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Publications
2010
Behnisch, M., Ultsch, A.,: Urban Data Mining - Eine Methodik zur raumbezogenen
Wissensextraktion, in: GIS Science Zeitschrift für
Geoinformatik 4/2010 135-147
Behnisch, M., Ultsch, A.,: Population Patterns in Switzerland
1850-2000 (eds.): Advances in Data Analysis,
Data Handling and Business Intelligence (Proc. of the 34nd Annual
Conference of the Gesellschaft für
Klassifikation .e.V., July 21-23, 2010,
Karlsruhe), Springer Verlag
Heise, R., Ultsch, A., : Data Mining to Distinguish Wave from Thermal Climbs in
Flight Data, to appear in Advances in Data Analysis,
Data Handling and Business Intelligence (Proc. of the 34nd Annual
Conference of the Gesellschaft für Klassifikation e.V., July 21-23,
2010, Karlsruhe), Springer Verlag
Ultsch, A. Is log ratio a good Value for measuring Return in
Stock Investments ?, to appear in Fink,A. et al (Eds.)
Advances in Data Analysis. Data Handling and Business Intelligence,
Springer Studies in Classification, Data Analysis and Knowledge
Organization, Springer, pp 505-511, 2010.
Ultsch,A., Herrmann,L.: Self Organized Swarms for cluster preserving
Projections of high-dimensional Data, Workshop über
Selbstorganisierende, adaptive kontextsensitive verteilte
Systeme (SAKS 2010),Electronic Communications of the
EASST Volume 27 (2010)
2009
Behnisch, M., Ultsch, A.,:
Estimating the number of buildings in Germany, in: Andreas Fink,
Berthold Lausen, Wilfried Seidel, Alfred Ultsch (eds.):
Advances in Data Analysis, Data Handling and Business Intelligence
(Proc. of the 32nd Annual Conference of the Gesellschaft für
Klassifikation e.V., July 16-18, 2008, Hamburg), pp. 311-318, Springer
Verlag, Berlin, 2009. http://www.springerlink.com/content/n307l744080488q6/
Behnisch, M., Ultsch,A.:
Are there cluster of communities with the same dynamic
behaviour?, in Hermann Locarek-Junge, Claus Weihs (eds.):
Classification as a Tool for Research. (Proc. of the 11th Bi-Annual
Conference of the International Federation of Classification Societies,
IFCS, Dresden University of Technology, March 13-18, 2009)
Behnisch, M., Ultsch, A.: Urban data mining:
spatiotemporal exploration of multidimensional data, In: Building
Research & Information, Vol. 37, Nr. 5-6, 2009.
http://www.informaworld.com/smpp/content~content=a914935599~db=all~jumptype=rss
Henker, U., Petersohn, U., Ultsch,A. :The Precise
and Efficient Identification of Medical Order Forms Using Shape Trees,
in Advances in Data Analysis, Data Handling and Business
Intelligence, Springer Studies in Classification, Data Analysis and
Knowledge Organization, Springer, pp 651-661, 2009.http://www.springerlink.com/content/v727133323686123/
Herrmann, L., Ultsch, A.:
Clustering with Swarm Algorithms Compared to Emergent SOM, In
Advances in Self-Organizing Maps, 7th International Workshop,
WSOM 2009, St. Augustine, Florida
Ohrndorf, P.:
Die Identifikation von Leewellen mit Hilfe von Flugwegaufzeichnungen am
Beispiel ausgewählter Segelflüge im Alpenraum
Ultsch, A.:
The U-Matrix as Visualization for Projections of high-dimensional
data, In Locarek-Junge, H. et al. (Eds.) Classification as a
Tool for Research, Proc. 11th IFCS Biennial Conference
Ultsch, A., Locarek-Junge, H.:
Knowledge Discovery in Stock Market Data, In Locarek-Junge, H. et
al. (Eds.) Classification as a Tool for Research, Proc. 11th IFCS
Biennial Conference
2008
Behnisch, M., Ultsch, A.: Estimating the
Number of Buildings in Germany, In C. Preisach et al. (Eds)., Data
Analysis, Machine Learning and Applications, Springer, p.
311-318
Henker, U., Petersohn, U., Ultsch, A.: The
precise and efficient identification of medical order forms using Shape
Trees, to appear in: Proceedings 32nd Annual Conference of the
German Classification Society (GfKl 2008), Hamburg, Germany
Herrmann, L., Ultsch, A.: Strengths and
Weaknesses of Ant Colony Clustering, to appear in: Proceedings 32nd
Annual Conference of the German Classification Society (GfKl
2008), Hamburg, Germany
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Herrmann, L., Ultsch, A.:
Explaining Ant-Based Clustering on the basis of Self-Organizing
Maps, Verleysen M. (Eds), In Proceedings of the European
Symposium on Artificial Neural Networks (ESANN 2008), Bruges,
Belgium (2008), pp. 215 - 220
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Herrmann, L., Ultsch, A.: The Architecture of Ant-Based Clustering to Improve
Topographic Mapping, Dorigo, M., Birattari, M., Blum, C.,
Clerc, M., Stützle, T., Winfield, A. (Eds.), In: Ant Colony
Optimization and Swarm Intelligence - Proceedings 6th Int.
Conf. (ANTS 2008), Brussels, Belgium (2008), Springer-Verlag
Berlin Heidelberg, pp. 379-386
Meyer, F., Ultsch, A.: Finding Music Fads by
clustering Online Radio Data whith Emergent Self Organizing Maps, to
appear in: Proceedings 32nd Annual Conference of the German
Classification Society (GfKl 2008), Hamburg, Germany
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Pallasch, C. P., Schulz, A., Kutsch, N., Schwamb, J., Hagist, S., Kashkar, H., Ultsch, A., Wickenhauser, C., Hallek, M., Wendtner, C.-M.:
Overexpression of TOSO in CLL is triggered
by B-cell receptor signaling and associated with progressive
disease, Blood. 2008 Aug. 15, 18708628
(P,S,E,B,D)
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Ultsch, A., Pallasch, C., Bergmann, E., Christiansen,
E.: A Comparison of Algorithms to find
Differentially Expressed Genes in Microarray Data, to appear in:
Proceedings 32nd Annual Conference of the German Classification
Society (GfKl 2008), Hamburg, Germany
Ultsch, A.: Is log ratio a good value
for measuring return in stock investments? , to appear
in: Proceedings 32nd Annual Conference of the German Classification
Society (GfKl 2008), Hamburg, Germany
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2007
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Herrmann, L., Ultsch, A.: An
Artificial Life Approach for Semi-Supervised Learning, In
Proceedings 31st Annual Conference of the German Classification
Society (GfKl 2007), Freiburg, Germany
Herrmann, L., Ultsch, A.: Label
Propagation for Semi-Supervised Learning in Self-Organizing Maps,
In Proceedings 6th Int. Workshop on Self-Organizing Maps (WSOM
'07), Bielefeld, Germany, ISBN: 978-3-00-022473-7
Kupas, K., Ultsch, A., Klebe, G.:Large scale analysis of protein-binding cavities
using self-organizing maps and wavelet-based surface patches to
describe functional properties, selectivity discrimination, and
putative cross-reactivity.
Proteins. 2007 Nov 27; : 18041748
(P,S,E,B,D)
Lehwark, P., Risi, S., and
Ultsch, A.: Visualization and clustering of tagged music data.
To appear in Proceedings 31st Annual Conference of the German
Classification Society (GfKl 2007), Freiburg, Germany
Proteins. 2007 Nov 27; : 18041748
(P,S,E,B,D)
Mörchen, F., Ultsch, A.: Efficient mining of understandable patterns from
multivariate interval time series, Data Mining and Knowledge
Discovery, Springer Netherlands, ISSN 1384-5810 (Print) 1573-756X
(Online)
Pallasch, C. P., Schwamb, J., Königs, S., Schulz, A., Debey, S., Kofler, D., Schultze, J. L., Hallek, M., Ultsch, A., Wendtner, C. M.:
Targeting lipid metabolism by the
lipoprotein lipase inhibitor orlistat results in apoptosis of B-cell
chronic lymphocytic leukemia cells. Leukemia. 2007
Dec 13; : 18079738 (P,S,E,B,D)
Risi, S., Mörchen, F., Ultsch, A., Lewark, P.: Visual mining in music collections with Emergent
SOM,
To appear in Proceedings Workshop on Self-Organizing Maps (WSOM
'07), Bielefeld, Germany, ISBN: 978-3-00-022473-7
Ultsch, A.: Emergence in Self-Organizing Feature Maps, In
Proceedings Workshop on Self-Organizing Maps (WSOM '07),
Bielefeld, Germany, ISBN: 978-3-00-022473-7
Ultsch, A.: Using
Information Retrieval Methods for a Comparison of Algorithms to find
differentially expressed Genes in Microarray Data, Technischer
Report, Fachbereich Mathematik und Informatik, Uni Marburg
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2006
Mörchen, F.: Time
Series Knowledge Mining, PhD Thesis, Philipps-University Marburg,
Germany, Görich & Weiershäuser, Marburg, Germany, (2006), pp. 180,
(ISBN 3-89703-670-3)
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Mörchen, F., Ultsch, A., Thies,
M., Löhken, I.: Modelling timbre distance with temporal statistics from
polyphonic music, IEEE Transactions on Speech and Audio
Processing 14(1)IEEE, (2006), pp. 81-90
Nöcker, M.,
Mörchen, F., Ultsch, A.: Fast
and reliable ESOM learning, M. Verleysen (Eds), In Proceedings
14th European Symposium on Artificial Neural Networks (ESANN'06),
Bruges, Belgium, (2006)
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Ultsch, A., Herrmann, L.: Automatic Clustering with U*C, Technical Report,
Dept. of Mathematics and Computer Science, Philipps-University of
Marburg
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Ultsch, A., Mörchen, F.: U-Maps: topographic visualization techniques for
projections of high dimensional data, In Proceedings 30th
Annual Conference of the German Classification Society (GfKl
2006), Berlin, Germany
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Ultsch, A.: Analysis and practical results of U*C clustering, In
Proceedings 30th Annual Conference of the German Classification
Society (GfKl 2006), Berlin, Germany
2005
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Mörchen, F., Ultsch, A.: Discovering Temporal Knowledge in Multivariate Time
Series, Weihs, C., Gaul, W. (Eds), In Classification; The
Ubiquitous Challenge, Proceedings 28th Annual Conference of the German
Classification Society (GfKl 2004), Dortmund, Germany, Springer,
Heidelberg, (2005), pp. 272-279
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Mörchen, F., Ultsch, A.:
Finding persisting states for knowledge discovery in
time series, In From Data and Information Analysis to Knowledge
Engineering - Proceedings 29th Annual Conference of the German
Classification Society (GfKl 2005), Magdeburg, Germany, Springer,
Heidelberg, (2005), pp. 278-285
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Mörchen, F., Ultsch,
A.: Optimizing Time Series Discretization for Knowledge
Discovery, Grossman, R.L., Bayardo, R., Bennet, K., Vaidya, J.
(Eds), In Proceedings The Eleventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, Chicago, IL,
USA, (2005), pp. 660-665
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Mörchen, F., Ultsch, A.,
Nöcker, M., Stamm, C.: Databionic visualization of music collections according
to perceptual distance, Joshua D. Reiss, Geraint A. Wiggins (Eds),
In Proceedings 6th International Conference on Music Information
Retrieval (ISMIR 2005), London, UK, (2005), pp. 396-403
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Mörchen, F., Ultsch, A., Nöcker,
M., Stamm, C.: Visual mining in music collections, In
Proceedings 29th Annual Conference of the German Classification
Society (GfKl 2005), Magdeburg, Germany, Springer, Heidelberg,
(2005), (to appear)
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Mörchen, F., Ultsch, A., Thies,
M., Löhken, I. and Nöcker, M., Stamm, C., Efthymiou, N., Kümmerer,
M.: MusicMiner: Visualizing timbre distances of music as
topographical maps, Technical Report No. 47, Dept. of Mathematics
and Computer Science, University of Marburg, Germany, (2005)
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Koch, O., Kupas, K., Ultsch, A.,
Klebe, G.: Involvement of turns in ligand binding: Using
Secbase to analyse secondary structure elements, Poster German
Conference on Bioinformatics (GCB 2005), (2005)
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Kupas, K., Ultsch, A.: Data Mining in Protein Binding Cavities, Weihs, C.,
Gaul, W. (Eds), In Classification - the Ubiquitous Challenge,
Proceedings 28th Annual Conference of the German Classification Society
(GfKl 2004), Dortmund, Germany, Springer, Heidelberg, (2005), pp.
354-361
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Ultsch, A.: Clustering with SOM: U*C, In Proceedings
Workshop on Self-Organizing Maps (WSOM 2005), Paris, France,
(2005), pp. 75-82
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Ultsch, A.: Density Estimation and Visualization for Data containing
Clusters of unknown Structure., Weihs, C., Gaul, W. (Eds), In
Classification; The Ubiquitous Challenge, Proceedings 28th Annual
Conference of the German Classification Society (GfKl 2004),
Dortmund, Germany, Springer, Heidelberg, (2005), pp. 232-239
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Ultsch, A.: Improving the identification of differentially expressed
genes in cDNA microarray experiments, Weihs, C., Gaul, W. (Eds), In
Classification; The Ubiquitous Challenge, Proceedings 28th Annual
Conference of the German Classification Society (GfKl 2004),
Dortmund, Germany, Springer, Heidelberg, (2005), pp. 378-385
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Ultsch, A.: U*C:
Self-organizied Clustering with Emergent Feature Map, In
Proceedings Lernen, Wissensentdeckung und Adaptivität (LWA/FGML
2005), Saarbrücken, Germany, (2005), pp. 240-246
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Ultsch, A., Herrmann,
L.: The
architecture of emergent self-organizing maps to reduce projection
errors, Verleysen M. (Eds), In Proceedings of the European
Symposium on Artificial Neural Networks (ESANN 2005), (2005), pp.
1-6
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Ultsch, A., Moutarde, F.: U*F
Clustering: a new performant Cluster-mining method based on
segmentation of Self-Organizing Maps, In Proceedings Workshop
on Self-Organizing Maps (WSOM 2005), Paris, France, (2005), pp.
25-32
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Ultsch, A., Mörchen, F.: ESOM-Maps: tools for clustering, visualization, and
classification with Emergent SOM, Technical Report No. 46, Dept. of
Mathematics and Computer Science, University of Marburg, Germany,
(2005)
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Ultsch, A., Mörchen, F.,
Efthymiou, N., Kümmerer, M., Löhken, I., Nöcker, M., Stamm, C., Thies,
M.: MusicMiner - Ein datenbionisches System zur Organisation
von Musiksammlungen, Kooperationspartner in Forschung und
Innovation Wiesbaden,
(2005)
2004
Hain, T., Ultsch,
A.,et. al.: MDEAT
- a new databionic evaluation and analysis tool to identify the
virulence regulon of Listeria monocytogenes as a model system, In
Proceedings European Conference on Prokaryotic Genomes,
Goettingen, (2003)
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Mörchen, F.: Analysis of speedup as function of block size and
cluster size for parallel feed-forward neural networks on a Beowulf
cluster, IEEE Transaction on Neural Networks 15(2)(2004),
pp. 515-527
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Mörchen, F., Ultsch, A.:
Mining Hierarchical Temporal Patterns in Multivariate
Time Series, Susanne Biundo, Thom W. Frühwirth, Günther Palm (Eds),
In KI 2004: Advances in Artificial Intelligence, Proceedings 27th
Annual German Conference in AI, Ulm, Germany, Springer,
Heidelberg, (2004), pp. 127-140
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Mörchen, F., Ultsch, A., Hoos,
O.: Discovering interpretable muscle activation patterns
with the Temporal Data Mining Method, Jean-Francois Boulicaut,
Floriana Esposito, Fosca Giannotti and Dino Pedreschi (Eds), In
Knowledge Discovery in Databases: Proceedings 8th European
Conference on Principles and Practice of Knowledge Discovery in
Databases (PKDD 2004), Pisa, Italy, Springer, (2004), pp.
512-514
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Kupas, K., Klebe, G., Ultsch,
A.: Comparison of substructural epitopes in enzyme active
sites using self-organizing maps, Journal of Computer-Aided
Molecular Design 18(2004), pp. 697-708
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Kupas, K., Klebe, G., Ultsch,
A.: An
algorithm for finding similarities in protein active sites, Matthew
He, Giri Narasimhan, Sergei Petoukhov (Eds), In Advances in
Bioinformatics and its Applications, Proceedings of the International
Conference, Nova Southeastern University, Fort Lauderdale, Florida,
USA, World Scientific, (2004), pp. 373-380
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Ultsch, A.: Strategies for an Artificial Life System to cluster high
dimensional Data, Ulrike Brüggemann, Harald Schaub, Frank Detje
(Eds), In Abstracting and Synthesizing the Principles of Living
Systems, GWAL-6, Bamberg, (2004), pp. 128-137
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| Ultsch, A., Kämpf, D.: Knowledge Discovery in DNA Microarray Data of Cancer
Patients with Emergent Self Organizing Maps, In Proceedings of
the European Symposium on Artificial Neural Networks (ESANN 2004),
(2004), pp. 501-506 |
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2003
| Mörchen, F.: Time
series feature extraction for data mining using DWT and DFT,
Technical Report No. 33, Dept. of Mathematics and Computer Science,
University of Marburg, Germany, (2003) |
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Ultsch, A.: Maps for the Visualization of high-dimensional Data
Spaces, In Proceedings Workshop on Self-Organizing Maps (WSOM
2003), Kyushu, Japan, (2003), pp. 225-230
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Ultsch, A.:
Pareto Density Estimation: A Density Estimation for
Knowledge Discovery, Baier D., Wernecke K.D. (Eds), In
Innovations in Classification, Data Science, and Information
Systems - Proceedings 27th Annual Conference of the German
Classification Society (GfKL) 2003, Berlin, Heidelberg, Springer,
(2003), pp. 91-100
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Ultsch, A.: Is log ratio a good value for identifying differential
expressed genes in microarray experiments?, Technical Report No.
35, Dept. of Mathematics and Computer Science, University of Marburg,
Germany, (2003)
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Ultsch, A.: Optimal Density Estimation in Data containing Clusters
of unknown Structure, Technical Report No. 34, Dept. of Mathematics
and Computer Science, University of Marburg, Germany, (2003)
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Ultsch, A.: U*-Matrix: a Tool to visualize Clusters in high
dimensional Data, Technical Report No. 36, Dept. of Mathematics and
Computer Science, University of Marburg, Germany, (2003)
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Ultsch, A., Mörchen,
F.: Datenbionik, Kooperationspartner in Forschung und
InnovationWiesbaden, (2003), pp. 25-26
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2002
Ultsch, A.: Emergent Self-Organizing Feature Maps used for
Prediction and Prevention in Mobile Phone Markets, Jornal of
Targeting 10/4, Steward, London (2002), pp. 401-425
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Ultsch, A.: Data Mining as an Application for Artificial Life,
Polani, D. et al. (Eds), In Abstracting and Synthesizing the
Principles of Living Systems, GWAL-5, Lübeck, (2002), pp.
191-199
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Ultsch, A.: Proof
of Pareto's 80/20 Law and Precise Limits for ABC-Analysis,
Technical Report No. 02/c, Databionics Research Group, University of
Marburg, Germany, (2002)
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Ultsch, A., Eilers, M.: DNA Microarrays von Tumoren diagnostiziert mit
datenbionischen Methoden, Kooperationspartner in Forschung und
Innovation, Wiesbaden, (2002), pp. 19-20
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Ultsch, A., Röske, F.: Self-Organizing Feature Maps Prediciting Sea Levels,
Information Sciences 144/Elsevier, pp 91 - 125, Amsterdam, (2002), pp.
1-4
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2001
Guimaraes, G., Peter, J.,
Penzel, T., Ultsch, A.: A
method for automated temporal knowledge acquisition applied to
sleep-related breathing disorders, In Artificial Intelligence
in Medicine 23, Amsterdam, (2001), pp. 211-237
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Ultsch: Fundamentale Aktienanalyse mit selbstorganisierenden
Dataminingmethoden, Kooperationspartner in Forschung und
Innovation, Wiesbaden, (2001), pp. 25-26
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Ultsch, A.: Eine
Begründung der Pareto 80/20 Regel und Grenzwerte für die ABC
Analyse, Technical Report No. 30, Dept. of Mathematics and Computer
Science, University of Marburg, Germany, (2001)
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Ultsch, A., Rolf, S.: The
Completion of Missing Values by Neural Nets for Data Mining,
Classification, Automation and New Media, SpringerBerlin, (2001), pp.
227-234
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Ultsch, DataBots: Data Mining as an Application for Autonomous
Minirobots, In Proceedings 1st International Conference on
Autonomous Minirobots for Research and Edutainment - AMiRE,
Paderborn, (2001), pp. 59 - 73
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2000
Deboeck, G. J., Ultsch,
A.: Picking Stocks with Emergent Self-Organizing Value
Maps, Neural Networks World, Vol 10, Inst. Computer Science,Prague,
(2000), pp. 203-216
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Ultsch, A.: A
Neural Network to Compare Highdimensional Data with Skewed and Unknown
Distributions, In Proceedings 24. Jahrestagung, Gesellschaft
für Klassifikation, Universität Passau, (2000)
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Ultsch, A.: An
Artificial Life Approach to DataMining, In Proceedings European
Meeting of Cyberntics and Systems Research EMCSR, Wien,
(2000)
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Ultsch, A.: Clustering with DataBots, In Proceedings Int.
Conf. Advances in Intelligent Systems Theory and Applications, AISTA,
Canberra, (2000)
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Ultsch, A.: The
Neuronal Data Mine, In Proceedings 2nd Int. ICSC Symposium on
Neural Computation NC, Berlin., (2000)
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Ultsch, A.: Visualization and Classification with Artificial
Life, In Proceedings Conf. Int. Fed. of Classification
Societies ifcs, Namur, Belgium., (2000), pp. 11-14
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Ultsch, A.: Neural Networks Learning Relative Distances,
IJCNNInternational Joint Conference on Neural Networks, Como,
(2000)
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Ultsch, A., Rolf, S.: The
Completion of Missing Values by Neural Nets for Data Mining, In
Proceedings 24. Jahrestagung, Gesellschaft für Klassifikation ,
Universität Passau, (2000)
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1999
Gabriela Guimaraes, Alfred
Ultsch: A
method for temporal knowledge conversion, Hand, D.J., Kok, J.N.,
Berthold, M.R. (Eds), In Advances in Intelligent Data Analysis,
Proceedings of the 3rd Int. Symp., Amsterdam, The Netherlands,
Sprigner, Berlin, (1999), pp. 369-380
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Ultsch, A.: Data Mining and Knowledge Discovery with Emergent
Self-Organizing Feature Maps for Multivariate Time Series, Kohonen
Maps, (1999), pp. 33-46
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Ultsch, A.: Clustering with DataBots, Technical Report No. 19,
Dept. of Mathematics and Computer Science, University of Marburg,
Germany, (1999)
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1998
Kleine, T. O., Ultsch A.::
Neuronal unterstützte Expertensysteme zur Liquoranalytik,
Informatik, Biometrie und Epidemiologie in Medizin und Biologie, Vol.
29. München, (1998), pp. 12-21
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Ultsch, A.: The
Integration of Connectionist Models with Knowledge-based Systems:
Hybrid Systems, In In Proceedings of the IEEE SMC 98
International Conference, 11. - 14. Oktober, San Diego, (1998),
pp. 1530-1535
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Ultsch, A.: Hybride
Systeme: Der Einsatz von wissensverarbeitenden Systemen,
Tagungsband der CoWAN 98 (Cottbusser Workshop Aspekte Neuronalen
Lernens), 05. - 07. 11. 98 Cottbus/Germany, Shaker Verlag, (1998), pp.
221-229
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1997
Ultsch, A., Kleine, T.O., Korus,
D., Farsch, S., Guimaraes, G., Pietzuch, W., Simon, J.::
Evaluation of Automatic and Manual Knowledge Acquisition for
Cerebrospinal Fluid (CSF) Diagnosis, Lecture Notes in Artificial
Intelligence in Medicine, AIME'97, Grenoble, 23.-26. März 1997,
Springer, (1997)
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1996
Guimaraes, G., Ultsch,
A.: A Symbolic Representation for Patterns in Time Series
using Definitive Clause Grammar, 20th Annual Conference of
Gesellschaft für Klassifikation, Freiburg, (1996)
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Ultsch, A.: Hybride
Systeme - der Einsatz von Konnektionistischen Modellen in
wissensverarbeitenden Systemen, HeKoNN'96, 2.-6. Oktober, Münster,
(1996)
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Ultsch, A.: Self
Organizing Neural Networks perform different from statistical k-means
clustering, BMBF Statusseminar Künstliche Intelligenz,
Neuroinformatik und Intelligente Systeme, 17. - 19. April, München,
(1996), pp. 433-443
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Ultsch, A., Guimaraes,
G.: Classification and Prediction of Hail using
Self-Organizing Neuronal Networks, International Conference on
Neural Networks (ICNN), Washington DC, USA, 3.-6. Juni 1996,
(1996)
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1995
Bateson, A. N., Ultsch, A., Darlison, M. G.:
Isolation and sequence analysis of the
chicken GABAA receptor alpha 1-subunit gene promoter.
Gene. 1995 Feb 14;153 (2):243-7 7875596 (P,S,E,B)
| Ultsch, A, Korus, D., Guimaraes,
G., Li, H.: Integration von Neuronalen Netzen mit wissensbasierten
Systemen, Reihe Mathematik M-01/, (1995), pp. 144-153 |
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Ultsch, A, Korus, D., Kleine, T.
O.: Integration of Neural Networks and Knowledge-Based
Systems in Medicine, Barahona, P., Stefanelli, M., Wyatt, J.:
Artificial Intelligence in Medicine, Lecture Notes in Artificial
Intelligence 934, Springer, (1995), pp. 425-426
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Ultsch, A.: Automatic Acquisition of Symbolic Knowledge from
Subsymbolic Neural Networks, FORWISS Report, KI-Workshop
Informationsfilterung, Erlangen, München, Passau, (1995)
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Ultsch, A.: Self
Organizing Neural Networks perform different from statistical k-means
clustering, Gesellschaft für Klassifikation, Basel, (1995)
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Ultsch, A., Farsch, S., Li,
H.: Automatic Acquistion of Medical Knowledge from Data sets
with Neural Networks, In Proceedings KI'95, Bielefeld/Germany,
Advances in Artificial Ingelligence, Springer, (1995), pp.
258-260
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Ultsch, A., Korus, D.: Integration of Neural Networks and Expert Systems in
Medicine, Europ. Journal of Clinical Chemistry and Clinical
Biochemistry 33(4)(1995), pp. A41-A42
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Ultsch, A., Korus, D.: Automatic Acquisition of Symbolic Knowledge from
Subsymbolic Neural Networks, In Proceedings 3rd Europ. Congress
on Intelligent Techniques and Soft Computing EUFIT'95, Aachen/Germany,
AugVol. I, pp. 326-331., (1995), pp.
28-31 |
Ultsch, A., Korus, D.: Erwerb von Fuzzy-Wissen aus Selbstorganisierenden
Neuronalen Netzen, In Proceedings 3. Workshop
Fuzzy-Neuro-Systeme'95, Darmstadt/Germany, Novpp. 325-332.,
(1995), pp. 15-17
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Ultsch, A., Korus, D.:
Integration of Neural Networks with Knowledge-Based
Systems, In Proceedings IEEE-ICNN'95, Perth/Australia,
Nov./Dec, (1995)
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Ultsch, A., Korus, D., Kleine,
T. O.: Neural Networks in Biochemical Analysis, Europ.
Journal of Clinical Chemistry and Clinical Biochemistry
33(4)(1995), pp. A144-A145
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Ultsch, A., Korus, D., Kleine, T.
O.: Integration of Neural Networks and Knowledge Based
Systems in Medicine, In Proceedings Compana'95,
Würzburg/Germany, Octto be publ. in a special vol. of Chemometrics and
Intelligent Laboratory Systems, Elsevier Science., (1995), pp.
4-6
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Ultsch, A., Korus, D., Wehrmann,
A.: Neural Networks and their Rules for Classification in
Marine Geology, In Raum und Zeit in Umweltinformationssystemen,
Bd. 7; Proceedings 9th Intl. Symp. Comp. Sci. for Environmental
Protection CSEP'95, Berlin, Sept, Vol. I, Metropolis-Verlag,
(1995), pp. 676-693
|
Ultsch,A.: Neuronale
Netze zur Interpretation von Daten, alma mater Philippina,
Marburger Universitätsbund, (1995), pp. 16-19
|
1994
| Palm, G., Ultsch, A., Goser, K.,
Rückert, U.: Knowledge Processing in Neural
Architecture, VLSI for Neural Networks and Artificial
Intelligence, New York, (1994), pp. 207-216 |
| Schweizer, M., Fohn, P. M. B.,
Schweizer, J., Ultsch, A.: A hybrid expert system for
avalanche forecasting, In Paper presented at the Information
and Communications Technologies in Tourism. Proceedings of the
International Conference., Innsbruck, Austria, (1994) |
| Ultsch, A.:
Einsatzmöglichkeiten von Neuronalen Netzen im Umweltbereich,
Umweltinformatik HdI 13.3, ISDN227238, Oldenbourg Verlag München 1994,
(1994), pp. 201-226 |
| Ultsch, A.: The
Integration of Neural Networks with Symbolic Knowledge Processing,
Diday et al.: New Approaches in Classification and Data Analysis,
Springer Verlag, (1994), pp. 445-454 |
| Ultsch, A., Guimaraes, G., Halmans,
G.: Self
Organizing Neural Networks and hailstorm prediction, Gesellschaft
für Klassifikation e.V., Oldenburg, März, (1994) |
| Ultsch, A., Guimaraes, G., Weber,
V.: Self
Organizing Feature Maps for Logical Unification, In Proceedings
of WCES, Lisboa, Januar, (1994) |
| Ultsch, A., Vetter C.: Selforganizing Feature Maps versus Statistical
Clustering: A Benchmark, Technical Report No. 9, Dept. of
Mathematics and Computer Science, University of Marburg, Germany,
(1994) |
1993
| Palm, G., Ultsch, A., Goser, K.,
Rückert, U.: Knowledge Processing in Neural
Architecture, VLSI for Neural Networks and Artificial
Intelligence, Plenum Publ., New York, (1993) |
| Schuster, C. M., Ultsch, A., Schmitt, B., Betz, H.: Molecular analysis of Drosophila glutamate
receptors. EXS. 1993 ;63 :234-40 7678526 (P,S,E,B) |
| Betz, H., Schuster, C., Ultsch, A., Schmitt,B.:
Molecular biology of ionotropic glutamate
receptors in Drosophila melanogaster.
Trends Pharmacol Sci.
1993 Dec ;14 (12):428-31 8122317 (P,S,E,B)
|
| Ultsch, A., Schuster, C. M., Laube, B., Betz, H., Schmitt, B.:
Glutamate receptors of Drosophila
melanogaster. Primary structure of a putative NMDA receptor protein
expressed in the head of the adult fly.
FEBS Lett. 1993 Jun
14;324 (2):171-7 8508917 (P,S,E,B) Cited:2
|
| Ultsch, A.: Self-Organized Feature Maps for Monitoring and Knowledge
Acquisition of a Chemical Process, In Proceedings Intl. Conf.
on Artificial Neural Networks (ICANN), Amsterdam,
SepSpringer-Verlag, (1993), pp. 864-867 |
| Ultsch, A.: The
Integration of Neural Networks with Symbolic Knowledge Processing,
In Proceedings Conference of the International Federation of
Classification Societies (IFCS-93) in Paris, September,
(1993) |
| Ultsch, A.: Knowledge Extraction from Self-organizing Neural
Networks, Information and Classification, Berlin, Springer Verlag,
(1993), pp. 301-306 |
| Ultsch, A.:
Self-organizing Neural Networks for Visualization and
Classification, Information and Classification, Berlin,
Springer-Verlag, (1993), pp. 307-313 |
| Ultsch, A., Guimaraes, G., Korus,
D., Li, H.: Knowledge Extraction from Artificial Neural Networks and
Applications, Transputer-Anwender-Treffen /
World-Transputer-Congress, September 1993, Aachen, Tagungsband
TAT/WTC'93, Springer Verlag, (1993), pp. 194-203 |
| Ultsch, A., Li, H.: Automatic Acquisition of Symbolic Knowledge from
Subsymbolic Neural Networks, In Proceedings of International
Conference on Signal Processing (ICSP'93), Peking, Vol II, (1993),
pp. 1201-1204 |
| Ultsch, A., Mantyk, R.,
Halmans, G.: A connectionist knowledge acquisition tool
CONKAT, Artificial Intelligence Frontiers in Statistics, Chapman
& Hall, (1993), pp. 256-263 |
1992
| Ultsch, A.: Knowledge
Acquisition with Self-Organizing Neural Networks, Alexsander, I.,
Taylor, J. (Eds), In Artificial Neural Networks, Proceedings ICANN,
Brighton U.K., September, (1992), pp. 735-740 |
| Ultsch, A.:
Self-Organizing Neural Networks for Knowledge Acquisition, In
Proc ECAI, Wien, (1992), pp. 208-210 |
| Ultsch, A.:
Self-Organizing Neural Networks for Visualization and
Classification, In Proceedings Conf. Soc. for Information and
Classification, Dortmund, April, (1992) |
| Ultsch, A., Guimaraes,
G., Korus, D., Li, H.:: Selbstorganisierende Neuronale Netze auf
Transputern, In Proceedings TAT 92, Transputer Anwender
Treffen, Aachen, Springer, (1992) |
| Ultsch, A., Siemon, H.P.:
Kohonen Neural Networks for Exploratory Data Analysis, In
Proceedings Conf. Soc. for Information and Classification,
Dortmund, April, (1992) |
1991
| Ultsch, A.: The
Integration of Neuronal Networks with Expert Systems, In
Proceedings Workshop on Industrial Applications of Neural Networks,
Ascona, Vol. III, September, (1991), pp. 3-7 |
| Ultsch, A.:
Konnektionistische Modelle und ihre Integration mit
wissensbasierten Systemen, Forschungsbericht Nr. 396, Institut für
Informatik, Universität Dortmund, Februar,
DortmundHabilitationsschrift., (1991) |
| Ultsch, A., Halmans, G.:
Data
Normalization with Self-Organizing Feature Maps, In
Proceedings Intl. Joint Conf. Neural Networks, Seattle, WA, July,
Vol. I, (1991), pp. 403-407 |
| Ultsch, A., Halmans,
G.: Die Transformation experimenteller Verteilungen durch
eine Self-Organizing Feature Map, Ziegler, H. (Eds), In
Konnektionismus: Beiträge aus Theorie und Praxis, Proceedings
ÖGAI, Wien, (1991), pp. 32-40 |
| Ultsch, A., Halmans, G.:
Neuronale Netze zur Unterstützung der Umweltforschung, Symp.
Computer Science for Environmental Protection, Munich, Informatik
Fachberichte 296, Springer, Dezember, (1991) |
| Ultsch, A., Halmans, G.,
Mantyk, R.: A Connectionist Knowledge Acquisition Tool:
CONKAT, In Proceedings International Workshop on Artificial
Intelligence and Statistics, JanuaryFt. Lauderdale,FL, (1991), pp.
2-5 |
| Ultsch, A., Halmans, G., Mantyk,
R.: CONKAT: A Connectionist Knowledge Acquisition
Tool, In Proceedings IEEE International Conference on System
Sciences, JanuaryHawaiiVol. 1, pp. 507 - 513., (1991), pp.
9-11 |
| Ultsch, A., Halmans, G.,
Schulz, K.: Die Transformation experimenteller Verteilungen
durch eine Self-Organizing Feature Map, Mustererkennung, 13.
DAGM Symposium, (1991), pp. 207-214 |
| Ultsch, A., Hannuschka, R.,
Hartmann, U., Mandischer, M., Weber, V.: Control of
Prolog-Proofs using Connectionist Networks, In Proceedings
Conf. Information Systems Architecture and Technologies ISAT,
Wroclaw, (1991), pp. 175-183 |
| Ultsch, A., Hannuschka, R.,
Hartmann, U., Mandischer, M., Weber, V.: Optimizing Logical Proofs with Connectionist
Networks, In Proceedings Intl. Conf. Artificial Neural
Networks, Vol. I, Helsinki, June, (1991), pp. 585-590 |
| Ultsch, A., Höffgen, K.-U.,
P.G. ForT2: Automatische Wissensakquisition für
Fuzzy-Expertensysteme aus selbstorganisierenden, neuronalen
Netzen, Forschungsbericht Nr. 404, Fachbereich Informatik,
Universität Dortmund, OktoberISSN, (1991), pp. 0933-6192 |
| Ultsch, A., Höffgen, K.-U., Siemon,
H. P.: Genetic Improvements of Feedforward Nets for
Approximating Functions, Parallel Problem Solving from Nature,
Springer, Berlin, (1991), pp. 294-299 |
| Ultsch, A., Palm, G.,
Rückert, U.: Wissensverarbeitung in neuronaler Architektur,
Verteilte künstliche Intelligenz und kooperatives Arbeiten,
GI-Kongress, München, (1991), pp. 508-518 |
| Ultsch, A., Panda, PG.:
Die
Kopplung konnektionistischer Modelle mit wissensbasierten
Systemen, Dortmunder Expertensystemtage 91, TÜV Rheinland,
Köln, (1991), pp. 74-94 |
1990
| Becks, K.H, Cremers, A.B., Hemker,
A., Ultsch, A.: Parallel Process Interfaces to Knowledge
Systems, Eckmiller, R., Hartmann, G., Hauske, G. (Eds), In
Proceedings Conf. on Parallel Processing in Neural Systems and
Computers, Elsevier, North-Holland, Proceedings ICNC, Düsseldorf,
(1990), pp. 465-470 |
Ultsch, A., Bateson, A. N., Darlison, M. G.:
Isolation and characterization of the 5'
end of the chicken gamma-aminobutyric acidA receptor alpha 1-subunit
gene.
Biochem Soc Trans.
1990 Jun ;18 (3):437-8 2164987 (P,S,E,B)
|
| Hellingrath, B., Joemann, J.,
Reichwein, G., Ultsch, A.: Radikaler
Konstruktivismus, Forschungsbericht Nr. 288, Institut für
Informatik, Universität Dortmund, Dezember, (1990) |
| Höffgen, K.-U., Siemon, H. P.,
Ultsch, A.: Genetic Improvements of Feedforward Nets for
Approximating Functions, In Proceedings Intl. Workshop on
Parallel Problem Solving from Nature, Dortmund, Oktober,
(1990) |
| Siemon, H.P., Ultsch,A.:
Kohonen Networks on Transputers: Implementation and Animation,
In Proceedings Intern. Neural Networks, Kluwer Academic Press,
Paris, (1990), pp. 643-646 |
| Ultsch, A.:
Integrating Control Knowledge in Intelligent Information Retrieval
Systems, In Proceedings Int. Workshop Integrierte,
intelligente Informationssysteme, 24. - 27. September, Pila,
Polen, (1990), pp. 325-335 |
| Ultsch, A.: Kopplung
deklarativer und konnektionistischer Wissensrepräsentation,
Endbericht der Projektgruppe PANDA, Forschungsbericht Nr. 352, Institut
für Informatik, Universität Dortmund, April, (1990) |
| Ultsch, A., Hannuschka, R.,
Hartmann, U., Mandischer,M., Weber, V.: Connectionist Represented Control Knowledge for
Prolog, In Proceedings Neuro Nimes, (1990), pp.
559-563 |
| Ultsch, A., Hannuschka, R.,
Hartmann, U., Weber, V.: Learning of Control Knowledge for
Symbolic Proofs with Backpropagation Networks, Eckmiller, R.,
Hartmann, G., Hauske, G. (Eds), In Proceedings Conf. on Parallel
Processing in Neural Systems and Computers, Elsevier, North-Holland,
Proceedings ICNC, Düsseldorf, (1990), pp. 499-502 |
| Ultsch, A., Siemon, H.P.:
Kohonen's Self Organizing Feature Maps for
Exploratory Data Analysis, In Proceedings Intern. Neural Networks, Kluwer Academic
Press, Paris, (1990), pp. 305-308 |
1989
| Ultsch, A.:
Konnektionistische Modelle der künstlichen Intelligenz,
Skriptum zur Vorlesung, Universität Dortmund, (1989) |
| Ultsch, A.: Prolog And
Neural Distributed Architectures, Technischer Bericht, Universität
Dortmund, (1989) |
| Ultsch, A., Cremers,
A.B.: Neurocomputing - Foundations of Research,
Seminarbericht, Universität Dortmund, Dezember, (1989) |
| Ultsch, A., Siemon,
H.P.: Exploratory Data Analysis: Using Kohonen Networks on
Transputers, Forschungsbericht Nr. 329, Universität Dortmund,
Dezember, (1989) |
1988
| Ultsch, A.:
Maschinelles Lernen, Skriptum, KI FS, TH Zürich, (1988) |
1987
| Appelrath, H.-J., Ester, M.,
Jasper, H., Ultsch, A.: Das Projekt KOFIS, Bericht
Nr. 72, Inst. f. Informatik, ETH Zürich, (1987) |
| Appelrath, H.-J., Ester, M.,
Jasper, H., Ultsch, A.: KOFIS: ein Expertensystem zur
integrierten Dokumenten- und Wissensverwaltung, Expertensysteme
'87 Konzepte und Werkzeuge, Teubner, Stuttgart, (1987) |
| Kiener, M., Ultsch, A.:
An Abstract Machine for Modula-2 Programs, Bericht Nr. 73,
Inst. f. Informatik, ETH Zürich, (1987) |
| Ultsch, A.:
Information Retrieval with a Knowledge-based System, In
Proceedings Intl. Conf. SEUGI, (1987), pp. 222-231 |
| Ultsch, A.: Control for
Knowledge-based Information Retrieval, Verlag der Fachvereine,
Zürich, (1987) |
| Ultsch, A.: Die
deklarative Programmierung mit Prolog, Output, 16 (8), Goldach
Verlag, (1987), pp. 33-39 |
| Ultsch, A.: Eine
Einführung in die deklarative Programmierung mit Prolog,
Künstliche Intelligenz und Expertensysteme, Herbert Lang und Cie, Bern,
(1987), pp. 89-102 |
1986
| Appelrath, H.-J., Ester, M.,
Jasper, H., Ultsch, A.: KOFIS: An Expert System for
Information Retrieval in Offices, The Application of
Microcomputers in Information, Documentation and Libraries, Elsevier
North Holland, (1986) |
| Appelrath, H.-J., Ester, M.,
Ultsch, A.: Knowledge-based Retrieval in an Office,
Artificial Intelligence in Economics and Management, North Holland,
(1986), pp. 269-275 |
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