Papers matching “training data generation” 855
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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
1citations -
The impact of gait pattern personalization on the perception of rigid robotic guidance: a pilot user experience evaluation2026 Frontiers in Robotics and AI article Engineering Prosthetics and Rehabilitation Robotics Open access
Beatrice Luciani, Katherine L. Poggensee, Heike Vallery, Alfred Berg, Severin David Woernle, Mostafa Mogharabi, +2 more
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
Reproducibility Archive for Explainable Machine Learning Integrating Quantum Mechanical Descriptors and Matched Molecular Pair Analysis for Scaffold-Generalizable Discovery of Soluble Epoxide Hydrolase Inhibitors.2026 Zenodo (CERN European Organization for Nuclear Research) dataset Pharmacology, Toxicology and Pharmaceutics Computational Drug Discovery Methods Open access
Dileep Kumar, Ajwin Joseph Martin, Maria Grishina, Mohd Shahbaaz
0citations -
The impact of gait pattern personalization on the perception of rigid robotic guidance: a pilot user experience evaluation2026 Frontiers in Robotics and AI article Engineering Prosthetics and Rehabilitation Robotics Open access
Beatrice Luciani, Katherine L. Poggensee, Heike Vallery, Alex van den Berg, Severin David Woernle, Mostafa Mogharabi, +2 more
0citations -
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustín Salcedo, Florian Kleemiss, +2 more
0citations -
Enhancing BEV Energy Management: Neural Network-Based System Identification for Thermal Control Strategies2024 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Advanced Battery Technologies Research
Kai Franke, David Hemkemeyer, Patrick Schutzeich, Lukas Schäfers, Stefan Pischinger
0citations -
Inverse Filtering for ECG Signal Reconstruction-A Deep Learning Approach2025 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) conference-paper Medicine ECG Monitoring and Analysis
Markus Lueken, Yessine Chaabene, Matthias Daniel Zink, Steffen K. Leonhardt
0citations -
The Hitchhiker’s guide to longitudinal models: A primer on model selection for repeated-measures methods2023 Developmental Cognitive Neuroscience article Mathematics Statistical Methods and Bayesian Inference Open access
Ethan Michael McCormick, Michelle L. Byrne, John Coleman Flournoy, Kathryn L. Mills, Jennifer H. Pfeifer
47citations