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Papers matching “irregularly sampled data” 13

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Exact Inference for Continuous-Time Gaussian Process Dynamics
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

0

citations
Exact Inference for Continuous-Time Gaussian Process Dynamics
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe

2

citations
Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Marah Almanasreh, Alexander Mitsos, Eike Cramer

0

citations
Euclid Quick Data Release (Q1)
2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Francine R. Marleau, Rebecca A. Habas, D. Carollo, P.‐A. Duc, Elisabeth Sola, T. Saifollahi, +82 more

5

citations
Data-Driven Mitigation of Process Fluctuations in Wire-Arc Spraying
2024 Thermal spray conference-paper Engineering High-Temperature Coating Behaviors

Kirsten Bobzin, H. Heinemann, L. M. Johann

2

citations
Adaptive surface geometry determination in multi-material x-ray computed tomography using fringe projection
2021 Measurement Science and Technology article Engineering Advanced X-ray and CT Imaging

Jonas Großeheide, Kilian Geiger, Ânderson Schmidt, Calvin Bütow, Benjamin Montavon, Robert Heinrich Schmitt

2

citations
Comment on egusphere-2022-633
2022 peer-review Computer Science Geochemistry and Geologic Mapping Open access

MichaÅ Michalak, LesÅaw Teper, Florian Wellmann, Jerzy Å»aba, Krzysztof Gaidzik, Marcin Kostur, +2 more

0

citations
Comment on egusphere-2022-633
2022 peer-review Computer Science Geochemistry and Geologic Mapping Open access

MichaÅ Michalak, LesÅaw Teper, Florian Wellmann, Jerzy Å»aba, Krzysztof Gaidzik, Marcin Kostur, +2 more

0

citations
Weakly supervised machine learning for model-agnostic searches of new phenomena in the $γ$-ray sky
2026 arXiv (Cornell University) preprint Physics and Astronomy Dark Matter and Cosmic Phenomena Open access

Michael Krämer, Silvia Manconi, Kathrin Nippel

0

citations
Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains
2022 Solid Earth article Earth and Planetary Sciences Geological Modeling and Analysis Open access cited by 1 patent

Michał Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik, Marcin Kostur, +2 more

3

citations
Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains
2022 preprint Computer Science Geochemistry and Geologic Mapping Open access

Michał Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik, Marcin Kostur, +2 more

1

citations
From branch to fabrication: investigating natural tree bifurcation for structural node design
2026 Architectural Intelligence article Engineering Wood Treatment and Properties Open access

Raman Suliman, Kevin Moreno Gata, Martin Trautz

0

citations
Electricity demand anomaly detection and forecasting: a hybrid framework for improved grid management
2026 Technological Sustainability article Engineering Energy Load and Power Forecasting

Rishan Adha, Fety Widianti Aptasari, Ni Wayan Adelia Mutiara Asri, Budiman Budiman

0

citations

13 results