaction p.1473-1477
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A comparative analysis of ML techniques for bug report classification
Laiq, Muhammad ; Ali, Nauman bin ; Börstler, Jürgen and Engström, Emelie ^LU (2025) In Journal of Systems and Software 227.
- Contribution to journal › Article
Mark Bayesian optimization in high dimensions : a journey through subspaces and challenges
Papenmeier, Leonard ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Unified framework for entropy search and expected improvement in Bayesian optimization
Cheng, Nuojin ; Papenmeier, Leonard ^LU ; Becker, Stephen and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Exploring exploration in Bayesian 0ptimization
Papenmeier, Leonard ^LU ; Cheng, Nuojin ; Becker, Stephen and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Understanding high-dimensional Bayesian optimization
Papenmeier, Leonard ^LU ; Poloczek, Matthias and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
Hellsten, Erik ^LU ; Hvarfner, Carl ^LU ; Papenmeier, Leonard ^LU and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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