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[1]Tamimi, Hashem and Andreasson, Henrik and Treptow, Andr\'{e} and Duckett, Tom and Zell, Andreas. Localization of Mobile Robots with Omnidirectional Vision Using Particle Filter and Iterative {SIFT}. , pages 758-765,sep, 2006. [url]
Bibtex@ARTICLE{2005_122,
      author = {Tamimi, Hashem and Andreasson, Henrik and Treptow, Andr\'{e} and Duckett, Tom and Zell, Andreas},
      title = {Localization of Mobile Robots with Omnidirectional Vision Using Particle Filter and Iterative {SIFT}},
      journal = {Robotics and Autonomous Systems},
      year = {2006},
      volume = {54},
      pages = {758-765},
      number = {9},
      month = {sep},
      note = {Selected papers from the 2nd European Conference on Mobile Robots (ECMR '05), Ancona, Italy},
      abstract = {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 omnidirectional vision. In this work, we propose a new approach that reduces the number of features generated by SIFT as well as their extraction and matching time. With the help of a Particle Filter, we demonstrate that we can still localize the mobile robot accurately with a lower number of features.},
      doi = {10.1016/j.robot.2006.04.018},
      issn = {0921-8890},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2005/tamimi05-ecmr.pdf},
}
[2]Simon Rieche and Klaus Wehrle and Leo Petrak and Clemens Wrzodek. Cerco: Supporting Range Queries with a Hierarchically Structured Peer-to-Peer System. In Proceedings of 31st IEEE Conference on Local Computer Networks (LCN 2006), Tampa, Florida, USA,November, 2006. [pdf , url]
Bibtex@INPROCEEDINGS{cerco,
      author = {Simon Rieche and Klaus Wehrle and Leo Petrak and Clemens Wrzodek},
      title = {Cerco: Supporting Range Queries with a Hierarchically Structured Peer-to-Peer System},
      booktitle = {Proceedings of 31st IEEE Conference on Local Computer Networks (LCN 2006)},
      year = {2006},
      address = {Tampa, Florida, USA},
      month = {November},
      abstract = {Structured Peer-to-Peer systems are designed for a highly scalable, self organizing, and efficient lookup for data. The key space of the so-called Distributed Hash Tables (DHTs) is partitioned and each partition with its keys and values is assigned to a node in the DHT. For data retrieval however, the very nature of hash tables allows only exact pattern matches. We propose Cerco, a simple solution for the problem of range queries by employing a hierarchically structured P2P approach based on the principles of Distributed Hash Tables. We show that a dynamic hierarchy of DHTs with on-demand classification of items can positively influence the response time of queries while maintaining lookup correctness.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?cerco},
      pdf = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/WrzodekCerco.pdf},
      project = {extern},
      url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4116490&arnumber=4116594&count=192&index=90},
}
[3]Beigi, Majid and Zell, Andreas. A Novel Method for Classifying Subfamilies and Sub-subfamilies of G-Protein Coupled Receptors. In Biological and Medical Data Analysis: 7th International Symposium, ISBMDA 2006, pages 25-36,, Thessaloniki, Greece,dec, 2006. [url]
Bibtex@INPROCEEDINGS{2006_43,
      author = {Beigi, Majid and Zell, Andreas},
      title = {A Novel Method for Classifying Subfamilies and Sub-subfamilies of G-Protein Coupled Receptors},
      booktitle = {Biological and Medical Data Analysis: 7th International Symposium, ISBMDA 2006},
      year = {2006},
      volume = {4345},
      series = {LNBI},
      pages = {25-36},
      address = {Thessaloniki, Greece},
      month = {dec},
      publisher = {Springer},
      abstract = {G-protein coupled receptors (GPCRs) are a large superfamily of integral membrane proteins that transduce signals across the cell membrane. Because of that important property and other physiological roles undertaken by the GPCR family, they have been an important target of therapeutic drugs. The function of many GPCRs is not known and accurate classification of GPCRs can help us to predict their function. In this study we suggest a kernel based method to classify them at the subfamily and sub-subfamily level. To enhance the accuracy and sensitivity of classifiers at the sub-subfamily level that we were facing with a low number of sequences (imbalanced data), we used our new synthetic protein sequence oversampling (SPSO) algorithm and could gain an overall accuracy and Matthew's correlation coefficient (MCC) of 98.4% and 0.98 for class A, nearly 100% and 1 for class B and 96.95% and 0.91 for class C, respectively, at the subfamily level and overall accuracy and MCC of 97.93%, and 0.95 at the sub-subfamily level. The results shows that Our oversampling technique can be used for other applications of protein classification with the problem of imbalanced data.},
      project = {abt_zell, bioinformatics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/BeigiGPCR2006.pdf},
}
[4]Beigi, Majid and Zell, Andreas. {SPSO}: Synthetic Protein Sequence Oversampling for Imbalanced Protein Data and Remote Homology Detection. In Biological and Medical Data Analysis: 7th International Symposium, ISBMDA 2006, pages 104-115,, Thessaloniki, Greece,dec, 2006. [url]
Bibtex@INPROCEEDINGS{2006_44,
      author = {Beigi, Majid and Zell, Andreas},
      title = {{SPSO}: Synthetic Protein Sequence Oversampling for Imbalanced Protein Data and Remote Homology Detection},
      booktitle = {Biological and Medical Data Analysis: 7th International Symposium, ISBMDA 2006},
      year = {2006},
      volume = {4345},
      series = {LNBI},
      pages = {104-115},
      address = {Thessaloniki, Greece},
      month = {dec},
      publisher = {Springer},
      abstract = {Many classifiers are designed with the assumption of well-balanced datasets. But in real problems, like protein classification and remote homology detection, when using binary classifiers like support vector machine (SVM) and kernel methods, we are facing imbalanced data in which we have a low number of protein sequences as positive data (minor class) compared with negative data (major class). A widely used solution to that issue in protein classification is using a different error cost or decision threshold for positive and negative data to control the sensitivity of the classifiers. Our experiments show that when the datasets are highly imbalanced, and especially with overlapped datasets, the efficiency and stability of that method decreases. This paper shows that a combination of the above method and our suggested oversampling method for protein sequences can increase the sensitivity and also stability of the classifier. Our method of oversampling involves creating synthetic protein sequences of the minor class, considering the distribution of that class and also of the major class, and it operates in data space instead of feature space. This method is very useful in remote homology detection, and we used real and artificial data with different distributions and overlappings of minor and major classes to measure the efficiency of our method. The method was evaluated by the area under the Receiver Operating Curve (ROC).},
      project = {abt_zell, bioinformatics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/BeigiSpso2006.pdf},
}
[5]Fröhlich, Holger and Speer, Nora and Spieth, Christian and Zell, Andreas. Kernel Based Functional Gene Grouping. In International Joint Conference on Neural Networks (IJCNN 2006), pages 6886-6891,, Vancouver, Canada,2006.
Bibtex@INPROCEEDINGS{2006_49,
      author = {Fröhlich, Holger and Speer, Nora and Spieth, Christian and Zell, Andreas},
      title = {Kernel Based Functional Gene Grouping},
      booktitle = {International Joint Conference on Neural Networks (IJCNN 2006)},
      year = {2006},
      pages = {6886-6891},
      address = {Vancouver, Canada},
      publisher = {IEEE Press},
      project = {abt_zell, bioinformatics},
}
[6]Heinemann, Patrick and Becker, Hannes and Haase, Jürgen and Zell, Andreas. The Attempto Tübingen Robot Soccer Team 2006. In Robot Soccer World Cup X2006. [url]
Bibtex@INPROCEEDINGS{2006_116,
      author = {Heinemann, Patrick and Becker, Hannes and Haase, Jürgen and Zell, Andreas},
      title = {The Attempto Tübingen Robot Soccer Team 2006},
      booktitle = {Robot Soccer World Cup X},
      year = {2006},
      volume = {4434},
      series = {Lecture Notes in Computer Science},
      publisher = {Springer},
      note = {CD supplement},
      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 with promising innovative algorithms. Apart from the ability to play at changing illumination we present effective methods of ball interception and efficient path planning around dynamically moving objects using sophisticated tracking algorithms. This paper introduces the robot hardware and some of these algorithms.},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/heinemann07attempto.pdf},
}
[7]Heinemann, Patrick and Becker, Hannes and Zell, Andreas. Improved path planning in highly dynamic environments based on time variant potential fields. , pages 177-178,2006. [url]
Bibtex@ARTICLE{2006_112,
      author = {Heinemann, Patrick and Becker, Hannes and Zell, Andreas},
      title = {Improved path planning in highly dynamic environments based on time variant potential fields},
      journal = {VDI BERICHTE},
      year = {2006},
      volume = {1956},
      pages = {177-178},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/heinemann06improved.pdf},
}
[8]Heinemann, Patrick and Haase, Jürgen and Zell, Andreas. A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06), pages 1535-1540,2006. [url]
Bibtex@INPROCEEDINGS{2006_115,
      author = {Heinemann, Patrick and Haase, Jürgen and Zell, Andreas},
      title = {A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06)},
      year = {2006},
      pages = {1535-1540},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/heinemann06combined.pdf},
}
[9]Heinemann, Patrick and Sehnke, Frank and Streichert, Felix and Zell, Andreas. An Automatic Approach to Online Color Training in {RoboCup} Environments. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06), pages 4880-4885,2006. [url]
Bibtex@INPROCEEDINGS{2006_114,
      author = {Heinemann, Patrick and Sehnke, Frank and Streichert, Felix and Zell, Andreas},
      title = {An Automatic Approach to Online Color Training in {RoboCup} Environments},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06)},
      year = {2006},
      pages = {4880-4885},
      project = {abt_zell, robotics, robocup},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/heinemann06automatica.pdf},
}
[10]Heinemann, Patrick and Streichert, Felix and Sehnke, Frank and Zell, Andreas. Automatic Calibration of Camera to World Mapping in RoboCup using Evolutionary Algorithms. In IEEE International Congress on Evolutionary Computing (CEC 2006), pages 4459-4466,2006. [url]
Bibtex@INPROCEEDINGS{2006_113,
      author = {Heinemann, Patrick and Streichert, Felix and Sehnke, Frank and Zell, Andreas},
      title = {Automatic Calibration of Camera to World Mapping in RoboCup using Evolutionary Algorithms},
      booktitle = {IEEE International Congress on Evolutionary Computing (CEC 2006)},
      year = {2006},
      pages = {4459-4466},
      project = {abt_zell, robotics, javaeva},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/heinemann06automatic.pdf},
}
[11]Li, Xiang and Zell, Andreas. Path Following Control for a Mobile Robot Pushing a Ball. In IFAC Symposium on Robot Control (SYROCO 2006)2006. [url]
Bibtex@INPROCEEDINGS{2006_117,
      author = {Li, Xiang and Zell, Andreas},
      title = {Path Following Control for a Mobile Robot Pushing a Ball},
      booktitle = {IFAC Symposium on Robot Control (SYROCO 2006)},
      year = {2006},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/li06push.pdf},
}
[12]Sch\"{u}tze, Niels and W\"{o}hling, Thomas and de Paly, Michael and Schmitz, Gerd. Global optimization of deficit irrigation systems using evolutionary algorithms. In Proceedings of the XVI International Conference on Computational Methods in Water Resources, Copenhagen, Denmark,2006.
Bibtex@INPROCEEDINGS{Schuetze06,
      author = {Sch\"{u}tze, Niels and W\"{o}hling, Thomas and de Paly, Michael and Schmitz, Gerd},
      title = {Global optimization of deficit irrigation systems using evolutionary algorithms},
      booktitle = {Proceedings of the XVI International Conference on Computational Methods in Water Resources},
      year = {2006},
      address = {Copenhagen, Denmark},
      project = {extern, irrigation, hydrogeo, optimization},
      timestamp = {2010.01.25},
}
[13]Spieth, Christian and Hassis, Nadine and Streichert, Felix and Supper, Jochen and Speer, Nora and Beyreuther, Klaus and Zell, Andreas. Comparing Mathematical Models on the Problem of Network Inference. In Genetic and Evolutionary Computation Conference (GECCO 2006), pages 305-306,, Seattle, USA,2006. [url]
Bibtex@INPROCEEDINGS{2006_spieth06comparing,
      author = {Spieth, Christian and Hassis, Nadine and Streichert, Felix and Supper, Jochen and Speer, Nora and Beyreuther, Klaus and Zell, Andreas},
      title = {Comparing Mathematical Models on the Problem of Network Inference},
      booktitle = {Genetic and Evolutionary Computation Conference (GECCO 2006)},
      year = {2006},
      series = {Lecture Notes in Computer Science},
      pages = {305-306},
      address = {Seattle, USA},
      publisher = {Springer},
      abstract = {In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathematical models on the inference problem. They are used to model the underlying dynamic system of artificial regulatory networks. The dynamics of the artificial systems represent different basic types of behavior, dimensionality and mathematical properties. They are all created with three commonly used approaches, namely linear weight matrices, H-systems, and S-systems. Due to the complexity of the inference problem, some researchers suggested evolutionary algorithms for this purpose. However, in many publications only one algorithm is used without any comparison to other optimization methods. Thus, we introduce a framework to systematically apply evolutionary algorithms for further comparative analysis.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2006_spieth06comparing},
      project = {abt_zell, bioinformatics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/spieth06models.pdf},
}
[14]Spieth, Christian and Supper, Jochen and Streichert, Felix and Speer, Nora and Zell, Andreas. {JCell} - a Java-based framework for inferring regulatory networks from time series data. , pages 2051-2052,2006. [url]
Bibtex@ARTICLE{2006_62,
      author = {Spieth, Christian and Supper, Jochen and Streichert, Felix and Speer, Nora and Zell, Andreas},
      title = {{JCell} - a Java-based framework for inferring regulatory networks from time series data},
      journal = {Bioinformatics},
      year = {2006},
      volume = {22},
      pages = {2051-2052},
      number = {16},
      abstract = {Motivation: JCell is a Java-based application for reconstructing gene regulatory networks from experimental data. The framework provides several algorithms to identify genetic and metabolic dependencies based on experimental data conjoint with mathematical models to describe and simulate regulatory systems. Owing to the modular structure, researchers can easily implement new methods. JCell is a pure Java application with additional scripting capabilities and thus widely usable, e.g. on parallel or cluster computers.},
      detailspage = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/LiteraturDB/details.html?2006_62},
      project = {abt_zell, bioinformatics},
      url = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/22/16/2051?etoc},
}
[15]Spieth, Christian and Worzischek, Rene and Streichert, Felix. Comparing evolutionary algorithms on the problem of network inference. In Genetic and Evolutionary Computation Conference (GECCO 2006), pages 305-306,, Seattle, USA,2006. [url]
Bibtex@INPROCEEDINGS{2006_109,
      author = {Spieth, Christian and Worzischek, Rene and Streichert, Felix},
      title = {Comparing evolutionary algorithms on the problem of network inference},
      booktitle = {Genetic and Evolutionary Computation Conference (GECCO 2006)},
      year = {2006},
      pages = {305-306},
      address = {Seattle, USA},
      publisher = {ACM New York, NY, USA},
      abstract = {In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evolutionary algorithms on the inference problem. These algorithms are used to evolve an underlying quantitative mathematical model. The dynamics of the regulatory system are modeled with two commonly used approaches, namely linear weight matrices and S-systems and a novel formulation, namely H-systems. Due to the complexity of the inference problem, some researchers suggested evolutionary algorithms for this purpose. However, in many publications only one algorithm is used without any comparison to other optimization methods. Thus, we introduce a framework to systematically apply evolutionary algorithms and different types of mutation and crossover operators to the inference problem for further comparative analysis.},
      project = {abt_zell, bioinformatics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/spieth06eas.pdf},
}
[16]Gudrun Szalay and Silke Meiners and Antje Voigt and Jörg Lauber and Christian Spieth and Nora Speer and Martina Sauter and Ulrike Kuckelkorn and Andreas Zell and Karin Klingel and Karl Stangl and Reinhard Kandolf. Ongoing coxsackievirus myocarditis is associated with increased formation and activity of myocardial immunoproteasomes. , pages 1542-1552,2006.
Bibtex@ARTICLE{2006_110,
      author = {Gudrun Szalay and Silke Meiners and Antje Voigt and Jörg Lauber and Christian Spieth and Nora Speer and Martina Sauter and Ulrike Kuckelkorn and Andreas Zell and Karin Klingel and Karl Stangl and Reinhard Kandolf},
      title = {Ongoing coxsackievirus myocarditis is associated with increased formation and activity of myocardial immunoproteasomes},
      journal = {American Journal of Pathology},
      year = {2006},
      volume = {168},
      pages = {1542-1552},
      number = {5},
      project = {abt_zell, bioinformatics},
}
[17]Tamimi, Hashem and Halawani, Alaa and Burkhardt, Hans and Zell, Andreas. Appearance-based Localization of Mobile Robots using Local Integral Invariants. In Proceedings of the 9th International Conference on Intelligent Autonomous Systems (IAS-9), pages 181-188,, Tokyo, Japan,2006. [url]
Bibtex@INPROCEEDINGS{2006_262,
      author = {Tamimi, Hashem and Halawani, Alaa and Burkhardt, Hans and Zell, Andreas},
      title = {Appearance-based Localization of Mobile Robots using Local Integral Invariants},
      booktitle = {Proceedings of the 9th International Conference on Intelligent Autonomous Systems (IAS-9)},
      year = {2006},
      editor = {Tamio Arai and Rolf Pfeifer and Tucker R. Balch and Hiroshi Yokoi},
      pages = {181-188},
      address = {Tokyo, Japan},
      publisher = {IOS Press},
      isbn = {1-58603-595-9},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/tamimi06-ias9.pdf},
}
[18]Wegner, Jörg K.. Data Mining und Graph Mining auf molekularen Graphen - Cheminformatik und molekulare Kodierungen für ADME/Tox-QSAR-Analysen. 2006.
Bibtex@PHDTHESIS{2006_69,
      author = {Wegner, Jörg K.},
      title = {Data Mining und Graph Mining auf molekularen Graphen - Cheminformatik und molekulare Kodierungen für ADME/Tox-QSAR-Analysen},
      school = {University of Tuebingen, Germany},
      year = {2006},
      project = {cheminformatics},
      university = {University of Tuebingen},
}
[19]Weiss, Christian and Fröhlich, Holger and Zell, Andreas. Vibration-based terrain classification using support vector machines. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2006), pages 4429-4434,, Beijing, China,2006. [url]
Bibtex@INPROCEEDINGS{2006_111,
      author = {Weiss, Christian and Fröhlich, Holger and Zell, Andreas},
      title = {Vibration-based terrain classification using support vector machines},
      booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2006)},
      year = {2006},
      pages = {4429-4434},
      address = {Beijing, China},
      project = {abt_zell, robotics},
      url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2006/weiss06.pdf},
}
[20]Wrzodek, Clemens. Range queries in hierarchically structured peer-to-peer systems. 2006.
Bibtex@Studienarbeit{Wrzodek2006,
      author = {Wrzodek, Clemens},
      title = {Range queries in hierarchically structured peer-to-peer systems},
      school = {University of Tuebingen},
      year = {2006},
      project = {extern},
}