 | 2009 |
| 41 |  | Lutz Herrmann,
Alfred Ultsch:
Clustering with Swarm Algorithms Compared to Emergent SOM.
WSOM 2009: 80-88 |
| 2008 |
| 40 |  | Lutz Herrmann,
Alfred Ultsch:
The Architecture of Ant-Based Clustering to Improve Topographic Mapping.
ANTS Conference 2008: 379-386 |
| 39 |  | Lutz Herrmann,
Alfred Ultsch:
Explaining Ant-Based Clustering on the basis of Self-Organizing Maps.
ESANN 2008: 215-220 |
| 2007 |
| 38 |  | Lutz Herrmann,
Alfred Ultsch:
An Artificial Life Approach for Semi-supervised Learning.
GfKl 2007: 139-146 |
| 37 |  | Martin Behnisch,
Alfred Ultsch:
Urban Data Mining Using Emergent SOM.
GfKl 2007: 311-318 |
| 36 |  | Pascal Lehwark,
Sebastian Risi,
Alfred Ultsch:
Visualization and Clustering of Tagged Music Data.
GfKl 2007: 673-680 |
| 35 |  | Alfred Ultsch:
U*C: Distance and Density Clustering based on Grid Projections.
LWA 2007: 81-86 |
| 34 |  | Fabian Mörchen,
Alfred Ultsch:
Efficient mining of understandable patterns from multivariate interval time series.
Data Min. Knowl. Discov. 15(2): 181-215 (2007) |
| 2006 |
| 33 |  | Mario Nöcker,
Fabian Mörchen,
Alfred Ultsch:
An algorithm for fast and reliable ESOM learning.
ESANN 2006: 131-136 |
| 32 |  | Nguyen 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 |
| 31 |  | Fabian Mörchen,
Ingo Mierswa,
Alfred Ultsch:
Understandable models Of music collections based on exhaustive feature generation with temporal statistics.
KDD 2006: 882-891 |
| 30 |  | 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) |
| 2005 |
| 29 |  | Alfred Ultsch,
Lutz Herrmann:
The architecture of emergent self-organizing maps to reduce projection errors.
ESANN 2005: 1-6 |
| 28 |  | Fabian Mörchen,
Alfred Ultsch:
Finding Persisting States for Knowledge Discovery in Time Series.
GfKl 2005: 278-285 |
| 27 |  | David Kämpf,
Alfred Ultsch:
An Overview of Artificial Life Approaches for Clustering.
GfKl 2005: 486-493 |
| 26 |  | Alfred Ultsch:
UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data.
GfKl 2005: 678-683 |
| 25 |  | Fabian Mörchen,
Alfred Ultsch,
Mario Nöcker,
Christian Stamm:
Visual Mining in Music Collections.
GfKl 2005: 724-731 |
| 24 |  | Fabian Mörchen,
Alfred Ultsch,
Mario Nöcker,
Christian Stamm:
Databionic Visualization of Music Collections According to Perceptual Distance.
ISMIR 2005: 396-403 |
| 23 |  | Fabian Mörchen,
Alfred Ultsch:
Optimizing time series discretization for knowledge discovery.
KDD 2005: 660-665 |
| 22 |  | Alfred Ultsch:
U*C: Self-organized Clustering with Emergent Feature Maps.
LWA 2005: 240-244 |
| 21 |  | Fabian Mörchen,
Alfred Ultsch,
Olaf Hoos:
Extracting interpretable muscle activation patterns with time series knowledge mining.
KES Journal 9(3): 197-208 (2005) |
| 2004 |
| 20 |  | Alfred Ultsch,
David Kämpf:
Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps.
ESANN 2004: 501-506 |
| 19 |  | Alfred Ultsch:
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure.
GfKl 2004: 232-239 |
| 18 |  | Fabian Mörchen,
Alfred Ultsch:
Discovering Temporal Knowledge in Multivariate Time Series.
GfKl 2004: 272-279 |
| 17 |  | Katrin Kupas,
Alfred Ultsch:
Data Mining in Protein Binding Cavities.
GfKl 2004: 354-361 |
| 16 |  | Alfred Ultsch:
Improving the Identification of Differentially Expressed Genes in cDNA Microarray Experiments.
GfKl 2004: 378-385 |
| 15 |  | Fabian Mörchen,
Alfred Ultsch:
Mining Hierarchical Temporal Patterns in Multivariate Time Series.
KI 2004: 127-140 |
| 14 |  | Fabian Mörchen,
Alfred Ultsch,
Olaf Hoos:
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.
PKDD 2004: 512-514 |
| 2002 |
| 13 |  | Alfred Ultsch,
Frank Röske:
Self-organizing feature maps predicting sea levels.
Inf. Sci. 144(1-4): 91-125 (2002) |
| 2001 |
| 12 |  | Gabriela Guimarães,
J.-H. 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) |
| 2000 |
| 11 |  | Alfred Ultsch:
A Neural Network Learning Relative Distances.
IJCNN (5) 2000: 553-558 |
| 1999 |
| 10 |  | Gabriela Guimarães,
Alfred Ultsch:
A Method for Temporal Knowledge Conversion.
IDA 1999: 369-382 |
| 1997 |
| 9 |  | 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 |
| 1995 |
| 8 |  | Alfred Ultsch,
Dieter Korus,
T. O. Kleine:
Integration of Neural Networks and Knowledge-Based Systems in Medicine.
AIME 1995: 425-426 |
| 1992 |
| 7 |  | Alfred Ultsch:
Knowledge Acquisition with Self-Organizing Neural Networks.
ECAI 1992: 208-210 |
| 6 |  | Alfred Ultsch,
Gabriela Guimarães,
Dieter Korus,
Heng Li:
Selbstorganisierende Neuronale Netze auf Transputern.
Transputer-Anwender-Treffen 1992: 194-203 |
| 1991 |
| 5 |  | Alfred Ultsch,
Günter Halmans,
Kira Schulz:
Die Transformation experimenteller Verteilungen durch eine Self-Organizing Feature Map.
DAGM-Symposium 1991: 207-214 |
| 4 |  | Alfred Ultsch,
H. Peter Siemon,
Günter Halmans:
Neuronale Netze zur Unterstützung der Umweltforschung.
Informatik für den Umweltschutz 1991: 296-302 |
| 3 |  | Günther Palm,
Ulrich Rückert,
Alfred Ultsch:
Wissensverarbeitung in neuronaler Architektur.
Wissensbasierte Systeme 1991: 508-518 |
| 1990 |
| 2 |  | Klaus-Uwe Höffgen,
H. Peter Siemon,
Alfred Ultsch:
Genetic Improvements of Feedforward Nets for Approximating Functions.
PPSN 1990: 302-306 |
| 1987 |
| 1 |  | Hans-Jürgen Appelrath,
Martin Ester,
Heinrich Jasper,
Alfred Ultsch:
KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung.
Expertensysteme 1987: 1-18 |