Papers matching “high-dimensional problems” 106
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A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history2022 Journal of the American Medical Informatics Association article Computer Science Machine Learning in Healthcare Open access
Marc P. Maurits, Ilya Korsunsky, Soumya Raychaudhuri, Shawn N. Murphy, Jordan W. Smoller, Scott T. Weiss, +8 more
13citations -
A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things2021 IEEE Internet of Things Journal article Computer Science Network Security and Intrusion Detection
Ruijie Zhao, Guan Gui, Zhi Xue, Jie Yin, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, +1 more
225citations -
Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks2024 Structural Safety article Decision Sciences Probabilistic and Robust Engineering Design Open access
Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields
24citations -
Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization2025 Structural and Multidisciplinary Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access
Fu Xing Long, Bas van Stein, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck
11citations -
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access
Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe
0citations -
Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data2020 Biometrical Journal article Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access
Magnus Münch, Mark A. van de Wiel, Sylvia T. Richardson, Gwenaël G. R. Leday
4citations -
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access
Alina Bazarova, Johann F. Jadebeck, Henrik Zunker, Carolina J. Klett-Tammen, Torben Heinsohn, Wolfgang Wiechert, +2 more
0citations -
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, +2 more
150citations -
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses2023 Proceedings - IEEE International Conference on Robotics and Automation/Proceedings conference-paper Computer Science Reinforcement Learning in Robotics
Hongzhuo Liang, Cong Lin, Jianzhi Lyu, Pingfa Feng, Jianwei Zhang
25citations