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  1. Book and Conference Proceedings

  2. No Access

    Book and Conference Proceedings

  3. Article

    Special issue on “Learning in data science: theory, methods and applications”—preface by the guest editors

    Daniel Baier, Berthold Lausen in Advances in Data Analysis and Classificati… (2020)

  4. Article

    Open Access

    Ensemble of optimal trees, random forest and random projection ensemble classification

    The predictive performance of a random forest ensemble is highly associated with the strength of individual trees and their diversity. Ensemble of a small number of accurate and diverse trees, if prediction ac...

    Zardad Khan, Asma Gul, Aris Perperoglou in Advances in Data Analysis and Classificati… (2020)

  5. Article

    Open Access

    Ensemble of a subset of kNN classifiers

    Combining multiple classifiers, known as ensemble methods, can give substantial improvement in prediction performance of learning algorithms especially in the presence of non-informative features in the data s...

    Asma Gul, Aris Perperoglou, Zardad Khan in Advances in Data Analysis and Classificati… (2018)

  6. Article

    Introduction to the special issue on Data Science in Europe

    Peter Flach, Myra Spiliopoulou in International Journal of Data Science and … (2018)

  7. Article

    Open Access

    Modified Pilates as an adjunct to standard physiotherapy care for urinary incontinence: a mixed methods pilot for a randomised controlled trial

    Urinary incontinence (UI) is a distressing condition affecting at least 5 million women in England and Wales. Traditionally, physiotherapy for UI comprises pelvic floor muscle training, but although evidence s...

    Adi Lausen, Louise Marsland, Samantha Head, Joanna Jackson in BMC Women's Health (2018)

  8. No Access

    Chapter and Conference Paper

    Ensemble of Subset of k-Nearest Neighbours Models for Class Membership Probability Estimation

    Combining multiple classifiers can give substantial improvement in prediction performance of learning algorithms especially in the presence of non-informative features in the data sets. This technique can ...

    Asma Gul, Zardad Khan, Aris Perperoglou in Analysis of Large and Complex Data (2016)

  9. No Access

    Chapter and Conference Paper

    Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component

    In large discrete data sets which requires classification into signal and noise components, the distribution of the signal is often very bumpy and does not follow a standard distribution. Therefore the signa...

    Baba B. Alhaji, Hongsheng Dai, Yoshiko Hayashi in Analysis of Large and Complex Data (2016)

  10. No Access

    Chapter and Conference Paper

    Minimizing Redundancy Among Genes Selected Based on the Overlap** Analysis

    For many functional genomic experiments, identifying the most characterizing genes is a main challenge. Both the prediction accuracy and interpretability of a classifier could be enhanced by performing the cla...

    Osama Mahmoud, Andrew Harrison, Asma Gul, Zardad Khan in Analysis of Large and Complex Data (2016)

  11. No Access

    Chapter and Conference Paper

    An Ensemble of Optimal Trees for Class Membership Probability Estimation

    Machine learning methods can be used for estimating the class membership probability of an observation. We propose an ensemble of optimal trees in terms of their predictive performance. This ensemble is formed...

    Zardad Khan, Asma Gul, Osama Mahmoud in Analysis of Large and Complex Data (2016)

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    Book and Conference Proceedings

  13. Article

    Open Access

    A feature selection method for classification within functional genomics experiments based on the proportional overlap** score

    Microarray technology, as well as other functional genomics experiments, allow simultaneous measurements of thousands of genes within each sample. Both the prediction accuracy and interpretability of a classif...

    Osama Mahmoud, Andrew Harrison, Aris Perperoglou, Asma Gul in BMC Bioinformatics (2014)

  14. No Access

    Book and Conference Proceedings

  15. No Access

    Chapter

    Tele-glaucoma: Experiences and Perspectives

    Glaucoma, a group of diseases that lead to optic neuropathy, is one of the most common reasons for blindness worldwide [1]. The most common form among the Caucasian population is open-angle glaucoma (OAG) [2]....

    Georg Michelson, Rüdiger Bock, Simone Wärntges in Digital Teleretinal Screening (2012)

  16. No Access

    Article

    Classification of repeated measurements data using tree-based ensemble methods

    In many medical applications, longitudinal data sets are available. Longitudinal data, as well as observations from paired organs, show a dependency structure which should be respected in the evaluation. Adler...

    Werner Adler, Sergej Potapov, Berthold Lausen in Computational Statistics (2011)

  17. Article

    Open Access

    Informed citizen and empowered citizen in health: results from an European survey

    The knowledge about the relationship between health-related activities on the Internet (i.e. informed citizens) and individuals' control over their own experiences of health or illness (i.e. empowered citizens...

    Silvina Santana, Berthold Lausen, Maria Bujnowska-Fedak in BMC Family Practice (2011)

  18. No Access

    Book and Conference Proceedings

    Advances in Data Analysis, Data Handling and Business Intelligence

    Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008

    Andreas Fink, Berthold Lausen in Studies in Classification, Data Analysis, and Knowledge Organization (2010)

  19. No Access

    Article

    Electrophysiological deficits in the retina of the DBA/2J mouse

    The DBA/2J (D2J) is a genetic mouse model for glaucomatous neurodegeneration because the animals develop anatomical and functional retinal deficits that partially can be correlated with elevated intraocular pr...

    Joanna Harazny, Michael Scholz, Thomas Buder, Berthold Lausen in Documenta Ophthalmologica (2009)

  20. No Access

    Article

    Renal cell carcinoma under 35 years of age: comparison of survival rates for symptomatic and asymptomatic patients

    Recent studies suggest that RCC detected in young adults is likely to be more symptomatic and potentially aggressive, since young patients are less likely to undergo radiologic examinations unless they have sy...

    Vahudin Zugor, Swetlana Fridel, Berthold Lausen in International Urology and Nephrology (2008)

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