Department of Computer Science
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- 2025
-
Mark
Using machine learning hardware to solve linear partial differential equations with finite difference methods
Boulasikis, Michail LU ; Gruian, Flavius LU
and Szász, Robert-Zoltán
LU
(2025)
In International Journal of Parallel Programming
53(2).
- Contribution to journal › Article
-
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
Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication
Ali, Hazem Ismail ; Kurunathan, Harrison ; Eldefrawy, Mohamed Hamdy ; Gruian, Flavius LU
and Jonsson, Magnus
(2025)
In IEEE Access
13.
p.24207-24222
- Contribution to journal › Article
-
Mark
Data-limited Continuous Experimentation (dlCE) : a literature review
Chren, Stanislav ; Fagerholm, Fabian ; Bjarnason, Elizabeth LU
; Linåker, Johan
LU
; Rafi, Saima
; Lehtelä, Bettina
; Runeson, Per
LU
and Kauppinen, Marjo
(2025)
15th International Conference on Software Business, ICSOB 2024
In Lecture Notes in Business Information Processing
539.
p.324-339
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Support, not automation : towards AI-supported code review for code quality and beyond
Gullstrand Heander, Lo LU
; Söderberg, Emma
LU
and Rydenfält, Christofer
LU
(2025)
33rd ACM International Conference on the Foundations of Software
Engineering p.591-595- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
What questions do developers ask during code review?
- Contribution to conference › Poster
-
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