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Christoph Posch

Showing results (1-10 of 13) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|April 3, 2013
Event-based 3D reconstruction from neuromorphic retinasJoão Carneiro, Sio-Hoi Ieng, Christoph Posch, et al.
IEEE Transactions on Neural Networks|September 29, 2011
Asynchronous event-based hebbian epipolar geometryRyad Benosman, Sio-Hoï Ieng, Paul Rogister, et al.
Bioprocess and Biosystems Engineering|December 29, 2020
Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed trainTanja Hernández Rodríguez, Christoph Posch, Ralf Pörtner, et al.
Biotechnology Progress|May 14, 2015
Progress toward forecasting product quality and quantity of mammalian cell culture processes by performance-based modelingTimo Schmidberger, Christoph Posch, Alexandra Sasse, et al.
Engineering in Life Sciences|September 18, 2020
Investigation of cell line specific responses to pH inhomogeneity and consequences for process designKatrin Paul, Thomas Hartmann, Christoph Posch, et al.
Frontiers in Neuroscience|September 20, 2016
Event-Based Tone Mapping for Asynchronous Time-Based Image SensorCamille Simon Chane, Sio-Hoi Ieng, Christoph Posch, et al.
Neural Computation|February 25, 2015
Visual tracking using neuromorphic asynchronous event-based camerasZhenjiang Ni, Sio-Hoi Ieng, Christoph Posch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
HFirst: A Temporal Approach to Object RecognitionGarrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, et al.
Biotechnology Journal|January 13, 2017
The impact of pH inhomogeneities on CHO cell physiology and fed-batch process performance - two-compartment scale-down modelling and intracellular pH excursionMatthias Brunner, Philipp Braun, Philipp Doppler, et al.
Biotechnology and Bioengineering|July 27, 2019
Predicting industrial-scale cell culture seed trains-A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC methodTanja Hernández Rodríguez, Christoph Posch, Julia Schmutzhard, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|April 3, 2013
Event-based 3D reconstruction from neuromorphic retinasJoão Carneiro, Sio-Hoi Ieng, Christoph Posch, et al.
IEEE Transactions on Neural Networks|September 29, 2011
Asynchronous event-based hebbian epipolar geometryRyad Benosman, Sio-Hoï Ieng, Paul Rogister, et al.
Bioprocess and Biosystems Engineering|December 29, 2020
Dynamic parameter estimation and prediction over consecutive scales, based on moving horizon estimation: applied to an industrial cell culture seed trainTanja Hernández Rodríguez, Christoph Posch, Ralf Pörtner, et al.
Biotechnology Progress|May 14, 2015
Progress toward forecasting product quality and quantity of mammalian cell culture processes by performance-based modelingTimo Schmidberger, Christoph Posch, Alexandra Sasse, et al.
Engineering in Life Sciences|September 18, 2020
Investigation of cell line specific responses to pH inhomogeneity and consequences for process designKatrin Paul, Thomas Hartmann, Christoph Posch, et al.
Frontiers in Neuroscience|September 20, 2016
Event-Based Tone Mapping for Asynchronous Time-Based Image SensorCamille Simon Chane, Sio-Hoi Ieng, Christoph Posch, et al.
Neural Computation|February 25, 2015
Visual tracking using neuromorphic asynchronous event-based camerasZhenjiang Ni, Sio-Hoi Ieng, Christoph Posch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
HFirst: A Temporal Approach to Object RecognitionGarrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, et al.
Biotechnology Journal|January 13, 2017
The impact of pH inhomogeneities on CHO cell physiology and fed-batch process performance - two-compartment scale-down modelling and intracellular pH excursionMatthias Brunner, Philipp Braun, Philipp Doppler, et al.
Biotechnology and Bioengineering|July 27, 2019
Predicting industrial-scale cell culture seed trains-A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC methodTanja Hernández Rodríguez, Christoph Posch, Julia Schmutzhard, et al.
Pageof 2