Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Heppe, Lukas"'
Autor:
Morik, Katharina, Kotthaus, Helena, Heppe, Lukas, Heinrich, Danny, Fischer, Raphael, Pauly, Andreas, Piatkowski, Nico
Machine learning applications have become ubiquitous. This has led to an increased effort of making machine learning trustworthy. Explainable and fair AI have already matured. They address knowledgeable users and application engineers. For those who
Externí odkaz:
http://arxiv.org/abs/2106.00512
Autor:
Morik, Katharina, Kotthaus, Helena, Fischer, Raphael, Mücke, Sascha, Jakobs, Matthias, Piatkowski, Nico, Pauly, Andreas, Heppe, Lukas, Heinrich, Danny
Publikováno v:
Frontiers in Artificial Intelligence, September 2022
Machine learning applications have become ubiquitous. Their applications range from embedded control in production machines over process optimization in diverse areas (e.g., traffic, finance, sciences) to direct user interactions like advertising and
Externí odkaz:
http://arxiv.org/abs/2105.10197
Autor:
Nikolaou, Nikolaos, Waldmann, Ingo P., Tsiaras, Angelos, Morvan, Mario, Edwards, Billy, Yip, Kai Hou, Tinetti, Giovanna, Sarkar, Subhajit, Dawson, James M., Borisov, Vadim, Kasneci, Gjergji, Petkovic, Matej, Stepisnik, Tomaz, Al-Ubaidi, Tarek, Bailey, Rachel Louise, Granitzer, Michael, Julka, Sahib, Kern, Roman, Ofner, Patrick, Wagner, Stefan, Heppe, Lukas, Bunse, Mirko, Morik, Katharina
The last decade has witnessed a rapid growth of the field of exoplanet discovery and characterisation. However, several big challenges remain, many of which could be addressed using machine learning methodology. For instance, the most prolific method
Externí odkaz:
http://arxiv.org/abs/2010.15996
Autor:
Heppe, Lukas, Kamp, Michael, Adilova, Linara, Heinrich, Danny, Piatkowski, Nico, Morik, Katharina
The communication between data-generating devices is partially responsible for a growing portion of the world's power consumption. Thus reducing communication is vital, both, from an economical and an ecological perspective. For machine learning, on-
Externí odkaz:
http://arxiv.org/abs/2009.12098
Autor:
Morik KJ; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Kotthaus H; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Fischer R; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Mücke S; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Jakobs M; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Piatkowski N; Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany., Pauly A; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Heppe L; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany., Heinrich D; Faculty of Computer Science, TU Dortmund University, Dortmund, Germany.
Publikováno v:
Frontiers in artificial intelligence [Front Artif Intell] 2022 Sep 21; Vol. 5, pp. 975029. Date of Electronic Publication: 2022 Sep 21 (Print Publication: 2022).
