Computational Biology and Machine Learning

Publications

Research Areas (all - type sorted, all - area sorted)Publication Type
BNBiological and Complex Networks   BSBiostatistics
CBComputational Biology   CNComputational Neuroscience
ITInformation Theory   MLMachine Learning
MCMC Methods   CIComputational Intelligence
JJournal Article
CConference Article
BBook
BEBook (Ed.)
BCBook Chapter
PEProceedings (Ed.)
PAProceedings (Ass. Ed.)
TThesis
TRTechnical Report
Selected Publications in: BN BS CB CN IT ML MC CI
In Preparation
J   1. Frank Emmert-Streib
Detecting Modules in the Transcriptional Regulatory Network of Saccharomyces cerevisiae
in preparation
BN BS CB    IT ML    CI
2007
PA   2. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors)
Proceedings of the 2007 International Conference on Artificial Intelligence (ICAI'07)
Frank Emmert-Streib (Associate Editor), CSREA Press.
               ML MC CI
PA   3. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors)
Proceedings of the 2007 International Conference on Genetic and Evolutionary Methods (GEM'07)
Frank Emmert-Streib (Associate Editor), CSREA Press.
               ML    CI
PA   4. Hamid Arabnia and Mary Qu Yang and Jack Y. Yang (Editors)
Proceedings of the 2007 International Conference on Scientific Computing (CSC'07)
Frank Emmert-Streib (Associate Editor), CSREA Press.
               ML MC CI
J   5. Frank Emmert-Streib and Matthias Dehmer
Nonlinear Time Series Prediction based on a Power-Law Noise Model
International Journal of Modern Physics C, 18(12), 1839-1852.
               ML MC CI
C   6. Frank Emmert-Streib and Matthias Dehmer
Optimization Procedure for Predicting Nonlinear Time Series based on a non-Gaussian Noise Model
MICAI 2007: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS), 540-549.
               ML MC CI
2006
J   7. Matthias Dehmer and Frank Emmert-Streib and Jürgen Kilian
A Similarity Measure for Graphs with Low Computational Complexity
Applied Mathematics and Computation, 182(1), 447-459.
BN             ML    CI
J   8. Frank Emmert-Streib
A Heterosynaptic Learning Rule for Neural Networks
International Journal of Modern Physics C, 17(10), 1501-1520.
BN    CB CN    ML    CI
J   9. Matthias Dehmer and Frank Emmert-Streib and Alexander Mehler and Jürgen Kilian
Measuring the Structural Similarity of Web-based Documents: A novel Approach
International Journal of Computational Intelligence, 3(1), 1-7.
BN             ML    CI
C   10. Frank Emmert-Streib
A Novel Stochastic Learning Rule for Neural Networks
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Lecture Notes in Computer Science (LNCS), Jun Wang and Zhang Yi and Jacek M. Zurada and Bao-Liang Lu and Hujun Yin (Eds.), Springer, 414--423.
BN    CB CN    ML    CI
2005
J   11. Frank Emmert-Streib
Active Learning in Recurrent Neural Networks Facilitated by an Hebb-like Learning Rule with Memory
Neural Information Processing - Letters and Reviews, 9(2), 31-40.
BN    CB CN    ML    CI
2004
B   12. Frank Emmert-Streib
Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
Mensch & Buch Verlag, Berlin.
BN    CB CN    ML MC CI
2003
T   13. Frank Emmert-Streib
Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
Ph.D. Thesis - Theoretical Physics, Universität Bremen (Germany).
BN    CB CN    ML MC CI
Frank Emmert-Streib

Last modified: July 25 2007