Daniel Graupe - researchr alias

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Viewing Publication 1 - 25 from 25

2019

Principles of Artificial Neural Networks - Basic Designs to Deep Learning, Fourth EditionDaniel Graupe. Volume 8 of Advanced Series in Circuits and Systems, WorldScientific, 2019. [doi]

2018

On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement DisordersNivedita Khobragade, Daniela Tuninetti, Daniel Graupe. embc 2018: 2190-2193 [doi]

2016

Deep Learning Neural Networks - Design and Case StudiesDaniel Graupe. WorldScientific, 2016. [doi]

2015

Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictorNivedita Khobragade, Daniel Graupe, Daniela Tuninetti. embc 2015: 2616-2619 [doi]

2014

On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck ProcessPitamber Shukla, Ishita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin. embc 2014: 2609-2612 [doi]

2013

rd EditionDaniel Graupe. Volume 7 of Advanced Series in Circuits and Systems, World Scientific, 2013. [doi]

2012

A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disordersPitamber Shukla, Ishita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin. embc 2012: 4140-4143 [doi]

2011

Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMGIshita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin. embc 2011: 7711-7714 [doi]

2010

Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient dataIshita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin. bc, 103(4):273-283, 2010. [doi]

2008

A Modified Lamstar Neural Network and its ApplicationsNathan C. Schneider, Daniel Graupe. IJNS, 18(4):331-337, 2008. [doi]

2007

nd EditionDaniel Graupe. Volume 6 of Advanced Series in Circuits and Systems, World Scientific, 2007. [doi]

2003

A wavelet transform approach to blind adaptive filtering of speech from unknown noisesDusan Veselinovic, Daniel Graupe. tcasII, 50(3):150-154, 2003. [doi]

2001

A novel large-memory neural network as an aid in medical diagnosis applicationsHubert Kordylewski, Daniel Graupe, Kai Liu. titb, 5(3):202-209, 2001.

2000

Blind adaptive filtering of speech from noise of unknown spectrum using a virtual feedback configurationDaniel Graupe, Dusan Veselinovic. taslp, 8(2):146-158, 2000. [doi]

1998

An Active Multimedia Information System for Information Retrieval, Discovery and FusionShi-Kuo Chang, Daniel Graupe, Keiko Hasegawa, Hubert Kordylewski. ijseke, 8(1):139-160, 1998. [doi]

A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and DiagnosisDaniel Graupe, Hubert Kordylewski. ijseke, 8(1):115-138, 1998. [doi]

1997

Principles of Artificial Neural NetworksDaniel Graupe. Volume 3 of Advanced Series in Circuits and Systems, World Scientific, 1997. [doi]

1994

Neural Network Control of FES in Paraplegics for Patient-Responsive AmbulationDaniel Graupe, Hubert Kordylewski. iscas 1994: 249-252

1991

Adaptive noise reduction using discrimination functionsWalter Etter, George S. Moschytz, Daniel Graupe. icassp 1991: 965-968 [doi]

1989

Identification of nonstationary models with application to myoelectric signals for controlling electrical stimulation of paraplegicsAlvin Todd Moser, Daniel Graupe. tsp, 37(5):713-719, 1989. [doi]

1980

A comparative analysis of various least-squares identification algorithmsDaniel Graupe, V. K. Jain, Javad Salahi. automatica, 16(6):663-681, 1980. [doi]

1979

A unified sequential identification structure based on convergence considerationsDaniel Graupe, Eli Fogel. automatica, 15(3):383, 1979. [doi]

1976

A unified sequential identification structure based on convergence considerationsDaniel Graupe, Eli Fogel. automatica, 12(1):53-59, 1976. [doi]

1975

Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control PurposesDaniel Graupe, William K. Cline. tsmc, 5(2):252-259, 1975. [doi]

1972

Investigation of a Learning Control System with InterpolationAmnon Hammer, John W. Lynn, Daniel Graupe. tsmc, 2(3):388-395, 1972. [doi]

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