Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness von Vollmer, Sebastian, Mateen, Bilal A, Bohner, Gergo, Király, Franz J, Ghani, Rayid, Jonsson, Pall, Cumbers, Sarah, Jonas, Adrian, McAllister, Katherine S L, Myles, Puja, Grainger, David, Birse, Mark, Branson, Richard, Moons, Karel G M, Collins, Gary S, Ioannidis, John P A, Holmes, Chris, Hemingway, Harry

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mlr3proba: an R package for machine learning in survival analysis von Sonabend, Raphael, Király, Franz J., Bender, Andreas, Bischl, Bernd, Lang, Michel

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Prediction and Quantification of Individual Athletic Performance of Runners von Blythe, Duncan A J, Király, Franz J

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distr6: R6 Object-Oriented Probability Distributions Interface in R von Sonabend, Raphael, Király, Franz,J.

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The Trail Making test: a study of its ability to predict falls in the acute neurological in-patient population von Mateen, Bilal Akhter, Bussas, Matthias, Doogan, Catherine, Waller, Denise, Saverino, Alessia, Király, Franz J, Playford, E Diane

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Periodic seismicity detection without declustering von Park, Timothy, Kiraly, Franz J, Bourne, Stephen J

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Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices von Ehler, Martin, Gräf, Manuel, Király, Franz J.

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Periodic seismicity detection without declustering von Park, Timothy, Kiraly, Franz J, Bourne, Stephen J

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Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices von Ehler, Martin, Graef, Manuel, Kiraly, Franz J

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Kernels for time series with irregularly-spaced multivariate observations von Guecioueur, Ahmed, Király, Franz J

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Machine Learning Automation Toolbox (MLaut) von Kazakov, Viktor, Király, Franz J

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Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling von Burkart, Samuel, Király, Franz J

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NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature von Király, Franz J, Mateen, Bilal, Sonabend, Raphael

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Modelling Competitive Sports: Bradley-Terry-\'{E}l\H{o} Models for Supervised and On-Line Learning of Paired Competition Outcomes von Király, Franz J, Qian, Zhaozhi

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Algebraic Geometric Comparison of Probability Distributions von Kiraly, Franz J, von Buenau, Paul, Meinecke, Frank C, Blythe, Duncan A. J, Mueller, Klaus-Robert

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Kernels for time series with irregularly-spaced multivariate observations von Guecioueur, Ahmed, Király, Franz J

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Kernels for sequentially ordered data von Király, Franz J, Oberhauser, Harald

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Designing Machine Learning Toolboxes: Concepts, Principles and Patterns von Király, Franz J, Löning, Markus, Blaom, Anthony, Guecioueur, Ahmed, Sonabend, Raphael

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mlr3proba: An R Package for Machine Learning in Survival Analysis von Sonabend, Raphael, Király, Franz J, Bender, Andreas, Bischl, Bernd, Lang, Michel

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Efficient Orthogonal Tensor Decomposition, with an Application to Latent Variable Model Learning von Király, Franz J

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