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Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access
E. M. C. Sijben, Jeroen C. Jansen, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Ping Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies2022 medRxiv preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Tanwei Yuan, Dominic Edelmann, Ziwen Fan, Elizabeth Alwers, Jakob Nikolas Kather, Hermann Brenner, +1 more
3citations -
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning2025 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access
Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, +1 more
0citations -
Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data2023 arXiv (Cornell University) preprint Earth and Planetary Sciences Archaeological Research and Protection Open access
Paolo Soleni, Wouter Verschoof‐van der Vaart, Žiga Kokalj, Arianna Traviglia, Marco Fiorucci
1citations -
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations