Publications

Tim Schneider, Amin Totounferoush, Wolfgang Nowak, und Steffen Staab. Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning. 2023. [PUMA: mult sent ubs_10002 ubs_10005 ubs_20002 ubs_20008 ubs_30028 ubs_30082 ubs_40041 ubs_40488 unibibliografie]

Jun Chen, Gerasimos Chourdakis, Ishaan Desai, Carme Homs Pons, Benjamin Rodenberg, David Schneider, Frédéric Simonis, Benjamin Uekermann, Kyle Davis, Alexander Jaust, Mathis Kelm, Niklas Kotarsky, Helena Kschidock, Durganshu Mishra, Markus Mühlhäußer, Timo Pierre Schrader, Miriam Schulte, Valentin Seitz, Joseph Signorelli, Gertjan van Zwieten, Niklas Vinnitchenko, Tina Vladimirova, Leonard Willeke, und Elia Zonta. preCICE Distribution Version v2404.0. 2024. [PUMA: darus mult ubs_10002 ubs_10005 ubs_20002 ubs_20008 ubs_30028 ubs_30082 ubs_40040 ubs_40116 ubs_40427 unibibliografie]

Sonja Klingert, Michael Niederkofler, Hermann de Meer, Mona Bielig, Stepan Gagin, Celina Kacperski, und Matthias Strobbe. The Best of both Worlds : Social and Technical Challenges of Creating Energy Islands. In Cornel Klein, und Matthias Jarke (Hrsg.), Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems, 129-136, SciTePress, Setúbal, 2023. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie]

Diellza Elshani, Daniel Hernandez, Alessio Lombardi, Lasath Siriwardena, Tobias Schwinn, Al Fisher, Steffen Staab, Achim Menges, und Thomas Wortmann. Building Information Validation and Reasoning Using Semantic Web Technologies. In Michela Turrin, Charalampos Andriotis, und Azarakhsh Rafiee (Hrsg.), Computer-Aided Architectural Design. INTERCONNECTIONS : Co-computing Beyond Boundaries, 1819:470-484, Springer, Cham, 2023. [PUMA: mult sent ubs_10001 ubs_10005 ubs_20001 ubs_20008 ubs_30082 ubs_30176 ubs_40320 ubs_40488 unibibliografie]

Alexander Birk, Yannick Wilhelm, Simon Dreher, Christian Flack, Peter Reimann, und Christoph Gröger. A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes. Procedia CIRP, (104):417-422, Elsevier, 2021. [PUMA: mult oa sent ubs_10005 ubs_10021 ubs_20008 ubs_20018 ubs_30082 ubs_30156 ubs_40114 unibibliografie]

Melanie Heck, Jinhee Jeong, und Christian Becker. Evaluating the Potential of Caption Activation to Mitigate Confusion Inferred from Facial Gestures in Virtual Meetings. In Elisabeth André, Mohamed Chetouani, Dominique Vaufreydaz, Gale Lucas, Tanja Schultz, Louis-Philippe Morency, und Alessandro Vinciarelli (Hrsg.), Proceedings of the 25th International Conference on Multimodal Interaction, 243-252, Association for Computing Machinery, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Michael Behringer, und Pascal Hirmer. Interactive Data Mashups for User-Centric Data Analysis. In Robert Schuler, Carl Kesselman, Kyle Chard, und Alejandro Bugacov (Hrsg.), Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 25, Association for Computing Machinery, New York, NY, United States, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie wos]

Johannes Kässinger, Heiko Trötsch, Frank Dürr, und Janick Edinger. SimEdge: Towards Accelerated Real-Time Augmented Reality Simulations Using Adaptive Smart Edge Computing. Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 181-190, Association for Computing Machinery, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Atanas Atanasov, Benjamin Uekermann, Carlos Pachajoa, Hans-Joachim Bungartz, und Philipp Neumann. Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier-Stokes Solvers. Computation, (4)4:38, MDPI, 2016. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Ionut-Gabriel Farcas, Benjamin Uekermann, Tobias Neckel, und Hans-Joachim Bungartz. Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion. SIAM journal on scientific computing, (40)2:B457-B482, Society for Industrial and Applied Mathematics, 2018. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Hans-Joachim Bungartz, Florian Lindner, Miriam Mehl, Klaudius Scheufele, Alexander Shukaev, und Benjamin Uekermann. Partitioned Fluid–Structure-Acoustics Interaction on Distributed Data : Coupling via preCICE. In Hans-Joachim Bungartz, Philipp Neumann, und Wolfgang E. Nagel (Hrsg.), Software for Exascale Computing : SPPEXA 2013-2015, 113:239-266, Springer, Cham, 2016. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Florian Lindner, Miriam Mehl, und Benjamin Uekermann. Radial Basis Function Interpolation for Black-Box Multi-Physics Simulations. Proceedings of the VII International Conference on Coupled Problems in Science and Engineering, 50-61, CIMNE, Barcelona, 2017. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie] URL

Julia Pelzer. Raw Simulation Datasets for Extending Heat Plumes. 2024. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Models and Prepared Datasets for the First Stage : based on the Single Heat Pump Simulation Datasets. 2024. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Models and Prepared Datasets for the Second Stage : based on the Two Heat Pumps Simulation Datasets. 2024. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Alexander Strack, Christopher Taylor, Patrick Diehl, und Dirk Pflüger. Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Carlos Mougan, Jose M. Alvarez, Salvatore Ruggieri, und Steffen Staab. Fairness Implications of Encoding Protected Categorical Attributes. In Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield, und Alex John (Hrsg.), Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 454-465, Association for Computing Machinery, New York, NY, United States, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie wos]

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, und Carl Yang. HiPrompt : Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. SIGIR '23 : Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2052-2056, Association for Computing Machinery, New York, 2023. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Linus Bantel, und Peter Domanski. Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, und Steffen Staab. Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees : Technical Report. 2022. [PUMA: mult sent ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40488 unibibliografie]

Ciheng Zhang, Decky Aspandi, und Steffen Staab. Predicting Eye Gaze Location on Websites. In Petia Radeva, Giovanni Maria Farinella, und Kadi Bouatouch (Hrsg.), Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, (4 : VISAPP):121-132, SciTePress, Setúbal, 2023. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Ishaan Desai, Carina Bringedal, und Benjamin Uekermann. A Flexible Software Approach to Simulate Two-Scale Coupled Problems. The 8th European Congress on Computational Methods in Applied Sciences and Engineering : ECCOMAS Congress 2022, Scipedia, Barcelona, 2022. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Helena Kschidock. Replication Data for: Development of a framework for point-particle tracking. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 unibibliografie]

Heiko Geppert, Sukanya Bhowmik, und Kurt Rothermel. Large-scale influence maximization with the influence maximization benchmarker suite. In Vasiliki Kalavri, und Nikolay Yakovets (Hrsg.), GRADES-NDA '21 : Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 6, Association for Computing Machinery, New York, 2021. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie]

Carme Homs Pons, und Robin Lautenschlager. Replication Data for: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models. 2024. [PUMA: darus mult ubs_10005 ubs_10008 ubs_10021 ubs_20008 ubs_20013 ubs_20019 ubs_30082 ubs_30123 ubs_30165 ubs_40195 unibibliografie]

Melanie Heck, Christian Becker, und Viola Deutscher. Webcam Eye Tracking for Desktop and Mobile Devices : A Systematic Review. Proceedings of the 56th Hawaii International Conference on System Sciences, 6820-6829, Department of IT Management, Shidler College of Business, University of Hawaii, Honolulu, 2023. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie] URL

Gourav Prateek Sharma, Dhruvin Patel, Joachim Sachs, Marilet De Andrade, János Farkas, Janos Harmatos, Balazs Varga, Hans-Peter Bernhard, Raheeb Muzaffar, Mahin Ahmed, Frank Dürr, Dietmar Bruckner, Edgardo Montes De Oca, Drissa Houatra, Hongwei Zhang, und James Gross. Toward Deterministic Communications in 6G Networks : State of the Art, Open Challenges and the Way Forward. IEEE access, (11):106898-106923, IEEE, 2023. [PUMA: oa ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Zubaria Asma, Daniel Hernandez, Luis Galárraga, Giorgos Flouris, Irini Fundulaki, und Katja Hose. Code and benchmark for NPCS, a Native Provenance Computation for SPARQL. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Rebecca Eichler, Christoph Gröger, Eva Hoos, Christoph Stach, Holger Schwarz, und Bernhard Mitschang. Introducing the enterprise data marketplace : a platform for democratizing company data. Journal of Big Data, (10)1:173, Springer, 2023. [PUMA: f2024 gold oa oafonds transform ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie wos]

Ramin Hedeshy, Chandan Kumar, Mike Lauer, und Steffen Staab. All Birds Must Fly : The Experience of Multimodal Hands-free Gaming with Gaze and Nonverbal Voice Synchronization. Proceedings of the 2022 International Conference on Multimodal Interaction, 278-287, Association for Computing Machinery, New York, NY, United States, 2022. [PUMA: mult ubs_10005 ubs_10011 ubs_20008 ubs_20016 ubs_30082 ubs_30152 ubs_40296 ubs_40488 unibibliografie wos]

Ramin Hedeshy, Raphael Menges, und Steffen Staab. Raw audio samples of the CNVVE dataset. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Ramin Hedeshy, Raphael Menges, und Steffen Staab. Code for Training and Testing CNVVE. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Ramin Hedeshy, Raphael Menges, und Steffen Staab. CNVVE Dataset clean audio samples. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Philipp Seifer, Daniel Hernández, Ralf Lämmel, und Steffen Staab. Code for From Shapes to Shapes. 2024. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie]

Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, und Steffen Staab. NILK : Entity Linking Dataset Targeting NIL-Linking Cases. In Mohammad Al Hasan, und Li Xiong (Hrsg.), CIKM '22 : Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 4069-4073, Association for Computing Machinery, New York, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40488 unibibliografie wos]

Eike Schweissguth, Helge Parzyjegla, Peter Danielis, Gero Mühl, Dirk Timmermann, Stefan Mehner, Oliver Hohlfeld, David Hellmanns, und Jonathan Falk. TSN Scheduler Benchmarking. In Frank Golatowski, und Veera Ragavan Sampath Kumar (Hrsg.), 2023 IEEE 19th International Workshop on Factory Communication Systems (WFCS), 126-133, IEEE, Piscataway, NJ, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 unibibliografie wos]

Peter Domanski, Aritra Ray, Farshad Firouzi, Kyle Lafata, Krishnendu Chakrabarty, und Dirk Pflüger. Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. In C. K. Chang, R.N. Chang, J. Fan, G. C. Fox, Z. Jin, G. Pravadelli, und H. Shahriar (Hrsg.), 2023 IEEE International Conference on Digital Health (ICDH), 339-347, IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Yunxuan Li, Pascal Hirmer, Christoph Stach, und Bernhard Mitschang. Ensuring Situation-Aware Privacy for Connected Vehicles. In Evangelos Niforatos, Gerd Kortuem, Nirvana Meratnia, Josh Siegel, und Florian Michahelles (Hrsg.), IoT '22 : Proceedings of the 12th International Conference on the Internet of Things, 135-138, Association for Computing Machinery, New York, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie wos]

Lukas Wüsteney, David Hellmanns, Markus Schramm, Lukas Osswald, René Hummen, Michael Menth, und Tobias Heer. Analyzing and modeling the latency and jitter behavior of mixed industrial TSN and DetNet networks. In Giuseppe Bianchi, und Alessandro Mei (Hrsg.), CoNEXT '22 : Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 91-109, Association for Computing Machinery, New York, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 unibibliografie wos]

Patricia Arias-Cabarcos, Matin Fallahi, Thilo Habrich, Karen Schulze, Christian Becker, und Thorsten Strufe. Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices. ACM transactions on privacy and security, (26)3:26, Association for Computing Machinery, 2023. [PUMA: oa ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Patrick Diehl, Gregor Daiß, Kevin Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, und Dirk Pflüger. Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 682-691, IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Theresa Pollinger, Johannes Rentrop, Dirk Pflüger, und Katharina Kormann. A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. Journal of computational physics, (491):112338, Elsevier, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Peter Domanski, Dirk Pflüger, und Raphael Latty. Learn to Tune : Robust Performance Tuning in Post-Silicon Validation. 2023 IEEE European Test Symposium (ETS), IEEE, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua, Melanie Herschel, Meihui Zhang, und Beng Chin Ooi. DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics. Proceedings of the VLDB Endowment, (15)12:3445-3458, Association for Computing Machinery, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40113 unibibliografie wos]

Michael F. Rehme, David N. John, Michael Schick, und Dirk Pflüger. Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion. Mechatronics, (92):102989, Elsevier, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Otto Bibartiu, Frank Dürr, Kurt Rothermel, Beate Ottenwälder, und Andreas Grau. Availability analysis of redundant and replicated cloud services with Bayesian networks. Quality and reliability engineering international, Wiley-VCH, 2023. [PUMA: f2023 hybrid oa oafonds transform ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Alejandro Gabriel Villanueva Zacarias, Peter Reimann, Christian Weber, und Bernhard Mitschang. AssistML : an approach to manage, recommend and reuse ML solutions. International journal of data science and analytics, (16)4:455-479, Springer, 2023. [PUMA: f2023 hybrid mult oa oafonds transform ubs_10005 ubs_10021 ubs_20008 ubs_20018 ubs_30082 ubs_30156 ubs_40114 unibibliografie wos]

Sabrina Hoppe, Markus Giftthaler, Robert Krug, und Marc Toussaint. Stabilizing deep Q-learning with Q-graph-based bounds. International journal of robotics research, (42)9:633-654, Sage Publications, 2023. [PUMA: ubs_10005 ubs_20008 ubs_30082 unibibliografie wos]

Gregor Daiß, Srinivas Yadav Singanaboina, Patrick Diehl, Hartmut Kaiser, und Dirk Pflüger. From Merging Frameworks to Merging Stars : Experiences using HPX, Kokkos and SIMD Types. 2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), 10-19, IEEE, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Celina Kacperski, Mona Bielig, Sonja Klingert, und Florian Kutzner. For the climate, my friends, or my region? An experimental field trial for prosumer engagement with peer-to-peer energy trading in Austria. Energy research & social science, (97)March:103000, Elsevier, 2023. [PUMA: oa ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Gregor Daiß, Patrick Diehl, Dominic Marcello, Alireza Kheirkhahan, Hartmut Kaiser, und Dirk Pflüger. From Task-Based GPU Work Aggregation to Stellar Mergers : Turning Fine-Grained CPU Tasks into Portable GPU Kernels. 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), 89-99, IEEE, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie wos]

Ishaan Desai, Erik Scheurer, Carina Bringedal, und Benjamin Uekermann. Micro Manager Version v0.3.0. 2023. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Benjamin Maier, Dominik Göddeke, Felix Huber, Thomas Klotz, Oliver Röhrle, und Miriam Schulte. OpenDiHu: An Efficient and Scalable Framework for Biophysical Simulations of the Neuromuscular System. 1-42, Elsevier, 2022. [PUMA: abgleich mult ubs_10002 ubs_10005 ubs_10008 ubs_20002 ubs_20008 ubs_20013 ubs_30082 ubs_30123 ubs_30190 ubs_40116 ubs_40195 ubs_40393 unibibliografie]

Christoph Stach, Rebecca Kay Eichler, und Simone Schmidt. A Recommender Approach to Enable Effective and Efficient Self-Service Analytics in Data Lakes. Datenbank-Spektrum, (23):123-132, Springer, 2023. [PUMA: f2023 hybrid oa oafonds transform ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie]

Christoph Stach. Data Is the New Oil - Sort of : A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration. Future internet, (15)2:71, MDPI, 2023. [PUMA: oa ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie wos]

Bernd Flemisch, Sibylle Hermann, Christian Holm, Miriam Mehl, Guido Reina, Benjamin Uekermann, David Boehringer, Thomas Ertl, Jean-Noël Grad, Dorothea Iglezakis, Alexander Jaust, Timo Koch, Anett Seeland, Rudolf Weeber, Florian Weik, und Kilian Weishaupt. Umgang mit Forschungssoftware an der Universität Stuttgart. Stuttgart, 2020. [PUMA: abgleich mult ubs_10002 ubs_10005 ubs_10008 ubs_10013 ubs_20002 ubs_20008 ubs_20014 ubs_20021 ubs_20022 ubs_30028 ubs_30082 ubs_30086 ubs_30136 ubs_30167 ubs_40040 ubs_40129 ubs_40216 ubs_40427 unibibliografie]

Benjamin Maier, David Schneider, Miriam Schulte, und Benjamin Uekermann. Bridging scales with volume coupling — Scalable simulations of muscle contraction and electromyography. In Wolfgang E. Nagel, Dietmar H. Kröner, und Michael M. Resch (Hrsg.), High Performance Computing in Science and Engineering '21, 185-199, Springer, 2023. [PUMA: abgleich mult ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40427 unibibliografie]

Kyle Davis, Miriam Schulte, und Benjamin Uekermann. Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction. Mathematical and computational applications, (27)3:40, MDPI, 2022. [PUMA: mult oa ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40427 unibibliografie wos]

Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, und Dirk Pflüger. From piz daint to the stars : simulation of stellar mergers using high-level abstractions. SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 1-37, Association for Computing Machinery, 2019. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Marcel Breyer, Gregor Daiß, und Dirk Pflüger. Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL. IWOCL'21: International Workshop on OpenCL, 1–12, Association for Computing Machinery, 2021. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Markus Hegland, Brendan Harding, Christoph Kowitz, Dirk Pflüger, und Peter Strazdins. Recent Developments in the Theory and Application of the Sparse Grid Combination Technique. In Hans-Joachim Bungartz, Philipp Neumann, und Wolfgang E. Nagel (Hrsg.), Software for Exascale Computing - SPPEXA 2013-2015, 113:143-163, Springer, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Mario Heene, und Dirk Pflüger. Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 27:339-348, IOS Press, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, und Christian Rohde. Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. Computational geosciences, (23):339-354, Springer, 2019. [PUMA: abgleich mult ubs_10002 ubs_10005 ubs_10008 ubs_20002 ubs_20008 ubs_20013 ubs_30028 ubs_30082 ubs_30123 ubs_40041 ubs_40190 ubs_40305 ubs_40349 unibibliografie]

Mario Heene, Alfredo Parra Hinojosa, Hans-Joachim Bungartz, und Dirk Pflüger. A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. In Frédéric Desprez, und et. al (Hrsg.), Euro-Par 2016: Parallel Processing Workshops, 10104:635-647, Springer, 2017. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Marcel Breyer, Alexander Van Craen, und Dirk Pflüger. Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, 1-12, Association for Computing Machinery, 2023. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Michael F. Rehme, Fabian Franzelin, und Dirk Pflüger. B-splines on sparse grids for surrogates in uncertainty quantification. Reliability engineering & system safety, (209):107430, Elsevier, 2021. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Steffen Hirschmann, Michael Lahnert, Carolin Schober, Malte Brunn, Miriam Mehl, und Dirk Pflüger. Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications. In Wolfgang E. Nagel, H. Kröner, Dietmar, und Michael M. Resch (Hrsg.), High Performance Computing in Science and Engineering’18, 409-423, Springer, 2019. [PUMA: abgleich mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40349 unibibliografie]

Steffen Hirschmann, Dirk Pflüger, und Colin W. Glass. Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. 2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW), 130-141, IEEE, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Thomas Heller, Bryce Adelstein Lelbach, Kevin A. Huck, John Biddiscombe, Patricia Grubel, Alice E. Koniges, Matthias Kretz, Dominic Marcello, David Pfander, Adrian Serio, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger, David Eder, und Hartmut Kaiser. Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. The international journal of high performance computing applications, (33)4:699-715, Sage Science Press, 2019. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Sparse Grids and Applications - Stuttgart 2014. In Jochen Garcke, und Dirk Pflüger (Hrsg.), Lecture Notes in Computational Science and Engineering, (109)Springer, 2016. [PUMA: abgleich ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Julia Pelzer. Dataset: Single Heat Pump Simulation - Prepared "Learn Params", 100 Data Points. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Dataset: Two Heat Pumps Simulation - Raw, 100 Data Points. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Pelzer. Dataset: Single Heat Pump Simulation - Raw, 100 Data Points. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie]

Julia Kühnert, Dominik Göddeke, und Melanie Herschel. Provenance-integrated parameter selection and optimization in numerical simulations. 13th International Workshop on Theory and Practice of Provenance, 1-4, Curran Associates, Inc., Red Hook, 2021. [PUMA: mult sent ubs_10005 ubs_10008 ubs_20008 ubs_20013 ubs_30082 ubs_30123 ubs_40113 ubs_40195 unibibliografie] URL

Sarah Oppold, und Melanie Herschel. Provenance-based explanations : are they useful?. TaPP '22 : Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, Association for Computing Machinery, New York, 2022. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40113 unibibliografie]

Bo Xiong, Michael Cochez, Mojtaba Nayyeri, und Steffen Staab. Hyperbolic Embedding Inference for Structured Multi-Label Prediction. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), OpenReview, Amherst, 2022. [PUMA: oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40410 unibibliografie] URL

Diellza Elshani, Alessio Lombardi, Al Fisher, Steffen Staab, Daniel Hernández, und Thomas Wortmann. Knowledge Graphs for Multidisciplinary Co-Design : Introducing RDF to BHoM. In Pieter Pauwels, Maria Poveda-Villalon, und Walter Terkaj (Hrsg.), Proceedings of the 10th Linked Data in Architecture and Construction Workshop, 3213:43-52, RWTH Aachen, Aachen, 2022. [PUMA: mult oa sent ubs_10001 ubs_10005 ubs_20001 ubs_20008 ubs_30082 ubs_30176 ubs_40320 ubs_40410 unibibliografie] URL

Diellza Elshani, Alessio Lombardi, Al Fisher, Steffen Staab, Daniel Hernández, und Thomas Wortmann. Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. In Martin Slepicka, Lothar Kolbeck, Sebastian Esser, Kasimir Forth, Florian Noichl, und Jonas Schlenger (Hrsg.), Proceedings of 33. Forum Bauinformatik, 89-97, Technische Universität München, München, 2022. [PUMA: mult sent ubs_10001 ubs_10005 ubs_20001 ubs_20008 ubs_30082 ubs_30176 ubs_40320 ubs_40410 unibibliografie]

Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, und Steffen Staab. Pseudo-Riemannian Graph Convolutional Networks. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, und A. Oh (Hrsg.), Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 3488-3501, Curran Associates, Inc., Red Hook, 2022. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40410 unibibliografie] URL

Christoph Stach, Michael Behringer, Julia Bräcker, Clémentine Gritti, und Bernhard Mitschang. SMARTEN : A Sample-Based Approach towards Privacy-Friendly Data Refinement. Journal of cybersecurity and privacy, (2)3:606-628, MDPI, 2022. [PUMA: mult oa sent ubs_10003 ubs_10005 ubs_20003 ubs_20008 ubs_30082 ubs_30187 ubs_40114 ubs_40352 unibibliografie]

Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, und Steffen Staab. Ultrahyperbolic Knowledge Graph Embeddings. KDD '22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2130-2139, Association for Computing Machinery, New York, 2022. [PUMA: sent ubs_10005 ubs_20008 ubs_30082 ubs_40410 unibibliografie]

Vitali Hirsch, Peter Reimann, Dennis Treder-Tschechlov, Holger Schwarz, und Bernhard Mitschang. Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification. The VLDB journal, 28, Springer, 2023. [PUMA: f2023 hybrid mult oa oafonds transform ubs_10005 ubs_10021 ubs_20008 ubs_20018 ubs_30082 ubs_30156 ubs_40114 unibibliografie]

Gerasimos Chourdakis, Kyle Davis, Benjamin Rodenberg, Miriam Schulte, Frédéric Simonis, Benjamin Uekermann, Georg Abrams, Hans-Joachim Bungartz, Lucia Cheung Yau, Ishaan Desai, Konrad Eder, Richard Hertrich, Florian Lindner, Alexander Rusch, Dmytro Sashko, David Schneider, Amin Totounferoush, Dominik Volland, Peter Vollmer, und Oguz Ziya Koseomur. preCICE v2 : A sustainable and user-friendly coupling library. Open research Europe, (2):51, European Commission, 2022. [PUMA: mult oa sent ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40410 ubs_40427 unibibliografie]

Gerasimos Chourdakis, Kyle Davis, Ishaan Desai, Benjamin Rodenberg, David Schneider, Frédéric Simonis, Benjamin Uekermann, Boshra Ariguib, Philip Cardiff, Alexander Jaust, Pavel Kharitenko, Robert Klöfkorn, Niklas Kotarsky, Boris Martin, Erik Scheurer, Valentina Schüller, Gertjan van Zwieten, und Kursat Yurt. preCICE Distribution Version v2211.0. 2023. [PUMA: darus mult ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40427 unibibliografie]

Timo Pierre Schrader, David Schneider, und Benjamin Uekermann. Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE. 2023. [PUMA: darus mult ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40427 unibibliografie]

Felix Huber, Paul-Christian Bürkner, Dominik Göddeke, und Miriam Schulte. Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization". 2023. [PUMA: darus mult ubs_10005 ubs_10008 ubs_10021 ubs_20008 ubs_20013 ubs_20019 ubs_30082 ubs_30123 ubs_30165 ubs_40116 ubs_40195 unibibliografie]

Theresa Pollinger. Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique. 2023. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40349 unibibliografie]

Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, und Steffen Staab. Data for: NILK, entity linking dataset targeting NIL-linking cases. 2023. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40410 unibibliografie]

Leonard Willeke, David Schneider, und Benjamin Uekermann. Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations. 2023. [PUMA: darus mult ubs_10005 ubs_20008 ubs_30082 ubs_40116 ubs_40427 unibibliografie]

Timo Pierre Schrader. Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE. 2023. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 unibibliografie]

Leonard Willeke. Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs. 2023. [PUMA: darus ubs_10005 ubs_20008 ubs_30082 ubs_40427 unibibliografie]

Alexandra Baier, und Daniel Frank. deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning. 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40410 unibibliografie]

Alexandra Baier, Decky Aspandi Latif, und Steffen Staab. Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". 2023. [PUMA: darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40410 unibibliografie]

Johannes Kässinger, David Rosin, Frank Dürr, Niklas Hornischer, Oliver Röhrle, und Kurt Rothermel. Persival : Simulating Complex 3D Meshes on Resource-Constrained Mobile AR Devices Using Interpolation. 2022 IEEE 42nd International Conference on Distributed Computing Systems, 961-971, IEEE, 2022. [PUMA: mult ubs_10002 ubs_10005 ubs_10007 ubs_20002 ubs_20008 ubs_20011 ubs_30082 ubs_30113 ubs_30190 ubs_40118 ubs_40173 ubs_40393 unibibliografie wos]

Michael Behringer, Manuel Fritz, Holger Schwarz, und Bernhard Mitschang. DATA-IMP : An Interactive Approach to Specify Data Imputation Transformations on Large Datasets. In Mohamed Sellami, P Ceravolo, HA Reijers, W Gaaloul, und H Panetto (Hrsg.), Cooperative information systems, 13591:55-74, Springer, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40114 unibibliografie wos]

Melanie Feist, Martin Breitbach, Heiko Trötsch, Christian Becker, und Christian Krupitzer. Rango : An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems. In R. Casadei, E. Di Nitto, I. Gerostathopoulos, D. Pianini, I. Dusparic, T. Wood, P. Nelson, E. Pournaras, N. Bencomo, S. Götz, C. Krupitzer, und C. Raibulet (Hrsg.), 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 31-40, IEEE, Piscataway, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Mona Bielig, Celina Kacperski, Florian Kutzner, und Sonja Klingert. Evidence behind the narrative : Critically reviewing the social impact of energy communities in Europe. Energy research & social science, (94)December:102859, Elsevier, 2022. [PUMA: oa ubs_10005 ubs_20008 ubs_30082 ubs_40118 unibibliografie wos]

Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, und Steffen Staab. Faithful Embeddings for EL++ Knowledge Bases. In Ulrike Sattler, Aidan Hogan, Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, und Claudia D'Amato (Hrsg.), The Semantic Web : ISWC 2022, 13489:22-38, Springer, Cham, 2022. [PUMA: ubs_10005 ubs_20008 ubs_30082 ubs_40410 unibibliografie wos]