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Sebastian Herzog

Evolving artificial neural networks with feedback
2019 · Sebastian Herzog, Christian Tetzlaff, et al. · Neural Networks · 81
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Efficient phenotypic sex classification of zebrafish using machine learning methods
2019 · Shahrbanou Hosseini, Henner Simianer, et al. · Ecology and Evolution · 30
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Spontaneous termination of chaotic spiral wave dynamics in human cardiac ion channel models
2019 · Marcel Aron, Sebastian Herzog, et al. · PLoS ONE · 27
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Genetic mechanism underlying sexual plasticity and its association with colour patterning in zebrafish (Danio rerio)
2019 · Shahrbanou Hosseini, Ngoc-Thuy Ha, et al. · BMC Genomics · 23
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One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms
2021 · Tomas Kulvicius, Sebastian Herzog, et al. · Frontiers in Neurorobotics · 20
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Data-Driven Modeling and Prediction of Complex Spatio-Temporal Dynamics in Excitable Media
2018 · Sebastian Herzog, Florentin Wörgötter, et al. · Frontiers in Applied Mathematics and Statistics · 19
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Quantum coupled mutation finder: predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming
2014 · Mehmet Gültas, Güncel Düzgün, et al. · BMC Bioinformatics · 17
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Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos
2019 · S. Herzog, F. Wörgötter, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 15
Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
2025 · Luk Fleddermann, Sebastian Herzog, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 13
proPTV: A probability-based particle tracking velocimetry framework
2024 · Robin Barta, Christian Bauer, et al. · Journal of Computational Physics · 12
Tutorial: a beginner’s guide to building a representative model of dynamical systems using the adjoint method
2024 · Leon Lettermann, Alejandro Jurado, et al. · Communications Physics · 12
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A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities
2021 · Sebastian Herzog, Daniel Schiepel, et al. · SN Computer Science · 11
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Transfer entropy-based feedback improves performance in artificial neural networks
2017 · Herzog, Sebastian, Tetzlaff, Christian, et al. · arXiv (Cornell University) · 10
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Reconstructing in-depth activity for chaotic 3D spatiotemporal excitable media models based on surface data
2023 · R. Stenger, S. Herzog, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 8
Finding Optimal Paths Using Networks Without Learning—Unifying Classical Approaches
2021 · Tomas Kulvicius, Sebastian Herzog, et al. · IEEE Transactions on Neural Networks and Learning Systems · 8
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Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders
2021 · Sebastian Herzog, Roland S. Zimmermann, et al. · Frontiers in Applied Mathematics and Statistics · 8
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One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks
2020 · Tomas Kulvicius, Sebastian Herzog, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 8
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Generation of movements with boundary conditions based on optimal control theory
2017 · Sebastian Herzog, Florentin Wörgötter, et al. · Robotics and Autonomous Systems · 7
Active Bending of Disordered Microtubule Bundles by Kinesin Motors
2022 · Vahid Nasirimarekani, Smrithika Subramani, et al. · ACS Omega · 6
Shape optimization of aircraft cabin ventilation components using adjoint CFD
2014 · T Köthe, S Herzog, et al. · CRC Press eBooks · 5
Application of neural ordinary differential equations to the prediction of multi-agent systems
2021 · Sebastian Herzog, Florentin Wörgötter · Artificial Life and Robotics · 4
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Optimal trajectory generation for generalization of discrete movements with boundary conditions
2016 · Sebastian Herzog, Florentin Worgotter, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 4
Shape Optimization of High Speed Trains using Adjoint-Based Computational Fluid Dynamics
2012 · D. Jakubek, S. Herzog, et al. · International Journal of Railway Technology · 3
Experimental Study of Turbulent Rayleigh-Bénard Convection Using Large-Scale Tomo-PIV and High-Density PTV
2017 · Daniel Schiepel, Sebastian Herzog, et al. · Notes on numerical fluid mechanics and multidisciplinary design · 2
Shape Optimization of Train Heads with respect to the Aerodynamic Loads on Track Side Objects
2014 · C. Wagner, G. Horstmann, et al. · International Journal of Railway Technology · 2
Works count: 43
Citation count: 358
H-index: 11
I10-index: 13
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