Taschenbuch der Physik - Formeln, Tabellen, Übersichten (2. Aufl.). - Horst Stöcker (Deutsch, 1994)

Taschenbuch mathematischer Formeln und moderner Verfahren (3. Aufl.). - Horst Stöcker (Deutsch, 1995)

Handbook of mathematics and computational science. - John Harris; Horst Stöcker (Springer, 1998)

An EoS-meter of QCD transition from deep learning. - Long-Gang Pang; Kai Zhou; Nan Su; Hannah Petersen; Horst Stöcker; Xin-Nian Wang (CoRR, 2016)

Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state. - Volodymyr Vovchenko; Horst Stöcker (Comput. Phys. Commun., 2019)

Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. - Lingxiao Wang 006; Tian Xu; Till Hannes Stoecker; Horst Stöcker; Yin Jiang; Kai Zhou (Mach. Learn. Sci. Technol., 2021)

Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. - Yu Sha; Shuiping Gou; Johannes Faber; Bo Liu 009; Wei Li; Stefan Schramm; Horst Stoecker; Thomas Steckenreiter; Domagoj Vnucec; Nadine Wetzstein; Andreas Widl; Kai Zhou (KDD, 2022)

An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering. - Yu Sha; Johannes Faber; Shuiping Gou; Bo Liu 009; Wei Li; Stefan Schramm; Horst Stöcker; Thomas Steckenreiter; Domagoj Vnucec; Nadine Wetzstein; Andreas Widl; Kai Zhou (CoRR, 2022)

A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. - Yu Sha; Johannes Faber; Shuiping Gou; Bo Liu 009; Wei Li; Stefan Schramm; Horst Stoecker; Thomas Steckenreiter; Domagoj Vnucec; Nadine Wetzstein; Andreas Widl; Kai Zhou (Eng. Appl. Artif. Intell., 2022)

Shared Data and Algorithms for Deep Learning in Fundamental Physics. - Lisa Benato; Erik Buhmann; Martin Erdmann; Peter Fackeldey; Jonas Glombitza; Nikolai Hartmann; Gregor Kasieczka; William Korcari; Thomas Kuhr; Jan Steinheimer; Horst Stöcker; Tilman Plehn; et al. (Comput. Softw. Big Sci., 2022)

Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks. - Chen Li; Alexander Kies; Kai Zhou; Markus Schlott; Omar El Sayed; Mariia Bilousova; Horst Stoecker (CoRR, 2023)

Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems. - Yu Sha; Shuiping Gou; Bo Liu 009; Johannes Faber; Ningtao Liu; Stefan Schramm; Horst Stoecker; Thomas Steckenreiter; Domagoj Vnucec; Nadine Wetzstein; Andreas Widl; Kai Zhou (KDD, 2024)

Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems. - Shuiping Gou; Yu Sha; Bo Liu 009; Ningtao Liu; Johannes Faber; Stefan Schramm; Horst Stoecker; Thomas Steckenreiter; Domagoj Vnucec; Nadine Wetzstein; Andreas Widl; Kai Zhou (Expert Syst. Appl., 2024)

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. - Shuai Han; Lukas Stelz; Horst Stoecker; Lingxiao Wang 006; Kai Zhou (J. Frankl. Inst., 2024)

Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting. - Shuai Han; Lukas Stelz; Thomas R. Sokolowski; Kai Zhou; Horst Stöcker (CoRR, 2025)