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

Control for knowledge based information retrieval. - Alfred Ultsch (1987)

Genetic Improvements of Feedforward Nets for Approximating Functions. - Klaus-Uwe Höffgen; H. Peter Siemon; Alfred Ultsch (PPSN, 1990)

Die Transformation experimenteller Verteilungen durch eine Self-Organizing Feature Map. - Alfred Ultsch; Günter Halmans; Kira Schulz (DAGM-Symposium, 1991)

Neuronale Netze zur Unterstützung der Umweltforschung. - Alfred Ultsch; H. Peter Siemon; Günter Halmans (Informatik für den Umweltschutz, 1991)

Wissensverarbeitung in neuronaler Architektur. - Günther Palm; Ulrich Rückert 001; Alfred Ultsch (Wissensbasierte Systeme, 1991)

Knowledge Acquisition with Self-Organizing Neural Networks. - Alfred Ultsch (ECAI, 1992)

Selbstorganisierende Neuronale Netze auf Transputern. - Alfred Ultsch; Gabriela Guimarães; Dieter Korus; Heng Li (Transputer-Anwender-Treffen, 1992)

Knowledge Extraction from Artificial Neural Networks and Applications. - Alfred Ultsch; Gabriela Guimarães; Dieter Korus; Heng Li (Transputer-Anwender-Treffen, 1993)

A Hybrid Expert System for Avalanche Forecasting. - Martin Schweizer; P. M. B. Föhn; Jürg Schweizer; Alfred Ultsch (ENTER, 1994)

Integration of Neural Networks and Knowledge-Based Systems in Medicine. - Alfred Ultsch; Dieter Korus; T. O. Kleine (AIME, 1995)

Integration of neural networks with knowledge-based systems. - Alfred Ultsch; Dieter Korus (ICNN, 1995)

Classification and prediction of hail using self-organizing neural networks. - Alfred Ultsch; Gabriela Guimarães; Willi Schmid (ICNN, 1996)

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

The integration of connectionist models with knowledge-based systems: hybrid systems. - Alfred Ultsch (SMC, 1998)

A Method for Temporal Knowledge Conversion. - Gabriela Guimarães; Alfred Ultsch (IDA, 1999)

A Neural Network Learning Relative Distances. - Alfred Ultsch (IJCNN (5), 2000)

A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders. - Gabriela Guimarães; Jörg-Hermann Peter; Thomas Penzel; Alfred Ultsch (Artif. Intell. Medicine, 2001)

Self-organizing feature maps predicting sea levels. - Alfred Ultsch; Frank Röske (Inf. Sci., 2002)

Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps. - Alfred Ultsch; David Kämpf (ESANN, 2004)

Data Mining in Protein Binding Cavities. - Katrin Kupas; Alfred Ultsch (GfKl, 2004)

Discovering Temporal Knowledge in Multivariate Time Series. - Fabian Mörchen; Alfred Ultsch (GfKl, 2004)

Density Estimation and Visualization for Data Containing Clusters of Unknown Structure. - Alfred Ultsch (GfKl, 2004)

Improving the Identification of Differentially Expressed Genes in cDNA Microarray Experiments. - Alfred Ultsch (GfKl, 2004)

Mining Hierarchical Temporal Patterns in Multivariate Time Series. - Fabian Mörchen; Alfred Ultsch (KI, 2004)

Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. - Fabian Mörchen; Alfred Ultsch; Olaf Hoos (PKDD, 2004)

Comparison of substructural epitopes in enzyme active sites using self-organizing maps. - Katrin Kupas; Alfred Ultsch; Gerhard Klebe (J. Comput. Aided Mol. Des., 2004)

An Algorithm for Finding Similarities in protein Active sites. - Katrin Kupas; Alfred Ultsch; Gerhard Klebe (Advances in Bioinformatics and Its Applications, 2005)

The architecture of emergent self-organizing maps to reduce projection errors. - Alfred Ultsch; Lutz Herrmann 001 (ESANN, 2005)

An Overview of Artificial Life Approaches for Clustering. - David Kämpf; Alfred Ultsch (GfKl, 2005)

Finding Persisting States for Knowledge Discovery in Time Series. - Fabian Mörchen; Alfred Ultsch (GfKl, 2005)

Visual Mining in Music Collections. - Fabian Mörchen; Alfred Ultsch; Mario Nöcker; Christian Stamm (GfKl, 2005)

UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data. - Alfred Ultsch (GfKl, 2005)

Databionic Visualization of Music Collections According to Perceptual Distance. - Fabian Mörchen; Alfred Ultsch; Mario Nöcker; Christian Stamm (ISMIR, 2005)

Optimizing time series discretization for knowledge discovery. - Fabian Mörchen; Alfred Ultsch (KDD, 2005)

U*C: Self-organized Clustering with Emergent Feature Maps. - Alfred Ultsch (LWA, 2005)

Extracting interpretable muscle activation patterns with time series knowledge mining. - Fabian Mörchen; Alfred Ultsch; Olaf Hoos (Int. J. Knowl. Based Intell. Eng. Syst., 2005)

An algorithm for fast and reliable ESOM learning. - Mario Nöcker; Fabian Mörchen; Alfred Ultsch (ESANN, 2006)

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

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

Modeling timbre distance with temporal statistics from polyphonic music. - Fabian Mörchen; Alfred Ultsch; Michael Thies; Ingo Lohken (IEEE Trans. Speech Audio Process., 2006)

Urban Data Mining Using Emergent SOM. - Martin Behnisch; Alfred Ultsch (GfKl, 2007)

An Artificial Life Approach for Semi-supervised Learning. - Lutz Herrmann 001; Alfred Ultsch (GfKl, 2007)

Visualization and Clustering of Tagged Music Data. - Pascal Lehwark; Sebastian Risi; Alfred Ultsch (GfKl, 2007)

U*C: Distance and Density Clustering based on Grid Projections. - Alfred Ultsch (LWA, 2007)

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

The Architecture of Ant-Based Clustering to Improve Topographic Mapping. - Lutz Herrmann 001; Alfred Ultsch (ANTS Conference, 2008)

Explaining Ant-Based Clustering on the basis of Self-Organizing Maps. - Lutz Herrmann 001; Alfred Ultsch (ESANN, 2008)

Estimating the Number of Buildings in Germany. - Martin Behnisch; Alfred Ultsch (GfKl, 2008)

The Precise and Efficient Identification of Medical Order Forms Using Shape Trees. - Uwe Henker; Uwe Petersohn; Alfred Ultsch (GfKl, 2008)

Strengths and Weaknesses of Ant Colony Clustering. - Lutz Herrmann 001; Alfred Ultsch (GfKl, 2008)

Finding Music Fads by Clustering Online Radio Data with Emergent Self Organizing Maps. - Florian Meyer; Alfred Ultsch (GfKl, 2008)

Is Log Ratio a Good Value for Measuring Return in Stock Investments? - Alfred Ultsch (GfKl, 2008)

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

Clustering with Swarm Algorithms Compared to Emergent SOM. - Lutz Herrmann 001; Alfred Ultsch (WSOM, 2009)

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

Self Organized Swarms for cluster preserving Projections of high-dimensional Data. - Alfred Ultsch; Lutz Herrmann 001 (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2010)

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

A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain. - Jörn Lötsch; Alfred Ultsch (J. Biomed. Informatics, 2013)

Exploiting the Structures of the U-Matrix. - Jörn Lötsch; Alfred Ultsch (WSOM, 2014)

ESOM Visualizations for Quality Assessment in Clustering. - Alfred Ultsch; Martin Behnisch; Jörn Lötsch (WSOM, 2016)

Credible visualizations for planar projections. - Alfred Ultsch; Michael C. Thrun (WSOM, 2017)

Machine-learned cluster identification in high-dimensional data. - Alfred Ultsch; Jörn Lötsch (J. Biomed. Informatics, 2017)

Computational functional genomics-based reduction of disease-related gene sets to their key components. - Catharina Lippmann; Alfred Ultsch; Jörn Lötsch (Bioinform., 2019)

Analyzing the Fine Structure of Distributions. - Michael C. Thrun; Tino Gehlert; Alfred Ultsch (CoRR, 2019)

Interactive Machine Learning Tool for Clustering in Visual Analytics. - Michael C. Thrun; Felix Pape; Alfred Ultsch (DSAA, 2020)

Swarm Intelligence for Self-Organized Clustering (Extended Abstract). - Michael C. Thrun; Alfred Ultsch (IJCAI, 2020)

Swarm-Based Cluster Analysis for Knowledge Discovery. - Michael C. Thrun; Alfred Ultsch (KI, 2020)

The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms. - Alfred Ultsch; Jörn Lötsch (Data, 2020)

Swarm intelligence for self-organized clustering. - Michael C. Thrun; Alfred Ultsch (Artif. Intell., 2021)

Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data. - Michael C. Thrun; Alfred Ultsch (J. Classif., 2021)

An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data. - Alfred Ultsch; Jörg Hoffmann; Maximilian Röhnert; Malte Von Bonin; Uta Oelschlägel; Cornelia Brendel; Michael C. Thrun (CoRR, 2021)

Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). - Michael C. Thrun; Felix Pape; Alfred Ultsch (Int. J. Data Sci. Anal., 2021)

Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC). - Michael C. Thrun; Felix Pape; Alfred Ultsch (Int. J. Data Sci. Anal., 2021)

Explainable AI Framework for Multivariate Hydrochemical Time Series. - Michael C. Thrun; Alfred Ultsch; Lutz Breuer (Mach. Learn. Knowl. Extr., 2021)

Interactive Toolbox for Two-Dimensional Gaussian Mixture Modeling. - Michael C. Thrun; Quirin Stier; Alfred Ultsch (ECML/PKDD (6), 2022)

Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans). - Alfred Ultsch; Jörn Lötsch (BMC Bioinform., 2022)

Augmenting small biomedical datasets using generative AI methods based on self-organizing neural networks. - Alfred Ultsch; Jörn Lötsch (Briefings Bioinform., 2024)