Zobrazeno 1 - 10
of 1 187
pro vyhledávání: '"A. Gocht"'
Autor:
Mittmann, Gesa, Laiouar-Pedari, Sara, Mehrtens, Hendrik A., Haggenmüller, Sarah, Bucher, Tabea-Clara, Chanda, Tirtha, Gaisa, Nadine T., Wagner, Mathias, Klamminger, Gilbert Georg, Rau, Tilman T., Neppl, Christina, Compérat, Eva Maria, Gocht, Andreas, Hämmerle, Monika, Rupp, Niels J., Westhoff, Jula, Krücken, Irene, Seidl, Maximillian, Schürch, Christian M., Bauer, Marcus, Solass, Wiebke, Tam, Yu Chun, Weber, Florian, Grobholz, Rainer, Augustyniak, Jaroslaw, Kalinski, Thomas, Hörner, Christian, Mertz, Kirsten D., Döring, Constanze, Erbersdobler, Andreas, Deubler, Gabriele, Bremmer, Felix, Sommer, Ulrich, Brodhun, Michael, Griffin, Jon, Lenon, Maria Sarah L., Trpkov, Kiril, Cheng, Liang, Chen, Fei, Levi, Angelique, Cai, Guoping, Nguyen, Tri Q., Amin, Ali, Cimadamore, Alessia, Shabaik, Ahmed, Manucha, Varsha, Ahmad, Nazeel, Messias, Nidia, Sanguedolce, Francesca, Taheri, Diana, Baraban, Ezra, Jia, Liwei, Shah, Rajal B., Siadat, Farshid, Swarbrick, Nicole, Park, Kyung, Hassan, Oudai, Sakhaie, Siamak, Downes, Michelle R., Miyamoto, Hiroshi, Williamson, Sean R., Holland-Letz, Tim, Schneider, Carolin V., Kather, Jakob Nikolas, Tolkach, Yuri, Brinker, Titus J.
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately predicting Glea
Externí odkaz:
http://arxiv.org/abs/2410.15012
Autor:
Balyo, Tomáš, Suda, Martin, Chrpa, Lukáš, Šafránek, Dominik, Gocht, Stephan, Dvořák, Filip, Barták, Roman, Youngblood, G. Michael
Previous STRIPS domain model acquisition approaches that learn from state traces start with the names and parameters of the actions to be learned. Therefore their only task is to deduce the preconditions and effects of the given actions. In this work
Externí odkaz:
http://arxiv.org/abs/2402.10726
Autor:
Gocht, Stephan, Nordström, Jakob
The dramatic improvements in combinatorial optimization algorithms over the last decades have had a major impact in artificial intelligence, operations research, and beyond, but the output of current state-of-the-art solvers is often hard to verify a
Externí odkaz:
http://arxiv.org/abs/2209.12185
Publikováno v:
Journal of Artificial Intelligence Research, volume 77: pages 1539-1589, 2023
Symmetry and dominance breaking can be crucial for solving hard combinatorial search and optimisation problems, but the correctness of these techniques sometimes relies on subtle arguments. For this reason, it is desirable to produce efficient, machi
Externí odkaz:
http://arxiv.org/abs/2203.12275
Autor:
Tom Broeg, Axel Don, Alexander Gocht, Thomas Scholten, Ruhollah Taghizadeh-Mehrjardi, Stefan Erasmi
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116850- (2024)
National soil organic carbon (SOC) maps are essential to improve greenhouse gas accounting and support climate-smart agriculture. Large-scale SOC models based on wall-to-wall soil information from remote sensing remain a challenge due to the high div
Externí odkaz:
https://doaj.org/article/9acbab0486b0419c9ebd633d38117bc9
Autor:
Broeg, Tom, Don, Axel, Gocht, Alexander, Scholten, Thomas, Taghizadeh-Mehrjardi, Ruhollah, Erasmi, Stefan
Publikováno v:
In Geoderma April 2024 444
Publikováno v:
Tools for High Performance Computing 2018 / 2019
Within the last years, Python became more prominent in the scientific community and is now used for simulations, machine learning, and data analysis. All these tasks profit from additional compute power offered by parallelism and offloading. In the d
Externí odkaz:
http://arxiv.org/abs/2010.15444
Autor:
Lobert, Felix, Löw, Johannes, Schwieder, Marcel, Gocht, Alexander, Schlund, Michael, Hostert, Patrick, Erasmi, Stefan
Publikováno v:
In Remote Sensing of Environment 1 December 2023 298
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