Anna Bartkowiak, papers from 1990

recent from 2012 to 2017

  1. Anna M. Bartkowiak, 'Classic and convex non-negative matrix visualization in clustering two benchmark data'. Przeglad Elektrotechniczny 93 (2017), 1, pp. 53-59. doi: 10.15199/48.2017.01.14. PEClassicAndConvex.pdf~ qACS16slides.pdf
  2. Anna Bartkowiak, Review of the book: Bayesian methods in health economics, author: Gianluca Baio, CRC press 2012 . Review printed in ISCB News, International Society for Clinical Biostatistics, Nb.62, Dec.2016, p. 36. reviewBayesH.pdf
  3. Anna M. Bartkowiak, Radoslaw Zimroz: NMF and PCA as applied to gearbox data. In: K. Jackowski, R. Burduk, K.Walkowiak, Michał Wozniak, Hujun Yin: (Eds) Intelligent Data Engineering and Automated Learning - IDEAL 2015 LNCS 9375, pp. 199 - 206. 16th Int. Conf. Wroclaw Poland, October 14-16, 2015, Proceedings. Springer International Publishing Switzerland 2015 DOI 10.1007/978-3-319-24834-9_24 ISBN 978-3-319-24833-2 book ( ISBN 978-3-319-24834-9 ebook) IDEAL15nmf9.pdf
  4. Anna M. Bartkowiak, Radoslaw Zimroz, Probabilistic Principal Components and Mixtures, How This Works? In: K. Saeed and W. Homenda (Eds.): Computer Information Systems and Industrial Management, 14th IFIP TC 8 International Conference, CISIM 2015 LNCS 9339, pp. 24 - 35, Warsaw, Poland, September 24–26, 2015 Proceedings DOI 10.1007/978-3-319-24369-6_2 abstractCIS15.pdf + presentationCIS15.pdf
  5. A. Bartkowiak, R. Zimroz, Dimensionality reduction via variables selection - Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox, Applied Accoustics 77 (2014), March, 169-177. Elsevier.
  6. R. Zimroz and A. Bartkowiak, Two simple multivariate procedures for monitoring planetary gearboxes in non-stationary operating conditions. Mech. Syst. Signal Process. 38 (2013), 1, 237-247, Elsevier.
  7. A. Bartkowiak, R. Zimroz, Efficacy of some primary discriminant functions in diagnosing planetary gearboxes, (Invited paper). In: K. Saeed et al., (Eds), Computer Information Systems and Industrial Management, 12th IFIP TC8 International Conference, CISIM 2013, Krakow, Poland, Sept. 25-27, 2013 Springer LNCS 8104, pp. 24-35, 2013.
  8. A. Bartkowiak, R. Zimroz Curvilinear component analysis in search of dimensionality and structure of some gearbox data Proceedings of the Federated Conference on Computer Science and Information Systems pp. 27–34, available via IEEE Xplore Digital Library, 978-83-60810-51-4 2012 IEEE.
  9. A. Bartkowiak, R. Zimroz, Data dimension reduction and visualization with application to multi dimensional gearbox diagnostics data: comparison of several methods. In: Diffusion and Defect Data Pt.B: Solid State Phenomena Vol. 180 (2012), 177-184, Trans Tech Publications, Switzerland, Electronic localisation: http://dx.doi.org/10.4028/www.scientific.net/SSP.180.177 Mechatronic Systems, Mechanics and Materials Edited by Zygmunt Kitowski, Jerzy Garus and Piotr Szymak.
  10. R. Zimroz and A. Bartkowiak, Multidimensional data analysis for condition monitoring: features selection and data classification. BINDT 2012, The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies. Electronic Proceedings,[CD-ROM]. Paper 402, pp. 1-12. Coxmoor Publishing Co., Oxfordshire, 2012, ISBN 978-1-901892-36-9.
  11. Anna Bartkowiak, Radoslaw Zimroz, Curvilinear dimensionality reduction of data for gearbox condition monitoring, Przegląd Elektrotechniczny (Electrical Review), ISSN 0033-2097, vol 88 nr 10b/2012, pp. 268-271.

2011

  1. A. Bartkowiak, Anomaly, novelty, one-class classification: a comprehensive introduction. International Journal of Computer Systems and Industrial Management Applications. ISSN 2150-7988 Vol 3 (2011) pp. 061-071. MIR Labs, www.mirlabs.net/ijcisim/index.html
  2. A. Bartkowiak, R. Zimroz, Outliers analysis and one class classification approach for planetary gearbox diagnosis, (9th Int. Conf. on Dammage Assessment of Structures DAMAS 2011, Oxford UK.), J.~Phys. Conf. Ser. vol. 305, 2011, 012031, pp. 1-10, IOP Publishing, doi:10.1088/1742-6596/305/1/012031
  3. R. Zimroz, A. Bartkowiak, Investigation on spectral structure of gearbox vibration signals by principal component analysis for condition monitoring purposes, Proceedings of the 9th International Conference on Damage Assessment of Structures, DAMAS 2011, Oxford U.K., (9th Int. Conf. on Dammage Assessment of Structures, DAMAS 2011, Oxford UK), J.~Phys. Conf. Ser. vol. 305, 2011, 012075, pp. 1-10, IOP Publishing, doi:10.1088/1742-6596/305/1/012075
  4. A. Bartkowiak, R. Zimroz, Sparse PCA for gearbox diagnostics, In: M.~Ganhza, L. Maciaszek, M. Paprzycki (Eds), Proceedings of the Federated Conference Computer Science and Information Systems, ISBN 978-83-60810 pp. 25-31. paper.pdf Conference FEDCSIS 2011 IEEE Xplore 2011.
  5. A. Bartkowiak, A. Szustalewicz, LARS regression in diagnosing mammograms: selection of variables for analysis. Colloquium Biometricum 41 (2011) pp. 73-86.
  6. A.M. Bartkowiak, Command and Block Profiles for Legitimate Users of a Computer Network. in: N. Chaki and A. Cortesi (Eds.): CISIM 2011, Communications in Computers and Information Science (CCIS) Vol. 245, pp. 295-304. Springer, Heidelberg (2011).

2010

  1. A. Bartkowiak, Outliers in biometrical data: What’s old, What’s new, Int. J. of Biometrics, Vol. 2, No. 1, 2010, pp.2-18.
  2. A. Bartkowiak, Outliers in some Faces and nonFaces data. Int. J. of Biometrics, Vol. 2, No. 3, 2010, pp. 203-221.
  3. A. Bartkowiak, A. Szustalewicz, Comparison of ORF length in yeast DNA code observed in sixteen yeast chromosomes, Y. Lechevallier, G. Saporta, (Eds), Compstat 2010, 19th Int. Conference on Computational Statistics, Keynote, Invited and Contributed Papers, pp. 745-752, Physica-Verlag, A Springer Company. E-book at springerlink.com ESM\COMPSTAT\ebook.pdf ESM_COMSTAT_ebook   pp. 123-130.
  4. A. Bartkowiak, Anomaly, novelty, one-class classification. A short introduction. In: A. Abraham, K. Saeed, and Vaclav Snasel (Eds), Computer Information Systems and Industrial Management Applications (Cisim) Proceedings. Keynote paper, pp. 1-6. IEEE 2010. IEEE Catalog Number: CFP1040C-CDR. ISBN: 978-1-4244-7816-3.

2009

  1. A. Bartkowiak, and A. Szustalewicz, Are amino acids counts in yeast ORFs negative binomial? International Journal of Biometrics, vol. 1, no. 3, 2009, pp. 268-287.
  2. Bartkowiak A., Outliers in biometrical data – two real examples of analysis. In: Khalid Saeed et al., Eds, 2009 Int'l Conf. on Biometrics and Kansei Engineering, ICBAKE 2009, 25-28 June 2009, Cieszyn, Poland. IEEE Computer Society Conference Publishing Services, Los Alamitos, CA, CPS Online, pp. 1-6.
  3. A. Bartkowiak, Modelling Occurrence of Amino-Acids in Yeast DNA code. BERE2009 Abstracts. Symposium on Biomathematics and Ecology Research and Education. June 13-17, 2009, Izmir University of Economics, Turkey.
  4. A. Bartkowiak, Search for outliers in abnormal data - a case study on frequencies of amino-acids in DNA code. ACS-AISBITS, 16th Intnl. Multi-Conf Conference on Advanced Computer Systems, Artificial Intelligence, Software Technologies, Biometrics and Information Technology security, 14-16th October 2009, Szczecin-Międzyzdroje. Electronic proceedings.   a1.pdf ,   kera11.pdf

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 dsistribution 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, 2008. 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 and 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. ISBN 978-960-88975-3-3. Bartkowiak-1.pdf, pp. 1-9.
  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 2007.
  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 2007.

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, pp. 45-56. ISBN 80-86548-89-9.

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, Distal points viewed in Kohonen's self-organizing maps. Neural Network World, 15 (4), pp. 205–302. manuscript05.pdf
  4. Anna Bartkowiak, Robust Mahalanobis distances obtained using the 'multout' and 'fast-mcd' methods. Biocybernetics and Biomedical Engineering, 25 (1) pp. 7–21.
    bbe05.pdf
  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. 399–403. Springer Series: Advances in Soft Computing. abstractZak04.pdf
  2. Bartkowiak A., Distal 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, pp. 647–654. Slpraha2004.pdf
  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 in Artificial 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. 561–572, 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, 24–28 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. 5–14.
  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, Greece. 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. A. Bartkowiak, An interesting grouping of Polish voievodeships obtained by self-organizing maps. Biometrical Letters, 38(2), 67-79. manuscript ps.gz.ps
  2. A. Bartkowiak, 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. A. Bartkowiak and 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 –38.
    Also: Advanced Computer Systems, Eds. J. Soldek, J. Pejas, Kluwer Academic Publishers, 2002, 27-38.
  4. A. Bartkowiak A semi-stochastic grand tour for identifying outliers and finding a clean subset. Biometrical Letters, 38(1) 2001, pp. 11–31. manuscript ps.gz.ps
  5. Anna Bartkowiak, An Attempt of Recognizing Genes in DNA sequences. Meeting of the Classification and Data Analysis Group (CLADAG), Italian Statistical Society, University of Palermo, July 5-6, 2001, Book of Short Papers, CLADAG 2001, Palermo, Italy, pp. 205-208.

2000

  1. A. Bartkowiak, and A. Szustalewicz Outliers - finding and classifying which genuine and which spurious. Computational Statistics, 15(1) 2000, 3 - 12.
  2. A. Bartkowiak, and 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. (A. Bartkowiak, A. Szustalewicz, and J. Zdziarek, Logistic Discriminant function – how much advantages over the linear one? Biometrical Letters 37(1), 2000, pp. 21 - 40. manuscript .ps
  4. A. Bartkowiak, and A. Szustalewicz, Two Non-Conventional Methods for Visualization of Multivariate Two-Group Data. Biocybernetics and Biomedical Engineering, 20(4), 2000, pp. 5 - 20. manuscript .ps

1999

  1. A. Bartkowiak: 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.
  2. A. Bartkowiak, 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
  3. A. Bartkowiak, 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
  4. A. Bartkowiak, 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. abstract .ps or abstract .pdf Working paper: A. Bartkowiak, S. Cebrat, and P. Mackiewicz: Pattern recognition study on coding and non coding DNA information pp. 1-10. DnaPavia.ps or DnaPavia.pdf
  5. A. Bartkowiak: Two methods for graphical assessment of multivariate outliers. Resume for XXXI Journees de Statistique, 17-21 Mai 1999, Grenoble, France. 4 pages. Comite Francophone de Statistique. .ps

1998

  1. A. Bartkowiak, 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.
  2. A. Bartkowiak, A. Szustalewicz, Watchings steps of a grand tour implementations. Machine Graphics & Vision, 7(3), pp. 655 - 680. manuscript .ps
  3. A. Bartkowiak: Finding multivariate outliers. Prague Stochastics 23-28.08.1998. Volume 1, 15-20. manuscript.ps
  4. A. Bartkowiak: Finding Regressional outliers using dynamic projections. XIII Letni Skolu Biometriky, 21-25.09.1998 w Cikhaju, Czech Republik cikhaj98.ps or cikhaj98.ps .pdf
  5. A. Bartkowiak: 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.
  6. A. Bartkowiak, A. Szustalewicz: Predictions of outliers: Which tool to choose? In: M.A. Klopotek, M. Michalewicz, Z.W. Ras (Eds), Intelligent Information Systems VII, Proceedings of the Workshop held in Malbork, Poland 15-19 June, 1998. pp. 267-270. iis98.pdf

1997

  1. A. Bartkowiak, A. Szustalewicz: Detecting multivariate outliers by a grand tour. Machine Graphics and Vision V.6, 1997, pp. 487 - 505. manuscript .ps
  2. A. Bartkowiak, K. Kala, J. Witkowski: AVP and C+R plots - competition or complementation? In: J. Janssen, C.N. Lauro (eds), Applied Stochastic Models and Data Analysis. The Ins and Outs of Solving Real Problems, Anacapri (Napoli - Italia) June 11-14, 1997. Contributed Papers. Rocco Curto Editore, Napoli 1997, pp. 31-36.
  3. A. Bartkowiak, A. Szustalewicz: Discriminant Analysis Using Neural Network algorithms from MatLab - experience with two data sets. In: R. Tadeusiewicz, L. Rutkowski, J. Chojcan (Eds.): Neural Networks and Their Applications. Proceedings of the 3rd Conf., Kule 14-18.X.1997. Polish Neural Networks Society, Czestochowa 1997, pp. 215-220.
  4. A. Bartkowiak, W. Kupść, P. Kurjata, J. Witkowski: Graphical assistance for determining quadratic terms to be added to a linear regression model. XLII Sesja Naukowa z Biometrii, Poznan 5-6. 12. 1997, Polish Biometrical Society, 1997, 3-10.
  5. A. Szustalewicz, A. Bartkowiak: Discriminant analysis using neural network: bad and good experience. XLII Sesja Naukowa z Biometrii}, Poznan 5-6. 12. 1997, Polish Biometrical Society, 1997, 129-135.
  6. Bartkowiak A., Szustalewicz A., Detecting multivariate outliers by a grand tour, Machine Graphics & Vision, 6, no 4, 1997, 487-505.
  7. Bartkowiak, A., Some basics for detecting multivariate outliers in regressional context. Biocybernetics & Biomedical Engineering, 17 (1997), 57-83.
  8. Bartkowiak A., Liebhart J., Szustalewicz A., Visualizing the correlation structure of some spirometric data by a biplot extended to 3 dimensions. Biocybernetics & Biomedical Engineering. 17 (1997), 85-99.

1996

  1. Bartkowiak Anna: Search for multivariate outliers in regressional context. 34th ISCB Seminar: Statistics and Clinical Practice, Warsaw June 24-28 1996, PAN i Miedzynarodowe Centrum Biocybernetyki, Warszawa 1996, pp. 29-31.
  2. Bartkowiak A., Liebhart J., Szustalewicz A.: Visualising the correlation structure by a biplot extended to 3 dimensions. 34th ISCB Seminar: Statistics and Clinical Practice, Warsaw June 24-28 1996, PAN i Międzynarodowe Centrum Biocybernetyki, Warszawa 1996, pp. 50-53. AbaLiebh96VisBipl.pdf
  3. A. Bartkowiak: Sampling a multi-trait representative sample. Listy Biometryczne - Biometrical Letters 33 (1996), No 2, 59-69. LB96SamplingMultitrait.pdf
  4. A. Bartkowiak, A. Szustalewicz: Some issues connected with a 3D representation of multivariate data points. Machine Graphics & Vision 5 (1996), 563-577     issues96full.pdf   or   issuesWithoutFigs.pdf   and   issuesOnlyFigs.pdf

1995

  1. Bartkowiak Anna, Jerzy Liebhart: Estimation of the Spirometric Residual Volume by a regression built from Gower Distances. Biometrical Journal 37, 2, 1995, 131-149.
  2. Jerzy Liebhart, Anna Bartkowiak: A distance-based regression method as applied in spirometry for estimation of residual volume. Biocybernetics and Biom. Engineering. 15(1995), 3-4, 35-51. LiebhAba95DistBased.pdf
  3. Anna Bartkowiak: Distance-based regression in some heliophysical data analysis. In: E.M. Tiit et al, Eds, New trends in Probability and Statistics. V.3. Multivariate Statistics and Matrices in Statistics. VSP/TEV, Vilnius, Utrecht, 1995, 181-195. ISBN 90-6764-195-2 (VSP), ISBN 9986-546-03-6(TEV)
  4. Anna Bartkowiak: Exploratory data analysis, its historical development, what it is today. Biocybernetics and Biomedical Engineering, 15, Nb 1-2, 1995, 85-120.
  5. Anna Bartkowiak, Witold Kupsc: Regression Modeling of the Polish Mortality Data 1989-1991. Mortality of men. Biometrical Letters, 32(1995), Nb 2, 61- 80.
  6. Bartkowiak A., Liskiewicz T.: A dilemma: Good model fit or stability of coefficients in the model equation. Models and Forecasts '89, - Macromodels '89. Uniwersytet Lodzki 1995, pp. 281-295. (1995) ISBN 83-7016-890-6.
  7. Anna Bartkowiak i Adam Szustalewicz: The augmented biplot and some examples of its use. Machine Graphics and vision, Vol. 4(1995), nos. 3/4, pp. 161-185. biaug.pdf

1994

  1. Jakimiec M., Bartkowiak A.: Short-term Solar Flare Predictions by Distance-based Regression. I. Bearalert Regions in 1988 and 1989 - Continuous Predictors. Acta Astronomica Vol. 44 (1994), 115-140.
  2. Bartkowiak A., Jakimiec M.: Distance-based regression in prediction of solar flare activity. Questiio 18 (1994), Nb 1, 7-38.
  3. Bartkowiak A.: Finding an Epsilon-Optimal Discriminative Subset. W: F. Faulbaum (ed), SoftStat '93, Advances in Statistical Software 4. Gustav Fisher, Stuttgart, Jena, New York (ISBN 3-437- 40324-9, US ISCB 1-56081-399-7) 1994, pp. 613-618.
  4. Bartkowiak A.: Search for Representative Variables with Selective Graphing. Biocybernetics and Biom. Engineering. 14, 1-2, 1994.
  5. Anna Bartkowiak: Practice of computing distance-based regression, How many PC's are relevant? In: ASA Annual Meeting, Statistical Computing Section, Toronto 1994, pp. 235 - 238 DistBasedASA94.pdf

1993

  1. Bartkowiak A.: Programming nonorthogonal analysis of variance for a PC computer. Advances in Modelling and Analysis, A, AMSE Press, Vol.14, no 3, 1993, pp. 35-46.
  2. Morgenstern Wolfgang, Bartkowiak A., Guillard J., Scheuermann W., Nussel E.: Search for outliers in 12 large epidemiological studies by use of Mahalanobis distances. Modelling, Measurement and Control, C., AMSE Press, 1993, 34, nb 4.

1992

  1. Bartkowiak A.: Finding an epsilon-optimal subset. Zastosowania Matematyki (Applicationes Mathematicae) 21,3 (1992), 343-347.
  2. A. Bartkowiak, A. Pawlowska, J. Sekula: Investigations on the dimensionality of five weather variables gathered in 29 decades using 15 years. Zeszyty Naukowe Akademii Rolniczej we Wroclawiu, Melioracja XLI, nr 209, 1992, pp. 113-130.
  3. A. Bartkowiak, A. Pawlowska, J. Sekula: Detection of outliers in multivariate weather data gathered in four locations of Poland. Zeszyty Naukowe Akademii Rolniczej we Wrocl awiu}, Melioracja XLI, nr 209, 1992, pp. 131-149.
  4. A. Bartkowiak, A. Pawlowska, J. Sekula: Climatic differentiation among some Polish locations revealed by canonical discriminant analysis. Zeszyty Naukowe Akademii Rolniczej we Wroclawiu}, Melioracja XLI, nr 209, 1992, pp. 151-166.
  5. Bartkowiak A.: PS-STAT. Part 1. Probability Distributions and estimation. AMSE Review, AMSE Press, 22, 1, 1992, 27-40.
  6. Bartkowiak A.: PS-STAT. Part 2. Linear models, Multivariate Topics. AMSE Review , AMSE Press. V22, 1, 1992, 41-52.
  7. Bartkowiak A.: PS-STAT : A package of educational programs in elementary probability and statistics. In S. Koenig (ed), Computational Statistics , Vol. 3, Presses Academiques Neuchatel, 1992, pp. 20-23.
  8. Bartkowiak Anna, Sen Amode R.: Minimum sample size ensuring validity of classical confidence intervals for means of skewed and platykurtic distributions. Biom. J. 34,3, 1992, 367-382.
  9. Bartkowiak A.: An empirical study of robust regression in the presence of outliers blunders. Part I. LAE-type estimators. Biocybernetics and Biomedical Engineering, 1992, 12, nb 1-4, 4-26.
  10. Bartkowiak A.: An empirical study of robust regression in the presence of outliers blunders. Part II. Iteratively reweighted regressions. Biocybernetics and Biomedical Engineering, 1992, 12, nb 1-4, 27-45.

1991

  1. Bartkowiak A.: Search for an epsilon-optimal subset in linear regression. AMSE Review, AMSE Press, Vol. 16, No 4, 1991, pp.47-56.
  2. Bartkowiak A.: Recognition of works of art - a discussion on Leunbach's data. In: R. Gutierrez and M. Valderrama (eds), Applied Stochastic Models and Data Analysis, World Scientific, Singapore, New Jersey, 1991, 65-74.
  3. Bartkowiak A.: How to reveal dimensionality of the data? In: R. Gutierrez and M. Valderrama (eds), Applied Stochastic Models and Data Analysis, World Scientific, Singapore, New Jersey, 1991, 55-64.
  4. Jakimiec M., Bartkowiak A.: Statistical interdependences among characteristics of sunspot groups. Acta Astronomica 41, 1991, 49-60.
  5. Jakimiec M., Paciorek J., Bartkowiak A.: A multivariate comparison of delta and of other magnetic class sunspot groups. Acta Astronomica 41, 1991, 61-71. Arch 26/91.
  6. Bartkowiak, A., Lukasik, S., Chwistecki K.: Statistical evaluation of the effect of gemfibrosil, a cholesterol reducing drug, on some biochemical coronary heart disease risk variables. Biom. J. 33, 1991, 6, 711-718.

1990

  1. Bartkowiak A. and Liebhart J.: Regression diagnostic for the equations estimating TLC from age and some spirometric observations. Modelling, Simulation and Control, 21 (1990), 1-14.
  2. Bartkowiak A. and Liskiewicz T.: A dilemma: Good model fit or stability of coefficients in the model equation. AMSE Review, 12(1990), No 4, 45-58.
  3. Bartkowiak A.: Search of outliers using elemental sets. AMSE Review 14(1990), No 1, 47-51.
  4. Bartkowiak A., \L ukasik S., Chwistecki K., Mrukowicz M., Morgenstern W.: Internal Covariance Structure of Some Coronary Heart Disease Risk Variables Investigated in Two Groups of Data. Biometrical Journal 32(1990), 3, 373-381. CPBP 01.01.
  5. Bartkowiak A., Jakimiec M.: Short-term Predictions of Flare Activity Using a-Trimmed Regression Method. Acta Astronomica 40 (1990),. 169-181.
  6. Jakimiec M., Bartkowiak A.: Atypical Data Vectors and their Influence on Interrelations among Sunspot Groups Characteristics. Acta Astronomica 40 (1990), 159-168.
  7. Bartkowiak A.: Experience in computing optimal regression by branch and bound. Zastosowania Matematyki (Applicationes Mathematicae) 20(1990), No 2, 227-238.
  8. Bartkowiak A.: SVD i biplot. Dwudzieste Colloquium Metodologiczne z Agrobiometrii, PAN i PTB, Siedlce 17-19 wrzesnia 1990. Warszawa, 1990, 284-305.
  9. Bartkowiak A., \L ukasik S., Chwistecki K., Mrukowicz M.: Interdependence between CHD risk factors examined when using linear models with and without transformation of data. Zastosowania Matematyki (Applicationes Mathematicae), 20,3(1990), 377-388.
  10. Bartkowiak A.: On which side of the cloud of data points are located the outliers. AMSE Review, 15, no 2, 1990, pp.17-31.
  11. Bartkowiak A., Jakimiec M.: Robust regression with Huber's weights in predictions of flare activity. Acta Astronomica, 40, 1990, 379-388.
  12. Bartkowiak A.: Bootstrap in analysis of variance for some blood pressure data. Biocybernetics and Biomedical Engineering, 10, 1990, 5-16.
  13. Bartkowiak A.: Clustering of variables - a regressional approach. Proceedings DIANA III, Bechyne June 4-7, 1990, Math. Inst. Czechoslovak Acad. of Sciences, 1990, 1-10.
  14. Bartkowiak A., Jakimiec M.: Robust regression in short-term prediction of solar flare activity. In: Solar-Terrestrial Predictions, Proceedings of a workshop at Leura, Australia, Oct. 16-20, 1989, Vol. 1. Working Group Reports, Invited Papers and Contributed Solar Papers, NOAA, Boulder, Colo, USA, 1990. pp. 297-300.

    $$ Before~ ~1990 $$

  15. Jakimiec M., Bartkowiak A.: Influence of atypical data vectors on the relationships among characteristics of solar active regions. In: Solar-Terrestrial Predictions, Proceedings of a workshop at Leura, Australia, Oct. 16-20, 1989, Vol. 1. Working Group Reports, Invited Papers and Contributed Solar Papers, NOAA, Boulder, Colo, USA, 1990. pp. 455-462.
  16. A. Bartkowiak, S. Lukasik, K. Chwistecki and M. Mrukowicz: Search for the most discriminative features of coronary heart disease using branch and bound method. pp. 373 - 378, 1988. In: E. R. Carson, P. Kneppo and I. Krekule (Eds), Advances in Biological Measurement, Plenum Press New York and London 1st ed., XI + 499 p. ISBN 0 - 306 - 42923 - 3 SearchDiscrBB1988.pdf


List of ABA's papers from 1990 (in English)