Alfred Ultsch

According to our database, Alfred Ultsch authored at least 77 papers between 1987 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans).

Alfred Ultsch, Jörn Lötsch

BMC Bioinform., 2022

Interactive Toolbox for Two-Dimensional Gaussian Mixture Modeling.

Michael C. Thrun, Quirin Stier, Alfred Ultsch

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Explainable AI Framework for Multivariate Hydrochemical Time Series.

Michael C. Thrun, Alfred Ultsch, Lutz Breuer

Mach. Learn. Knowl. Extr., 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

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

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

Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data.

Michael C. Thrun, Alfred Ultsch

J. Classif., 2021

Swarm intelligence for self-organized clustering.

Michael C. Thrun, Alfred Ultsch

Artif. Intell., 2021

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-Based Cluster Analysis for Knowledge Discovery.

Michael C. Thrun, Alfred Ultsch

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Swarm Intelligence for Self-Organized Clustering (Extended Abstract).

Michael C. Thrun, Alfred Ultsch

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interactive Machine Learning Tool for Clustering in Visual Analytics.

Michael C. Thrun, Felix Pape, Alfred Ultsch

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Analyzing the Fine Structure of Distributions.

Michael C. Thrun, Tino Gehlert, Alfred Ultsch

CoRR, 2019

Computational functional genomics-based reduction of disease-related gene sets to their key components.

Catharina Lippmann, Alfred Ultsch, Jörn Lötsch

Bioinform., 2019

2017

Machine-learned cluster identification in high-dimensional data.

Alfred Ultsch, Jörn Lötsch

J. Biomed. Informatics, 2017

Credible visualizations for planar projections.

Alfred Ultsch, Michael C. Thrun

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

2016

ESOM Visualizations for Quality Assessment in Clustering.

Alfred Ultsch, Martin Behnisch, Jörn Lötsch

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

2014

Exploiting the Structures of the U-Matrix.

Jörn Lötsch, Alfred Ultsch

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

2013

A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain.

Jörn Lötsch, Alfred Ultsch

J. Biomed. Informatics, 2013

2011

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

2010

Self Organized Swarms for cluster preserving Projections of high-dimensional Data.

Alfred Ultsch, Lutz Herrmann

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2010

Clustering Temporal Population Patterns in Switzerland (1850-2000).

Martin Behnisch, Alfred Ultsch

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2009

Clustering with Swarm Algorithms Compared to Emergent SOM.

Lutz Herrmann, Alfred Ultsch

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

2008

A Comparison of Algorithms to Find Differentially Expressed Genes in Microarray Data.

Alfred Ultsch, Christian Pallasch, Eckhard Bergmann, Holger Christiansen

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Is Log Ratio a Good Value for Measuring Return in Stock Investments?

Alfred Ultsch

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Finding Music Fads by Clustering Online Radio Data with Emergent Self Organizing Maps.

Florian Meyer, Alfred Ultsch

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Strengths and Weaknesses of Ant Colony Clustering.

Lutz Herrmann, Alfred Ultsch

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

The Precise and Efficient Identification of Medical Order Forms Using Shape Trees.

Uwe Henker, Uwe Petersohn, Alfred Ultsch

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Estimating the Number of Buildings in Germany.

Martin Behnisch, Alfred Ultsch

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Explaining Ant-Based Clustering on the basis of Self-Organizing Maps.

Lutz Herrmann, Alfred Ultsch

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

The Architecture of Ant-Based Clustering to Improve Topographic Mapping.

Lutz Herrmann, Alfred Ultsch

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007

Efficient mining of understandable patterns from multivariate interval time series.

Fabian Mörchen, Alfred Ultsch

Data Min. Knowl. Discov., 2007

U^*C: Distance and Density Clustering based on Grid Projections.

Alfred Ultsch

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Visualization and Clustering of Tagged Music Data.

Pascal Lehwark, Sebastian Risi, Alfred Ultsch

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

An Artificial Life Approach for Semi-supervised Learning.

Lutz Herrmann, Alfred Ultsch

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Urban Data Mining Using Emergent SOM.

Martin Behnisch, Alfred Ultsch

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Modeling timbre distance with temporal statistics from polyphonic music.

Fabian Mörchen, Alfred Ultsch, Michael Thies, Ingo Lohken

IEEE Trans. Speech Audio Process., 2006

Understandable models Of music collections based on exhaustive feature generation with temporal statistics.

Fabian Mörchen, Ingo Mierswa, Alfred Ultsch

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Advances in Data Analysis, 2006

An algorithm for fast and reliable ESOM learning.

Mario Nöcker, Fabian Mörchen, Alfred Ultsch

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

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

U*C: Self-organized Clustering with Emergent Feature Maps.

Alfred Ultsch

Proceedings of the Lernen, 2005

Optimizing time series discretization for knowledge discovery.

Fabian Mörchen, Alfred Ultsch

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Databionic Visualization of Music Collections According to Perceptual Distance.

Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm

Proceedings of the ISMIR 2005, 2005

UnitExpressions: A Rational Normalization Scheme for DNA Microarray Data.

Alfred Ultsch

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Visual Mining in Music Collections.

Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Finding Persisting States for Knowledge Discovery in Time Series.

Fabian Mörchen, Alfred Ultsch

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

An Overview of Artificial Life Approaches for Clustering.

David Kämpf, Alfred Ultsch

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

The architecture of emergent self-organizing maps to reduce projection errors.

Alfred Ultsch, Lutz Herrmann

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

An Algorithm for Finding Similarities in protein Active sites.

Katrin Kupas, Alfred Ultsch, Gerhard Klebe

Proceedings of the Advances in Bioinformatics and Its Applications, 2005

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

Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.

Fabian Mörchen, Alfred Ultsch, Olaf Hoos

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Mining Hierarchical Temporal Patterns in Multivariate Time Series.

Fabian Mörchen, Alfred Ultsch

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Improving the Identification of Differentially Expressed Genes in cDNA Microarray Experiments.

Alfred Ultsch

Proceedings of the Classification, 2004

Density Estimation and Visualization for Data Containing Clusters of Unknown Structure.

Alfred Ultsch

Proceedings of the Classification, 2004

Discovering Temporal Knowledge in Multivariate Time Series.

Fabian Mörchen, Alfred Ultsch

Proceedings of the Classification, 2004

Data Mining in Protein Binding Cavities.

Katrin Kupas, Alfred Ultsch

Proceedings of the Classification, 2004

Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps.

Alfred Ultsch, David Kämpf

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2002

Self-organizing feature maps predicting sea levels.

Alfred Ultsch, Frank Röske

Inf. Sci., 2002

2001

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

2000

A Neural Network Learning Relative Distances.

Alfred Ultsch

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A Method for Temporal Knowledge Conversion.

Gabriela Guimarães, Alfred Ultsch

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998

The integration of connectionist models with knowledge-based systems: hybrid systems.

Alfred Ultsch

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997

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

Proceedings of the Artificial Intelligence Medicine, 1997

1996

Classification and prediction of hail using self-organizing neural networks.

Alfred Ultsch, Gabriela Guimarães, Willi Schmid

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Integration of neural networks with knowledge-based systems.

Alfred Ultsch, Dieter Korus

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Integration of Neural Networks and Knowledge-Based Systems in Medicine.

Alfred Ultsch, Dieter Korus, T. O. Kleine

Proceedings of the Artificial Intelligence Medicine, 1995

1994

A Hybrid Expert System for Avalanche Forecasting.

Martin Schweizer, P. M. B. Föhn, Jürg Schweizer, Alfred Ultsch

Proceedings of the International Conference on Information and Communications Technologies in Tourism, 1994

1993

Knowledge Extraction from Artificial Neural Networks and Applications.

Alfred Ultsch, Gabriela Guimarães, Dieter Korus, Heng Li

Proceedings of the Parallele Datenverarbeitung mit dem Transputer, 1993

1992

Selbstorganisierende Neuronale Netze auf Transputern.

Alfred Ultsch, Gabriela Guimarães, Dieter Korus, Heng Li

Proceedings of the Parallele Datenverarbeitung mit dem Transputer, 1992

Knowledge Acquisition with Self-Organizing Neural Networks.

Alfred Ultsch

Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991

Wissensverarbeitung in neuronaler Architektur.

Günther Palm, Ulrich Rückert, Alfred Ultsch

Proceedings of the Verteilte Künstliche Intelligenz und kooperatives Arbeiten, 1991

Neuronale Netze zur Unterstützung der Umweltforschung.

Alfred Ultsch, H. Peter Siemon, Günter Halmans

Proceedings of the Informatik für den Umweltschutz / Computer Science for Environmental Protection, 1991

Die Transformation experimenteller Verteilungen durch eine Self-Organizing Feature Map.

Alfred Ultsch, Günter Halmans, Kira Schulz

Proceedings of the Mustererkennung 1991, 1991

1990

Genetic Improvements of Feedforward Nets for Approximating Functions.

Klaus-Uwe Höffgen, H. Peter Siemon, Alfred Ultsch

Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990

1987

Control for knowledge based information retrieval.

Alfred Ultsch

PhD thesis, 1987

KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung.

Hans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch

Proceedings of the Expertensysteme '87: Konzepte und Werkzeuge, 1987