Papers matching “training data generation” 855
Not finding it? Sign in to also search OpenAlex live.
-
Synthetic Sentinel-5/UVNS measurements2026 Zenodo (CERN European Organization for Nuclear Research) dataset Environmental Science Atmospheric and Environmental Gas Dynamics Open access
Fiona Lippert, Andrew Gerald Barr, Marcos Herreras-Giralda, Masahiro Momoi, Fernando Rejano, Sha Lu, +4 more
1citations -
Epigenetic and brain age across development: Performance and associations in the MIND consortium2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access
Marlene Staginnus, Vilte Baltramonaityte, Isabel K. Schuurmans, Sarina Abrishamcar, Martin Bauer, Sintia Iole Belangero, +69 more
1citations -
C anton MT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation2024 ACM Transactions on Asian and Low-Resource Language Information Processing article Computer Science Natural Language Processing Techniques
Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadić
1citations -
The PAU survey: uncovering the connection between intrinsic and observed galaxy properties using symbolic regression2026 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Adarsh M Kumar, C. M. Baugh, Giorgio Manzoni, D Navarro-Gironés, R. Casas, J. Carretero, +6 more
1citations -
Measurement of the $t\bar{t}H$ production cross section and search for $tH$ production in a fiducial phase space in the $H\to\gamma\gamma$ decay channel at $\sqrt{s}=13.6\,\mathrm{TeV}$ with the CMS experiment0citations
-
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann
0citations -
Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks2025 Desy Publications Database (Deutsches Elektronen-Synchrotron DESY) article Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
R. Abbasi, M. Ackermann, J. Adams, Sanjib Kumar Agarwalla, J. A. Aguilar, M. Ahlers, +92 more
0citations -
decRiPPter datasets - Integration of machine learning and pan-genomics expands the biosynthetic landscape of RiPP natural products2020 Socio-Environmental Systems Modeling dataset Medicine Microbial Natural Products and Biosynthesis Open access
Alexander Kloosterman, Peter Cimermančič, Somayah S. Elsayed, Michalis Hadjithomas, Mohamed S. Donia, Gilles P. van Wezel, +1 more
0citations -
A Hybrid CART-Gaussian Process Framework for Day-Ahead Electricity Load Forecasting with Uncertainty Quantification2025 International Conference on Power and Renewable Energy Engineering (PREE) conference-paper Engineering Energy Load and Power Forecasting
Ei Thu Thu Tun, Chawalit Jeenanunta, Pyae Pyae Phyo, Kamal Chapagain
0citations -
Physics-Based Machine Learning: Opportunities and Challenges for Mantle Convection2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Model Reduction and Neural Networks Open access
Marilina Valatsou, Denise Degen, Juliane Dannberg, René Gassmöller, Florian Wellmann
0citations -
Scalable and interpretable quantum natural language processing: an implementation on trapped ions2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Tiffany Duneau, Gabriel Matos, Tuomas Laakkonen, Katerina Saiti, Anna Pearson, Konstantinos Meichanetzidis, +1 more
0citations