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pro vyhledávání: '"P. Mock"'
In this paper, we present MADE-WIC, a large dataset of functions and their comments with multiple annotations for technical debt and code weaknesses leveraging different state-of-the-art approaches. It contains about 860K code functions and more than
Externí odkaz:
http://arxiv.org/abs/2408.05163
Publikováno v:
RSS Workshop on Semantics for Robotics: From Environment Understanding and Reasoning to Safe Interaction 2024
In this paper, we present a novel method for 3D geometric scene graph generation using range sensors and RGB cameras. We initially detect instance-wise keypoints with a YOLOv8s model to compute 6D pose estimates of known objects by solving PnP. We us
Externí odkaz:
http://arxiv.org/abs/2408.04979
Autor:
Böckenhauer, Hans-Joachim, Gehnen, Matthias, Hromkovič, Juraj, Klasing, Ralf, Komm, Dennis, Lotze, Henri, Mock, Daniel, Rossmanith, Peter, Stocker, Moritz
We analyze the competitive ratio and the advice complexity of the online unbounded knapsack problem. An instance is given as a sequence of n items with a size and a value each, and an algorithm has to decide how often to pack each item into a knapsac
Externí odkaz:
http://arxiv.org/abs/2407.02045
Autor:
Hense, Julius, Idaji, Mina Jamshidi, Eberle, Oliver, Schnake, Thomas, Dippel, Jonas, Ciernik, Laure, Buchstab, Oliver, Mock, Andreas, Klauschen, Frederick, Müller, Klaus-Robert
Multiple instance learning (MIL) is an effective and widely used approach for weakly supervised machine learning. In histopathology, MIL models have achieved remarkable success in tasks like tumor detection, biomarker prediction, and outcome prognost
Externí odkaz:
http://arxiv.org/abs/2406.04280
Developers use different means to document the security concerns of their code. Because of all of these opportunities, they may forget where the information is stored, or others may not be aware of it, and leave it unmaintained for so long that it be
Externí odkaz:
http://arxiv.org/abs/2405.10902
Test Driven Development (TDD) is one of the major practices of Extreme Programming for which incremental testing and refactoring trigger the code development. TDD has limited adoption in the industry, as it requires more code to be developed and expe
Externí odkaz:
http://arxiv.org/abs/2405.10849
Autor:
Mock, Michael, Schmidt, Sebastian, Müller, Felix, Görge, Rebekka, Schmitz, Anna, Haedecke, Elena, Voss, Angelika, Hecker, Dirk, Poretschkin, Maximillian
The trustworthiness of AI applications has been the subject of recent research and is also addressed in the EU's recently adopted AI Regulation. The currently emerging foundation models in the field of text, speech and image processing offer complete
Externí odkaz:
http://arxiv.org/abs/2405.04937
Autor:
Mock, Alyssa, Richter, Steffen, Papamichail, Alexis, Stanishev, Vallery, Ghezellou, Misagh, Ul-Hassan, Jawad, Popp, Andreas, Anooz, Saud Bin, Gogova, Daniella, Ranga, Praneeth, Krishnamoorthy, Sriram, Korlacki, Rafal, Schubert, Mathias, Darakchieva, Vanya
Monoclinic $\beta$-Ga$_2$O$_3$ films grown on $c$-plane sapphire have been shown to exhibit six $(\bar{2}01)$-plane oriented domains, which are equally-spaced-by-rotation around the surface normal and equally-sized-by-volume that render the film opti
Externí odkaz:
http://arxiv.org/abs/2404.07300
It is the purpose of this paper to present a computational framework for reliably determining the frequency-dependent intermolecular and intramolecular NMR dipole-dipole relaxation rate of spin $1/2$ nuclei from MD simulations. The approach avoids al
Externí odkaz:
http://arxiv.org/abs/2312.02712
This paper presents FeatSense, a feature-based GPU-accelerated SLAM system for high resolution LiDARs, combined with a map generation algorithm for real-time generation of large Truncated Signed Distance Fields (TSDFs) on embedded hardware. FeatSense
Externí odkaz:
http://arxiv.org/abs/2310.05766