Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning | Journal of Chemical Theory and Computation
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Machine learning dismantling and early-warning signals of disintegration in complex systems | Nature Communications
Time series in healthcare: challenges and solutions // van der Schaar Lab
Frontiers | Prediction of wastewater treatment system based on deep learning
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Physics-informed neural networks - Wikipedia
Closed-form continuous-time neural networks | Nature Machine Intelligence
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Artificial neural network - Wikipedia
Frontiers | Generative Models of Brain Dynamics
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI | PLOS Computational Biology
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Applied Sciences | Free Full-Text | Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes | Industrial & Engineering Chemistry Research
From Computational Fluid Dynamics to Structure Interpretation via Neural Networks: An Application to Flow and Transport in Porous Media | Industrial & Engineering Chemistry Research
Modeling of dynamical systems through deep learning | SpringerLink
Unraveling hidden interactions in complex systems with deep learning | Scientific Reports
Computers | Free Full-Text | Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
