Papers matching “deep learning training data” 641
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Speech separation for hearing-impaired children in the classroom2026 The Journal of the Acoustical Society of America article Computer Science Speech and Audio Processing Open access
Feyisayo Olalere, Kiki van der Heijden, Hendrik Christiaan Stronks, Jeroen Johannes Briaire, Johan H. M. Frijns, Yağmur Güçlütürk
0citations -
Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations2026 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, H. Jansen, N. Martinet, S. Grandis, Henk Hoekstra, S. -S. Li, +94 more
0citations -
Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections2020 Research Ideas and Outcomes article Computer Science Handwritten Text Recognition Techniques Open access
David C. Owen, Laurence Livermore, Quentin Groom, Alex Hardisty, Thijs Leegwater, Myriam van Walsum, +2 more
8citations -
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks2024 Journal of Chemical Theory and Computation article Chemistry Surfactants and Colloidal Systems Open access cited by 1 patent
Christoforos Brozos, Jan G. Rittig, Elie Akanny, Christina Kohlmann, Alexander Mitsos
21citations -
Urban Garden Ground-Cover UAV RGB Orthomosaic Dataset for Semantic Segmentation2026 Zenodo (CERN European Organization for Nuclear Research) dataset Engineering Remote-Sensing Image Classification Open access
Yasamin Afrasiabian, Chenghao Lu, Anirudh Belwalkar, Hany Elsharawy, Xiaoxin Song, Ying Yuan, +5 more
1citations -
A Semantic Segmentation Approach to Recognize Assault Rifles in ISIS Propaganda Images2020 IEEE International Conference on Semantic Computing (ICSC) conference-paper Computer Science Advanced Neural Network Applications Open access
Bhashithe Abeysinghe, Yannick Veilleux-Lepage, Mia M. Bloom, Rajshekhar Sunderraman
2citations -
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
216citations -
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-dimensional optimization2025 Nature Communications article Pharmacology, Toxicology and Pharmaceutics Computational Drug Discovery Methods Open access
David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more
11citations -
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization2025 ChemRxiv preprint Pharmacology, Toxicology and Pharmaceutics Computational Drug Discovery Methods Open access
David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more
3citations