Daniel Graupe

28 papers B 1C 1Misc 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2019 — book
Principles of Artificial Neural Networks - Basic Designs to Deep Learning, Fourth Edition
Principles of Artificial Neural Networks (4th Ed.)
Daniel Graupe
2018 — conf
On the need for adaptive learning in on-demand Deep Brain Stimulation for Movement Disorders.
EMBC
Nivedita Khobragade, Daniela Tuninetti, Daniel Graupe
2016 — book
Deep Learning Neural Networks - Design and Case Studies
Deep Learning Neural Networks
Daniel Graupe
2015 — conf
Towards fully automated closed-loop Deep Brain Stimulation in Parkinson's disease patients: A LAMSTAR-based tremor predictor.
EMBC
Nivedita Khobragade, Daniel Graupe, Daniela Tuninetti
2014 — conf
On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck Process.
EMBC
Pitamber Shukla, Ishita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin
2013 — book
Principles of Artificial Neural Networks - 3
Daniel Graupe
2012 — conf
A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders.
EMBC
Pitamber Shukla, Ishita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin
2011 — conf
Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMG.
EMBC
Ishita Basu, Daniela Tuninetti, Daniel Graupe, Konstantin V. Slavin
2010 J jnl
Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data.
Biol. Cybern.
Ishita Basu, Daniel Graupe, Daniela Tuninetti, Konstantin V. Slavin
2008 J jnl
A Modified Lamstar Neural Network and its Applications.
Int. J. Neural Syst.
Nathan C. Schneider, Daniel Graupe
2007 — book
Principles of Artificial Neural Networks - 2
Daniel Graupe
2005 B conf
A motion trajectory based video retrieval system using parallel adaptive self organizing maps.
IJCNN
Wei Qu, Faisal I. Bashir, Daniel Graupe, Ashfaq Khokhar, Dan Schonfeld
2003 J jnl
A wavelet transform approach to blind adaptive filtering of speech from unknown noises.
IEEE Trans. Circuits Syst. II Express Briefs
Dusan Veselinovic, Daniel Graupe
2001 J jnl
A novel large-memory neural network as an aid in medical diagnosis applications.
IEEE Trans. Inf. Technol. Biomed.
Hubert Kordylewski, Daniel Graupe, Kai Liu
2000 J jnl
Blind adaptive filtering of speech from noise of unknown spectrum using a virtual feedback configuration.
IEEE Trans. Speech Audio Process.
Daniel Graupe, Dusan Veselinovic
1998 J jnl
A Large Memory Storage and Retrieval Neural Network for Adaptive Retrieval and Diagnosis.
Int. J. Softw. Eng. Knowl. Eng.
Daniel Graupe, Hubert Kordylewski
1998 J jnl
An Active Multimedia Information System for Information Retrieval, Discovery and Fusion.
Int. J. Softw. Eng. Knowl. Eng.
Shi-Kuo Chang, Daniel Graupe, Keiko Hasegawa, Hubert Kordylewski
1997 — book
Principles of Artificial Neural Networks
Daniel Graupe
1995 J jnl
Artificial neural network control of FES in paraplegics for patient responsive ambulation.
IEEE Trans. Biomed. Eng.
Daniel Graupe, Hubert Kordylewski
1994 C conf
Neural Network Control of FES in Paraplegics for Patient-Responsive Ambulation.
ISCAS
Daniel Graupe, Hubert Kordylewski
1991 Misc conf
Adaptive noise reduction using discrimination functions.
ICASSP
Walter Etter, George S. Moschytz, Daniel Graupe
1989 J jnl
EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking.
IEEE Trans. Biomed. Eng.
Daniel Graupe
1989 J jnl
Identification of nonstationary models with application to myoelectric signals for controlling electrical stimulation of paraplegics.
IEEE Trans. Acoust. Speech Signal Process.
Alvin Todd Moser, Daniel Graupe
1980 J jnl
A comparative analysis of various least-squares identification algorithms.
Autom.
Daniel Graupe, V. K. Jain, Javad Salahi
1979 J jnl
A unified sequential identification structure based on convergence considerations.
Autom.
Daniel Graupe, Eli Fogel
1976 J jnl
A unified sequential identification structure based on convergence considerations.
Autom.
Daniel Graupe, Eli Fogel
1975 J jnl
Functional Separation of EMG Signals via ARMA Identification Methods for Prosthesis Control Purposes.
IEEE Trans. Syst. Man Cybern.
Daniel Graupe, William K. Cline
1972 J jnl
Investigation of a Learning Control System with Interpolation.
IEEE Trans. Syst. Man Cybern.
Amnon Hammer, John W. Lynn, Daniel Graupe