Optimal assignment methods for ligand-based virtual screening (2009)
Jahn, Andreas, Hinselmann, Georg, Fechner, Nikolas, Zell, Andreas
Abstract Background Ligand-based virtual screening experiments are an important task in the early drug discovery stage. An ambitious aim in each experiment is to disclose active structures based on...
BowTieBuilder: modeling signal transduction pathways (2009)
Supper, Jochen, Spangenberg, Lucía, Planatscher, Hannes, Dräger, Andreas, Schröder, Adrian, Zell, Andreas
Abstract Background Sensory proteins react to changing environmental conditions by transducing signals into the cell. These signals are integrated into core proteins that activate downstream target...
Henneges, Carsten, Bullinger, Dino, Fux, Richard, Friese, Natascha, Seeger, Harald, Neubauer, Hans, ...
Abstract Background Breast cancer belongs to the most frequent and severe cancer types in human. Since excretion of modified nucleosides from increased RNA metabolism has been proposed as a potential...
SBML2LATEX: Conversion of SBML files into human-readable reports (2009)
Dräger, Andreas, Planatscher, Hannes, Wouamba, Dieudonné Motsou, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is difficult...
Dräger, Andreas, Kronfeld, Marcel, Ziller, Michael J, Supper, Jochen, Planatscher, Hannes, Magnus, Jørgen B, ...
Abstract Background To understand the dynamic behavior of cellular systems, mathematical modeling is often necessary and comprises three steps: (1) experimental measurement of participating...
SBML2LATEX: Conversion of SBML files into human-readable reports (2009)
Dräger, Andreas, Planatscher, Hannes, Motsou Wouamba, Dieudonné, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
Summary: The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is...
Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell
Full Paper Kernel methods, like the well-known Support Vector Machine (SVM), have gained a growing interest during the last years for designing QSAR/QSPR models having a high predictive strength. One...
INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
GENE REGULATORY NETWORK INFERENCE VIA REGRESSION BASED TOPOLOGICAL REFINEMENT (2008)
Jochen Supper, Holger Fröhlich, Andreas Zell
Inferring the structure of gene regulatory networks from gene expression data has attracted a growing interest during the last years. Several machine learning related methods, such as Bayesian...
Michael Plagge, Richard Günther, Jörn Ihlenburg, Dirk Jung, Andreas Zell
Abstract. This paper describes the hardware and software architecture of the Attempto RoboCup-99 team. The different parts of robot, sensor and computer hardware which are used are presented. Then...
1.3 Stand der Forschung in Deutschland 6 (2008)
In Dynamischen Umgebungen, Thomas Christaller, Hans-dieter Burkhard, Paul Levi, Wolfgang Rosenstiel, Andreas Zell, ...
Bestehende Robotersysteme erfüllen nicht die hohen Anforderungen, die autonome, mobile Roboter stellen. Ein Hauptgrund für diesen Mangel ist die Tatsache, daß die Kombination von Geschwindigkeit...
zur Erlangung des Grades eines (2008)
This dissertation shows that computer-based lighting control systems can support the lighting design process considerably better than traditional consoles. It describes the Lula Project, a new...
Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Dipl.-Math. Olaf Etzmuß (2008)
Aus Gehrden, Dekan Prof, Dr. Andreas Zell
haben sich stetig erhöht. Daher reichen geometrische Modelle in einigen Anwendungsgebieten nicht mehr aus. Textilsimulation ist eine dieser Anwendungen, in denen die Modelle durch ihr physikalisches...
Ezekiel F. Adebiyi Pattern Discovery and Strings Sorting (2008)
Dipl Mathematiker, Ezekiel Femi Adebiyi, Dekan Prof, Dr. Andreas Zell
ii
Comparison of Different Approaches to Vibration-based Terrain Classification (2008)
Christian Weiss, Nikolas Fechner, Matthias Stark, Andreas Zell
Abstract — There is a variety of different terrain types in outdoor environments, each posing different dangers to the robot and demanding a different driving style. In a previous paper, we...
GENE REGULATORY NETWORK INFERENCE VIA REGRESSION BASED TOPOLOGICAL REFINEMENT (2008)
Jochen Supper, Holger Fröhlich, Andreas Zell
Inferring the structure of gene regulatory networks from gene expression data has attracted a growing interest during the last years. Several machine learning related methods, such as Bayesian...
INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
Keywords: Online Optimization, Engine Test Bed. (2008)
Er Sung, Andreas Zell, Er Vogel
Abstract: The settling times of target functions play an important role in the domain of online optimization at the engine test bed. Inert target functions generally induce long measuring times which...
Christian Weiss, Andreas Masselli, Andreas Zell
Abstract: In this paper, we present a geometrical localization method based on a combination of global image features. Our method represents each image by two feature vectors. The first feature...
Holger Fröhlich, Jörg K. Wegner, Andreas Zell, Regularized Risk Minimization
Abstract. In this paper we present a novel method for selecting descriptor subsets by means of Support Vector Machines in classification and regression – the Incremental Regularized Risk...
Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell
Full Paper Kernel methods, like the well-known Support Vector Machine (SVM), have gained a growing interest during the last years for designing QSAR/QSPR models having a high predictive strength. One...
SVMs for Vibration-based Terrain Classification (2008)
Christian Weiss, Matthias Stark, Andreas Zell
Abstract. When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn a...
IMPROVED PATH PLANNING IN HIGHLY DYNAMIC ENVIRONMENTS BASED ON TIME VARIANT POTENTIAL FIELDS (2008)
Patrick Heinemann, Hannes Becker, Andreas Zell
Planning collision-free paths is one of the basic skills for a mobile robot performing a goal-oriented task. Especially in highly dynamic environments such as robot soccer there is a need for smooth...
MOTION CONTROL OF AN OMNIDIRECTIONAL MOBILE ROBOT (2008)
Abstract: This paper focuses on the motion control problem of an omnidirectional mobile robot. A new control method based on the inverse input-output linearized kinematic model is proposed. As the...
Image Decomposition and Tracking with Gabor Wavelets (2008)
Abstract: This paper explores the use of the Gabor wavelet representation of an image for robust object tracking in robot vision (object grasping, gesture recognition and face tracking in human-robot...
Abstract. We present an intuitive method to generate visually convincing 3D models of indoor environments from data collected by a single 2D laser range finder and a color camera. The 2D map created...
Real-Time Scale Invariant Object and Face Tracking using Gabor Wavelet Templates (2008)
Abstract. This paper describes a real-time technique for scale invariant object or face tracking with standard PC hardware. The tracking method is based on a low redundancy (compressed) object image...
Swarm-supported Outdoor Localization with Sparse Visual Data (2008)
Marcel Kronfeld, Christian Weiss, Andreas Zell
achallengingfieldinroboticvisionresearch.Apartfromartificial environmentalsupporttechnologieslikeGPSlocalization,aselfsufficientvisualsystemisdesirable.Inthiswork,weintroduce...
H ∞ Filtering for a Mobile Robot Tracking a Free Rolling Ball (2008)
Abstract. This paper focuses on the problem of tracking and predicting the location and velocity of a rolling ball in the RoboCup environment, when the ball is pushed consecutively by a middle-size...
An Automatic Approach to Online Color Training in RoboCup Environments (2008)
Patrick Heinemann, Frank Sehnke, Felix Streichert, Andreas Zell
Abstract — Many approaches for extracting landmarks and objects from a camera image based on their color coding were published in the RoboCup domain. They are quite sophisticated and tuned to the...
PATH FOLLOWING CONTROL FOR A MOBILE ROBOT PUSHING (2008)
A Ball, Xiang Li, Andreas Zell
Abstract: This paper focuses on the control problem of a mobile robot pushing a ball. In order to drive a rolling ball along a given path, the robot should provide the ball with appropriate force by...
Christian Weiss, Hashem Tamimi, Andreas Masselli, Andreas Zell
Abstract — Vision-based robot localization in outdoor environments is difficult because of changing illumination conditions. Another problem is the rough and cluttered environment which makes it...
Corynebacterium Glutamicum, Andreas Dräger, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell
Abstract — Parameter estimation for biochemical model systems has become an important problem in systems biology. Here we focus on the metabolic subnetwork of the valine and leucine biosynthesis in...
An example of generating Internet-based course material (2008)
Igor Fischer, Simon Wiest, Andreas Zell
With universities being at the same time research and educational institutions, one would expect that WWW, which started as an exchange medium for scientific documents, quickly finds its application...
Wish To Express, Andreas Zell, Prof Dr, Wolfgang Straßer, A. Mojaev, H. Tamimi, ...
This paper presents a discussion on the use of electronic compasses in mobile robots. In that way, di#erent error sources are considered, and solutions are proposed to correct these errors. Their...
Self-Localization with RFID Snapshots in Densely Tagged Environments (2008)
Philipp Vorst, Sebastian Schneegans, Bin Yang, Andreas Zell
In this paper we show that, despite some disadvantageous properties of radio frequency identification (RFID), it is possible to localize a mobile robot quite accurately in environments which are...
Semi-Autonomous Learning of an RFID Sensor Model for Mobile Robot Self-Localization (2008)
Summary. In this paper, we present a method of learning a probabilistic RFID reader model with a mobile robot in a semi-automatic fashion. RFID and position data, recorded during an exploration...
A simple management tool for medium-sized Web sites (2007)
Abstract. Site management is one of the key issues in Web publishing. Whereas smaller sites can be still managed manually, large Web sites generally require a systematic approach, usually involving...
SNNS: Stuttgart Neural Network Simulator - Manual Extensions of Version 4.1 (2007)
Andreas Zell, Günter Mamier, Michael Vogt, Niels Mache, Ralf Hübner, Sven Döring, ...
This document is prepared for all those users that already have an older manual and wish to receive only an update for the new functionality. We do like to point out, however, that this document can...
SNNS: Stuttgart Neural Network Simulator - Manual Extensions of Version 4.0 (2007)
Andreas Zell, Gunter Mamier, Michael Vogt, Niels Mache, Ralf Hubner, Sven Doring, ...
This document is prepared for all those users that already have an older manual and wish to receive only an update for the new functionality. We do like to point out, however, that this document can...
Optimization by Gaussian Processes assisted Evolution Strategies (2007)
Holger Ulmer, Felix Streichert, Andreas Zell
Abstract. Evolutionary Algorithms (EA) are excellent optimization tools for complex high-dimensional multimodal problems. However, they require a very large number of problem function evaluations. In...
Different Criteria for Active Learning in Neural Networks: A Comparative Study (2007)
Abstract. The field of active learning and optimal query construction in Neural Network training is tightly connected with the design of experiments and its rich theory. Thus there is a large number...
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration (2007)
Jan Pol, Kosmas Knödler, Er Mitterer, Thomas Fleischhauer, Frank Zuber-goos, Andreas Zell
Abstract. We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a...
Abstract. The evolution strategy with neighborhood attraction (EN) is a new combination of self-organizing maps (SOM) and evolution strategies (ES). It adapts the neighborhood relationship known from...
On the Efficient Construction of Rectangular Grids from Given Data Points (2007)
Jan Pol, Kosmas Knödler, Andreas Zell
Abstract. Many combinatorial optimization problems provide their data in an input space with a given dimension. Genetic algorithms for those problems can benefit by using this natural dimension for...
Comparing genetic programming and evolution strategies on inferring gene regulatory networks (2007)
Felix Streichert, Hannes Planatscher, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algorithms. But often...
Processing Symbolic Data With Self-Organizing Maps (2007)
Current research on machine learning and related algorithms is focused mainly on numeric paradigms. It is, however, widely supposed that intelligent behavior strongly relies on ability to manipulate...
Gas Distribution in Unventilated Indoor Environments Inspected by a Mobile Robot (2007)
Michael W, Achim Lilienthal, Andreas Zell
Gas source localisation with robots is usually performed in environments with a strong, unidirectional airflow created by artificial ventilation. This tends to create a strong, well defined analyte...
An example of generating Internet-based course (2007)
Igor Fischer, Simon Wiest, Andreas Zell
material
Fast outdoor robot localization using integral invariants (2007)
Christian Weiss, Andreas Masselli, Hashem Tamimi, Andreas Zell
Abstract. Global Integral Invariant Features have shown to be useful for robot localization in indoor environments. In this paper, we present a method that uses integral invariants for outdoor...
Using RFID Snapshots for Mobile Robot Self-Localization (2007)
Sebastian Schneegans, Philipp Vorst, Andreas Zell
In recent years, radio frequency identification (RFID) has found its way into the field of mobile robot navigation. On the one hand, the technology promises to contribute solutions to common problems...
BMC Bioinformatics Methodology article (2007)
Martin Strauch, Dierk Wanke, Klaus Harter, Andreas Zell, Biomed Central
EDISA: extracting biclusters from multiple time-series of gene expression profiles
Automatic Calibration of Camera to World Mapping in RoboCup uing Evolutionary Algorithms (2006)
Patrick Heinemann, Felix Streichert, Frank Sehnke, Andreas Zell
Abstract — A common practical problem in mobile robotics is the task to calibrate the robot’s sensors. Although, the general mapping of the sensor data to robot-centered world coordinates is...
Towards a Calibration-Free Robot: The ACT Algorithm for Automatic Online Color Training (2006)
Patrick Heinemann, Frank Sehnke, Felix Streichert, Andreas Zell
Abstract. Many approaches for object detection based on color coding were published in the RoboCup domain. They are tuned to the typical RoboCup scenario of constant lighting using a static...
Vibration-based terrain classification using support vector machines (2006)
Christian Weiss, Holger Fröhlich, Andreas Zell
Abstract — In outdoor environments, there is a variety of different types of ground surfaces. If some of them are slippery or bumpy, for example, the ground surface itself is a possible hazard for...
A Novel Approach to Efficient Monte-Carlo Localization (2006)
Patrick Heinemann, Jürgen Haase, Andreas Zell
Abstract. Recently, efficient self-localization methods have been developed, among which probabilistic Monte-Carlo localization (MCL) is one of the most popular. However, standard MCL algorithms need...
Functional evaluation of domain-domain interactions and human protein interaction networks (2006)
Schlicker, Andreas, Huthmacher, Carola, Ramírez, Fidel, Lengauer, Thomas, Albrecht, Mario, Huson, Daniel, ...
Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of the provided data,...
Clustering-based Approach to Identify Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the dependencies of gene regulatory...
Biological Cluster Validity Indices (2005)
Based On The, Nora Speer, Christian Spieth, Andreas Zell
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain new popularity.
Functional Grouping of Genes Using Spectral Clustering And Gene Ontology (2005)
Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell
With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data the need for a functional grouping of genes...
Identifying Valid Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Andreas Zell, Nora Speer
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimization strategies...
Optimal assignment kernels for attributed molecular graphs (2005)
Holger Fröhlich, Jörg K. Wegner, Florian Sieker, Andreas Zell
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another one, including...
Multiobjective model optimization for inferring gene regulatory networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological process. The...
The Attempto Tübingen Robot Soccer Team (2005)
Patrick Heinemann, Hannes Becker, Jürgen Haase, Andreas Zell
Abstract. This paper describes the Attempto Tübingen Robot Soccer Team 2006. After radical changes in the software and hardware we present a team of six new omnidirectional robots in 2006 together...
Spectral clustering gene ontology terms to group genes by function (2005)
Nora Speer, Christian Spieth, Andreas Zell
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such data the need for...
Hashem Tamimi, Henrik Andreasson, André Treptow, Tom Duckett, Andreas Zell
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially when dealing with...
Functional Distances for Genes Based on GO Feature Maps and their Application to (2005)
Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell
Abstract — With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functional grouping...
The Attempto Tübingen Robot Soccer Team (2005)
Patrick Heinemann, André Treptow, Andreas Zell
Abstract. This paper describes the Attempto Tübingen Robot Soccer Team 2004. The robot platform, its sensors and actuators, and the software system running on the onboard computer are presented. The...
Parallelization of Multiobjective Evolutionary Algorithms Using Clustering Algorithms (2005)
Felix Streichert, Holger Ulmer, Andreas Zell
schemes are both well established and easy to implement, this is not the case for Multi-Objective Evolutionary Algorithms (MOEAs). Nevertheless, the need for parallelizing MOEAs arises in many...
Hybrid Representations for Composition Optimization and Parallelizing MOEAs (2005)
Streichert, Felix, Ulmer, Holger, Zell, Andreas
We present a hybrid EA representation suitable to optimize composition optimization problems ranging from optimizing recipes for catalytic materials to cardinality constrained portfolio selection. On...
Comparing discrete and continuous genotypes on the constrained portfolio selection problem (2004)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of model to use...
How to evolve the head-tail pattern from Reaction–diffusion systems (2004)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to be solved before...
Gas Source Declaration with a Mobile Robot (2004)
Achim Lilienthal, Holger Ulmer, Holger Fröhlich, Andreas Stützle, Felix Werner, Andreas Zell
Abstract — As a sub-task of the general gas source localisation problem, gas source declaration is the process of determining the certainty that a source is in the immediate vicinity. Due to the...
Vision based Localization of Mobile Robots using Kernel approaches (2004)
The aim of this article is to present the potential of Kernel Principal Component Analysis (Kernel PCA) in the field of vision based robot localization. Using Kernel PCA we can extract features from...
Disambiguating Robot Positioning Using (2004)
Laser And Geomagnetic, Ashraf Aboshosha, Andreas Zell
This article proposes a technique for position disambiguating of mobile robots using laser and geomagnetic signatures in indoor terrains. Referring to the geomagnetic signature, magnetic field...
Iteratively inferring gene regulatory networks with virtual knockout experiments (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm optimization process...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from artificial data sets of DNA microarray experiments. Some researchers suggested Evolutionary Algorithms for...
Fast and Accurate Environment Modelling using Omnidirectional Vision (2004)
Patrick Heinemann, Thomas Rückstieß, Andreas Zell
Abstract. This paper describes an algorithm to detect obstacles and landmarks, using the omnidirectional vision system of a RoboCup robot, to build an internal representation of the robot’s...
Tracking Dynamic Objects in a RoboCup Environment - The Attempto Tübingen Robot Soccer Team (2004)
Patrick Heinemann, Michael Plagge, André Treptow, Andreas Zell
Abstract. This paper describes the Attempto Tübingen Robot Soccer
A memetic inference method for gene regulatory networks based on s-systems (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. As underlying mathematical model we used S-Systems, a quantitative model,...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene regulatory networks by...
Evolving the ability of limited growth and self-repair for artificial embryos (2003)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In this paper we address the problem of limited growth and the difficulty of self-repair in the field of Artificial Embryology. We implemented a topological simulation of multiple cells...
Evolutionary algorithms and the cardinality constrained portfolio selection problem (2003)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. While the unconstrained portfolio optimization problem can be solved efficiently by standard algorithms, this is not the case for the portfolio optimization problem with additional real...
Gas source tracing with a mobile robot using an adapted moth strategy (2003)
Achim Lilienthal, Denis Reimann, Andreas Zell
Abstract. As a sub-task of the general gas source localisation problem, gas source tracing is supposed to guide a gas-sensitive mobile system towards a source by using the cues determined from the...
Evolutionary algorithms and the cardinality constrained portfolio selection problem (2003)
Felix Streichert, Holger Ulmer, Andreas Zell
Abstract. While the unconstrained portfolio optimization problem can be solved efficiently by standard algorithms, this is not the case for the portfolio optimization problem with additional real...
A clustering based niching ea for multimodal search spaces (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
Abstract. We propose a new niching method for Evolutionary Algorithms which is able to identify and track global and local optima in a multimodal search space. To prevent the loss of diversity we...
Real-time object tracking for soccer-robots without color information (2003)
André Treptow, Andreas Masselli, Andreas Zell
Abstract. Objects in the RoboCup scenario (soccer playing robots) are identified by their unique color. These visual cues will be removed in the near future so that new vision algorithms are needed...
Evolution strategies assisted by gaussian processes with improved pre-selection criterion (2003)
Holger Ulmer, Felix Streichert, Andreas Zell
the number of fitness function evaluations is limited by time and cost. These problems pose a special challenge to the field of evolutionary computation, since existing evolutionary methods require a...
A clustering based niching method for evolutionary algorithms (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
We propose the Clustering Based Niching (CBN) method for Evolutionary Algorithms (EA) to identify multiple global and local optima in a multimodal search space. The basic idea is to apply the...
Ashraf Aboshosha, Andreas Zell
In this study a sensor integration scheme to improve the capabilities of an indoor robot, has been developed such as mapping, collision avoidance and path planning. This integration has been carried...
A clustering based niching method for evolutionary algorithms (2003)
Felix Streichert, Gunnar Stein, Holger Ulmer, Andreas Zell
We propose the Clustering Based Niching (CBN) method for Evolutionary Algorithms (EA) to identify multiple global and local optima in a multimodal search space. The basic idea is to apply the...
Clustering Gene Expression Profiles with Memetic Algorithms (2002)
Microarrays have become a key technology in experimental molecular biology. They allow a monitoring of gene expression for more than ten thousand genes in parallel producing huge amounts of data. In...
Experiences Using Gas Sensors on an Autonomous Mobile Robot (2001)
Achim Lilienthal, Andreas Zell, Michael W, Udo Weimar
This paper reports on experiences concerning the deployment of gas sensors on an autonomous mobile robot. It particularly addresses the suitability of the developed system to localize a distant odour...
Improving Web Based Training Using an XML Content Base (2001)
In this paper we point out the benefits of using structured content in Web Based Training (WBT) scenarios. Using an XML compliant subset of the DocBook document type definition –enriched with...
Sensing odour sources in indoor environments without a constant airflow by a mobile robot (2001)
Achim Lilienthal, Andreas Zell, Michael W, Udo Weimar
A mobile robot with gas sensors commonly denoted as 'electronic nose ' enables some interesting applications including the development of an 'electronic watchman ' that is able to...
Sensing odour sources in indoor environments without a constant airflow by a mobile robot (2001)
Achim Lilienthal, Andreas Zell
A mobile robot with gas sensors commonly denoted as ’electronic nose ’ enables some interesting applications including the development of an ’electronic watchman ’ that is able to detect and...
Experiences Using Gas Sensors on an Autonomous Mobile Robot (2001)
Achim Lilienthal, Andreas Zell, Michael W, Udo Weimar
This paper reports on experiences concerning the deployment of gas sensors on an autonomous mobile robot. It particularly addresses the suitability of the developed system to localize a distant odour...
A.: Median-selection for parallel steady-state evolution strategies (2000)
Abstract. We describe a new selection scheme for steady-state evolution strategies, median selection. In steady-state algorithms, only one individual is generated and evaluated at each step and is...
String Averages and Self-Organizing Maps for Strings (2000)
In a recent paper, T. Kohonen and P. Somervuo have shown that self-organizing maps (SOMs) are not restricted to numerical data. They can also be defined for symbol strings, provided that one defines...
A.: Evolution strategy with neighborhood attraction (2000)
Jutta Huhse, Thomas Villmann, Peter Merz, Andreas Zell
Abstract. In evolution strategies with neighborhood attraction (EN) the concepts of neighborhood cooperativeness and learning rules known from neural maps are transferred onto the individuals of...
A.: Evolution strategy with neighborhood attraction (2000)
The evolution strategy with neighborhood attraction (EN) is a new combination of selforganizing maps (SOM) and evolution strategies (ES). It adapts the neighborhood relationship known from SOM to ES...
Double Growing Neural Gas for Disease Diagnosis (2000)
We present here a variant of B. Fritzke's GNG (Growing Neural Gas) --- Double GNG (DGNG). In each insertion step of the GNG only one new cell is inserted in the middle of the edge connecting...
Externally Growing Cell Structures for Pattern Classification (2000)
Based on B. Fritzke's GCS (Growing Cell Structures) we present here a new incremental self-organizing neural network, the Externally Growing Cell Structures (EGCS). Our goals are to speed up the...
String Averages and Self-Organizing Maps for Strings (2000)
In a recent paper, T. Kohonen and P. Somervuo have shown that selforganizing maps (SOMs) are not restricted to numerical data. They can also be defined for symbol strings, provided that one defines...
Detection, tracking, and pursuit of humans with an autonomous mobile robot (1999)
We present a system which is able to visually detect human faces, to track them by controlling a robot-head, and to pursue a detected person by means of driving movements. The detection is based on a...
Evolving a task specific image operator (1999)
Abstract. Image processing is usually done by chaining a series of well known image processing operators. Using evolutionary methods this process may be automated. In this paper we address the...
Multiple Growing Cell Structures (1999)
We present here a variant of B. Fritzke's GCS (Growing Cell Structures) --- Multiple GCS (MGCS). In each insertion step of the GCS only one new cell is inserted in the middle of the edge...
EvA - a tool for optimization with evolutionary algorithms (1997)
We describe the EvA software package which consists of parallel (and sequential) implementations of genetic algorithms (GAs) and evolution strategies (ESs) and a common graphical user interface. We...
SNNS - Stuttgart Neural Network Simulator (1993)
Andreas Zell, Niels Mache, Ralf Hübner, Günter Mamier, Michael Vogt, Kai-uwe Herrmann, ...
This document is structured as follows: This chapter 1 gives a brief introduction and overview of SNNS.
A new selection scheme for steady-state evolution strategies (1012)
In this paper, a new selection scheme for a ( + 1) steady-state evolution strategy is described: the so-called median selection. In contrast to generational algorithms, only one individual is...
Dräger, Andreas, Kronfeld, Marcel, Ziller, Michael J, Supper, Jochen, Planatscher, Hannes, Magnus, Jørgen B, ...
Henneges, Carsten, Bullinger, Dino, Fux, Richard, Friese, Natascha, Seeger, Harald, Neubauer, Hans, ...
SBML2LaTEX: Conversion of SBML files into human-readable reports
Dräger, Andreas, Planatscher, Hannes, Motsou Wouamba, Dieudonné, Schröder, Adrian, Hucka, Michael, Endler, Lukas, ...
Summary: The XML-based Systems Biology Markup Language (SBML) has emerged as a standard for storage, communication and interchange of models in systems biology. As a machine-readable format XML is...