Daniel Graupe

According to our database1, Daniel Graupe authored at least 26 papers between 1972 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1985, "For contributions to adaptive filtering and its application to simulation of paraplegics and in prosthetics.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2019
Principles of Artificial Neural Networks - Basic Designs to Deep Learning, Fourth Edition
Advanced Series in Circuits and Systems 8, WorldScientific, ISBN: 9789811201240, 2019

2018
On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement Disorders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Deep Learning Neural Networks - Design and Case Studies
WorldScientific, ISBN: 9789813146471, 2016

2015
Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictor.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck Process.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Principles of Artificial Neural Networks - 3<sup>rd</sup> Edition
Advanced Series in Circuits and Systems 7, World Scientific, ISBN: 978-981-4522-75-5, 2013

2012
A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data.
Biol. Cybern., 2010

2008
A Modified Lamstar Neural Network and its Applications.
Int. J. Neural Syst., 2008

2007
Principles of Artificial Neural Networks - 2<sup>nd</sup> Edition
Advanced Series in Circuits and Systems 6, World Scientific, ISBN: 978-981-4475-56-3, 2007

2003
A wavelet transform approach to blind adaptive filtering of speech from unknown noises.
IEEE Trans. Circuits Syst. II Express Briefs, 2003

2001
A novel large-memory neural network as an aid in medical diagnosis applications.
IEEE Trans. Inf. Technol. Biomed., 2001

2000
Blind adaptive filtering of speech from noise of unknown spectrum using a virtual feedback configuration.
IEEE Trans. Speech Audio Process., 2000

1998
A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and Diagnosis.
Int. J. Softw. Eng. Knowl. Eng., 1998

An Active Multimedia Information System for Information Retrieval, Discovery and Fusion.
Int. J. Softw. Eng. Knowl. Eng., 1998

1997
Principles of Artificial Neural Networks
Advanced Series in Circuits and Systems 3, World Scientific, 1997

1995
Artificial neural network control of FES in paraplegics for patient responsive ambulation.
IEEE Trans. Biomed. Eng., 1995

1994
Neural Network Control of FES in Paraplegics for Patient-Responsive Ambulation.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1991
Adaptive noise reduction using discrimination functions.
Proceedings of the 1991 International Conference on Acoustics, 1991

1989
Identification of nonstationary models with application to myoelectric signals for controlling electrical stimulation of paraplegics.
IEEE Trans. Acoust. Speech Signal Process., 1989

EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking.
IEEE Trans. Biomed. Eng., 1989

1980
A comparative analysis of various least-squares identification algorithms.
Autom., 1980

1976
A unified sequential identification structure based on convergence considerations.
Autom., 1976

1975
Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes.
IEEE Trans. Syst. Man Cybern., 1975

1972
Investigation of a Learning Control System with Interpolation.
IEEE Trans. Syst. Man Cybern., 1972


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