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M Galicki

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Networks|February 7, 2008
Learning continuous trajectories in recurrent neural networks with time-dependent weightsM Galicki, L Leistritz, H Witte
IEEE Transactions on Neural Networks|January 1, 1997
Structure optimization of neural networks with the A*-algorithmA Doering, M Galicki, H Witte
IEEE Transactions on Neural Networks|February 6, 2008
Initial state training procedure improves dynamic recurrent networks with time-dependent weightsL Leistritz, M Galicki, H Witte, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 6, 2002
Prediction of movement following noxious stimulation during 1 minimum alveolar anesthetic concentration isoflurane/nitrous oxide anesthesia by means of middle latency auditory evoked responsesL Leistritz, E Kochs, M Galicki, et al.
Medinfo. MEDINFO|January 1, 1995
Structure optimization of neural networks with A* -algorithm application in EEG pattern analysisA Doering, M Galicki, H Witte, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|November 27, 1999
Identification of hemifield single trial PVEP on the basis of generalized dynamic neural network classifiersL Leistritz, K Hoffmann, M Galicki, et al.
IEEE Transactions on Neural Networks|February 5, 2008
Training trajectories by continuous recurrent multilayer networksL Leistritz, M Galicki, H Witte, et al.
Experimental Oncology|June 21, 2008
Promoter methylation of cancer-related genes in gastric carcinomaT Poplawski, K Tomaszewska, M Galicki, et al.
Medinfo. MEDINFO|January 1, 1995
Application of optimized pattern recognition units in EEG analysis: common optimization of preprocessing and weights of neural networks as well as structure optimizationH Witte, A Doering, M Galicki, et al.
Methods of Information in Medicine|October 16, 1999
Adaptable preprocessing units and neural classification for the segmentation of EEG signalsA Doering, H Jäger, H Witte, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|February 7, 2008
Learning continuous trajectories in recurrent neural networks with time-dependent weightsM Galicki, L Leistritz, H Witte
IEEE Transactions on Neural Networks|January 1, 1997
Structure optimization of neural networks with the A*-algorithmA Doering, M Galicki, H Witte
IEEE Transactions on Neural Networks|February 6, 2008
Initial state training procedure improves dynamic recurrent networks with time-dependent weightsL Leistritz, M Galicki, H Witte, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 6, 2002
Prediction of movement following noxious stimulation during 1 minimum alveolar anesthetic concentration isoflurane/nitrous oxide anesthesia by means of middle latency auditory evoked responsesL Leistritz, E Kochs, M Galicki, et al.
Medinfo. MEDINFO|January 1, 1995
Structure optimization of neural networks with A* -algorithm application in EEG pattern analysisA Doering, M Galicki, H Witte, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|November 27, 1999
Identification of hemifield single trial PVEP on the basis of generalized dynamic neural network classifiersL Leistritz, K Hoffmann, M Galicki, et al.
IEEE Transactions on Neural Networks|February 5, 2008
Training trajectories by continuous recurrent multilayer networksL Leistritz, M Galicki, H Witte, et al.
Experimental Oncology|June 21, 2008
Promoter methylation of cancer-related genes in gastric carcinomaT Poplawski, K Tomaszewska, M Galicki, et al.
Medinfo. MEDINFO|January 1, 1995
Application of optimized pattern recognition units in EEG analysis: common optimization of preprocessing and weights of neural networks as well as structure optimizationH Witte, A Doering, M Galicki, et al.
Methods of Information in Medicine|October 16, 1999
Adaptable preprocessing units and neural classification for the segmentation of EEG signalsA Doering, H Jäger, H Witte, et al.
Pageof 2