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ORCIDDaniel Graupe
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2010 – 2019
- 2019
[b5]Daniel Graupe:
Principles of Artificial Neural Networks - Basic Designs to Deep Learning, Fourth Edition. Advanced Series in Circuits and Systems 8, WorldScientific 2019, ISBN 9789811201226, pp. 1-440- 2018
- [c7]Nivedita Khobragade
, Daniela Tuninetti, Daniel Graupe:
On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement Disorders. EMBC 2018: 2190-2193 - 2016
- [b4]Daniel Graupe:
Deep Learning Neural Networks - Design and Case Studies. WorldScientific 2016, ISBN 9789813146440, pp. 1-280 - 2015
- [c6]Nivedita Khobragade, Daniel Graupe, Daniela Tuninetti:
Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictor. EMBC 2015: 2616-2619 - 2014
- [c5]Pitamber Shukla, Ishita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin:
On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck Process. EMBC 2014: 2609-2612 - 2013
- [b3]Daniel Graupe:
Principles of Artificial Neural Networks - 3rd Edition. Advanced Series in Circuits and Systems 7, World Scientific 2013, ISBN 978-981-4522-73-1, pp. 1-384 - 2012
- [c4]Pitamber Shukla, Ishita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin:
A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders. EMBC 2012: 4140-4143 - 2011
- [c3]Ishita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin:
Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMG. EMBC 2011: 7711-7714 - 2010
- [j14]Ishita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin:
Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data. Biol. Cybern. 103(4): 273-283 (2010)
2000 – 2009
- 2008
- [j13]Nathan C. Schneider, Daniel Graupe:
A Modified Lamstar Neural Network and its Applications. Int. J. Neural Syst. 18(4): 331-337 (2008) - 2007
- [b2]Daniel Graupe:
Principles of Artificial Neural Networks - 2nd Edition. Advanced Series in Circuits and Systems 6, World Scientific 2007, ISBN 978-981-270-624-9, pp. 1-320 - 2003
- [j12]Dusan Veselinovic, Daniel Graupe:
A wavelet transform approach to blind adaptive filtering of speech from unknown noises. IEEE Trans. Circuits Syst. II Express Briefs 50(3): 150-154 (2003) - 2001
- [j11]Hubert Kordylewski, Daniel Graupe, Kai Liu:
A novel large-memory neural network as an aid in medical diagnosis applications. IEEE Trans. Inf. Technol. Biomed. 5(3): 202-209 (2001) - 2000
- [j10]Daniel Graupe, Dusan Veselinovic:
Blind adaptive filtering of speech from noise of unknown spectrum using a virtual feedback configuration. IEEE Trans. Speech Audio Process. 8(2): 146-158 (2000)
1990 – 1999
- 1998
- [j9]Daniel Graupe, Hubert Kordylewski:
A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and Diagnosis. Int. J. Softw. Eng. Knowl. Eng. 8(1): 115-138 (1998) - [j8]Shi-Kuo Chang, Daniel Graupe, Keiko Hasegawa, Hubert Kordylewski:
An Active Multimedia Information System for Information Retrieval, Discovery and Fusion. Int. J. Softw. Eng. Knowl. Eng. 8(1): 139-160 (1998) - 1997
- [b1]Daniel Graupe:
Principles of Artificial Neural Networks. Advanced Series in Circuits and Systems 3, World Scientific 1997, pp. 1-252 - 1994
- [c2]Daniel Graupe, Hubert Kordylewski:
Neural Network Control of FES in Paraplegics for Patient-Responsive Ambulation. ISCAS 1994: 249-252 - 1991
- [c1]Walter Etter, George S. Moschytz, Daniel Graupe:
Adaptive noise reduction using discrimination functions. ICASSP 1991: 965-968
1980 – 1989
- 1989
- [j7]Daniel Graupe:
EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking. IEEE Trans. Biomed. Eng. 36(7): 711-719 (1989) - [j6]Alvin Todd Moser, Daniel Graupe:
Identification of nonstationary models with application to myoelectric signals for controlling electrical stimulation of paraplegics. IEEE Trans. Acoust. Speech Signal Process. 37(5): 713-719 (1989) - 1980
- [j5]Daniel Graupe, V. K. Jain, Javad Salahi:
A comparative analysis of various least-squares identification algorithms. Autom. 16(6): 663-681 (1980)
1970 – 1979
- 1979
- [j4]Daniel Graupe, Eli Fogel:
A unified sequential identification structure based on convergence considerations. Autom. 15(3): 383 (1979) - 1976
- [j3]Daniel Graupe, Eli Fogel:
A unified sequential identification structure based on convergence considerations. Autom. 12(1): 53-59 (1976) - 1975
- [j2]Daniel Graupe, William K. Cline:
Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes. IEEE Trans. Syst. Man Cybern. 5(2): 252-259 (1975) - 1972
- [j1]Amnon Hammer, John W. Lynn, Daniel Graupe:
Investigation of a Learning Control System with Interpolation. IEEE Trans. Syst. Man Cybern. 2(3): 388-395 (1972)
Coauthor Index
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