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Wojtek J. Krzanowski

Wojtek J. Krzanowski

D-Index & Metrics

Mathematics

D-Index
38
Citations
11340
World Ranking
2278
National Ranking
149

Overview

Wojtek J. Krzanowski is affiliated with the University of Exeter in the United Kingdom. Their research primarily spans the field of Mathematics with a focus on Statistics and Probability, contributing notably to subfields such as Applied Mathematics, Plant Science, Artificial Intelligence, and Complementary and Alternative Medicine.

The scientist's work covers several main topics, including:

  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Genetics and Plant Breeding
  • Statistical and numerical algorithms
  • Statistical Methods and Inference
  • AI in cancer detection
  • Traditional Chinese Medicine Studies

Wojtek J. Krzanowski has published in a number of scholarly venues, including:

  • Applied System Innovation
  • MethodsX
  • Scientific Reports
  • British Journal for the History of Mathematics
  • Crop Science

Frequent co-authors collaborating with Krzanowski comprise:

  • Marisol García-Peña
  • Sergio Arciniegas-Alarcón
  • Camilo Rengifo
  • Livija Jakaite
  • Vitaly Schetinin

Selected recent papers authored or co-authored by Wojtek J. Krzanowski include:

  • Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis, 2021, Scientific Reports
  • Missing-value imputation using the robust singular-value decomposition: Proposals and numerical evaluation, 2021, Crop Science
  • Linear algebra and multivariate analysis in statistics: development and interconnections in the twentieth century, 2022, British Journal for the History of Mathematics
  • Techniques for Robust Imputation in Incomplete Two-Way Tables, 2021, Applied System Innovation
  • Cross-Validation for Lower Rank Matrices Containing Outliers, 2022, Applied System Innovation

Best Publications

  • Principles of multivariate analysis: a user's perspective

    W. J. Krzanowski

  • Principles of multivariate analysis

    B. S. Everitt;W. Krzanowski

  • A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering

    W. J. Krzanowski;Y. T. Lai

  • ROC Curves for Continuous Data

    Wojtek J. Krzanowski;David J. Hand

  • Between-Groups Comparison of Principal Components

    W. J. Krzanowski

  • Cross-Validatory Choice of the Number of Components From a Principal Component Analysis

    H. T. Eastment;W. J. Krzanowski

  • Discriminant Analysis with Singular Covariance Matrices: Methods and Applications to Spectroscopic Data

    W. J. Krzanowski;P. Jonathan;W. V. McCarthy;M. R. Thomas

  • Selection of Variables to Preserve Multivariate Data Structure, Using Principal Components

    Unknown

  • Discrimination and Classification Using Both Binary and Continuous Variables

    W. J. Krzanowski

  • Cross-Validation in Principal Component Analysis

    W. J. Krzanowski

  • Improved biclustering of microarray data demonstrated through systematic performance tests

    Heather L. Turner;Trevor C. Bailey;Wojtek J. Krzanowski

  • Software diversity: practical statistics for its measurement and exploitation

    Derek Partridge;Wojtek J. Krzanowski

  • Mixtures of continuous and categorical variables in discriminant analysis.

    Krzanowski Wj

  • The Performance of Fisher's Linear Discriminant Function Under Non-Optimal Conditions

    W. J. Krzanowski

  • Distance between populations using mixed continuous and categorical variables

    W. J. Krzanowski

  • Model Selection and Cross Validation in Additive Main Effect and Multiplicative Interaction Models

    Carlos T. dos S. Dias;Wojtek J. Krzanowski

  • Analysis of distance for structured multivariate data and extensions to multivariate analysis of variance

    J. C. Gower;W. J. Krzanowski

  • The Mahalanobis distance and elliptic distributions

    Ann F. S. Mitchell;Wojtek J. Krzanowski

  • Principal Component Analysis in the Presence of Group Structure

    W. J. Krzanowski

  • Recent Advances in Descriptive Multivariate Analysis.

    A. D. Gordon;W. J. Krzanowski

  • Biclustering Models for Structured Microarray Data

    Heather L. Turner;Trevor C. Bailey;Wojtek J. Krzanowski;Cheryl A. Hemingway

Frequent Co-Authors

Richard M. Everson
Richard M. Everson University of Exeter
David J. Hand
David J. Hand Imperial College London
Mikael Kubista
Mikael Kubista Czech Academy of Sciences
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Ricardo Antunes Azevedo
Ricardo Antunes Azevedo Universidade de São Paulo
Christovam Barcellos
Christovam Barcellos Oswaldo Cruz Foundation
James Hartley
James Hartley Keele University
Gary S. Collins
Gary S. Collins University of Oxford

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