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ORCIDHorst Stöcker
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- affiliation: Goethe University, Frankfurt, Germany
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Books and Theses
- 1998
[b3]John Harris, Horst Stöcker:
Handbook of mathematics and computational science. Springer 1998, ISBN 0387947469, pp. I-XXVIII, 1-1028- 1995
- [b2]Horst Stöcker:
Taschenbuch mathematischer Formeln und moderner Verfahren (3. Aufl.). Deutsch 1995, ISBN 978-3-8171-1461-0, pp. 1-953 - 1994
- [b1]Horst Stöcker:
Taschenbuch der Physik - Formeln, Tabellen, Übersichten (2. Aufl.). Deutsch 1994, ISBN 978-3-8171-1358-3, pp. I-XXV, 1-874
Journal Articles
- 2024
- [j6]Shuiping Gou
, Yu Sha, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems. Expert Syst. Appl. 258: 125155 (2024) - [j5]Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou:
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. J. Frankl. Inst. 361(6): 106671 (2024) - 2022
- [j4]Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. Comput. Softw. Big Sci. 6(1) (2022) - [j3]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. Eng. Appl. Artif. Intell. 113: 104904 (2022) - 2021
- [j2]Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou:
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. Mach. Learn. Sci. Technol. 2(3): 35031 (2021) - 2019
- [j1]Volodymyr Vovchenko, Horst Stöcker:
Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state. Comput. Phys. Commun. 244: 295-310 (2019)
Conference and Workshop Papers
- 2024
- [c2]Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems. KDD 2024: 5657-5668 - 2022
- [c1]Yu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. KDD 2022: 3858-3868
Informal and Other Publications
- 2023
- [i8]Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou:
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. CoRR abs/2302.08796 (2023) - [i7]Chen Li, Alexander Kies, Kai Zhou, Markus Schlott, Omar El Sayed, Mariia Bilousova, Horst Stoecker:
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks. CoRR abs/2311.13949 (2023) - 2022
- [i6]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stöcker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering. CoRR abs/2202.13226 (2022) - [i5]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. CoRR abs/2202.13245 (2022) - [i4]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. CoRR abs/2203.01118 (2022) - 2021
- [i3]Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. CoRR abs/2107.00656 (2021) - 2020
- [i2]Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou:
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. CoRR abs/2012.00082 (2020) - 2016
- [i1]Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang:
An EoS-meter of QCD transition from deep learning. CoRR abs/1612.04262 (2016)
Coauthor Index
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