Publications

A list of selected research publications (2010-2017)

2017

Article indexed in Web of Science

  1. Paja W. (2018) Generational Feature Elimination to Find All Relevant Feature Subset. In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 72. Springer, Cham, pp. 140-148. 
  2. Paja W., Pancerz K. (2017) Feature Selection Methods Applied to Severe Brain Damages Data. In: Ganzha M., Maciaszek L., Paprzycki M. (eds) Proc. of the 2017 Federated Conference on Computer Science and Information Systems, vol 11. Annals of Computer Science and Information Systems, IEEE, pp. 199-202 

Other

  1. Paja, W., Pancerz, K.: Feature Selection Methods Applied to Severe Brain Damages Data. In: M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, Prague, Czech Republic, September 3–6, 2017, Annals of Computer Science and Information Systems, Vol. 11, PTI, Warsaw, pp. 199-202.
  2. Pancerz, K., Grochowalski, P., Paja, W.: Two Simple Models of Petri Nets over Ontological Graphs: Extended Abstract. In: Proceedings of the International Workshop on Concurrency, Specification and Programming (CS&P'2017), Warsaw, Poland, September 25-27, 2017.

2016

Article indexed in Web of Science

  1. Paja, W.: Feature Selection Methods Based on Decision Rule and Tree Models. In: Czarnowski, I., Caballero, A.M., Howlett, R.J., and Jain, L.C. (eds.) Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) - Part II. pp. 63-70. Springer International Publishing, Cham (2016)

Article in journal from ISI Master Journal List

  1. Paja, W., Wrzesień, M., Niemiec, R., Rudnicki, W.R.: Application of all-relevant feature selection for the failure analysis of parameter-induced simulation crashes in climate models, Geoscientific Model Development 9, 1065-1072 (2016)

Article in proceedings of international conferences

  1. Pancerz, K., Paja, W., Gomuła, J., "Random Forest Feature Selection for Data Coming from Evaluation Sheets of Subjects with ASDs" In: M. Ganzha, L. Maciaszek and M. Paprzycki (Eds.) Proceedings of the 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 299-302, 11-14 Sept. 2016

2015

Article indexed in Web of Science

  1. Rudnicki W.R., Wrzesień M. and Paja W.: All relevant feature selection methods and applications, In: U. Stańczyk, L. Jain (Eds), Feature selection for data and pattern recognition, Studies in Computational Intelligence, vol. 584, Springer-Verlag, Germany, 2015, pp. 11-28.
  2. Paja W., "Medical diagnosis support and accuracy improvement by application of total scoring from feature selection approach" in 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), vol., no., pp.281-286, 13-16 Sept. 2015.

Articles in proceedings of international conferences

  1. Paja, W., Pancerz, K.: “Estimation and Feature Selection by Application of Knowledge Mined from Decision Rules Models”, Proceedings of the 24th International Workshop on Concurrency, Specification and Programming, part 2, Sept. 28-30,  Rzeszow, Poland, 2015, pp. 57-68.

Articles in proceedings of domestic conferences

  1. Paja, W.: „Estymacja i selekcja cech z zastosowaniem informacji ukrytej w modelach regułowych”, Materiały Konferencja Matematyczno-Informatyczna „Congressio Mathematica”, Rzeszów, Poland,  23-25 września 2015.

2013

Article in journal from ISI Master Journal List

  1. Podsiadlo, A., Wrzesien, M., Paja, W., Rudnicki, W. and Wilczynski, B.: Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data, BMC Systems Biology 2013, 7(Suppl 6):S16, ISSN: 1752-0509.


Article indexed in Web of Science

  1. Paja W., Wrzesień M.: Melanoma important features selection using random forest approach, In: Paja, WA, Wilamowski B (Eds) Proc. of the 6th International Conference on Human System Interaction, June 6-8, Sopot 2013, Poland, pp. 415-418.


Book chapter in English

  1. Rudnicki W. R., Wrzesień M. and Paja W.: All relevant feature selection – methods and applications, In: U. Stańczyk, L. Jain (Eds), Feature selection for data and pattern classification, Springer-Verlag, Germany, 2013.


Monograph editions in English

  1. Wilamowski B. M., Paja W.A., Human System Interaction, Proc. of the 6th IEEE International Conference on Human System Interaction, HSI'2013, June 6-8, 2013, Sopot, Poland, ISBN: 978-1-4673-5637-4, 664 pages.


Poster

  1. Wrzesień M., Paja W., Rudnicki W.R., Kursa M., Feature selection – the tool for knowledge discovery, 13th Annual Conference “Bioinformatics in Toruń” (BIT13), Torun, Poland, June 26-29, 2013.

 

2012
Article indexed in Web of Science

  1. Gomuła, J., Paja, W., Pancerz, K., Szkoła, J.: Rule-Based Analysis of MMPI Data Using the Copernicus System. In: Hippe, Z.S., Kulikowski, J.L., Mroczek, T. (Eds.), Human-Computer Systems Interaction. Backgrounds and Applications 2. Part II. Advances in Intelligent and Soft Computing, Vol. 99, Springer-Verlag, Berlin Heidelberg, 2012, pp. 191-203.


Book chapters in English

  1. Cudek P., Paja W., Wrzesień M.: Image Recognition System for Diagnosis Support of Melanoma Skin Lesion, In: P. Bouvry, M. Kłopotek, F. Leprevost, M. Marciniak, A. Mykowiecka, H. Rybiński (Eds), Security and Intelligent Information Systems, LNCS 7053, Springer-Verlag Berlin Heidelberg 2012, pp. 217-225.

  2. Paja W., Wrzesień M.: Decision Rules Development Using Set of Generic Operations Approach. In: Perner, P. (Ed.) Advances in Data Mining. Applications and Theoretical Aspects, LNCS, vol. 7377, pp. 236-242, Springer, Heidelberg (2012).


Articles in proceedings of international conferences

  1. Pancerz, K., Paja, W., Szkoła, J., Warchoł, J., Olchowik, G.: A Rule-Based Classification of Laryngopathies Based on Spectrum Disturbance Analysis - An Exemplary Study. In: S. Van Huffel, C. Correia, A. Fred, H. Gamboa (Eds.), Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS'2012), Vilamoura, Algarve, Portugal, February 1-4, 2012, pp. 458-461.

  2. Pancerz, K., Paja, W., Wrzesień, M., Warchoł, J.: Classification of Voice Signals through Mining Unique Episodes in Temporal Information Systems: A Rough Set Approach. In: L. Popova-Zeugmann (Ed.), Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P'2012), Berlin, Germany, September 26-28, 2012, Vol. 2, pp. 280-291.

 

2011
Articles indexed in Web of Science

  1. Paja W., Pancerz K., Wrzesień M.: A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees, In: J.T. Yao, S. Ramanna, G. Wang, Z. Suraj (Eds), Rough Sets and Knowledge Technology, LNCS 6954, Springer-Verlag Berlin Heidelberg 2011, pp. 89-94.

  2. Cudek P., Paja W., Wrzesień M.: Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition, In: T. Czachórski, S. Kozielski, U. Stanczyk (Eds), Man-Machine Interactions 2, Advances in Intelligent and Soft Computing, (AISC 103), Springer-Verlag Berlin Heidelberg 2011, pp. 189-196.


Book chapters in English

  1. Paja W., Pancerz K., Mroczek T., Gomuła J., Wrzesień M.: Melanoma Diagnosis and Classification Web Center System. The Non-Invasive Diagnosis Support Subsystem, In: P. Perner (Ed.) Advances in Data Mining, LNAI 6870, Springer-Verlag Berlin Heidelberg 2011, pp. 96-105.

  2. Paja W., Wrzesień W.: Experiments with Hybridization and Optimization of Rules Knowledge Base for Classification of MMPI Profiles, In: P. Perner (Ed.) Advances in Data Mining. Applications and Theoretical Aspects, LNAI 6870, Springer-Verlag Berlin Heidelberg 2011, pp. 121-133.

 

2010
Article indexed in Web of Science

  1. Paja W,. Pancerz K. and Wrzesień M., A New Hybrid Method of Generation of Decision Rules Using Constructive Induction Mechanism, In: J. Yu (Ed.), Rough Set and Knowledge Technology, RSKT 2010, LNAI 6401, Springer-Verlag Berlin Heidelberg 2010, pp. 322-327.

  2. Paja W., Wrzesień M., Medical Datasets Analysis: a Constructive Induction Approach, In: P. Perner (Ed.), Advances in Data mining – Applications and Theoretical Aspects, LNAI 6171, Springer Verlag Berlin Heidelberg, 2010, pp. 442-449.


Book chapter in English

  1. Paja W., Wrzesień M., A New Constructive Induction Approach to Medical Datasets Analysis, In: M. A. Kłopotek, M. Marciniak, A. Mykowiecka, W. Penczek, S.T. Wierzchoń (Eds.), Intelligent Information Systems. New Approaches. Publishing House of University of Podlasie, Siedlce 2010, pp. 233-240.


Book chapter in Polish

  1. Paja W., Regułowa reprezentacja wiedzy. W: Z.S. Hippe, J.W. Grzymała-Busse (Red.), Wybrane metody eksploracji danych. Analiza danych niesprzecznych., WSIiZ, Rzeszów 2010, ISBN 978-83-60583-52-4, s. 9-48.


Articles in proceedings of international conferences

  1. Gomula J., Paja W., Pancerz K. and Szkola J., A preliminary attempt to rules generation for mental disorders, In: T. Pardela, B.M.. Wilamowski (Eds.), 3rd International Conference on Human System Interactions, May 13-15, 2010, IEEE Conference Proceedings, Rzeszów 2010, pp. 763-765.

  2. Paja W., Pardela T. and Wrzesień M., A New Decision Rule Optimization Method in Analyzing of Medical Datasets, In: T. Pardela, B.M.. Wilamowski (Eds.), 3rd International Conference on Human System Interactions, May 13-15, 2010, IEEE Conference Proceedings, Rzeszów 2010, pp. 766-769.


2009
Article indexed in Web of Science

  1. Grzymała-Busse J.W., Hippe Z.S., Mroczek T., Paja W. and Buciński A.: A Preliminary Attempt to Validation of Glasgow Outcome Scale for Describing Severe Brain Damages, In: Hippe, Z. S., Kulikowski, J. L. (Eds.), Human-Computer Systems Interaction, Backgrounds and Applications, Series: Advances in Soft Computing, Vol. 60, ISBN: 978-3-642-03201-1, Springer Verlag Berlin Heidelberg 2009, pp. 161-170.


Article in proceedings of international conferences

  1. Paja W., Wrzesień M.: Development of quasi-optimal learning models for classification of melanocytic skin lesions – a constructive induction approach, Proceeding of the 7th Conference Computer Methods and Systems, Oprogramowanie Naukowo-Techniczne, Kraków 2009, pp. 39-42.


2008
Book chapter in Polish

  1. Grzymała-Busse J.W., Hippe Z.S., Mroczek T., Paja W., Buciński A., Strepikowska A., Tutaj A.: Baza udarów mózgu – ocena skali Glasgow i skali Rankina. W: A. Nowakowski (Red.), V Krajowa Konferencja “INFOBAZY 2008 – Systemy, Aplikacje, Usługi”, Centrum Informatyczne TASK, Gdańsk, 2008, s. 127-131.


Articles in proceedings of international conferences

  1. Hippe Z.S., Paja W., Piątek L., Wrzesień M., Melanoma diagnosis and classification web center system, Information Technology, 2008. IT 2008. 1st International Conference on 18-21 May 2008, IEEE Conference Proceeding, pp. 1–4.

  2. Mroczek T., Paja W., Piątek L., Wrzesień M., Classification and synthesis of medical images in the domain of melanocytic skin lesions, Human System Interactions, 2008 Conference on 25-27 May 2008, IEEE Conference Proceeding, pp. 705-709.