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Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Toward a Climate OSSE Framework for Satellite Mission Design2025 Bulletin of the American Meteorological Society article Environmental Science Climate variability and models Open access
Ann M. Fridlind, Gregory S. Elsaesser, Marcus van Lier‐Walqui, G Cesana, Elizabeth C. Weatherhead, George Tselioudis, +20 more
1citations -
An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer’s disease2026 Computerized Medical Imaging and Graphics article Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, +6 more
8citations -
Enhancement of intelligent GPR detection based on category-aware generative framework of B-scan images2026 Computer-Aided Civil and Infrastructure Engineering article Earth and Planetary Sciences Geophysical Methods and Applications Open access
Zuhao Wang, Guangyao Li, Fengzijun Pan, Zepeng Fan, Xiaopei Cai, Dawei Wang
0citations -
Imaging of hydraulic conductivity from seismic and electrical data in a joint inversion framework2022 conference-abstract Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access
Matthias Steiner, Lovrenc Pavlin, Tímea Katona, Florian Wagner, Nathalie Roser, Peter Strauß, +2 more
0citations -
Trans-dimensional Bayesian model averaging for $^{13}$C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty2026 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Johann F. Jadebeck, Anton Stratmann, Martin Beyß, Katharina Nöh
0citations -
HW/SW Formal Co-Verification of Rust-based Designs Using Hardware Abstraction Model2025 IEEE Computer Society Annual Symposium on VLSI conference-paper Computer Science Embedded Systems Design Techniques
Sascha Neske, Bryan Olmos, Shuhang Zhang, M. Kroening, Stefan Lankes, Wolfgang Gerhard Kunz, +1 more
0citations -
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy2020 Briefings in Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Ruopeng Xie, Jiahui Li, Jiawei Wang, Wei Dai, André Leier, Tatiana T. Marquez‐Lago, +4 more
90citations -
Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical nonequilibrium2023 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
17citations -
Leveraging Large Language Models for Enhanced Process Model Comprehension2024 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access
Humam Kourani, Alessandro Berti, Jasmin Hennrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, +2 more
2citations