Anna Bartkowiak -- list of papers from 1991

    2008

  1. Anna Bartkowiak, Adam Szustalewicz, Intrinsic Dimensionality of Data and of their Representatives. A Case Study of Amino-Acid Distribution in ORFs}. V.Snasel, et al., (Eds): CISIM2008, 7th Int. Conf. 'Computer Information Systems and Industrial Management Applications'. Ostrava, IEEE Proceedings, Published by the IEEE Computer Society, Los Alamitos, CA. pp. 177-182,
  2. Anna Bartkowiak, Nonlinear Dimensionality Reduction by Isomap and MLEdim as Applied to Amino-Acid Distribution in Yeast ORFs. V. Snasel et al., (Eds), CISIM2008, 7th Int. Conf. 'Computer Information Systems and Industrial Management Applications'. Ostrava, June 26-28, 2008.182--188. IEEE Proceedings, Published by the IEEE Computer Society, Los Alamitos, CA.
  3. Anna Bartkowiak, Adam Szustalewicz, Distribution of Amino-Acids Coding Genetic Information in Yeast Orfs, 15th International Multi-Conference on Advanced Computer Systems, 15-17 October 2008, Międzyzdroje, Technical University of Szczecin. electronic publication, pp. 1-8.
  4. Anna Bartkowiak, Orf length is negative binomial -- why? In: P. Brito, Ed., Proceedings in Computational Statistics, Contributed papers on CD, pp. 291--298. Physica Verlag, a Springer Company.

2007

  1. Bartkowiak, A. Should normal distribution be normal? The Student's t alternative. In: K. Saeed, A. Abraham, R. Mosdorf (Eds), CISIM2007, 6th Int. Conf. 'Computer Information Systems and Industrial Management Applications', Elk, Poland, June 28-30 , IEEE Proceedings, Published by the IEEE Computer Society Los Alamitos, CA.
  2. Bartkowiak A. Long-term patterns in some stock data. IASC 07 Conf. 'Statistics for Data Mining, Learning and Knowledge Extraction' 30th Aug. to Sept. 1st, 2007, Aveiro, Portugal, Electronic Proceedings, Edited by: Ferreira, C., Lauro, C., Saporta, G. and Souto de Miranda, M., printed in CD, file no. 67, pp. 1-8.
  3. Anna Bartkowiak,Comparing the distribution of the WIG20 and S\&P500 index. Hercma 2007, The 8th Hellenic European Research on Computer Mathematics &&; its Applications Conference', Sept. 20-22, 2007, Athens University of Economics and Business, Athens, Hellas. Book of Abstracts, pp. 101 -- 105. Full paper: Electronic print, A. Lipitakis (Ed), Lea Publishers Athens.
  4. Anna Bartkowiak, Niki Evelpidou, 'Visualization of Some Multi-Class Erosion Data Using GDA and Supervised SOM.' Book Chapter in: Khalid Saeed, Jerzy Pejaś and Romuald Mosdorf (Eds), Biometrics, Computer Security Systems and Artificial Intelligence Applications. Springer.
  5. Anna Bartkowiak, Niki Evelpidou and Andreas Vasilopoulos, 'Visualization of Five Erosion Risk Classes using Kernel Discriminants' Book Chapter in: Jerzy Pejaś and Khalid Saeed (Eds), Advances in Information Processing and Protection. Part I, Pages 169-178. Springer.

2006

  1. A. Bartkowiak and K. Gorski, Personal Authentication from Palm Scans: An Introduction. In: J. Pejaś, I. El Fray, Khalid Saeed (Eds): ACS 2006, 13th International Multi-Conference on Advanced Computer Systems. October 18-20, Miedzyzdroje, Publication in CD. Subject: Computer Security and Safety. Paper nb. 15. pp. 1-14.
  2. A. Bartkowiak and N. Evelpidou, Visualizing some multi-class erosion data using kernel methods. In: A. Rizzi, M. Vichi (Eds), COMPSTAT 2006, Proceedings in Computational Statistics. Physica Verlag, A Springer Company. pp. 805–812.
  3. Bartkowiak Anna, Evelpidou Niki, Visualization of Some Multi-Class Erosion Data Using GDA and Supervised SOM. In: Khalid Saeed, J. Pejas and R. Mosdorf (Eds), Biometrics, Computer Security Systems and Artificial Intelligence Applications, Springer Science+Business Media LLC, New York, pp. 13--22.
  4. A. Bartkowiak and A. Szustalewicz, Kernel Discriminant Analysis – a Practice Using the UCI Wine Data. In: J. Hartmann, J. Michalek, Eds, Biometricke metody a modely w soucasne vede a vyskumu, Sbornik referatu. UKZUZ Brno, 2006,

2005

  1. Anna Bartkowiak, Nickolay T. Trendafilov, Feature extraction by the SCoTLASS: an illustrative example. in: M.A. Klopotek, et al., (Eds), Intelligent InformationProcessing and Web Mining, Proceedings of the Int. IIS:IIPWM'05 Conference, June 13--16, Gdansk, pp.3--11. Springer Series 'Advances in Soft Computing'.
  2. Anna Bartkowiak, Niki Evelpidou, Visualization of multivariate data with additional class information. In: K. Saeed et al., Eds, Image Analysis, Computer Graphics, Security Systemsand Artificial Intelligence Applications. Vol. I. Issued by WSFiZ,Bialystok 2005. pp. 307–320.
  3. A. Bartkowiak, Data points viewed in Kohonen's self-organizing maps. Neural Network World, 15 (4), pp. 205;ndash;302.
  4. Anna Bartkowiak, Robust Mahalanobis distances obtained using the 'multout' and 'fast-mcd' methods. Biocybernetics and Biomedical Engineering, 25 (1) pp. 7–21.
  5. Anna Bartkowiak, Piotr Lipinski, Remarks on evaluation of correlation dimension for 5 French stock data. SYNASC'05, 7th Symposium on Symbolic and Numeric Algorithms forScientific Computing. Main track papers. West University of Timisoara, and University Johannes Kepler, Linz, IeAT Technical Report 05-06 pp 91–98.
  6. Anna Bartkowiak, Joanna Zdziarek, Niki Evelpidou, Andreas Vassilopoulos, 'Choosing representative data items: Kohonen, Neural Gas or Mixture Model?' Book chapter in: J. Pejas, A. Piegat (Eds), Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. pp. 337–344. Kluwer AcademicPublishers, e-book Springer, New York.

2004

  1. Bartkowiak A., Visualizing large data by the SOM and GTM methods –what are we obtaining? In: M. A. Klopotek, A.T. Wierzchon, K. Trojanowski (Eds), Intelligent InformationProcessing and Web Mining. Proc. of the Int. IIS:IIP WM'04 Conference, May 17-20, Zakopane, pp. 399&ndash403. Springer Series: Advances in Soft Computing. abstractZak04.pdf
  2. Bartkowiak A., Data points viewed in Kohonen's self-organizing maps.In J. Antoch (Ed), COMPSTAT 2004, Proceedings in Computational Statistics, 16th Symposium held in Prague, Physica-Verlag, A Springer Company,647–654.
  3. A. Bartkowiak, S. Cebrat, P. Mackiewicz,Probabilistic PCA and neural networks in search of representative features for some yeast genome data, In: T. Burczynski, W. Cholewa and W. Moczulski W. (Eds), Recent Developments inArtificial Intelligence Methods, Politechnika Gliwicka, AI--METH Series, pp. 21--26.

2003

  1. A. Bartkowiak, A. Szustalewicz, S. Cebrat, and P. Mackiewicz, Kohonen's self-organizing maps as applied to graphical visualization of some yeast DNA data. Biometrical Letters 40(2), 37--56.
    manuscript lb0ff.pdf and plots.pdf 1.2M
  2. A. Bartkowiak SOM and GTM. Comparison in Figures. Report December 2003.
    rep03-part1.pdf 1.4M ~~ rep03-part2.pdf 0.3M
  3. Bartkowiak A., Vassilopoulos A., Evelpidou N., Choosing data vectors representing a huge data set: Kohonen's SOM applied to the Kefallinia erosion data. Proceedings of the First Int. Conf. on Environmental Research and Assessment, March 23-27, Bucharest, pp. 505–521, print on line CD-ROM, Ars Docendi Publishing House, Bucharest, Romania.
  4. Bartkowiak A., Szustalewicz A., Evelpidou N., Vassilopoulos A., Choosing data vectors representing a huge data set: a comparison of Kohonen's maps and the neural gas method. Proceedings of the First Int. Conf. on Environmental Research and Assessment, March 23-27, Bucharest, pp. 561\ndash;572, print on line CD-ROM, Ars Docendi Publishing House, Bucharest, Romania.
  5. Bartkowiak A., Zdziarek J., Outliers – a continuing problem. Bulletin of the Int. Statistical Institute, 54th Session, Proceedings. Berlin August 2003. Electronic publications in disk, pp. 1--2.
  6. Bartkowiak A., Zdziarek J., Evelpidou N., Vasilopulos N.: Choosing representative data items: Kohonen, Neural Gas or Mixture Model? A case study of erosion data. ACS'2003, Szczecin-Międzyzdroje October 2003. Electronic publication in disk. 8 pp.

2002

  1. A. Bartkowiak, K. Zietak, Backprojection of data vectors using a given covariance matrix. In: J. Soldek, J. Pejas (Eds), Advanced Computer Systems,ACS'2001, Kluwer Academic Publishers, Boston/Dordrecht/ London, Kluwer, pp. 27–38.
  2. A. Bartkowiak, N. Evelpidou, Logistic discriminant analysis and probabilistic neural networks in estimating erosion risk. In: S. Klinke, P. Ahrend, L. Richter (Eds), Proceedings of the Conference COMPSTAT 2002, 24&ndash28 August, Berlin, Germany, Short Communications and Posters, 2 pages. Published in CD.
  3. Bartkowiak A., Evelpidou N., Vassilopoulos A. Self-organizing maps as a tool for comparison of two classifications. Invited paper. Sbornik referatu XV. letni skoly biometriky, 2–6 September, Lednice, pp. 5&ndash14.
  4. A. Bartkowiak, Th. Gournelos, N. Evelpidou, A. Vassilopoulos, Self-organizing maps – a helpful tool in clustering areas with similar factors of erosion risk. Proceedings of the 6th Pan-Hellenic Geographical Congress of the Hellenic Geographical Society, 3-5 October, Thessaloniki. V. 2, Carthography, Remote Sensing and Environment, pp. 87–94.
  5. A. Bartkowiak, N. Evelpidou, A. Vassilopoulos, Problems encountered when determining the risk of an event in case of imprecise information. Invited paper. In: T. Burzynski, W. Cholewa, W. Moczulski (eds), AI-METH 2002, Methods of Artificial Intelligence, Nov. 13–15, Gliwice. Silesian Univ. of Technology and Polish Association for Computational Mechanics.

2001

  1. (ABA) An interesting grouping of Polish voievodeships obtained by self-organizing maps. Biometrical Letters, 38(2), 67-79. manuscript ps.gz.ps
  2. (ABA) A Set of XLispStat Subroutines for Detecting Outliers. In: K. Hornik & F. Leisch (eds), DSC 2001 Proceedings of the 2nd International Workshop on Distributed Statistical Computing, March 15–17, Vienna, pp. 1--8. Electronic publication
  3. (with K. Zietak) Backprojection of data vectors using a given covariance matrix. In J. Soldek, J. Pejas (Eds), Advanced Computer Systems, Eighth International Conference, ACS '2001, Part I, pp. 27 &ndash 38.
    Also: ADVANCED COMPUTER SYSTEMS, Eds. J. Soldek, J. Pejas, Kluwer Academic Publishers, 2002, 27--38.
  4. (ABA) A semi-stochastic grand tour for identifying outliers and finding a clean subset. Biometrical Letters, 38(1), pp. 11–31. manuscript ps.gz.ps

2000

  1. (with A. Szustalewicz) Outliers -- finding and classifying which genuine and which spurious. Computational Statistics, 15(1), 3 - 12.
  2. (with K. Zietak) Correcting possible non–positiveness of a covariance matrix estimated elementwise in a robust way. In J. Soldek, J. Pejas, Eds, ACS'2000, Advanced Computer Systems, 23 - 25 October, Szczecin, pp. 91-96. Published by Informa,Computer Science & Information Systems, Technical University of Szczecin.
  3. (with A. Szustalewicz and J. Zdziarek) Logistic Discriminant function – how much advantages over the linear one? Biometrical Letters 37(1), pp. 21 - 40. manuscript .ps
  4. (with A. Szustalewicz) Two Non-Conventional Methods for Visualization of Multivariate Two-Group Data. Biocybernetics and Biomedical Engineering, 20(4), pp. 5 - 20. manuscript .ps
  5. (ABA) Identifying Multivariate Outliers by Dynamic Graphics -- As Applied to Some Medical Data. In M. Ahsanullah and F. Yildirim (Eds), Applied Statistical Science IV, Nova Science Publishers, New York, pp. 29 - 36.

    1999

  6. (with A. Szustalewicz) Some modern techniques for viewing multivariate data - a comparative look. IIS, Intelligent Information Systems VIII, Proceedings of the workshop held in Ustron, Poland, June 14-18, 1999. 7-11. manuscript .ps
  7. (with P. Piotrowicz and A. Szustalewicz) Detecting outliers in multivariate data by use of Kohonen's self-organizing maps J. So/ldek, J. Peja\'{s}, Eds, ACS, Advanced Computer Systems, Sixth International Conference, Szczecin November 1999, Proceedings, Fac. of Computer Science & Information Systems, Technical University of Szczecin, Informa, 321--328. manuscript .ps
  8. (with S. Cebrat and P. Mackiewicz) Some statistical problems arising when investigating DNA sequences. HSSS, Second European Conference on Highly Structured Stochasic Systems, Pavia, 14th--18th September 1999, Book of Abstracts, 19--23. manuscript .ps
  9. (.) Two methods for graphical assessment of multivariate outliers. Resume for XXXI Journees de Statistique, 17-21 Mai 1999, Grenoble, France. 4 pages. .ps

    1998

  10. (with A. Szustalewicz) Outliers - which genuine and which spurious. In Ph. Nanopoulos, P. Garonna, C. Lauro (Eds), NTTS'98, Int. Seminar on New Techniques and Technologies for Statistics, Contributed Papers, Sorrento, Italy, ARPA Napoli, 1998, pp. 61--66.
  11. (with A. Szustalewicz) Watchings steps of a grand tour implementations. Machine Graphics & Vision, 7(3), pp. 655 - 680. manuscript .ps
  12. (ABA) Finding multivariate outliers. Prague Stochastics 23-28.08.1998. Volume 1, 15-20. manuscript .ps
  13. (ABA) Finding Regressional outliers using dynamic projections. XIII. Letni Skolu Biometriky, 21-25.09.1998 w Cikhaju, Czech Republik manuscript .ps
  14. (ABA) Identifying outliers - a look by a grand tour. In D. Almorza, H.M. Ramos (Eds), Applied Sciences and the Environment, WITPRESS, Boston, Southampton, 1998, pp. 13--21.

    1997

  15. (with A. Szustalewicz) Detecting multivariate outliers by a grand tour. Machine Graphics and Vision V.6, 1997, pp. 487 - 505. manuscript .ps

    1996 - 1995

  16. (with A. Szustalewicz) Some issues connected with a 3D representation of multivariate data points. Machine Graphics and Vision 5(4), pp. 563-577. issues.pdf + issuesFIGS.pdf
  17. (with A. Szustalewicz) The augmented biplot and some examples of its use. Machine Graphics and Vision 4(3/4), 1995, pp. 161-185. biaug.pdf

    1991 - 1997

  18. (ABA) List of ABA's papers 1991 - 1997 -- listed under publications of the Numerical Analysis Division of IInUWr