Zobrazeno 1 - 10
of 19 146
pro vyhledávání: '"Märtens A"'
Autor:
Izzo, Dario, Märtens, Marcus, Beauregard, Laurent, Bannach, Max, Acciarini, Giacomo, Blazquez, Emmanuel, Hadjiivanov, Alexander, Grover, Jai, Heißel, Gernot, Shimane, Yuri, Yam, Chit Hong
In 2023, the 12th edition of Global Trajectory Competition was organised around the problem referred to as "Sustainable Asteroid Mining". This paper reports the developments that led to the solution proposed by ESA's Advanced Concepts Team. Beyond th
Externí odkaz:
http://arxiv.org/abs/2410.20839
Autor:
Gao, Yifan, Mughal, Zakariyya, Jaramillo-Villegas, Jose A., Corradi, Marie, Borrel, Alexandre, Lieberman, Ben, Sharif, Suliman, Shaffer, John, Fecho, Karamarie, Chatrath, Ajay, Maertens, Alexandra, Teunis, Marc A. T., Kleinstreuer, Nicole, Hartung, Thomas, Luechtefeld, Thomas
Researchers in biomedical research, public health, and the life sciences often spend weeks or months discovering, accessing, curating, and integrating data from disparate sources, significantly delaying the onset of actual analysis and innovation. In
Externí odkaz:
http://arxiv.org/abs/2408.17320
Synthetic Lunar Terrain (SLT) is an open dataset collected from an analogue test site for lunar missions, featuring synthetic craters in a high-contrast lighting setup. It includes several side-by-side captures from event-based and conventional RGB c
Externí odkaz:
http://arxiv.org/abs/2408.16971
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8963-8974, Torino, Italia. ELRA and ICCL
InaGVAD is an audio corpus collected from 10 French radio and 18 TV channels categorized into 4 groups: generalist radio, music radio, news TV, and generalist TV. It contains 277 1-minute-long annotated recordings aimed at representing the acoustic d
Externí odkaz:
http://arxiv.org/abs/2406.04429
Autor:
Van Petegem, Charlotte, Demeyere, Kasper, Maertens, Rien, Strijbol, Niko, De Wever, Bram, Mesuere, Bart, Dawyndt, Peter
In programming education, providing manual feedback is essential but labour-intensive, posing challenges in consistency and timeliness. We introduce ECHO, a machine learning method to automate the reuse of feedback in educational code reviews by anal
Externí odkaz:
http://arxiv.org/abs/2405.01579
Autor:
Märtens, Kaspar, Yau, Christopher
Generative models for multimodal data permit the identification of latent factors that may be associated with important determinants of observed data heterogeneity. Common or shared factors could be important for explaining variation across modalitie
Externí odkaz:
http://arxiv.org/abs/2403.06338
Autor:
Maertens, Rien, Van Neyghem, Maarten, Geldhof, Maxiem, Van Petegem, Charlotte, Strijbol, Niko, Dawyndt, Peter, Mesuere, Bart
Source code plagiarism is a significant issue in educational practice, and educators need user-friendly tools to cope with such academic dishonesty. This article introduces the latest version of Dolos, a state-of-the-art ecosystem of tools for detect
Externí odkaz:
http://arxiv.org/abs/2402.10853
We introduce Markov Neural Processes (MNPs), a new class of Stochastic Processes (SPs) which are constructed by stacking sequences of neural parameterised Markov transition operators in function space. We prove that these Markov transition operators
Externí odkaz:
http://arxiv.org/abs/2305.15574
All known elimination techniques for (first-order) algorithmic differentiation (AD) rely on Jacobians to be given for a set of relevant elemental functions. Realistically, elemental tangents and adjoints are given instead. They can be obtained by app
Externí odkaz:
http://arxiv.org/abs/2303.16087
Autor:
Van Petegem, Charlotte, Maertens, Rien, Strijbol, Niko, Van Renterghem, Jorg, Van der Jeugt, Felix, De Wever, Bram, Dawyndt, Peter, Mesuere, Bart
Dodona (dodona.ugent.be) is an intelligent tutoring system for computer programming. It bridges the gap between assessment and learning by providing real-time data and feedback to help students learn better, teachers teach better and educational tech
Externí odkaz:
http://arxiv.org/abs/2210.10719