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2019
  • Simon J. Larsen, Richard Röttger, Harald H. H. W. Schmidt, & Jan Baumbach. (2019). E. coli gene regulatory networks are inconsistent with gene expression data. Nucleic Acids Research, 47(1), 85–92.
  • Alexander Rauch, Anders K. Haakonsson, Jesper G. S. Madsen, Mette Larsen, Isabel Forss, Martin R. Madsen, … Susanne Mandrup. (2019). Osteogenesis depends on commissioning of a network of stem cell transcription factors that act as repressors of adipogenesis. Nature Genetics, 51(4), 716–727.
  • Y. Goegebeur, A. Guillou, & J. Qin. (2019). Bias-corrected estimation for conditional Pareto-type distributions with random right censoring. Extremes.
  • Alexander Rauch, Anders K. Haakonsson, Jesper G. S. Madsen, Mette Larsen, Isabel Forss, Martin R. Madsen, … Susanne Mandrup. (2019). Author Correction: Osteogenesis depends on commissioning of a network of stem cell transcription factors that act as repressors of adipogenesis (Nature Genetics, (2019), 51, 4, (716-727), 10.1038/s41588-019-0359-1). Nature Genetics, 51(4), 766.
2018
  • Felix Iglesias Vazquez, Tanja Zseby, & Arthur Zimek. (2018). Outlier detection based on low density models. In J. Yu, Z. Li, H. Tong, & F. Zhu (Eds.), Proceedings of the 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 (pp. 970–979). IEEE Press.
  • Vella Veronica Somoza Sanchez, Frederik Andersen, Peter Schneider-Kamp, & René Chester Goduscheit. (2018). Design thinking for website optimization. A case study..
  • Youcef Djenouri, & Arthur Zimek. (2018). Outlier Detection in Urban Traffic Data. In C. Badica, R. Akerkar, M. Ivanovic, M. Savic, M. Radovanovic, S.-W. Kim, … Y. Manolopoulos (Eds.), Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018. United States: Association for Computing Machinery.
  • Michael E. Houle, Erich Schubert, & Arthur Zimek. (2018). On the Correlation Between Local Intrinsic Dimensionality and Outlierness. In S. Marchand-Maillet, Y. N. Silva, & E. Chávez (Eds.), Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings (pp. 177–191). Springer VS.
  • Christian Wiwie, Jan Baumbach, & Richard Röttger. (2018). Guiding biomedical clustering with ClustEval. Nature Protocols (Print), 13(6), 1429–1444.
  • Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, & Ricardo J. G. B. Campello. (2018). A unified framework of density-based clustering for semi-supervised classification. In Proceedings of the 30th International Conference on Scientific and Statistical Database Management. United States: Association for Computing Machinery.
  • Syed S. Hassan, Syed B. Jamal, Leandro G. Radusky, Sandeep Tiwari, Asad Ullah, Javed Ali, … Vasco A. C. Azevedo. (2018). The druggable pocketome of Corynebacterium diphtheriae: A new approach for in silico putative druggable targets. Frontiers in Genetics, 9.
  • Mikael Escobar-Bach, Yuri Goegebeur, & Armelle Guillou. (2018). Local robust estimation of the pickands dependence function. Annals of Statistics, 46(6A), 2806–2843.
  • Christian Wiwie, Alexander Rauch, Anders Haakonsson, Inigo Barrio-Hernandez, Blagoy Blagoev, Susanne Mandrup, … Jan Baumbach. (2018). Elucidation of time-dependent systems biology cell response patterns with time course network enrichment. Arxiv.org.
  • Mikael Escobar-Bach, Yuri Goegebeur, & Armelle Guillou. (2018). Local estimation of the conditional stable tail dependence function. Scandinavian Journal of Statistics, 45(3), 590–617.
  • Youcef Djenouri, Arthur Zimek, & Marco Chiarandini. (2018). Outlier Detection in Urban Traffic Flow Distributions. In 2018 IEEE International Conference on Data Mining (pp. 935–940). United States: IEEE.
  • L. Cruz-Filipe, J. Marques-Silva, & P. Schneider-Kamp. (2018). Formally Verifying the Solution to the Boolean Pythagorean Triples Problem. Journal of Automated Reasoning.
  • Arthur Zimek, & Peter Filzmoser. (2018). There and back again: Outlier detection between statistical reasoning and data mining algorithms. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1280.
  • Guilherme Oliveira Campos, Arthur Zimek, & Wagner Meira Jr. (2018). An Unsupervised Boosting Strategy for Outlier Detection Ensembles. In D. Phung, V. S. Tseng, G. I. Webb, B. Ho, M. Ganji, & L. Rashidi (Eds.), Advances in Knowledge Discovery and Data Mining (Vol. 10937, pp. 564–576). Germany: Springer.
  • Tobias Frisch, Jonatan Møller Gøttcke, Richard Röttger, Qihua Tan, & Jan Baumbach. (2018). DiMmer: Discovery of Differentially Methylated Regions in Epigenome-Wide Association Study (EWAS) Data. In H. Mamitsuka (Ed.), Data Mining for Systems Biology (pp. 51–62). United States: Humana Press.
  • Guilherme Oliveira Campos, Wagner Meira Jr., & Arthur Zimek. (2018). Outlier Detection in Graphs: On the Impact of Multiple Graph Models. In Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics. United States: Association for Computing Machinery.
  • Vella Veronica Somoza Sanchez, Peter Schneider-Kamp, & René Chester Goduscheit. (2018). The ‘gravitational sink’ for big data exploration.
2017
  • Peer Kröger, & Arthur Zimek. (2017). Subspace Clustering Techniques. In L. Liu & T. Öszu (Eds.), Encyclopedia of Database Systems (2. ed.). Germany: Springer.
  • Jesper Hansen, Hans Christian Petersen, Karin Margarita Frei, Patrice Courtaud, Anne-marie Tillier, Anders Fischer, & Morten Allentoft. (2017). The Maglemosian skeleton from Koelbjerg, Denmark revisited: identifying sex and provenance. Danish Journal of Archaeology, 6(1), 50–66.
  • Arthur Zimek, & Erich Schubert. (2017). Outlier Detection. In L. Liu & T. Öszu (Eds.), Encyclopedia of Database Systems. Germany: Springer.
  • Mikael Escobar-Bach, Yuri Goegebeur, Armelle Guillou, & Alexandre You. (2017). Bias-corrected and robust estimation of the bivariate stable tail dependence function. Test, 26(2), 284–307.
  • Daniel Basaran, Eirini Ntoutsi, & Arthur Zimek. (2017). Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets. In Proceedings of the 2017 SIAM International Conference on Data Mining (Vol. 17, pp. 390–398). United States: Society for Industrial and Applied Mathematics.
  • Marco Chiarandini, Rolf Fagerberg, & Stefano Gualandi. (2017). Handling preferences in student-project allocation. Annals of Operations Research, 275(1), 39–78.
  • Fernando Colchero, Alix Eva Aliaga, Owen R. Jones, & Dalia A. Conde. (2017). Individual heterogeneity determines sex differences in mortality in a monogamous bird with reversed sexual dimorphism. Journal of Animal Ecology, 86(4), 899–907.
  • Maren Rebke, Peter H. Becker, & Fernando Colchero. (2017). Better the devil you know: common terns stay with a previous partner although pair bond duration does not affect breeding output. Proceedings of the Royal Society B: Biological Sciences, 284(1846), 20161424.
  • M. Codish, L. Cruz-Filipe, M. Nebel, & P. Schneider-Kamp. (2017). Optimizing sorting algorithms by using sorting networks. Formal Aspects of Computing, 29(3), 559–579.
  • Evelyn Kirner, Erich Schubert, & Arthur Zimek. (2017). Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. In C. Beecks, F. Borutta, P. Kröger, & T. Seidl (Eds.), Proceedings of the 10th International Conference on Similarity Search and Applications (pp. 173–187). Germany: Springer.
  • Yuri Goegebeur, Armelle Guillou, & Michael Osmann. (2017). A local moment type estimator for an extreme quantile in regression with random covariates. Communications in Statistics: Theory and Methods, 46(1), 319–343.
  • Syed Babar Jamal, Syed Shah Hassan, Sandeep Tiwari, Marcus V. Viana, Leandro De Jesus Benevides, Asad Ullah, … Vasco A. C. Azevedo. (2017). An integrative in-silico approach for therapeutic target identification in the human pathogen Corynebacterium diphtheriae. P L o S One, 12(10).
  • Christian Wiwie, & Richard Röttger. (2017). On the Power and Limits of Sequence Similarity Based Clustering of Proteins Into Families. In R. B. Altman, A. K. Dunker, L. Hunter, M. Ritchie, T. Murray, & T. Klein (Eds.), Biocomputing 2017 (pp. 39–50). World Scientific.
  • Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, & Arthur Zimek. (2017). Dimensional testing for reverse k-nearest neighbor search. In Proceedings of the VLDB Endowment (Vol. 10, pp. 769–780). VLDB Endowment.
  • Eudes Barbosa, Richard Rottger, Anne-Christin Hauschild, Siomar de Castro Soares, Sebastian Boecker, Vasco Azevedo, & Jan Baumbach. (2017). LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis. Journal of Integrative Bioinformatics, 14(2).
  • Luis Cruz-Filipe, & Peter Schneider-Kamp. (2017). Formally Proving the Boolean Triples Conjecture. In T. Eiter & D. Sands (Eds.), Proceedings of LPAR-21 (pp. 509–522). EasyChair Publications.
  • Yuri Goegebeur, Armelle Guillou, & Jing Qin. (2017). On kernel estimation of the second order rate parameter in multivariate extreme value statistics. Statistics & Probability Letters, 128, 35–43.
  • Diogo Marinho Almeida, Ida Uhrenfeldt Skov, Artur Silva, Fabio Vandin, Qihua Tan, Richard Röttger, & Jan Baumbach. (2017). Efficient detection of differentially methylated regions using DiMmeR. Bioinformatics, 33(4), 549–551.
  • Christian Wiwie, Alexander Rauch, Anders Haakonsson, Inigo Barrio-Hernandez, Blagoy Blagoev, Susanne Mandrup, … Jan Baumbach. (2017). Elucidation of time-dependent systems biology cell response patterns with time course network enrichment. ArXiv Preprint ArXiv:1710.10262.
2016
  • Jan Beirlant, Mikael Escobar-Bach, Yuri Goegebeur, & Armelle Guillou. (2016). Bias-corrected estimation of stable tail dependence function. Journal of Multivariate Analysis, 143(C), 453–466.
  • Edson Luiz Folador, Paulo Vinícius Sanches Daltro de Carvalho, Wanderson Marques Silva, Rafaela Salgado Ferreira, Artur Silva, Michael Gromiha, … Richard Röttger. (2016). In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein: protein interaction networks. B M C Systems Biology, 10.
  • Mubo Chen, Jan Baumbach, Fabio Vandin, Richard Röttger, Eudes Guilherme Vieira Barbosa, Mingchui Dong, … Qihua Tan. (2016). Differentially Methylated Genomic Regions in Birth-Weight Discordant Twin Pairs. Annals of Human Genetics, 80(2), 81–87.
  • Tertius de Wet, Yuri Goegebeur, Armelle Guillou, & Michael Osmann. (2016). Kernel regression with Weibull-type tails. Annals of the Institute of Statistical Mathematics, 68(5), 1135–1162.
  • Lorne Swersky, Henrique O. Marques, Jörg Sander, Ricardo J. G. B. Campello, & Arthur Zimek. (2016). On the Evaluation of Outlier Detection and One-Class Classification Methods. In R. Bilof (Ed.), 3rd IEEE International Conference on Data Science and Advanced Analytics (Vol. 2016, pp. 1–10). IEEE Press.
  • G. O. Campos, A. Zimek, J. Sander, R. J. G. B. Campello, B. Micenková, E. Schubert, … M. E. Houle. (2016). On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. In Proceedings of the LWDA 2016 Workshops: KDML, FGWM, FGIR, and FGDB, Potsdam, Germany (p. 234).
  • Christophe Dutang, Yuri Goegebeur, & Armelle Guillou. (2016). Robust and Bias-Corrected Estimation of the Probability of Extreme Failure Sets. Sankhya. Series A, 78(1), 52–86.
  • Richard Röttger. (2016). Clustering of Biological Datasets in the Era of Big Data. Journal of Integrative Bioinformatics, 13(1).
  • F. Colchero, R. Rau, O. R. Jones, J. A. Barthold, D. A. Conde, A. Lenart, … J. W. Vaupel. (2016). The emergence of longevous populations. Proceedings of the National Academy of Sciences of the United States of America, 113(48), E7681–E7690.
  • Guilherme O. Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, … Michael E. Houle. (2016). On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov., 30(4), 891–927.
  • Pablo A. Jaskowiak, Davoud Moulavi, Antonio C. S. Furtado, Ricardo J. G. B. Campello, Arthur Zimek, & Jörg Sander. (2016). On strategies for building effective ensembles of relative clustering validity criteria. Knowl. Inf. Syst., 47(2), 329–354.
  • Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, & Arthur Zimek. (2016). MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. SIGKDD Explorations, 18(1), 35–38.
  • Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2016). The (black) art of runtime evaluation: Are we comparing algorithms or implementations?. Knowledge and Information Systems.
  • Kucharík M, Hofacker IL, Stadler PF, & Qin J. (2016). Pseudoknots in RNA folding landscapes.. Bioinformatics (Oxford, England).
  • Berto S, Perdomo-Sabogal A, Gerighausen D, Qin J, & Nowick K. (2016). A Consensus Network of Gene Regulatory Factors in the Human Frontal Lobe.. Frontiers in Genetics.
  • M. Codish, L. Cruz-Filipe, M. Frank, & P. Schneider-Kamp. (2016). Sorting nine inputs requires twenty-five comparisons. Journal of Computer and System Sciences, 82(3), 551–563.
  • Patrice Courtaud, Hans Christian Petersen, Aurelie Zemour, Franck Leandri, & Joseph Cesari. (2016). The Mesolithic burial of Campu Stefanu (Corsica, France). In J. Grünberg, B. Gramsch, L. Larsson, J. Orschiedt, & H. Meller (Eds.), Mesolithic Burials - Rites, symbols and social organisation of early postglacial communities (pp. 719–731).
  • Diogo Marinho Almeida, Ida Uhrenfeldt Skov, Jesper Lund, Afsaneh Mohammadnejad, Artur Silva, Fabio Vandin, … Richard Röttger. (2016). Jllumina: A comprehensive Java-based API for statistical Illumina Infinium HumanMethylation450 and MethylationEPIC data processing. Journal of Integrative Bioinformatics, 13(4).
2015
  • Vinicius A. C. Abreu, Sintia Almeida, Sandeep Tiwari, Syed Shah Hassan, Diego Mariano, Artur Silva, … Richard Röttger. (2015). CMRegNet-An interspecies reference database for corynebacterial and mycobacterial regulatory networks. B M C Genomics, 16, 452.
  • Yuri Goegebeur, Armelle Guillou, & Gilles Stupfler. (2015). Uniform asymptotic properties of a nonparametric regression estimator of conditional tails. Annales De l’Institut Henri Poincaré, Probabilités Et Statistiques, 51(3), 1190–1213.
  • Luis Cruz-Filipe, Michael Franz, Artavazd Hakhverdyan, Marta Ludovico, Isabel Nunes, & Peter Schneider-Kamp. (2015). repAIrC: A Tool for Ensuring Data Consistency by Means of Active Integrity Constraints. In A. Fred, J. Dietz, D. Aveiro, K. Liu, & J. Filipe (Eds.), Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K2015) (Vol. 3, pp. 17–26). SCITEPRESS Digital Library.
  • Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Züfle, Klaus Arthur Schmid, & Arthur Zimek. (2015). A Framework for Clustering Uncertain Data. Proceedings of the VLDB Endowment, 8(12), 1976–1979.
  • Yuri Goegebeur, Armelle Guillou, & Theo Rietsch. (2015). Robust conditional Weibull-type estimation. Annals of the Institute of Statistical Mathematics, 67(3), 479–514.
  • Erich Schubert, Michael Weiler, & Arthur Zimek. (2015). Outlier Detection and Trend Detection: Two Sides of the Same Coin. In IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015 (pp. 40–46). United States: IEEE Computer Society Press.
  • Erich Schubert, Arthur Zimek, & Hans-Peter Kriegel. (2015). Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. In M. Renz, C. Shahabi, X. Zhou, & M. A. Cheema (Eds.), Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015, Proceedings, Part II (Vol. 9050, pp. 19–36). Germany: Springer.
  • Henrique O. Marques, Ricardo J. G. B. Campello, Arthur Zimek, & Jörg Sander. (2015). On the internal evaluation of unsupervised outlier detection. In A. Gupta & S. L. Rathbun (Eds.), Proceedings of the 27th International Conference on Scientific and Statistical Database Management, SSDBM ’15, La Jolla, CA, USA, June 29 - July 1, 2015 (pp. 1–12). United States: Association for Computing Machinery.
  • Christian Wiwie, Jan Baumbach, & Richard Röttger. (2015). Comparing the performance of biomedical clustering methods. Nature Methods, 12(11), 1033–1038.
  • R. Salguero-Gómez, O. R. Jones, C. R. Archer, Y. M. Buckley, J. Che-Castaldo, H. Caswell, … J. W. Vaupel. (2015). The compadre Plant Matrix Database: An open online repository for plant demography. Journal of Ecology, 103(1), 202–218.
  • Arthur Zimek, & Jilles Vreeken. (2015). The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. Machine Learning, 98(1-2), 121–155.
  • Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, & Jörg Sander. (2015). Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. TKDD, 10(1), 5.
  • M. Codish, L. Cruz-Filipe, & P. Schneider-Kamp. (2015). The quest for optimal sorting networks: Efficient generation of two-layer prefixes. Proceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014, 359–366.
  • Y. Goegebeur, A. Guillou, & M. Osmann. (2015). An estimator for the tail index of an integrated conditional Pareto-Weibull-type model. Statistics & Probability Letters, 103, 8–16.
2014
  • Eudes Barbosa, Richard Röttger, Anne-Christin Hauschild, Vasco Azevedo, & Jan Baumbach. (2014). On the limits of computational functional genomics for bacterial lifestyle prediction. Briefings in Functional Genomics, 13(5), 398–408.
  • J. Baumbach, & Richard Röttger. (2014). Computational Integrative Biology–on the joint analysis of diverse biological data sets. Integrative Biology, 6(11), 1008–1009.
  • Yuri Goegebeur, Armelle Guillou, & Michael Osmann. (2014). A local moment type estimator for the extreme value index in regression with random covariates. Canadian Journal of Statistics, 42(3), 487–507.
  • Yuri Goegebeur, Armelle Guillou, & Christophe Dutang. (2014). Robust and unbiased estimation of the coefficient of tail dependence. Insurance: Mathematics and Economics, 57, 46–57.
  • D. Vu, S. Szoke, Christian Wiwie, Jan Baumbach, G. Cardinali, Richard Röttger, & V. Robert. (2014). Massive fungal biodiversity data re-annotation with multi-level clustering. Scientific Reports, 4.
  • F. Colchero, & R. Schaible. (2014). Mortality as a bivariate function of age and size in indeterminate growers. Ecosphere, 5(12).
  • Arthur Zimek, Ira Assent, & Jilles Vreeken. (2014). Frequent Pattern Mining Algorithms for Data Clustering. In C. C. Aggarwal & J. Han (Eds.), Frequent Pattern Mining (pp. 403–423). Springer.
  • Jundong Li, Jörg Sander, Ricardo J. G. B. Campello, & Arthur Zimek. (2014). Active Learning Strategies for Semi-Supervised DBSCAN. In M. Sokolova & P. van Beek (Eds.), Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings (Vol. 8436, pp. 179–190). Springer.
  • Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, & Randy Goebel. (2014). Model Selection for Semi-Supervised Clustering. In S. Amer-Yahia, V. Christophides, A. Kementsietsidis, M. N. Garofalakis, S. Idreos, & V. Leroy (Eds.), Proceedings of the 17th International Conference on Extending Database Technology, EDBT 2014, Athens, Greece, March 24-28, 2014. (pp. 331–342). OpenProceedings.org.
  • Xuan Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, & Erich Schubert. (2014). Discriminative features for identifying and interpreting outliers. In I. F. Cruz, E. Ferrari, Y. Tao, E. Bertino, & G. Trajcevski (Eds.), IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014 (pp. 88–99). IEEE Computer Society.
  • Andreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, & Matthias Renz. (2014). Representative clustering of uncertain data. In S. A. Macskassy, C. Perlich, J. Leskovec, W. Wang, & R. Ghani (Eds.), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’14, New York, NY, USA - August 24 - 27, 2014 (pp. 243–252). ACM.
  • Davoud Moulavi, Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, & Jörg Sander. (2014). Density-Based Clustering Validation. In M. J. Zaki, Z. Obradovic, P.-N. Tan, A. Banerjee, C. Kamath, & S. Parthasarathy (Eds.), Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 (pp. 839–847). SIAM.
  • Erich Schubert, Arthur Zimek, & Hans-Peter Kriegel. (2014). Generalized Outlier Detection with Flexible Kernel Density Estimates. In M. J. Zaki, Z. Obradovic, P.-N. Tan, A. Banerjee, C. Kamath, & S. Parthasarathy (Eds.), Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 (pp. 542–550). SIAM.
  • Arthur Zimek, Ricardo J. G. B. Campello, & Jörg Sander. (2014). Data perturbation for outlier detection ensembles. In C. S. Jensen, H. Lu, T. B. Pedersen, C. Thomsen, & K. Torp (Eds.), Conference on Scientific and Statistical Database Management, SSDBM ’14, Aalborg, Denmark, June 30 - July 02, 2014 (pp. 13:1–13:12). ACM.
  • Erich Schubert, Arthur Zimek, & Hans-Peter Kriegel. (2014). Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection. Data Min. Knowl. Discov., 28(1), 190–237.
  • Kucharík M, Hofacker IL, Stadler PF, & Qin J. (2014). Basin Hopping Graph: a computational framework to characterize RNA folding landscapes.. Bioinformatics (Oxford, England).
  • Qin J, Fricke M, Marz M, Stadler PF, & Backofen R. (2014). Graph-distance distribution of the Boltzmann ensemble of RNA secondary structures.. Algorithms for Molecular Biology : AMB.
  • M. Codish, L. Cruz-Filipe, M. Frank, & P. Schneider-Kamp. (2014). Twenty-Five Comparators Is Optimal When Sorting Nine Inputs (and Twenty-Nine for Ten). Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2014-December, 186–193.
  • Marco Chiarandini, Niels Hvidberg Kjeldsen, & Napoleao Vieira Nepomuceno. (2014). Integrated Planning of Biomass Inventory and Energy Production. I E E E Transactions on Computers, 63(1), 102–114.
  • Yuri Goegebeur, Armelle Guillou, & Andrehette Verster. (2014). Robust and asymptotically unbiased estimation of extreme quantiles for heavy tailed distributions. Statistics & Probability Letters, 87, 108–114.
  • Patrice Courtaud, Joseph Cesari, Franck Leandri, Paul Nebbia, Thomas Perrin, Hans Christian Petersen, & Aurélie Zemour. (2014). La sépulture mésolithique de Campu Stefanu (Sollacaro, Corse-du-Sud, France). In I. Sénépart, F. Leandri, J. Cauliez, T. Perrin, & Éric Thirault (Eds.), Chronologie de la Préhistoire récente dans le Sud de la France. Acquis 1992-2012. Actualité de la recherche. (pp. 275–287). Archives d’Écologie Préhistorique.
  • Peng Sun, Nora K. Speicher, Richard Röttger, Jiong Guo, & Jan Baumbach. (2014). Bi-Force: large-scale bicluster editing and its application to gene expression data biclustering. Nucleic Acids Research, 42(9), e78.
  • Goksel Misirli, Jennifer Hallinan, Richard Röttger, Jan Baumbach, & Anil Wipat. (2014). BacillusRegNet: a transcriptional regulation database and analysis platform for Bacillus species. Journal of Integrative Bioinformatics, 11(2), 244.
  • C. Dutang, Y. Goegebeur, & A. Guillou. (2014). Robust and bias-corrected estimation of the coefficient of tail dependence. Insurance: Mathematics and Economics, 57, 46–57.
  • Richard Röttger. (2014). Active transitivity clustering of large-scale biomedical datasets.
2013
  • Yuri Goegebeur, & Armelle Guillou. (2013). Asymptotically unbiased estimation of the coefficient of tail dependence. Scandinavian Journal of Statistics, 40, 174–189.
  • Edward Ip, Geert Molenberghs, Shyh-Huei Chen, Yuri Goegebeur, & Paul De Boeck. (2013). Functionally unidimensional item response models for multivariate binary data. Multivariate Behavioral Research, 48, 534–562.
  • Yuri Goegebeur, Zofia Psiosik, Louise Klitkou, Rudy Steffensen, & Ole Bjarne Christiansen. (2013). Plasma TNF-alpha levels are higher in early pregnancy in patients with secondary compared with primary recurrent miscarriage. American Journal of Reproductive Immunology, 70(5), 347–358.
  • Goedele Dierckx, Yuri Goegebeur, & Armelle Guillou. (2013). An asymptotically unbiased minimum density power divergence estimator for the Pareto-tail index. Journal of Multivariate Analysis, 121, 70–86.
  • Richard Röttger, Prabhav Kalaghatgi, Peng Sun, Siomar de Castro Soares, Vasco Azevedo, Tobias Wittkop, & Jan Baumbach. (2013). Density parameter estimation for finding clusters of homologous proteins-tracing actinobacterial pathogenicity lifestyles. Bioinformatics, 29(2), 215–222.
  • Arthur Zimek. (2013). Clustering High-Dimensional Data. In Data Clustering: Algorithms and Applications (pp. 201–230).
  • Arthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, & Jörg Sander. (2013). Subsampling for efficient and effective unsupervised outlier detection ensembles. In I. S. Dhillon, Y. Koren, R. Ghani, T. E. Senator, P. Bradley, R. Parekh, … R. Uthurusamy (Eds.), The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 (pp. 428–436). ACM.
  • Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, & Arthur Zimek (Eds.). (2013). Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. ACM.
  • Elke Achtert, Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2013). Interactive data mining with 3D-parallel-coordinate-trees. In K. A. Ross, D. Srivastava, & D. Papadias (Eds.), Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013 (pp. 1009–1012). ACM.
  • Erich Schubert, Arthur Zimek, & Hans-Peter Kriegel. (2013). Geodetic Distance Queries on R-Trees for Indexing Geographic Data. In M. A. Nascimento, T. K. Sellis, R. Cheng, J. Sander, Y. Zheng, H.-P. Kriegel, … C. Sengstock (Eds.), Advances in Spatial and Temporal Databases - 13th International Symposium, SSTD 2013, Munich, Germany, August 21-23, 2013. Proceedings (Vol. 8098, pp. 146–164). Springer.
  • Ricardo J. G. B. Campello, Davoud Moulavi, Arthur Zimek, & Jörg Sander. (2013). A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Min. Knowl. Discov., 27(3), 344–371.
  • Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, & Gao Cong. (2013). A survey on enhanced subspace clustering. Data Min. Knowl. Discov., 26(2), 332–397.
  • Arthur Zimek, Ricardo J. G. B. Campello, & Jörg Sander. (2013). Ensembles for unsupervised outlier detection: challenges and research questions a position paper. SIGKDD Explorations, 15(1), 11–22.
  • Qin J, & Reidys CM. (2013). On topological RNA interaction structures.. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology.
  • Lorenz R, Bernhart SH, Qin J, Höner zu Siederdissen C, Tanzer A, Amman F, … Stadler PF. (2013). 2D meets 4G: G-quadruplexes in RNA secondary structure prediction.. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
  • R. Backofen, M. Fricke, M. Marz, J. Qin, & P. F. Stadler. (2013). Distribution of graph-distances in Boltzmann ensembles of RNA secondary structures. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8126 LNBI, 112–125.
  • J. Giesl, T. Ströder, P. Schneider-Kamp, F. Emmes, & C. Fuhs. (2013). Symbolic evaluation graphs and term rewriting - A general methodology for analyzing logic programs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7844 LNCS, 1.
  • Anderson R. Santos, Vanessa Bastos Pereira, Eudes Barbosa, Jan Baumbach, Josch Pauling, Richard Röttger, … Vasco Azevedo. (2013). Mature Epitope Density - A strategy for target selection based on immunoinformatics and exported prokaryotic proteins. B M C Genomics, 14(suppl. 6), 1–11.
  • Marco Chiarandini. (2013). A Web Platform for Problem Solving Competitions. In B. Wallstedt & R. Troelsen (Eds.), Assessment, Feedback and Learning Conference (p. 6).
  • Yuri Goegebeur, Armelle Guillou, & Gilles Stupfler. (2013). Uniform asymptotic properties of a nonparametric regression estimator of conditional tails (WorkingPaper).
  • Erik Kristensen, Matthieu Delefosse, Cintia Organo Quintana, Gary Thomas Banta, Hans Christian Petersen, & Bent Jørgensen. (2013). Distribution pattern of benthic invertebrates in Danish estuaries: The use of Taylor’s power law as a species-specific indicator of dispersion and behavior. Journal of Sea Research, 77, 70–78.
  • Dalia A. Conde, Fernando Colchero, Markus Gusset, Paul Pearce-Kelly, Onnie Byers, Nate Flesness, … Owen R. Jones. (2013). Zoos through the Lens of the IUCN Red List: A Global Metapopulation Approach to Support Conservation Breeding Programs. PLoS ONE, 8(12), e80311.
2012
  • Richard Röttger, Ulrich Ruckert, Jan Taubert, & Jan Baumbach. (2012). How Little Do We Actually Know? - On the Size of Gene Regulatory Networks. I E E E - A C M Transactions on Computational Biology and Bioinformatics, 9(5), 1293–1300.
  • Richard Röttger, C. Kreutzer, T. D. Vu, T. Wittkop, & Jan Baumbach. (2012). Online transitivity clustering of biological data with missing values. In S. Böcker, F. Hufsky, K. Scheubert, J. Schleicher, & S. Schuster (Eds.), German Conference on Bioinformatics 2012, GCB 2012 (pp. 57–68). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
  • Josch Pauling, Richard Röttger, Andreas Neuner, Heladia Salgado, Julio Collado-Vides, Prabhav Kalaghatgi, … Jan Baumbach. (2012). On the trail of EHEC/EAEC–unraveling the gene regulatory networks of human pathogenic Escherichia coli bacteria. Integrative Biology, 4(7), 728–733.
  • Yuri Goegebeur, Tertius de Wet, & Maria Reimert Munch. (2012). Asymptotically unbiased estimation of the second order tail parameter. Statistics & Probability Letters, 82, 565–573.
  • Marco Chiarandini, Niels Hvidberg Kjeldsen, & Napoleao Vieira Nepomuceno. (2012). Integrated planning of biomass inventory and energy production.
  • Yuri Goegebeur, & Tertius de Wet. (2012). Local estimation of the second order parameter in extreme value statistics and local unbiased estimation of the tail index. Communications in Statistics: Theory and Methods, 41, 3575–3607.
  • Josch Pauling, Richard Röttger, Andreas Tauch, Vasco Azevedo, & Jan Baumbach. (2012). CoryneRegNet 6.0: Updated database content, new analysis methods and novel features focusing on community demands. Nucleic Acids Research, 40(Database Issue), D610–4.
  • F. Colchero, O. R. Jones, & M. Rebke. (2012). BaSTA: An R package for Bayesian estimation of age-specific survival from incomplete mark-recapture/recovery data with covariates. Methods in Ecology and Evolution, 3(3), 466–470.
  • Fernando Colchero, & James S. Clark. (2012). Bayesian inference on age-specific survival for censored and truncated data. Journal of Animal Ecology, 81(1), 139–149.
  • Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2012). Evaluation of Clusterings - Metrics and Visual Support. In A. Kementsietsidis & M. A. V. Salles (Eds.), IEEE 28th International Conference on Data Engineering (ICDE 2012), Washington, DC, USA (Arlington, Virginia), 1-5 April, 2012 (pp. 1285–1288). IEEE Computer Society.
  • Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2012). Outlier Detection in Arbitrarily Oriented Subspaces. In M. J. Zaki, A. Siebes, J. X. Yu, B. Goethals, G. I. Webb, & X. Wu (Eds.), 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 (pp. 379–388). IEEE Computer Society.
  • Emmanuel Müller, Thomas Seidl, Suresh Venkatasubramanian, & Arthur Zimek (Eds.). (2012). 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, MultiClust ’12, in conjunction with SDM 2012, Anaheim, CA, USA, April 28, 2012, Anaheim, CA, USA, April 28, 2012. SIAM.
  • Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, & Hans-Peter Kriegel. (2012). Density-based Projected Clustering over High Dimensional Data Streams. In Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. (pp. 987–998). SIAM / Omnipress.
  • Erich Schubert, Remigius Wojdanowski, Arthur Zimek, & Hans-Peter Kriegel. (2012). On Evaluation of Outlier Rankings and Outlier Scores. In Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. (pp. 1047–1058). SIAM / Omnipress.
  • Arthur Zimek, Erich Schubert, & Hans-Peter Kriegel. (2012). A survey on unsupervised outlier detection in high-dimensional numerical data. Statistical Analysis and Data Mining, 5(5), 363–387.
  • Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2012). Subspace clustering. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2(4), 351–364.
  • R. Lorenz, S. H. Bernhart, F. Externbrink, J. Qin, C. Höner Zu Siederdissen, F. Amman, … P. F. Stadler. (2012). RNA folding algorithms with G-quadruplexes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7409 LNBI, 49–60.
  • J. Giesl, T. Ströder, P. Schneider-Kamp, F. Emmes, & C. Fuhs. (2012). Symbolic evaluation graphs and term rewriting - A general methodology for analyzing logic programs. PPDP’12 - Proceedings of the 2012 ACM SIGPLAN Principles and Practice of Declarative Programming, 1–2.
  • Yuri Goegebeur, Armelle Guillou, & Tertius de Wet. (2012). Weighted moment estimators for the second order scale parameter. Methodology and Computing in Applied Probability, 14, 753–783.
  • Yuri Goegebeur, & Tertius de Wet. (2012). Estimation of the third order parameter in extreme value statistics. Test, 21, 330–354.
  • Sebastian Böcker, Franziska Hufsky, Kerstin Scheubert, Jana Schleicher, & Stefan Schuster. (2012). German Conference on Bioinformatics 2012. In German Conference on Bioinformatics 2012.
  • Niels Hvidberg Kjeldsen, & Marco Chiarandini. (2012). Heuristic Solutions to the Long-Term Unit Commitment Problem with Cogeneration Plants. Computers & Operations Research, 39(2), 269–282.
  • Bent Jørgensen, & Hans Christian Petersen. (2012). Efficient estimation for incomplete multivariate data. Journal of Statistical Planning and Inference, 142, 1215–1224.
  • Lars Døvling Andersen, Jørgen Bang-Jensen, Marco Chiarandini, Tommy Jensen, Leif Kjaer Jørgensen, Matthias Kriesell, … Bjarne Toft. (2012). Graph Theory - Dedicated to Carsten Thomassen on his 60th birthday. Discrete Mathematics, 310(10), 2571–2768.
  • Ralf Schaible, Antje Gerloff-Elias, Fernando Colchero, & Hendrik Schubert. (2012). Two parthenogenetic populations of Chara canescens differ in their capacity to acclimate to irradiance and salinity. Oecologia, 168(2), 343–353.
  • Marco Chiarandini, Luca Di Gaspero, Stefano Gualandi, & Andrea Schaerf. (2012). The balanced academic curriculum problem revisited. Journal of Heuristics, 18(1), 119–148.
2011
  • Tobias Wittkop, Sven Rahmann, Richard Röttger, Sebastian Böcker, & Jan Baumbach. (2011). Extension and Robustness of Transitivity Clustering for Protein–Protein Interaction Network Analysis. Internet Mathematics, 7(4), 255–273.
  • Bent Jørgensen, Clarice G. B. Demétrio, Erik Kristensen, Gary T. Banta, Hans Christian Petersen, & Matthieu Delefosse. (2011). Bias-corrected Pearson estimating functions for Taylor’s power law applied to benthic macrofauna data. Statistics & Probability Letters, 81, 749–758.
  • Yuri Goegebeur, & Armelle Guillou. (2011). Asymptotically unbiased estimation of the coefficient of tail dependence (WorkingPaper). Syddansk Universitet. Institut for Matematik og Datalogi.
  • Yuri Goegebeur, Tertius de Wet, & Maria Reimert Munch. (2011). Asymptotically unbiased estimation of the second order tail parameter. Statistics & Probability Letters, 82(3), 565–573.
  • Yuri Goegebeur, & Armelle Guillou. (2011). A weighted mean excess function approach to the estimation of Weibull-type tails. Test, 20, 138–162.
  • Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2011). Evaluation of Multiple Clustering Solutions. In E. Müller, S. Günnemann, I. Assent, & T. Seidl (Eds.), Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011 (Vol. 772, pp. 55–66). CEUR-WS.org.
  • Jilles Vreeken, & Arthur Zimek. (2011). When Pattern Met Subspace Cluster. In E. Müller, S. Günnemann, I. Assent, & T. Seidl (Eds.), Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011 (Vol. 772, pp. 7–18). CEUR-WS.org.
  • Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2011). Interpreting and Unifying Outlier Scores. In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA (pp. 13–24). SIAM / Omnipress.
  • Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2011). Spatial Outlier Detection: Data, Algorithms, Visualizations. In D. Pfoser, Y. Tao, K. Mouratidis, M. A. Nascimento, M. F. Mokbel, S. Shekhar, & Y. Huang (Eds.), Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, Proceedings (Vol. 6849, pp. 512–516). Springer.
  • Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, & Arthur Zimek. (2011). Quality of Similarity Rankings in Time Series. In D. Pfoser, Y. Tao, K. Mouratidis, M. A. Nascimento, M. F. Mokbel, S. Shekhar, & Y. Huang (Eds.), Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, Proceedings (Vol. 6849, pp. 422–440). Springer.
  • Hans-Peter Kriegel, Peer Kröger, Irene Ntoutsi, & Arthur Zimek. (2011). Density Based Subspace Clustering over Dynamic Data. In J. B. Cushing, J. C. French, & S. Bowers (Eds.), Scientific and Statistical Database Management - 23rd International Conference, SSDBM 2011, Portland, OR, USA, July 20-22, 2011. Proceedings (Vol. 6809, pp. 387–404). Springer.
  • Hans-Peter Kriegel, Peer Kröger, Jörg Sander, & Arthur Zimek. (2011). Density-based clustering. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 1(3), 231–240.
  • Li AX, Marz M, Qin J, & Reidys CM. (2011). RNA-RNA interaction prediction based on multiple sequence alignments.. Bioinformatics (Oxford, England).
  • C. Fuhs, J. Giesl, M. Parting, P. Schneider-Kamp, & S. Swiderski. (2011). Proving termination by dependency pairs and inductive theorem proving. Journal of Automated Reasoning, 47(2), 133–160.
  • Hans Christian Petersen. (2011). A re-evaluation of stature estimation from skeletal length in the grave. American Journal of Physical Anthropology, 144(2), 327–330.
  • D. A. Conde, N. Flesness, F. Colchero, O. R. Jones, & A. Scheuerlein. (2011). Zoos and Captive Breeding–Response. Science, 332(6034), 1150–1151.
2010
  • Yuri Goegebeur, & Tertius de Wet. (2010). Local unbiased estimation of the tail index and its application to fire insurance data. In Proceedings of the International Symposium on Business and Industrial Statistics 2010. ISBIS. International Society for Business and Industrial Statistics.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2010). Generalized kernel estimators for the Weibull-tail coefficient. Communications in Statistics: Theory and Methods, 39(20), 3695–3716.
  • Ivan Iachine, Hans Christian Petersen, & Kirsten Ohm Kyvik. (2010). Robust tests for the equality of variances for clustered data. Journal of Statistical Computation and Simulation, 80(4), 365–377.
  • René Thiemann, Christian Sternagel, Jürgen Giesl, & Peter Schneider-Kamp. (2010). Loops under Strategies ... Continued. In Proceedings of the Proceedings of the 1st International Workshop on Strategies in Rewriting, Proving, and Programming (IWS ’10) (Vol. 44). Electronic Proceedings in Theoretical Computer Science.
  • Yuri Goegebeur, & Tertius de Wet. (2010). Estimation of the third order parameter in extreme value statistics (WorkingPaper). Syddansk Universitet. Institut for Matematik og Datalogi.
  • Yuri Goegebeur, & Armelle Guillou. (2010). A weighted mean excess function approach to the estimation of Weibull-type tails. In Proceedings of the 5th International Workshop on Applied Probability. International Workshop on Applied Probability (IWAP).
  • Jørgen Bang-Jensen, Marco Chiarandini, & Peter Morling. (2010). A Computational Investigation of Heuristic Algorithms for 2-Edge-Connectivity Augmentation. Networks, 55(4), 299–325.
  • Bent Jørgensen, Yuri Goegebeur, & José Raúl Martínez. (2010). Dispersion models for extremes. Extremes, 13(4), 399–437.
  • Yuri Goegebeur, & Armelle Guillou. (2010). Goodness-of-fit testing for Weibull-type behavior. Journal of Statistical Planning and Inference, 140(6), 1417–1436.
  • Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, & Arthur Zimek. (2010). Visual Evaluation of Outlier Detection Models. In H. Kitagawa, Y. Ishikawa, Q. Li, & C. Watanabe (Eds.), Database Systems for Advanced Applications, 15th International Conference, DASFAA 2010, Tsukuba, Japan, April 1-4, 2010, Proceedings, Part II (Vol. 5982, pp. 396–399). Springer.
  • Kyoji Kawagoe, Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Arthur Zimek, & Andreas Züfle. (2010). Similarity Search in Time Series of Dynamical Model-based Systems. In A. M. Tjoa & R. Wagner (Eds.), Database and Expert Systems Applications, DEXA, International Workshops, Bilbao, Spain, August 30 - September 3, 2010 (pp. 110–114). IEEE Computer Society.
  • Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, … Arthur Zimek. (2010). Subspace similarity search using the ideas of ranking and top-k retrieval. In Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA (pp. 4–9). IEEE Computer Society.
  • Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, … Arthur Zimek. (2010). Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. In M. Gertz & B. Ludäscher (Eds.), Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30 - July 2, 2010. Proceedings (Vol. 6187, pp. 555–564). Springer.
  • Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2010). Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?. In M. Gertz & B. Ludäscher (Eds.), Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010, Heidelberg, Germany, June 30 - July 2, 2010. Proceedings (Vol. 6187, pp. 482–500). Springer.
  • Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, & Arthur Zimek. (2010). Investigating a Correlation between Subcellular Localization and Fold of Proteins. J. UCS, 16(5), 604–621.
  • Arthur Zimek, Fabian Buchwald, Eibe Frank, & Stefan Kramer. (2010). A Study of Hierarchical and Flat Classification of Proteins. IEEE/ACM Trans. Comput. Biology Bioinform., 7(3), 563–571.
  • Huang FW, Qin J, Reidys CM, & Stadler PF. (2010). Target prediction and a statistical sampling algorithm for RNA-RNA interaction.. Bioinformatics (Oxford, England).
  • P. Schneider-Kamp, J. Giesl, & M. T. Nguyen. (2010). The dependency triple framework for termination of logic programs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6037 LNCS, 37–51.
  • Yuri Goegebeur, Paul De Boeck, & Geert Molenberghs. (2010). Person fit for test speededness - normal curvatures, likelihood ratio tests and empirical Bayes estimates. Methodology, 6(1), 3–16.
  • Peter Schneider-Kamp, & Carsten Fuhs. (2010). Synthesizing Shortest Straight-Line Programs over GF(2) using SAT. In Proceedings of the 13th International Conference on Theory and Applications of Satisfiability Testing (SAT ’10) (pp. 71–84).
  • Michael Codish, Yoav Fekete, Carsten Fuhs, & Peter Schneider-Kamp. (2010). Optimal Base Encodings for Pseudo-Boolean Constraints. In Proceedings of the 17th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS ’11) (Vol. 6605). Germany: Springer.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2010). Kernel estimators for the second order parameter in extreme value statistics. Journal of Statistical Planning and Inference, 140, 2632–2652.
  • Yuri Goegebeur, & Tertius de Wet. (2010). Local unbiased estimation of the tail index (WorkingPaper). Department of Statistics and Actuarial Science, University of Stellenbosch.
  • Marco Chiarandini, & Yuri Goegebeur. (2010). Mixed Models for the Analysis of Optimization Algorithms. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, & M. Preuss (Eds.), Experimental Methods for the Analysis of Optimization Algorithms (pp. 225–264). Germany: Springer.
  • Peter Schneider-Kamp. (2010). Static Terrmination Analysis for Prolog Using Term Rewriting and SAT Solving. Kuenstliche Intelligenz, 24(1), 79–81.
  • Fernando Colchero, Oron L. Bass, Ricardo Zambrano, & Jeffery A. Gore. (2010). Clustered Nesting and Vegetation Thresholds Reduce Egg Predation in Sooty Terns. Waterbirds, 33(2), 169–178.
2009
  • Peter Schneider-Kamp, Jürgen Giesl, & Manh Thang Nguzen. (2009). The Dependency Triple Framework for Termination of Logic Programs. In Proceedings of the 19th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR ’09) (pp. 37–51). Germany: Springer.
  • Marco Chiarandini, & Yuri Goegebeur. (2009). Mixed models for the analysis of optimization algorithms (WorkingPaper, DMF-2009-07-001) (pp. 1–39). The Danish Mathematical Society.
  • Yuri Goegebeur, & Armelle Guillou. (2009). Goodness-of-fit testing for Weibull-type behavior (WorkingPaper).
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2009). Generalized kernel estimators for the Weibull-tail coefficient (WorkingPaper). Syddansk Universitet. Institut for Matematik og Datalogi.
  • Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2009). LoOP: local outlier probabilities. In D. W.-L. Cheung, I.-Y. Song, W. W. Chu, X. Hu, & J. J. Lin (Eds.), Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009 (pp. 1649–1652). ACM.
  • Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2009). Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. In T. Theeramunkong, B. Kijsirikul, N. Cercone, & T. B. Ho (Eds.), Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings (Vol. 5476, pp. 831–838). Springer.
  • Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, & Arthur Zimek. (2009). ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. In N. Mamoulis, T. Seidl, T. B. Pedersen, K. Torp, & I. Assent (Eds.), Advances in Spatial and Temporal Databases, 11th International Symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009, Proceedings (Vol. 5644, pp. 436–440). Springer.
  • Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, & Arthur Zimek. (2009). Supervised Ensembles of Prediction Methods for Subcellular Localization. J. Bioinformatics and Computational Biology, 7(2), 269–285.
  • Gabriela Moise, Arthur Zimek, Peer Kröger, Hans-Peter Kriegel, & Jörg Sander. (2009). Subspace and projected clustering: experimental evaluation and analysis. Knowl. Inf. Syst., 21(3), 299–326.
  • Arthur Zimek. (2009). Correlation clustering. SIGKDD Explorations, 11(1), 53–54.
  • Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2009). Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. TKDD, 3(1).
  • Peer Kröger, & Arthur Zimek. (2009). Subspace Clustering Techniques. In L. Liu & M. T. Özsu (Eds.), Encyclopedia of Database Systems (pp. 2873–2875). Springer US.
  • Fernando Colchero, Rodrigo A. Medellin, James S. Clark, Raymond Lee, & Gabriel G. Katul. (2009). Predicting population survival under future climate change: density dependence, drought and extraction in an insular bighorn sheep. Journal of Animal Ecology, 78(3), 666–673.
  • Huang FW, Qin J, Reidys CM, & Stadler PF. (2009). Partition function and base pairing probabilities for RNA-RNA interaction prediction.. Bioinformatics (Oxford, England).
  • W. Y. C. Chen, J. Qin, C. M. Reidys, & D. Zeilberger. (2009). Efficient counting and asymptotics of k-noncrossing tangled diagrams. Electronic Journal of Combinatorics, 16(1).
  • S. Swiderski, M. Parting, J. Giesl, C. Fuhs, & P. Schneider-Kamp. (2009). Termination analysis by dependency pairs and inductive theorem proving. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5663 LNAI, 322–338.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2009). Kernel estimators for the second order parameter in extreme value statistics.
  • Yuri Goegebeur, & Armelle Guillou. (2009). A weighted mean excess function approach to the estimation of Weibull-type tails (WorkingPaper).
  • Jean-Marie Robine, Hans Christian Petersen, & Bernard Jeune. (2009). Buffon et la longevité des espèces. In M.-O. Bernez (Ed.), L’héritage de Buffon (pp. 257–272). Éditions Universitaires de Dijon.
  • Fabian Kneissl, Richard Rottger, Uwe Sandner, Jan Marco Leimeister, & Helmut Krcmar. (2009). All-i-touch as combination of nfc and lifestyle. In Near Field Communication, 2009. NFC’09. First International Workshop on (pp. 51–55). IEEE.
2008
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2008). Kernel goodness-of-fit statistics for Pareto-type behavior and threshold selection for tail index estimation. In Proceedings of the 2008 International Workshop on Applied Probability. International Workshop on Applied Probability (IWAP).
  • Marco Chiarandini, Ilias K. Kotsireas, Christos Koukouvinos, & Luis Paquete. (2008). Heuristic algorithms for Hadamard matrices with two circulant cores. Theoretical Computer Science, 407, 274–277.
  • Yuri Goegebeur, Paul De Boeck, James A. Wollack, & Allan S. Cohen. (2008). A speeded item response model with gradual process change. Psychometrika, 73, 65–87.
  • Hans Christian Petersen. (2008). Det osteologiske paradoks. In N. Lynnerup, P. Bennike, & E. Iregren (Eds.), Biologisk Antropologi med Human Osteologi (pp. 309–318). Gyldendal.
  • Johannes Aßfalg, Jing Gong, Hans-Peter Kriegel, Alexey Pryakhin, Tiandi Wei, & Arthur Zimek. (2008). Supervised Ensembles of Prediction Methods for Subcellular Localization. In A. Brazma, S. Miyano, & T. Akutsu (Eds.), Proceedings of the 6th Asia-Pacific Bioinformatics Conference, APBC 2008, 14-17 January 2008, Kyoto, Japan (Vol. 6, pp. 29–38). Imperial College Press.
  • Hans-Peter Kriegel, Matthias Schubert, & Arthur Zimek. (2008). Angle-based outlier detection in high-dimensional data. In Y. Li, B. Liu, & S. Sarawagi (Eds.), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008 (pp. 444–452). ACM.
  • Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, & Arthur Zimek. (2008). Robust Clustering in Arbitrarily Oriented Subspaces. In Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA (pp. 763–774). SIAM.
  • Elke Achtert, Hans-Peter Kriegel, & Arthur Zimek. (2008). ELKI: A Software System for Evaluation of Subspace Clustering Algorithms. In B. Ludäscher & N. Mamoulis (Eds.), Scientific and Statistical Database Management, 20th International Conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008, Proceedings (Vol. 5069, pp. 580–585). Springer.
  • Hans-Peter Kriegel, Peer Kröger, Erich Schubert, & Arthur Zimek. (2008). A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. In B. Ludäscher & N. Mamoulis (Eds.), Scientific and Statistical Database Management, 20th International Conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008, Proceedings (Vol. 5069, pp. 418–435). Springer.
  • Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2008). Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering. PVLDB, 1(2), 1528–1529.
  • Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, & Arthur Zimek. (2008). Global Correlation Clustering Based on the Hough Transform. Statistical Analysis and Data Mining, 1(3), 111–127.
  • Jin EY, Qin J, & Reidys CM. (2008). Combinatorics of RNA structures with pseudoknots.. Bulletin of Mathematical Biology.
  • Jin EY, Qin J, & Reidys CM. (2008). Neutral networks of sequence to shape maps.. Journal of Theoretical Biology.
  • W. Y. C. Chen, J. Qin, & C. M. Reidys. (2008). Crossings and nestings in tangled diagrams. Electronic Journal of Combinatorics, 15(1), 1–14.
  • M. T. Nguyen, J. Giesl, P. Schneider-Kamp, & D. De Schreye. (2008). Termination analysis of logic programs based on dependency graphs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4915 LNCS, 8–22.
  • Hans Christian Petersen, & Verner Alexandersen. (2008). Non-metriske træk. In N. Lynnerup, P. Bennike, & E. Iregren (Eds.), Biologisk Antropologi med Human Osteologi (pp. 111–119). Gyldendal.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2008). Linking Pareto-tail kernel goodness-of-fit statistics with tail index estimation at optimal threshold and second order estimation. Revstat Statistical Journal, 6, 51–69.
  • Niels Lynnerup, Hans Christian Petersen, & Verner Alexandersen. (2008). Antropometri. In N. Lynnerup, P. Bennike, & E. Iregren (Eds.), Biologisk Antropologi med Human Osteologi (pp. 97–109). Bruun Rasmussen Publishers.
  • Robert S. Schick, Scott R. Loarie, Fernando Colchero, Benjamin D. Best, Andre Boustany, Dalia A. Conde, … James S. Clark. (2008). Understanding movement data and movement processes: current and emerging directions. Ecology Letters, 11(12), 1338–1350.
2007
  • Marco Chiarandini, Luis Paquete, Mike Preuss, & Enda Ridge. (2007). Experiments on metaheuristics: Methodological overview and open issues (WorkingPaper).
  • Yuri Goegebeur, Paul De Boeck, Geert Molenberghs, & Guido del Pino. (2007). A local influence based diagnostic approach to a speeded item response theory model.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2007). Bias-corrected goodness-of-fit tests for Pareto-type behavior.
  • Yuri Goegebeur, Tom Hoedemakers, & Jurgen Tistaert. (2007). Synthetic CDO pricing using the Student t factor model with random recovery.
  • Yuri Goegebeur, Peter Goos, & Martina Vandebroek. (2007). A hierarchical Bayesian approach to robust parameter design (WorkingPaper).
  • Jørgen Bang-Jensen, Marco Chiarandini, Yuri Goegebeur, & Bent Jørgensen. (2007). Mixed models for the analysis of local search components. Lecture Notes in Computer Science, 4638, 91–105.
  • Bent Jørgensen, Yuri Goegebeur, & José Raúl Martínez. (2007). Dispersion models for extremes.
  • Dario Basso, Marco Chiarandini, & Luigi Salmaso. (2007). Synchronized permutation tests in IxJ designs. Journal of Statistical Planning and Inference, 137(8), 2564–2578.
  • Marco Chiarandini, & Thomas Stützle. (2007). Stochastic local search algorithms for graph set T-colouring and frequency assignment. Constraints, 12(3), 371–403.
  • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, & Arthur Zimek. (2007). Detection and Visualization of Subspace Cluster Hierarchies. In K. Ramamohanarao, P. R. Krishna, M. K. Mohania, & E. Nantajeewarawat (Eds.), Advances in Databases: Concepts, Systems and Applications, 12th International Conference on Database Systems for Advanced Applications, DASFAA 2007, Bangkok, Thailand, April 9-12, 2007, Proceedings (Vol. 4443, pp. 152–163). Springer.
  • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2007). Robust, Complete, and Efficient Correlation Clustering. In Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA (pp. 413–418). SIAM.
  • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2007). On Exploring Complex Relationships of Correlation Clusters. In 19th International Conference on Scientific and Statistical Database Management, SSDBM 2007, 9-11 July 2007, Banff, Canada, Proceedings (p. 7). IEEE Computer Society.
  • Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, & Arthur Zimek. (2007). Future trends in data mining. Data Min. Knowl. Discov., 15(1), 87–97.
  • C. Fuhs, J. Giesl, A. Middeldorp, P. Schneider-Kamp, R. Thiemann, & H. Zankl. (2007). SAT solving for termination analysis with polynomial interpretations. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4501 LNCS, 340–354.
  • Jørgen Bang-Jensen, Marco Chiarandini, & Peter Morling. (2007). A computational investigation on heuristic algorithms for 2-edge-connectivity augmentation (WorkingPaper).
  • Yuri Goegebeur, Paul De Boeck, Geert Molenberghs, & Guido del Pino. (2007). A local influence based diagnostic approach to a speeded item response theory model.
2006
  • Yuri Goegebeur, Paul De Boeck, & Geert Molenberghs. (2006). Person fit for test speededness:: normal curvature and likelihood ratio based tests (WorkingPaper).
  • Marco Chiarandini, Leonora Bianchi, Mauro Birattari, Max Manfrin, Monaldo Mastrolilli, Luis Paquete, … Tommaso Schiavinotto. (2006). Hybrid metaheuristics for the vehicle routing problem with stochastic demand. Journal of Mathematical Modelling and Algorithms, 5(1), 91–110.
  • Marco Chiarandini, Mauro Birattari, Kryzysztof Socha, & Olivia Rossi-Doria. (2006). An effective hybrid approach for the university course timetabling problem. Journal of Scheduling, 9(5), 403–432.
  • Jan Beirlant, Tertius de Wet, & Yuri Goegebeur. (2006). A goodness-of-fit statistic for Pareto-type behaviour. Journal of Computational and Applied Mathematics, 186(1), 99–116.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2006). A kernel goodness-of-fit statistic for Pareto-type behavior.
  • Yuri Goegebeur, Paul De Boeck, Geert Molenberghs, & Guido del Pino. (2006). A local influence based diagnostic approach to a speeded IRT model. Journal of the Royal Statistical Society Series C, Applied Statistics, 55(5), 647–676.
  • Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, & Arthur Zimek. (2006). COSMIC: Conceptually Specified Multi-Instance Clusters. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China (pp. 917–921). IEEE Computer Society.
  • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, & Arthur Zimek. (2006). Deriving quantitative models for correlation clusters. In T. Eliassi-Rad, L. H. Ungar, M. Craven, & D. Gunopulos (Eds.), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 (pp. 4–13). ACM.
  • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, & Arthur Zimek. (2006). Finding Hierarchies of Subspace Clusters. In J. Fürnkranz, T. Scheffer, & M. Spiliopoulou (Eds.), Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings (Vol. 4213, pp. 446–453). Springer.
  • Elke Achtert, Christian Böhm, Peer Kröger, & Arthur Zimek. (2006). Mining Hierarchies of Correlation Clusters. In 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006, 3-5 July 2006, Vienna, Austria, Proceedings (pp. 119–128). IEEE Computer Society.
  • M. Codish, P. Schneider-Kamp, V. Lagoon, R. Thiemann, & J. Giesl. (2006). SAT solving for argument filterings. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4246 LNAI, 30–44.
  • Yuri Goegebeur, Paul De Boeck, James Wollack, & Allan Cohen. (2006). Een IRT model met geleidelijke proceswijziging.
  • Yuri Goegebeur, Jan Beirlant, & Tertius de Wet. (2006). Goodness-of-fit testing and Pareto-tail estimation.
2005
  • Marco Chiarandini, & D. Basso. (2005). Statistical methods for the comparison of stochastic optimizers.
  • J. Giesl, R. Thiemann, & P. Schneider-Kamp. (2005). The dependency pair framework: Combining techniques for automated termination proofs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3452 LNAI, 301–331.
  • Marco Chiarandini. (2005). Stochastic Local Search Methods for Highly Constrained Combinatorial Optimisation Problems (PhD thesis).
2004
  • Christian Böhm, Karin Kailing, Peer Kröger, & Arthur Zimek. (2004). Computing Clusters of Correlation Connected Objects. In G. Weikum, A. C. König, & S. Deßloch (Eds.), Proceedings of the ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004 (pp. 455–466). ACM.
  • R. Thiemann, J. Giesl, & P. Schneider-Kamp. (2004). Improved modular termination proofs using dependency pairs. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3097, 75–90.
2003
  • J. Giesl, R. Thiemann, P. Schneider-Kamp, & S. Falke. (2003). Improving dependency Pairs. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2850, 167–182.
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