sameAs
MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomizationSmart homes, private homes? An empirical study of technology researchers' perceptions of ethical issues in developing smart-home health technologiesMachine learning to assist risk-of-bias assessments in systematic reviews.Physical activity phenotyping with activity bigrams, and their association with BMI.Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenomeFast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov TestSmooth Receiver Operating Characteristics (smROC) CurvesCost-Based Sampling of Individual InstancesKernels and Distances for Structured DataOn Graph Kernels: Hardness Results and Efficient AlternativesKernels for Structured DataBeyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibrationUnsupervised learning of sensor topologies for improving activity recognition in smart environmentsComputational support for academic peer reviewBackground Check: A General Technique to Build More Reliable and Versatile ClassifiersReframing in context: A systematic approach for model reuse in machine learningOn the need for structure modelling in sequence predictionSubgroup Discovery with Proper Scoring RulesCost-sensitive boosting algorithms: Do we really need them?Classifier CalibrationReframing in Frequent Pattern MiningFeature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter DataBDL.NET: Bayesian dictionary learning in Infer.NETFirst-Order LogicReport of the First International Workshop on Learning over Multiple Contexts (LMCE 2014)Bridging e-Health and the Internet of Things: The SPHERE ProjectActivity recognition using conditional random fieldBayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular StatisticsNovel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to CalibrationVersatile Decision Trees for Learning Over Multiple ContextsSubgroup Discovery in Smart Electricity Meter DataLaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting CriterionRate-Constrained Ranking and the Rate-Weighted AUCRate-Oriented Point-Wise Confidence Bounds for ROC CurvesReliability Maps: A Tool to Enhance Probability Estimates and Improve Classification AccuracyGuest editors’ introduction: special section of selected papers from ECML-PKDD 2012ROC curves in cost spaceA Higher-order data flow model for heterogeneous Big DataGuest editors’ introduction: special issue of selected papers from ECML-PKDD 2012SubSift web services and workflows for profiling and comparing scientists and their published works
P50
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P50
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Peter Flach
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