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J.D. Wichard
Forecasting the NN5 Time Series with hybrid models
International Journal of Forecasting
Article in Press, DOI: 10.1016/j.ijforecast.2010.02.011, 2010.
J.D. Wichard, S. Bandholtz, C. Groetzinger and R. Kuehne
Computer Assisted Peptide Design and Optimization with Topology Preserving Neural Networks
Proceedings of the 10th International Conference on
Artificial Intelligence and Soft Computing, Zakopane, Poland, June 2010,
Springer Lecture Notes in Artificial Intelligence, Vol. 6114, 2010.
J. Wichard, R. Kuehne
Predicting aqueous solubility from structure
Journal of the University of Applied Sciences Mittweida,
Proceedings of the 20. IWKM, 28.-29. Oct 2009.
M. Lisurek, B. Rupp, J. Wichard, M. Neuenschwander, J.P. von Kries, R. Frank, J. Rademann, R. Kuehne
Design of chemical libraries with potentially bioactive molecules applying a maximum common substructure concept
Molecular Diversity, DOI 10.1007/s11030-009-9187-z, 2009.
J.D. Wichard, S. Bandholtz, C. Groetzinger and R. Kuehne
Topology Preserving Neural Networks for Peptide Design in Drug Discovery
In: Computational Intelligence Methods for Bioinformatics and Biostatistics
Springer Lecture Notes in Bioinformatics, Vol. 5488,
Masulli, Tagliaferri, Verkhivker (Eds.), pp. 223-241, 2009.
C. Merkwirth, J. Wichard, M. Ogorzalek
Ensemble Modeling for Bio-medical Applications
In: Modelling Dynamics in Processes and Systems,
Springer Studies in Computational Intelligence, Vol. 180,
Mitkowski, Wojciech, Kacprzyk, Janusz (Eds.), pp. 119-135, 2009.
J.D. Wichard and R. Kuehne
Topology Preserving Neural Networks for Peptide Design in Drug Discovery
Proceedings of the CIBB2008, IIASS - Vietri sul Mare, Salerno, Italy, 3-4 October 2008.
J.D. Wichard, H. Cammann, C. Stephan and T. Tolxdorff
Classification Models for Early Detection of Prostate Cancer
Journal of Biomedicine and Biotechnology,
Article ID 218097, doi:10.1155/2008/218097, 2008.
Joerg D. Wichard, Ronald Kuehne and Antonius ter Laak
Binding Site Detection via Mutual Information
Proceedings of the WCCI 2008, Page(s):1770-1776, Hong Kong.
J.D. Wichard
Classification of Ford Motor Data
Contribution to the Ford Classification Challenge at WCCI 2008, Hong Kong.
J.D. Wichard
Forecasting the NN5 Time Series
Contribution to the NN5 Time Series Forecasting Competition, WCCI 2008, Hong Kong.
J.D. Wichard
Agnostic Learning with Ensembles of Classifiers
Proceedings of the IJCNN 2007, Page(s):2887 - 2891, Orlando, Florida, USA.
J.D. Wichard, H. Cammann, T. Tolxdorff and C. Stephan
Early Detection of Prostate Cancer with Classifier Ensembles
Proceedings of the FBIT 2007, Frontiers in the Convergence of Bioscience and Information Technologies,
Page(s):367-372, Jeju Island, Korea.
J.D. Wichard, M. Ogorzalek
Time Series Prediction with Ensemble Models applied to the CATS Benchmark
Neurocomputing, Vol. 70, Nos. 13-15, Page(s):2371-2378, Aug. 2007.
Andreas Rothfuss, Thomas Steger-Hartmann, Nikolaus Heinrich, and Jörg Wichard
Computational Prediction of the Chromosome-Damaging Potential of Chemicals
Chemical Research in Toxicology, 19 (10), Page(s):1313 -1319, September 2006.
J.D. Wichard
Model Selection in an Ensemble Framework
Proceedings of the IEEE World Congress on Computational Intelligence WCCI 2006,
Page(s):2187- 2192, Vancouver, Canada.
C. Merkwirth, J.D. Wichard and M. Ogorzalek
A software toolbox for constructing ensembles of heterogenous linear and nonlinear models
Proceedings of the 2005 European Conference on Circuit Theory and Design,
Vol. 3, Page(s): 197-200 Cork, Ireland, 2005.
J.D. Wichard, C. Merkwirth
Robust Long Term Forecasting of Seasonal Time Series
IWANN 2005, Barcelona, Spain.
C. Merkwirth, J. Bröcker, J. Wichard, M. Ogorzalek
Can DT-CNN Classifiers outperform SVM?
Proceedings of NOLTA 2005, Pages:557-560, 2005 Bruges, Belgium.
J.D. Wichard, M. Ogorzalek, C. Merkwirth
Performance of finite iteration DTCNN with truncated stationary templates
Proceedings of the IEEE International Symposium on Circuits and Systems,
May 2005, Vol. 5, Page(s):4657 - 4660, Kobe, Japan.
M. Ogorzalek, C. Merkwirth, J.D. Wichard
Pattern Recognition using Finite-Iteration Cellular System
Proceedings of the CNNA 2005, Page(s):57- 60, Montreal, Canada.
J.D. Wichard, M. Ogorzalek
Time Series Prediction with Ensemble Models
Proceedings of the IJCNN 2004, Page(s):1625-1629, Budapest, Hungary.
J.D. Wichard, M. Ogorzalek, C. Merkwirth, J. Bröcker
Finite Iteration DT-CNN with Stationary Templates
Proceedings of the CNNA 2004, Page(s):459-464, Budapest, Hungary.
J.D. Wichard, M. Ogorzalek
Iterated Time Series Prediction with Ensemble Models
Proceedings of the IASTED 2004, Grindelwald, Switzerland.
C. Merkwirth, J. Bröcker, M. Ogorzalek, J.D. Wichard
Finite Iteration DT_CNN - New Design and Operation Principles
Proceedings of the ISCAS 2004, Page(s):504--507, Vancouver, Canada.
J.D. Wichard, M. Ogorzalek, C. Merkwirth
Detecting Correlation in Stock Market
Physica A, 344, Page(s):308-311, Special Issue: Applications of Physics in Financial Analysis 4 (APFA4), 2004, Warsaw, Poland.
C. Merkwirth, M. Ogorzalek, J.D. Wichard
Stochastic Gradient Descent Training of Ensembles of DT-CNN Classifiers for Digit Recognition
Proceedings of the European Conference on Circuit Theory and Design ECCTD'03, vol.2, Page(s):337-341,
1-4 September 2003, Krakow, Poland.
C. Merkwirth, J.D. Wichard, M. Ogorzalek
Active subset selection approach to nonlinear modeling of ECG data
Proceedings of the IEEE Int. Symposium on Circuits and Systems, Vol. 3, p. 758-762, 2003, Bangkok, Thailand.
P. Maass, T. Koehler, R. Costa, U. Parlitz, J. Kalden, J.D. Wichard and C. Merkwirth
Mathematical methods for forecasting bank transaction data,
DFG-Schwerpunktprogramm 1114, Preprint 24, 2003.
J.D. Wichard, C. Merkwirth, M. Ogorzalek
Building Ensembles with Heterogeneous Models
7th Course of the International School on Neural Nets
IIASS, 22-28 Sep. 2002, Salerno, Italy.
J.D. Wichard, U. Parlitz, W. Lauterborn
Nonlinear Time Seies Analysis in Production Systems
in: Attractors, Signals, and Synergetics
Proceedings of the 1st European Interdisciplinary School on nonlinear Dynamics
for System and Signal Analysis, EUROATTRACTOR 2000,
Warsaw, June 2000, W. Klonowski (ed.)
Page(s):261-267, Pabst Science Publishers (Lengerich, Germany, 2002).
J.D. Wichard
Methoden der angewandten Schwingungsphysik zur Analyse technischer Systeme
Dissertation, Göttingen (2000)
U.Parlitz, C.Merkwirth, J.Wichard, M.Wiesenfeldt, W.Lauterborn
Analysewerkzeuge für Maschinen- und Prozesszustände.
In: Technische Anwendungen von Erkenntnissen der nichlinearen Dynamik,
hrsg. v. VDI-Technologiezentrum Physikalische Technologien;
Düsseldorf : VDI-Technologiezentrum, Page(s):53-57 (1999)
J.D. Wichard, C. Merkwirth, U.Parlitz and W. Lauterborn
Effiziente Nachbar-Suchalgorithmen und deren Anwendung in der nichtlinearen Zeitreihenanalyse
Technische Anwendungen von Erkenntnissen der Nichlinearen Dynamik, Frankfurt a.M. 1999
U. Parlitz, W. Lauterborn, C. Merkwirth, J.D. Wichard,
TSTOOL - Datenanalyse mit Methoden der Nichtlinearen Dynamik
INFO PHYS TECH 23 (1999), VDI-Technologiezentrum Physikalische Technologien
J.D. Wichard, U.Parlitz and W. Lauterborn
Applications of nearest neighbour statistics
1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98),
Le Regent, Crans-Montana, Switzerland, Sept. 14-17, Page(s):1245-1248 (1998).
J.D. Wichard
Modellierung nichtlinearer dynamischer Systeme
Diplomarbeit, Göttingen (1997), Postscript
Wichard, Wiesenfeldt, Weigel
Verfahren zur beruehrungslosen Schwingungsmessung an rotierenden Maschinen
Schenck Vibro GmbH
Deutsche Patentanmeldung 100 14 748.8, 24.03.2000
Wichard, Parlitz, Buschbeck
Verfahren und Vorrichtung zur Bestimmung der einem angetriebenen Rotor anhaftenden Unwucht
Schenck RoTec GmbH
Deutsche Patentanmeldung 100 16 779.9, 05.04.2000
Thürk, Götz, Wichard, Merkwirth, Evert, Kamphausen, Brunzema, Wiesenfeldt
Verfahren und Vorrichtung zur Erfassung von Merkmalen durch Analyse einer Probe menschlicher oder tierischer
Koerperstoffe
Novel Science International GmbH
Deutsche Patentanmeldung 100 42 847, 30.08.2000
J.D. Wichard, C. Merkwirth, U.Parlitz and W. Lauterborn
Efficient nearest-neighbor search and its applications for nonlinear time series analysis,
Investigation of nonlinear dynamic effects in production systems, Aachen 1999