Wojtek J. Krzanowski

Publication Activity (10 Years)

Years Active: 1996-2018
Publications (10 Years): 5

Top Topics

Bayesian Learning

Top Venues

Artif. Intell. Medicine

Integr. Comput. Aided Eng.

Int. J. Medical Informatics

Publications

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring. Int. J. Medical Informatics 112 (2018)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian averaging over Decision Tree models for trauma severity scoring. Artif. Intell. Medicine 84 (2018)
Vitaly Schetinin, Livia Jakaite, Ndifreke Nyah, Dusica Novakovic, Wojtek J. Krzanowski
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification. Int. J. Neural Syst. 28 (6) (2018)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance. Integr. Comput. Aided Eng. 25 (3) (2018)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System. BMA@UAI (2015)
Nickolay T. Trendafilov, Steffen Unkel, Wojtek J. Krzanowski
Exploratory factor and principal component analyses: some new aspects. Stat. Comput. 23 (2) (2013)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Prediction of survival probabilities with Bayesian Decision Trees. Expert Syst. Appl. 40 (14) (2013)
Vitaly Schetinin, Livia Jakaite, Janis Jakaitis, Wojtek J. Krzanowski
Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank. Comput. Methods Programs Biomed. 111 (3) (2013)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR (2010)
Wojtek J. Krzanowski, David J. Hand
A simple method for screening variables before clustering microarray data. Comput. Stat. Data Anal. 53 (7) (2009)
Wojtek J. Krzanowski, David J. Hand
A recursive partitioning tool for interval prediction. Adv. Data Anal. Classif. 1 (3) (2007)
Sung-Soo Kim, Wojtek J. Krzanowski
Detecting multiple outliers in linear regression using a cluster method combined with graphical visualization. Comput. Stat. 22 (1) (2007)
Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. 16 (1) (2007)
David J. Hand, Wojtek J. Krzanowski, Martin Crowder
Optimal predictive partitioning. Stat. Comput. 17 (1) (2007)
Martin Crowder, David J. Hand, Wojtek J. Krzanowski
On optimal intervention for customer lifetime value. Eur. J. Oper. Res. 183 (3) (2007)
Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. CBMS (2007)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernandez, Wojtek J. Krzanowski, Vitaly Schetinin
Classification with Confidence for Critical Systems. SSS (2006)
Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernandez
Optimising Data-Driven Safety Related Systems. SSS (2006)
Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
Confidence in Classification: A Bayesian Approach. J. Classif. 23 (2) (2006)
Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC (2006)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5 (4) (2006)
Heather L. Turner, Trevor C. Bailey, Wojtek J. Krzanowski, Cheryl A. Hemingway
Biclustering Models for Structured Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. 2 (4) (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR (2005)
David J. Hand, Wojtek J. Krzanowski
Optimising k. Comput. Stat. Data Anal. 49 (4) (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR (2005)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR (2005)
Heather L. Turner, Trevor C. Bailey, Wojtek J. Krzanowski
Improved biclustering of microarray data demonstrated through systematic performance tests. Comput. Stat. Data Anal. 48 (2) (2005)
S. Ejaz Ahmed, Wojtek J. Krzanowski
Biased estimation in a simple multivariate regression model. Comput. Stat. Data Anal. 45 (4) (2004)
Julie Badcock, Trevor C. Bailey, Philip Jonathan, Wojtek J. Krzanowski
Two Projection Methods for Use in the Analysis of Multivariate Process Data With an Illustration in Petrochemical Production. Technometrics 46 (4) (2004)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL (2004)
Philip Jonathan, Wojtek J. Krzanowski, W. V. McCarthy
On the use of cross-validation to assess performance in multivariate prediction. Stat. Comput. 10 (3) (2000)
O. Asparoukhov, Wojtek J. Krzanowski
Non-parametric smoothing of the location model in mixed variable discrimination. Stat. Comput. 10 (4) (2000)
Wojtek J. Krzanowski
Recent trends and developments in computational multivariate analysis. Stat. Comput. 7 (2) (1997)
Derek Partridge, Wojtek J. Krzanowski
Software diversity: practical statistics for its measurement and exploitation. Inf. Softw. Technol. 39 (10) (1997)
C. J. Lawrence, Wojtek J. Krzanowski
Mixture separation for mixed-mode data. Stat. Comput. 6 (1) (1996)
Wojtek J. Krzanowski
Efficient cross-validation of principal components. Stat. Comput. 6 (2) (1996)
Wojtek J. Krzanowski
A stopping rule for structure-preserving variable selection. Stat. Comput. 6 (1) (1996)