Marvin Wright

Marvin Wright

wright@leibniz-bips.de
Institution: Leibniz Institute for Prevention Research and Epidemiology - BIPS / University of Bremen
Department: Emmy Noether Junior Research Group "Beyond Prediction - Statistical Inference with Machine Learning"
Position: Group Leader

Statistical machine learning, explainable AI

  • Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation (2024)

    Authors: Hannah J Coyle-Asbil, Lukas Burk, Mirko Brandes, Berit Brandes, Christoph Buck, Marvin N Wright, Lori Ann Vallis

    Published at: Physiological Measurement (Volume: 45)
    DOI: 10.1088/1361-6579/ad7ad2

  • Random Survival Forests With Competing Events: A Subdistribution-Based Imputation Approach (2024)

    Authors: Charlotte Behning, Alexander Bigerl, Marvin N. Wright, Peggy Sekula, Moritz Berger, Matthias Schmid

    Published at: Biometrical Journal (Volume: 66)
    DOI: 10.1002/bimj.202400014

  • Conditional feature importance for mixed data (2024)

    Authors: Kristin Blesch, David S. Watson, Marvin N. Wright

    Published at: AStA Advances in Statistical Analysis (Volume: 108)
    DOI: 10.1007/s10182-023-00477-9

  • A discovery and verification approach to pharmacovigilance using electronic healthcare data (2024)

    Authors: Louis Dijkstra, Tania Schink, Roland Linder, Markus Schwaninger, Iris Pigeot, Marvin N. Wright, Ronja Foraita

    Published at: Frontiers in Pharmacology (Volume: 15)
    DOI: 10.3389/fphar.2024.1426323

  • arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests (2024)

    Authors: Kristin Blesch, Marvin N. Wright

    Published at: Journal of Open Research Software (Volume: 12)
    DOI: 10.5334/jors.492

  • CountARFactuals – Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests (2024)

    Authors: Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright

    Published at: Communications in Computer and Information Science (Volume: 2155 CCIS)
    DOI: 10.1007/978-3-031-63800-8_5

  • Toward Understanding the Disagreement Problem in Neural Network Feature Attribution (2024)

    Authors: Niklas Koenen, Marvin N. Wright

    Published at: Communications in Computer and Information Science (Volume: 2155 CCIS)
    DOI: 10.1007/978-3-031-63800-8_13

  • A Guide to Feature Importance Methods for Scientific Inference (2024)

    Authors: Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König

    Published at: Communications in Computer and Information Science (Volume: 2154 CCIS)
    DOI: 10.1007/978-3-031-63797-1_22

  • Feature Selection (2024)

    Authors: Marvin N. Wright

    Published at: Applied Machine Learning Using mlr3 in R
    DOI: 10.1201/9781003402848-6

  • Non-sequential Pipelines and Tuning (2024)

    Authors: Martin Binder, Florian Pfisterer, Marc Becker, Marvin N. Wright

    Published at: Applied Machine Learning Using mlr3 in R
    DOI: 10.1201/9781003402848-8