Zobrazeno 1 - 10
of 1 161
pro vyhledávání: '"P. Hähner"'
Cartesian Genetic Programming (CGP) suffers from a specific limitation: Positional bias, a phenomenon in which mostly genes at the start of the genome contribute to a program output, while genes at the end rarely do. This can lead to an overall worse
Externí odkaz:
http://arxiv.org/abs/2410.00518
Autor:
L. Malerba, M.J. Caturla, E. Gaganidze, C. Kaden, M.J. Konstantinović, P. Olsson, C. Robertson, D. Rodney, A.M. Ruiz-Moreno, M. Serrano, J. Aktaa, N. Anento, S. Austin, A. Bakaev, J.P. Balbuena, F. Bergner, F. Boioli, M. Boleininger, G. Bonny, N. Castin, J.B.J. Chapman, P. Chekhonin, M. Clozel, B. Devincre, L. Dupuy, G. Diego, S.L. Dudarev, C.-C. Fu, R. Gatti, L. Gélébart, B. Gómez-Ferrer, D. Gonçalves, C. Guerrero, P.M. Gueye, P. Hähner, S.P. Hannula, Q. Hayat, M. Hernández-Mayoral, J. Jagielski, N. Jennett, F. Jiménez, G. Kapoor, A. Kraych, T. Khvan, L. Kurpaska, A. Kuronen, N. Kvashin, O. Libera, P.-W. Ma, T. Manninen, M.-C. Marinica, S. Merino, E. Meslin, F. Mompiou, F. Mota, H. Namburi, C.J. Ortiz, C. Pareige, M. Prester, R.R. Rajakrishnan, M. Sauzay, A. Serra, I. Simonovski, F. Soisson, P. Spätig, D. Tanguy, D. Terentyev, M. Trebala, M. Trochet, A. Ulbricht, M.Vallet, K. Vogel, T. Yalcinkaya, J. Zhao
Publikováno v:
Nuclear Materials and Energy, Vol 29, Iss , Pp 101051- (2021)
The M4F project brings together the fusion and fission materials communities working on the prediction of radiation damage production and evolution and their effects on the mechanical behaviour of irradiated ferritic/martensitic (F/M) steels. It is a
Externí odkaz:
https://doaj.org/article/16ebc0e4b8e34d40b03e788f4d806a2c
Procedural knowledge describes how to accomplish tasks and mitigate problems. Such knowledge is commonly held by domain experts, e.g. operators in manufacturing who adjust parameters to achieve quality targets. To the best of our knowledge, no real-w
Externí odkaz:
http://arxiv.org/abs/2308.08371
Achieving at least some level of explainability requires complex analyses for many machine learning systems, such as common black-box models. We recently proposed a new rule-based learning system, SupRB, to construct compact, interpretable and transp
Externí odkaz:
http://arxiv.org/abs/2207.05582
In socio-technical settings, operators are increasingly assisted by decision support systems. By employing these, important properties of socio-technical systems such as self-adaptation and self-optimization are expected to improve further. To be acc
Externí odkaz:
http://arxiv.org/abs/2207.02300
Autor:
Jérémie Manaud, Arata Nakajo, Enrico Corniani, Michael Holzhäuser, Andrea Cambriani, Marco Cologna, Peter Hähner, Luka Vlahovic, Rudy Konings
Publikováno v:
Open Ceramics, Vol 18, Iss , Pp 100598- (2024)
Dense tantalum-based carbonitride materials featuring >95 % relative density, TaC, Ta2C1.5N0.5, Ta2CN, Ta2C0.5N1.5 and TaN, were prepared by Spark Plasma Sintering (SPS) at 1873 K with a dwell time of 10 min and a pressure of 50 MPa. Despite the pres
Externí odkaz:
https://doaj.org/article/7cf82a60e1124b7585cd923625b99a95
While utilization of digital agents to support crucial decision making is increasing, trust in suggestions made by these agents is hard to achieve. However, it is essential to profit from their application, resulting in a need for explanations for bo
Externí odkaz:
http://arxiv.org/abs/2202.01677
Autor:
Anna G. W. Rosenberg, Ké Mochèl, Lorena M. Hähner, Lara Ruules, Kirsten Davidse, Anja G. Bos-Roubos, Sarah A. van Dijk, M. Carola Zillikens, Walter Taal, Aart J. van der Lely, Laura C. G. de Graaff
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2024)
ContextNeurofibromatosis type 1 (NF1) is a complex system disorder, caused by alterations in RAS pathways. NF1 adults often suffer from chronic and severe fatigue, for which they are frequently referred to Internal Medicine/Endocrinology. Seeking med
Externí odkaz:
https://doaj.org/article/c905e2f7b0944724b698c3897f073159
Autor:
Sailer, Richard, Hähner, Jörg
Publikováno v:
IEEE LCN 2019
This paper proposes AFMT, a packet scheduling algorithm to achieve adaptive flow-aware multipath tunnelling. AFMT has two unique properties. Firstly, it implements robust adaptive traffic splitting for the subtunnels. Secondly, it detects and schedul
Externí odkaz:
http://arxiv.org/abs/2009.04579
Autor:
von Pilchau, Wenzel Pilar, Gowtham, Varun, Gruber, Maximilian, Riedl, Matthias, Koutrakis, Nikolaos-Stefanos, Tayyub, Jawad, Hähner, Jörg, Eichstädt, Sascha, Uhlmann, Eckart, Polte, Julian, Frey, Volker, Willner, Alexander
Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed to increase their reliability. The common approach is to regularly cali
Externí odkaz:
http://arxiv.org/abs/2008.07282