Alfred Ultsch

Fabian Moerchen, Michael Thies, Alfred Ultsch: Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression. Knowl. Inf. Syst. 29(1): 55-80 (2011)

Alfred Ultsch, Lutz Herrmann: Self Organized Swarms for cluster preserving Projections of high-dimensional Data. ECEASST 27 (2010)

Martin Behnisch, Alfred Ultsch: Clustering Temporal Population Patterns in Switzerland (1850-2000). GfKl 2010: 163-171

Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch (Eds.): Advances in Data Analysis, Data Handling and Business Intelligence - Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008. Studies in Classification, Data Analysis, and Knowledge Organization, Springer 2010, isbn 978-3-642-01043-9

Lutz Herrmann, Alfred Ultsch: Clustering with Swarm Algorithms Compared to Emergent SOM. WSOM 2009: 80-88

Lutz Herrmann, Alfred Ultsch: The Architecture of Ant-Based Clustering to Improve Topographic Mapping. ANTS Conference 2008: 379-386

Lutz Herrmann, Alfred Ultsch: Explaining Ant-Based Clustering on the basis of Self-Organizing Maps. ESANN 2008: 215-220

Lutz Herrmann, Alfred Ultsch: Strengths and Weaknesses of Ant Colony Clustering. GfKl 2008: 147-156

Florian Meyer, Alfred Ultsch: Finding Music Fads by Clustering Online Radio Data with Emergent Self Organizing Maps. GfKl 2008: 419-427

Alfred Ultsch: Is Log Ratio a Good Value for Measuring Return in Stock Investments? GfKl 2008: 505-511

Martin Behnisch, Alfred Ultsch: Estimating the Number of Buildings in Germany. GfKl 2008: 585-593

Uwe Henker, Uwe Petersohn, Alfred Ultsch: The Precise and Efficient Identification of Medical Order Forms Using Shape Trees. GfKl 2008: 651-661

Alfred Ultsch, Christian Pallasch, Eckhard Bergmann, Holger Christiansen: A Comparison of Algorithms to Find Differentially Expressed Genes in Microarray Data. GfKl 2008: 685-697

Fabian Mörchen, Alfred Ultsch: Efficient mining of understandable patterns from multivariate interval time series. Data Min. Knowl. Discov. 15(2): 181-215 (2007)

Lutz Herrmann, Alfred Ultsch: An Artificial Life Approach for Semi-supervised Learning. GfKl 2007: 139-146

Martin Behnisch, Alfred Ultsch: Urban Data Mining Using Emergent SOM. GfKl 2007: 311-318

Pascal Lehwark, Sebastian Risi, Alfred Ultsch: Visualization and Clustering of Tagged Music Data. GfKl 2007: 673-680

Alfred Ultsch: U^*C: Distance and Density Clustering based on Grid Projections. LWA 2007: 81-86

Fabian Mörchen, Alfred Ultsch, Michael Thies, Ingo Lohken: Modeling timbre distance with temporal statistics from polyphonic music. IEEE Transactions on Audio, Speech & Language Processing 14(1): 81-90 (2006)

Mario Nöcker, Fabian Mörchen, Alfred Ultsch: An algorithm for fast and reliable ESOM learning. ESANN 2006: 131-136

Nguyen-Xuan Thinh, Martin Behnisch, Alfred Ultsch: Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities. GfKl 2006: 289-296

Fabian Mörchen, Ingo Mierswa, Alfred Ultsch: Understandable models Of music collections based on exhaustive feature generation with temporal statistics. KDD 2006: 882-891

Fabian Mörchen, Alfred Ultsch, Olaf Hoos: Extracting interpretable muscle activation patterns with time series knowledge mining. KES Journal 9(3): 197-208 (2005)

Alfred Ultsch, Lutz Herrmann: The architecture of emergent self-organizing maps to reduce projection errors. ESANN 2005: 1-6

Fabian Mörchen, Alfred Ultsch: Finding Persisting States for Knowledge Discovery in Time Series. GfKl 2005: 278-285

David Kämpf, Alfred Ultsch: An Overview of Artificial Life Approaches for Clustering. GfKl 2005: 486-493

Alfred Ultsch: UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data. GfKl 2005: 678-683

Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm: Visual Mining in Music Collections. GfKl 2005: 724-731

Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm: Databionic Visualization of Music Collections According to Perceptual Distance. ISMIR 2005: 396-403

Fabian Mörchen, Alfred Ultsch: Optimizing time series discretization for knowledge discovery. KDD 2005: 660-665

Alfred Ultsch: U*C: Self-organized Clustering with Emergent Feature Maps. LWA 2005: 240-244

Alfred Ultsch, David Kämpf: Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps. ESANN 2004: 501-506

Alfred Ultsch: Density Estimation and Visualization for Data Containing Clusters of Unknown Structure. GfKl 2004: 232-239

Fabian Mörchen, Alfred Ultsch: Discovering Temporal Knowledge in Multivariate Time Series. GfKl 2004: 272-279

Katrin Kupas, Alfred Ultsch: Data Mining in Protein Binding Cavities. GfKl 2004: 354-361

Alfred Ultsch: Improving the Identification of Differentially Expressed Genes in cDNA Microarray Experiments. GfKl 2004: 378-385

Fabian Mörchen, Alfred Ultsch: Mining Hierarchical Temporal Patterns in Multivariate Time Series. KI 2004: 127-140

Fabian Mörchen, Alfred Ultsch, Olaf Hoos: Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. PKDD 2004: 512-514

Alfred Ultsch, Frank Röske: Self-organizing feature maps predicting sea levels. Inf. Sci. 144(1-4): 91-125 (2002)

Gabriela Guimarães, Jörg-Hermann Peter, Thomas Penzel, Alfred Ultsch: A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders. Artificial Intelligence in Medicine 23(3): 211-237 (2001)

Alfred Ultsch: A Neural Network Learning Relative Distances. IJCNN (5) 2000: 553-558

Gabriela Guimarães, Alfred Ultsch: A Method for Temporal Knowledge Conversion. IDA 1999: 369-382

Alfred Ultsch, T. O. Kleine, Dieter Korus, S. Farsch, Gabriela Guimarães, W. Pietzuch, J. Simon: Evaluation of Automatic and Manual Knowledge Acquisition for Cerebrospinal Fluid (CSF) Diagnosis. AIME 1997: 110-121

Alfred Ultsch, Dieter Korus, T. O. Kleine: Integration of Neural Networks and Knowledge-Based Systems in Medicine. AIME 1995: 425-426

Alfred Ultsch: Knowledge Acquisition with Self-Organizing Neural Networks. ECAI 1992: 208-210

Alfred Ultsch, Gabriela Guimarães, Dieter Korus, Heng Li: Selbstorganisierende Neuronale Netze auf Transputern. Transputer-Anwender-Treffen 1992: 194-203

Alfred Ultsch, Günter Halmans, Kira Schulz: Die Transformation experimenteller Verteilungen durch eine Self-Organizing Feature Map. DAGM-Symposium 1991: 207-214

Alfred Ultsch, H. Peter Siemon, Günter Halmans: Neuronale Netze zur Unterstützung der Umweltforschung. Informatik für den Umweltschutz 1991: 296-302

Günther Palm, Ulrich Rückert, Alfred Ultsch: Wissensverarbeitung in neuronaler Architektur. Wissensbasierte Systeme 1991: 508-518

Klaus-Uwe Höffgen, H. Peter Siemon, Alfred Ultsch: Genetic Improvements of Feedforward Nets for Approximating Functions. PPSN 1990: 302-306

Hans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch: KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung. Expertensysteme 1987: 1-18