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[1]Philipp Vorst and Andreas Zell. Semi-Autonomous Learning of an {RFID} Sensor Model for Mobile Robot Self-localization. In European Robotics Symposium 2008, pages 273--282,feb, 2008. [url]
Bibtex@INPROCEEDINGS{vorst2008sensor-model-learning,
      author = {Philipp Vorst and Andreas Zell},
      title = {Semi-Autonomous Learning of an {RFID} Sensor Model for Mobile Robot Self-localization},
      booktitle = {European Robotics Symposium 2008},
      year = {2008},
      editor = {Bruno Siciliano and Oussama Khatib and Frans Groen},
      volume = {44/2008},
      series = {Springer Tracts in Advanced Robotics},
      pages = {273--282},
      month = {feb},
      publisher = {Springer Berlin/Heidelberg},
      abstract = {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 phase, are used to learn the probability of detecting an RFID tag, for which we investigate two non-parametric probability density estimation techniques. The trained model is finally used to localize the robot via a particle filter-based approach and optimized with respect to the resulting localization error. Experiments have shown that the learned models perform comparably well as a grid-based model learned from measurements in a stationary setup, but can be obtained easier.},
      comment = {1610-7438 (Print) 1610-742X (Online)},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/vorst/publications/vorst2008sensor-model-learning.html},
      doi = {10.1007/978-3-540-78317-6},
      project = {abt_zell, robotics, ambisense, rfid},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/vorst2008rfid-sensor-model.pdf},
}
[2]Wanke, Dierk and Kilian, Joachim and Supper, Jochen and Berendzen, Kenneth W. and Zell, Andreas and Harter, Klaus. The analysis of gene expression and \emph{cis}-regulatory elements in large microarray expression datasets. In {Quantum Bio-Informatics: From Quantum Information to Bio-Informatics}, pages 294--314,mar, 2008. [url]
Bibtex@INCOLLECTION{2008_79,
      author = {Wanke, Dierk and Kilian, Joachim and Supper, Jochen and Berendzen, Kenneth W. and Zell, Andreas and Harter, Klaus},
      title = {The analysis of gene expression and \emph{cis}-regulatory elements in large microarray expression datasets},
      booktitle = {{Quantum Bio-Informatics: From Quantum Information to Bio-Informatics}},
      publisher = {World Scientific Pub Co Inc.},
      year = {2008},
      volume = {21},
      number = {XXI},
      pages = {294--314},
      month = {mar},
      abstract = {A challenging task for biologists and bioinformatic scientists is the analysis of gene expression mediated by \emph{cis}-regulatory elements (CREs). Regulatory DNA sequences harbor essential information to control specific gene expression and integrate information derived from signaling cascades. By the means of microarrays, the abundance of several thousand transcripts can be monitored simultaneously. This data can be used to model the flow of information from incoming signals via CREs that orchestrate gene expression, which may converge on downstream CREs. In the last few years, many large, directly comparable microarray datasets have been performed in the AtGenExpress project with the plant model organism \emph{Arabidopsis thaliana}. Each of these datasets constitutes an invaluable information resource for the study of plant developmental processes, physiological responses or interaction with its environment. Moreover, there is an increasing number of multidimensional expression datasets, for which suitable analysis programs that can keep track of all dimensions are still missing. Additional limitations of microarray analysis include overcoming a ``smoothing effect" on the relative gene expression when a large number of expression profile datasets are combined for comparison. Ultimately, the investigation of CREs possibly involved in regulating transcription is best aided by using specific gene clusters and determining linkage between gene expression, CRE position, orientation and number.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2008_79},
      isbn = {981279316X},
      journal = {Quantum Bio-Informatics: From Quantum Information to Bio-Informatics},
      keywords = {Multidimensional gene expression datasets, microarray expression profiles, cis-regulatory elements, transcriptional regulation, Arabidopsis thaliana, AtGenExpress},
      project = {abt_zell, bioinformatics},
      url = {http://www.worldscibooks.com/physics/6756.html},
}
[3]Dräger, Andreas and Hassis, Nadine and Supper, Jochen and Schröder, Adrian and Zell, Andreas. {SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks}. , pages 39,apr, 2008. [pdf , url]
Bibtex@ARTICLE{Draeger2008,
      author = {Dräger, Andreas and Hassis, Nadine and Supper, Jochen and Schröder, Adrian and Zell, Andreas},
      title = {{SBMLsqueezer: a CellDesigner plug-in to generate kinetic rate equations for biochemical networks}},
      journal = {BMC Systems Biology},
      year = {2008},
      volume = {2},
      pages = {39},
      number = {1},
      month = {apr},
      abstract = {Background: The development of complex biochemical models has been facilitated through the standardization of machine-readable representations like SBML (Systems Biology Markup Language). This effort is accompanied by the ongoing development of the human-readable diagrammatic representation SBGN (Systems Biology Graphical Notation). The graphical SBML editor CellDesigner allows direct translation of SBGN into SBML, and vice versa. For the assignment of kinetic rate laws, however, this process is not straightforward, as it often requires manual assembly and specific knowledge of kinetic equations. Results: SBMLsqueezer facilitates exactly this modeling step via automated equation generation, overcoming the highly error-prone and cumbersome process of manually assigning kinetic equations. For each reaction the kinetic equation is derived from the stoichiometry, the participating species (e.g., proteins, mRNA or simple molecules) as well as the regulatory relations (activation, inhibition or other modulations) of the SBGN diagram. Such information allows distinctions between, for example, translation, phosphorylation or state transitions. The types of kinetics considered are numerous, for instance generalized mass-action, Hill, convenience and several Michaelis-Menten-based kinetics, each including activation and inhibition. These kinetics allow SBMLsqueezer to cover metabolic, gene regulatory, signal transduction and mixed networks. Whenever multiple kinetics are applicable to one reaction, parameter settings allow for user-defined specifications. After invoking SBMLsqueezer, the kinetic formulas are generated and assigned to the model, which can then be simulated in CellDesigner or with external ODE solvers. Furthermore, the equations can be exported to SBML, \LaTeX{} or plain text format. Conclusion: SBMLsqueezer considers the annotation of all participating reactants, products and regulators when generating rate laws for reactions. Thus, for each reaction, only applicable kinetic formulas are considered. This modeling scheme creates kinetics in accordance with the diagrammatic representation. In contrast most previously published tools have relied on the stoichiometry and generic modulators of a reaction, thus ignoring and potentially conflicting with the information expressed through the process diagram. Additional material and the source code can be found at the project homepage (URL found in the Availability and requirements section).},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/draeger/publications/Draeger2008.html},
      doi = {10.1186/1752-0509-2-39},
      pdf = {http://www.biomedcentral.com/content/pdf/1752-0509-2-39.pdf},
      project = {abt_zell, bioinformatics, SBML2LaTeX, SBMLsqueezer},
      url = {http://www.biomedcentral.com/1752-0509/2/39},
}
[4]Timo Schairer and Christian Weiss and Philipp Vorst and Jürgen Sommer and Christian Hoene and Wolfgang Rosenstiel and Wolfgang Straßer and Andreas Zell and Georg Carle and Patrick Schneider and Anette Weisbecker. Integrated Scenario for Machine-Aided Inventory Using Ambient Sensors. In 4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008), Freiburg, Germany,June 10-11, 2008. [url]
Bibtex@INPROCEEDINGS{ambisense2008integrated-scenario-rfid-systech,
      author = {Timo Schairer and Christian Weiss and Philipp Vorst and Jürgen Sommer and Christian Hoene and Wolfgang Rosenstiel and Wolfgang Straßer and Andreas Zell and Georg Carle and Patrick Schneider and Anette Weisbecker},
      title = {Integrated Scenario for Machine-Aided Inventory Using Ambient Sensors},
      booktitle = {4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008)},
      year = {2008},
      number = {209},
      series = {ITG-Fachbericht},
      address = {Freiburg, Germany},
      month = {June 10-11},
      publisher = {VDE Verlag},
      citeseerurl = {http://www.vde-verlag.de/data/buecher.php?action=bookdetail&vertriebsnr=453106&rubrik=ITG-Fachberichte&overview=overview&sort=ERSCHDATUM&direction=DESC&pg=1},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/vorst/publications/ambisense2008integrated-scenario-rfid-systech.html},
      isbn = {978-3-8007-3106-0},
      project = {abt_zell, robotics, ambisense, rfid},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/ambisense2008integrated-scenario-rfid-systech.pdf},
}
[5]Philipp Vorst and Jürgen Sommer and Christian Hoene and Patrick Schneider and Christian Weiss and Timo Schairer and Wolfgang Rosenstiel and Andreas Zell and Georg Carle. Indoor Positioning via Three Different {RF} Technologies. In 4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008), Freiburg, Germany,June 10-11, 2008. [url]
Bibtex@INPROCEEDINGS{ambisense2008positioning-rfid-systech,
      author = {Philipp Vorst and Jürgen Sommer and Christian Hoene and Patrick Schneider and Christian Weiss and Timo Schairer and Wolfgang Rosenstiel and Andreas Zell and Georg Carle},
      title = {Indoor Positioning via Three Different {RF} Technologies},
      booktitle = {4th European Workshop on RFID Systems and Technologies (RFID SysTech 2008)},
      year = {2008},
      number = {209},
      series = {ITG-Fachbericht},
      address = {Freiburg, Germany},
      month = {June 10-11},
      publisher = {VDE Verlag},
      citeseerurl = {http://www.vde-verlag.de/data/buecher.php?action=bookdetail&vertriebsnr=453106&rubrik=ITG-Fachberichte&overview=overview&sort=ERSCHDATUM&direction=DESC&pg=1},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/vorst/publications/ambisense2008positioning-rfid-systech.html},
      isbn = {978-3-8007-3106-0},
      project = {abt_zell, robotics, ambisense, rfid},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/ambisense2008positioning-rfid-systech.pdf},
}
[6]Kanjanawanishkul, Kiattisin and Li, Xiang and Zell, Andreas. Nonlinear Model Predictive Control of Omnidirectional Mobile Robot Formations. In 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 41-48,, Baden-Baden, Germany,July 23-25, 2008. [url]
Bibtex@INPROCEEDINGS{kanjanaw_IAS2008,
      author = {Kanjanawanishkul, Kiattisin and Li, Xiang and Zell, Andreas},
      title = {Nonlinear Model Predictive Control of Omnidirectional Mobile Robot Formations},
      booktitle = {10th International Conference on Intelligent Autonomous Systems (IAS 2008)},
      year = {2008},
      editor = {Dillmann, Rüdiger and Burgard, Wolfram},
      pages = {41-48},
      address = {Baden-Baden, Germany},
      month = {July 23-25},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/Li_Kiat_IAS2008.pdf},
}
[7]Xiang Li and Kiattisin Kanjanawanishkul and Andreas Zell. Nonlinear Model Predictive Control of an Omnidirectional Mobile Robot. In 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 92-99,, Baden-Baden, Germany,July 23-25, 2008. [url]
Bibtex@INPROCEEDINGS{Li_IAS2008,
      author = {Xiang Li and Kiattisin Kanjanawanishkul and Andreas Zell},
      title = {Nonlinear Model Predictive Control of an Omnidirectional Mobile Robot},
      booktitle = {10th International Conference on Intelligent Autonomous Systems (IAS 2008)},
      year = {2008},
      pages = {92-99},
      address = {Baden-Baden, Germany},
      month = {July 23-25},
      publisher = {IOS Press},
      abstract = {This paper focuses on motion control problems of an omnidirectional robot based on the Nonlinear Model Predictive Control (NMPC) method. Although NMPC has been studied in many mobile robots applications due to the advantages of taking the robot constraints into account and increasing the robot performance with future information, the high computational requirement makes NMPC difficult to be utilized in the real systems with fast sampling time. In order to reduce the computational effort, many works either eliminate the computations which are necessary to keep the control stability, or linearize the nonlinear models only with local stability. Lots of research only presents the simulation results with NMPC. The main contributions of this paper are not only to analyze and design NMPC controllers with guaranteed stability to nonlinear kinematic models, but also to show the feasibility of NMPC with a real fast moving omnidirectional robot.},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/LiIAS2008.pdf},
}
[8]Holland, Richard C.~G. and Down, Thomas and Pocock, Matthew and Prli\'{c}, Andreas and Huen, David and James, Keith and Foisy, Sylvain and Dräger, Andreas and Yates, Andy and Heuer, Michael and Schreiber, Mark J.. {BioJava: an open-source framework for bioinformatics}. , pages 2096--2097,aug, 2008. [pdf , url]
Bibtex@ARTICLE{Holland2008,
      author = {Holland, Richard C.~G. and Down, Thomas and Pocock, Matthew and Prli\'{c}, Andreas and Huen, David and James, Keith and Foisy, Sylvain and Dräger, Andreas and Yates, Andy and Heuer, Michael and Schreiber, Mark J.},
      title = {{BioJava: an open-source framework for bioinformatics}},
      journal = {Bioinformatics},
      year = {2008},
      volume = {24},
      pages = {2096--2097},
      number = {18},
      month = {aug},
      abstract = {Motivation: BioJava is a mature open-source project that provides a framework for processing of biological data. BioJava contains powerful analysis and statistical routines, tools for parsing common file formats, and packages for manipulating sequences and 3D structures. It enables rapid bioinformatics application development in the Java programming language. Availability: BioJava is an open-source project distributed under the Lesser GPL (LGPL). BioJava can be downloaded from the BioJava website (\url{http://www.biojava.org}). BioJava requires Java 1.5 or higher. Contact: \url{mailto:andreas.prlic@gmail.com} All queries should be directed to the BioJava mailing lists. Details are available at (\url{http://biojava.org/wiki/BioJava:MailingLists}). Supplementary Information: Full documentation can be found at the BioJava website},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/draeger/publications/Holland2008.html},
      doi = {10.1093/bioinformatics/btn397},
      pdf = {http://bioinformatics.oxfordjournals.org/content/24/18/2096.full.pdf},
      project = {extern, bioinformatics, BioJava},
      url = {http://bioinformatics.oxfordjournals.org/content/24/18/2096.abstract},
}
[9]Volker Gundelach and Michael de Paly and Dieter Eisenburger. Recognition of patterns from geological structures in radar signals with the neuronal network simulator JNNS. In Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on, pages 167 -170,September, 2008.
Bibtex@INPROCEEDINGS{Gundelach08,
      author = {Volker Gundelach and Michael de Paly and Dieter Eisenburger},
      title = {Recognition of patterns from geological structures in radar signals with the neuronal network simulator JNNS},
      booktitle = {Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on},
      year = {2008},
      volume = {3},
      pages = {167 -170},
      month = {September},
      abstract = {Aim of GPR measurements is not only to detect the spatial position of reflecting structures, but also to classify its geological reason. The reflection coefficient of a radar signal depends on the reflecting material. Numerous propeties of the recorded signal can be used to assign a reflection with geology. Necessary is the knowledge about unique parameters for a classification and the validation of the results in a known environment. Data from well explored salt mines allows this validation. Neuronal networks are a good tool to optimize parameter sets or patterns regarding to its relevance for an assignment. A neuronal network consists of simple units which transmit information weighted and directed to the next level. The connections between the units are characterized by activation functions which vary during learning processes. By validating a parameter set it is possible to connect an input level with an output level and creating an associative pattern without knowing the deterministic rules between them. Which parameters of a radar signal are relevant to get a result with this method is the topic of this paper. The neuronal network simulator JNNS used here was developed at the university Stuttgart.},
      doi = {10.1109/ICUWB.2008.4653442},
      keywords = {JNNS;geological structures;ground-penetrating radar;learning processes;neuronal network simulator;pattern recognition;radar signals;reflection coefficient;Java;digital simulation;geology;ground penetrating radar;learning (artificial intelligence);neural nets;pattern recognition;},
      project = {hydrogeo, extern, abt_zell},
}
[10]Kanjanawanishkul, Kiattisin and Zell, Andreas. A model-predictive approach to formation control of omnidirectional mobile robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 2771-2776,, Nice, France,September 22-26, 2008. [url]
Bibtex@INPROCEEDINGS{kanjanaw_IROS2008,
      author = {Kanjanawanishkul, Kiattisin and Zell, Andreas},
      title = {A model-predictive approach to formation control of omnidirectional mobile robots},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008)},
      year = {2008},
      pages = {2771-2776},
      address = {Nice, France},
      month = {September 22-26},
      publisher = {IEEE},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/kanjanaw2008iros.pdf},
}
[11]Kronfeld, Marcel and Weiss, Christian and Zell, Andreas. A Dynamic Swarm for Visual Location Tracking. In 6th International Conference on Ant Colony Optimization and Swarm Intelligence ({ANTS} 2008), pages 203--210,, Brussels, Belgium,sep, 2008. [url]
Bibtex@INPROCEEDINGS{Kron08DynLocAnts,
      author = {Kronfeld, Marcel and Weiss, Christian and Zell, Andreas},
      title = {A Dynamic Swarm for Visual Location Tracking},
      booktitle = {6th International Conference on Ant Colony Optimization and Swarm Intelligence ({ANTS} 2008)},
      year = {2008},
      pages = {203--210},
      address = {Brussels, Belgium},
      month = {sep},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Kron08DynLocAnts},
      owner = {mkron},
      project = {robotics, eva2, optimization, swarm-intelligence, abt_zell},
      timestamp = {2010.03.09},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/Kron08DynLoc.pdf},
}
[12]Philipp Vorst and Sebastian Schneegans and Bin Yang and Andreas Zell. Self-Localization with {RFID} Snapshots in Densely Tagged Environments. In Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 1353--1358,, Nice, France,September 22-26, 2008. [url]
Bibtex@INPROCEEDINGS{vorst2008iros,
      author = {Philipp Vorst and Sebastian Schneegans and Bin Yang and Andreas Zell},
      title = {Self-Localization with {RFID} Snapshots in Densely Tagged Environments},
      booktitle = {Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008)},
      year = {2008},
      pages = {1353--1358},
      address = {Nice, France},
      month = {September 22-26},
      abstract = {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 densely tagged. We therefore employ a recently presented probabilistic fingerprinting technique called RFID snapshots. This method interprets short series of RFID measurements as feature vectors and is able to position a mobile robot after a training phase. It requires no explicit sensor model and is capable of exploiting given tag infrastructures, e.g., provided by supermarket shelves containing labeled products.},
      citeseerurl = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/vorst/publications/vorst2008iros.html},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/vorst/publications/vorst2008iros.html},
      doi = {10.1109/IROS.2008.4650715},
      ee = {http://dx.doi.org/10.1109/IROS.2008.4650715},
      project = {abt_zell, robotics, ambisense, rfid},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/vorst2008iros_snapshots.pdf},
}
[13]Kanjanawanishkul, Kiattisin and Zell, Andreas. Distributed Model Predictive Control for Coordinated Path Following Control of Omnidirectional Mobile Robots. In IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), pages 3120-3125,, Singapore,October 12-15, 2008. [url]
Bibtex@INPROCEEDINGS{kanjanaw_SMC2008,
      author = {Kanjanawanishkul, Kiattisin and Zell, Andreas},
      title = {Distributed Model Predictive Control for Coordinated Path Following Control of Omnidirectional Mobile Robots},
      booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008)},
      year = {2008},
      pages = {3120-3125},
      address = {Singapore},
      month = {October 12-15},
      publisher = {IEEE},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/kanjanaw2008smc.pdf},
}
[14]Wrzodek, Clemens. Modeling transcriptional regulatory networks by integrating expression data and promoter analysis. nov, 2008. [pdf]
Bibtex@Diplomarbeit{Wrzodek2008,
      author = {Wrzodek, Clemens},
      title = {Modeling transcriptional regulatory networks by integrating expression data and promoter analysis},
      school = {University of Tuebingen},
      year = {2008},
      month = {nov},
      abstract = {Die Genexpression ist ein sehr wichtiger Prozess, welcher für die Ausprägung des Verhaltens einer Zelle auf irgendeinen Reiz hin verantwortlich ist. Wäre dieser Prozess komplett vorhersagbar, so könnte zum Beispiel in der Medizin die Wirkung eines Medikamentes deutlich besser abgeschätzt werden. Für solch eine Vorhersage ist es wichtig, die Regulation der Genexpression zu verstehen. Diese wird auf transkriptioneller Ebene durch Transkriptionsfaktoren gesteuert, welche spezifisch an kurze, sogenannte Motive auf der DNA in der Nähe des Gens binden. Es ist bekannt, dass Transkriptionsfaktoren häufig die Genexpression von mehreren Genen regulieren, welche mit hoher Wahrscheinlichkeit funktional verwandt sind. Weiterhin ist bekannt, dass die Regulation der Expression von Genen nicht durch einzelne, sondern durch mehrere Transkriptionsfaktoren bestimmt wird, welche alle in einem kurzen Abschnitt auf der DNA binden und zusammen ein sogenanntes \emph{cis}-regulatorisches Modul (CRM) bilden. In dieser Arbeit wird eine neue Methode vorgestellt, welche CRMs nicht nur aufgrund des Vorhandenseins von Bindemotiven, sondern auch unter Beachtung experimentell gemessener Genexpressionsdaten (in Form eines sogenannten Microarray-Experiments) detektieren kann. Damit ist es möglich, bisher unbekannte Funktionen von Genen präziser als mit bisherigen Ansätzen vorherzusagen. Diese Methode wird auf Datensätzen aus Homo sapiens, Saccharomyces cerevisiae und Arabidopsis thaliana angewendet. Die Ergebnisse werden auf ihre Plausibilität hin überprüft und validiert. Es wird gezeigt, dass insbesondere durch die Hinzunahme von experimentell ermittelten Expressionsdaten die Vorhersage von CRMs deutlich verbessert werden konnte, im Vergleich zu Methoden, welche lediglich die DNA-Sequenzen betrachten. Diese neue Methode wurde in ein Java Programm implementiert, welches öffentlich zugänglich gemacht wird und frei benutzbar ist.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Wrzodek2008},
      pdf = {http://www.cogsys.cs.uni-tuebingen.de/diplomarbeiten/Diplomarbeit_Clemens_Wrzodek.pdf},
      project = {extern},
}
[15]Beigi, Majid and Zell, Andreas. A kernel-based method for local pattern extraction in random process signals. , pages 1238--1247,2008. [url]
Bibtex@ARTICLE{2008_88,
      author = {Beigi, Majid and Zell, Andreas},
      title = {A kernel-based method for local pattern extraction in random process signals},
      journal = {Neurocomputing},
      year = {2008},
      volume = {71},
      pages = {1238--1247},
      project = {abt_zell},
      url = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V10-4RR8YPB-3&_user=1634476&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054037&_version=1&_urlVersion=0&_userid=1634476&md5=c8de9382aeb1d55d88177c40265cc454},
}
[16]Beigi, Majid and Zell, Andreas. A boosting approach for object classification in biosonar based robot navigation. In IEEE International Conference on Robotics and Automation (ICRA2008), pages 3270-3275,2008. [url]
Bibtex@INPROCEEDINGS{2008_89,
      author = {Beigi, Majid and Zell, Andreas},
      title = {A boosting approach for object classification in biosonar based robot navigation},
      booktitle = {IEEE International Conference on Robotics and Automation (ICRA2008)},
      year = {2008},
      pages = {3270-3275},
      project = {abt_zell},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/BeigiICRA2008.pdf},
}
[17]Beigi, Majid and Zell, Andreas. {FIR}-based classifiers for animal behavior classification. In International Joint Conference on Neural Networks (IJCNN2008), pages 977-983,2008. [url]
Bibtex@INPROCEEDINGS{2008_90,
      author = {Beigi, Majid and Zell, Andreas},
      title = {{FIR}-based classifiers for animal behavior classification},
      booktitle = {International Joint Conference on Neural Networks (IJCNN2008)},
      year = {2008},
      pages = {977-983},
      project = {abt_zell},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/publikationen/2008/BeigiIJCNN2008.pdf},
}
[18]Bullinger, D. and Fröhlich, Holger and Klaus, F. and Neubauer, H. and Frickenschmidt, A. and Henneges, Carsten and Zell, Andreas and Laufer, S. and Gleiter, C. H. and Liebich, H. and Kammerer, B.. Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer. , pages 29-34,2008. [url]
Bibtex@ARTICLE{2008_45,
      author = {Bullinger, D. and Fröhlich, Holger and Klaus, F. and Neubauer, H. and Frickenschmidt, A. and Henneges, Carsten and Zell, Andreas and Laufer, S. and Gleiter, C. H. and Liebich, H. and Kammerer, B.},
      title = {Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer},
      journal = {Analytica Chimica Acta},
      year = {2008},
      volume = {618},
      pages = {29-34},
      number = {1},
      abstract = {It is known that patients suffering from cancer diseases excrete increased amounts of modified nucleosides with their urine. Especially methylated nucleosides have been proposed to be potential tumor markers for early diagnosis of cancer. For determination of nucleosides in randomly collected urine samples, the nucleosides were extracted using affinity chromatography and then analyzed via reversed phase high-performance liquid chromatography (HPLC) with UV-detection. Eleven nucleosides were quantified in urine samples from 51 breast cancer patients and 65 healthy women. The measured concentrations were used to train a Support Vector Machine (SVM) and a k-nearest-neighbor classifier (k-NN) to discriminate between healthy control subjects and patients suffering from breast cancer. Evaluations of the learned models by computing the leave-one-out error and the prediction error on an independent test set of 29 subjects (15 healthy, 14 breast cancer patients) showed that by using the eleven nucleosides, the occurrence of breast cancer could be forecasted with 86% specificity and 94% sensitivity when using an SVM and 86% for both specificity and sensitivity with the k-NN model. (C) 2008 Elsevier B.V. All rights reserved.},
      project = {abt_zell, bioinformatics},
      url = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TF4-4SDGR56-1&_user= 1634476&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054037&_version=1&_u rlVersion=0&_userid=1634476&md5=2ed1e7b9969bf4f5226fa1f88844b665},
}
[19]Georg Buscher and Andreas Dengel and Ludger van Elst and Florian Mittag. Generating and Using Gaze-Based Document Annotations. In Proceedings and Extended Abstracts of the Conference on Human Factors in Computing Systems, pages 3045-3050,2008. [pdf]
Bibtex@INPROCEEDINGS{Mittag2008_2,
      author = {Georg Buscher and Andreas Dengel and Ludger van Elst and Florian Mittag},
      title = {Generating and Using Gaze-Based Document Annotations},
      booktitle = {Proceedings and Extended Abstracts of the Conference on Human Factors in Computing Systems},
      year = {2008},
      pages = {3045-3050},
      publisher = {ACM},
      abstract = {In this paper we describe a prototypical system that is able to generate document annotations based on eye movement data. Document parts can be annotated as being read or skimmed. We further explain ideas how such gaze-based document annotations could enhance document-centered office work in the future.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Mittag2008_2},
      pdf = {http://www.ra.cs.uni-tuebingen.de/mitarb/mittag/publications/mittag2008chi_gazeannotations.pdf},
      project = {extern},
}
[20]Frickenschmidt, A. and Fröhlich, Holger and Bullinger, D. and Zell, Andreas and Laufer, S. and Gleiter, C. H. and Liebich, H. and Kammerer, B.. Metabonomics in cancer diagnosis: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients. , pages 435-449,2008. [url]
Bibtex@ARTICLE{2008_48,
      author = {Frickenschmidt, A. and Fröhlich, Holger and Bullinger, D. and Zell, Andreas and Laufer, S. and Gleiter, C. H. and Liebich, H. and Kammerer, B.},
      title = {Metabonomics in cancer diagnosis: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients},
      journal = {Biomarkers},
      year = {2008},
      volume = {13},
      pages = {435-449},
      number = {4},
      abstract = {Modified nucleosides are formed post-transcriptionally in RNA. In cancer disease, the cell turnover and thus RNA metabolism is increased, yielding higher concentrations of excreted modified nucleosides. In the presented study, urinary ribonucleosides were used to differentiate between breast cancer patients and healthy volunteers. The nucleosides were extracted from urine samples using affinity chromatography and subsequently analyzed via liquid chromatography ion trap mass spectrometry (LC-IT-MS). The peak areas were related to the internal standard isoguanosine and to the urinary creatinine level. For bioinformatic pattern recognition we used the support vector machine. We examined 113 urine samples from breast cancer patients (stage Tis-T4) and 99 control samples from healthy volunteers. We achieved a sensitivity of 87.67% and a specificity of 89.90% when including 31 nucleosides. The medical metabonomics concept based on the urinary nucleoside profile reveals a significantly improved classification compared with currently applied breast cancer biomarkers such as CA15-3.},
      comment = {Times Cited: 1},
      project = {abt_zell, bioinformatics},
      url = {http://www.informaworld.com/smpp/content~content=a791845894~db=all~jumptype=rss},
}
[21]H\"{a}ring, Tim and de Paly, Michael and Henneges, Carsten and Hochschild, Volker. Modelling Tsunami Vulnerability. The development of a Tsunami Inundation Model with Machine Learning Tools.. In Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research, pages 182-187,, Heidelberg, Germany,2008.
Bibtex@INPROCEEDINGS{Haering08,
      author = {H\"{a}ring, Tim and de Paly, Michael and Henneges, Carsten and Hochschild, Volker},
      title = {Modelling Tsunami Vulnerability. The development of a Tsunami Inundation Model with Machine Learning Tools.},
      booktitle = {Digital Earth Summit on Geoinformatics 2008: Tools for Global Change Research},
      year = {2008},
      pages = {182-187},
      address = {Heidelberg, Germany},
      publisher = {Wichmann},
      project = {extern, hydrogeo, optimization, abt_zell},
      timestamp = {2010.01.25},
}
[22]Kronfeld, Marcel. {EvA2} Short Documentation. , Sand 1, 72076 Tübingen, Germany,2008. [pdf , url]
Bibtex@MANUAL{EvA2ShortDoc08,
      title = {{EvA2} Short Documentation},
      author = {Kronfeld, Marcel},
      organization = {Center for Bioinformatics Tuebingen, University of Tuebingen},
      address = {Sand 1, 72076 Tübingen, Germany},
      edition = {2008},
      year = {2008},
      pdf = {http://www.cogsys.cs.uni-tuebingen.de/software/EvA2/EvA2Doc/EvA2Doc.pdf},
      project = {abt_zell, eva2, optimization},
      url = {http://www.cogsys.cs.uni-tuebingen.de/software/EvA2/shortdoc.html},
}
[23]Li, Xiang and Zell, Andreas. Nonlinear predictive control of an omnidirectional robot dribbling a rolling ball. In IEEE International Conference on Robotics and Automation (ICRA'08), pages 1678-1683,, Pasadena, California,2008.
Bibtex@INPROCEEDINGS{2008_84,
      author = {Li, Xiang and Zell, Andreas},
      title = {Nonlinear predictive control of an omnidirectional robot dribbling a rolling ball},
      booktitle = {IEEE International Conference on Robotics and Automation (ICRA'08)},
      year = {2008},
      pages = {1678-1683},
      address = {Pasadena, California},
      publisher = {IEEE},
      project = {abt_zell, robotics},
}
[24]Thomas Roth-Berghofer and Florian Mittag. {ReduxExp}: A Justification-based Explanation-Support Server.. In Research and Development in Intelligent Systems XXV. Twenty-eighth SGAI International Conference on Artificial Intelligence (AI-2008), November 9-11, Cambridge, United Kingdom2008. [pdf]
Bibtex@INPROCEEDINGS{Mittag2008_1,
      author = {Thomas Roth-Berghofer and Florian Mittag},
      title = {{ReduxExp}: A Justification-based Explanation-Support Server.},
      booktitle = {Research and Development in Intelligent Systems XXV. Twenty-eighth SGAI International Conference on Artificial Intelligence (AI-2008), November 9-11, Cambridge, United Kingdom},
      year = {2008},
      editor = {Miltos Petridis and Frans Coenen and Max Bramer},
      publisher = {Springer Verlag, London, UK},
      abstract = {Trust in any decision depends on many factors. One way of improving trust is by explaining why a certain decision has been made and how certain actions in the context of a decision have been performed. In order to provide such explanations information systems need a mechanism for recording decisions and actions. The open-source server ReduxExp is such a system. This paper describes the architecture of ReduxExp and first experiences with the system.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Mittag2008_1},
      isbn = {1848821700},
      keywords = {Explanation},
      pdf = {http://www.cogsys.cs.uni-tuebingen.de/mitarb/mittag/publications/mittag2008sgai_reduxexp.pdf},
      project = {extern},
}
[25]Weiss, Christian and Tamimi, Hashem and Zell, Andreas. A combination of vision-and vibration-based terrain classification. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), pages 2204-2209,, Nice, France,2008.
Bibtex@INPROCEEDINGS{2008_77,
      author = {Weiss, Christian and Tamimi, Hashem and Zell, Andreas},
      title = {A combination of vision-and vibration-based terrain classification},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008)},
      year = {2008},
      pages = {2204-2209},
      address = {Nice, France},
      project = {abt_zell, robotics},
}
[26]Weiss, Christian and Zell, Andreas. Novelty Detection and Online Learning for Vibration-based Terrain Classification. In 10th International Conference on Intelligent Autonomous Systems (IAS 2008), pages 16-25,, Baden-Baden, Germany,2008. [url]
Bibtex@INPROCEEDINGS{2008_78,
      author = {Weiss, Christian and Zell, Andreas},
      title = {Novelty Detection and Online Learning for Vibration-based Terrain Classification},
      booktitle = {10th International Conference on Intelligent Autonomous Systems (IAS 2008)},
      year = {2008},
      pages = {16-25},
      address = {Baden-Baden, Germany},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2008/weiss2008ias.pdf},
}
[27]Hua Zhang and Manlu Liu and Ran Liu and Tianlian Hu. {Path Planning of Robot in Three-dimensional Grid Environment based on Genetic Algorithms}. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA 2008), pages 1010--1014,2008. [url]
Bibtex@INPROCEEDINGS{Ran_pathplanning_2008,
      author = {Hua Zhang and Manlu Liu and Ran Liu and Tianlian Hu},
      title = {{Path Planning of Robot in Three-dimensional Grid Environment based on Genetic Algorithms}},
      booktitle = {Proceedings of the World Congress on Intelligent Control and Automation (WCICA 2008)},
      year = {2008},
      pages = {1010--1014},
      days = {June 25-June 27},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Ran_pathplanning_2008},
      project = {extern},
      url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4593059&abstractAccess=no&userType=inst},
}
[28]Hua Zhang and Bo Qiu and Yatao Wang and Ran Liu. {Design and Application of 2D Barcode in Inspection Robots}. 2008. [url]
Bibtex@ARTICLE{Ran_barcode_2008,
      author = {Hua Zhang and Bo Qiu and Yatao Wang and Ran Liu},
      title = {{Design and Application of 2D Barcode in Inspection Robots}},
      journal = {Journal of Huazhong University of Science and Technology},
      year = {2008},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?Ran_barcode_2008},
      project = {extern},
      url = {http://en.cnki.com.cn/Article_en/CJFDTOTAL-HZLG2008S1072.htm},
}