Krzysztof Sopyła – strona domowa Dla studentów, o moich badaniach.

Research

I am interesting in machine learning esspecialy how to use ML methods to text/image classification and ranking.
Software I have written:

KMLib – Kernel Machine Library -free and open source Support Vectors Machine (SVM) library for .NET (v4.0).

Morfeusz.Net – .net v3.5 wrapper for polish morfological analyzer library Morfeusz (Original lib autors: Marcin Woliński, Zygmunt Saloni)

and many more on GitHub

Text DataSet:

• Original Reuters 21578 – and  XML-encoded version of Reuters-21578

Tex Sets created by K.Sopyla, based on polish wikipedia articles, all text was tagged with interestingLevel attribute(1 – means that I like it, -1 I don’t)

• Wikipedia_sopyla_preference (1MB) –  550 random articles(with html), 33 are marked as „Like it”
• wiki_preference_pl_330_split (0.54MB) – 330 articles (only text) – 98 are marked as „Like it” (split 248 trainnig, 82 testing samples)
• wiki_preference_pl_415_split (0.64MB) – 415 articles (only text) – 132 are marked as „Like it” (split 312 training, 103 testing samples)

Seminars

Seminar schedule

Publications

1. „„Stochastic Gradient Descent with Barzilai-Borwein Update Step for SVM Purposes„, K.Sopyła, P. Drozda,” – Information Sciences, Elsevier, Volume 316 Issue C, September 2015 Pages 218-233 , DOI:10.1016/j.ins.2015.03.073
2. „GPU Accelerated SVM with Sparse Sliced EllR-T Matrix Format”” – K.Sopyła, P. Drozda, „ – International Journal on Artificial Intelligence Tools, Volume 24, Issue 01, February 2015 DOI: 10.1142/S0218213014500122,
3. „GPU Solver with Chi-Square Kernels for SVM Classification of Big Sparse Problems”, K.Sopyła, P. Drozda, ICPRAM 6-8.03.2014, France
4. „Visual Word Sequence Alignment for Image Classification” ,
   P. Drozda, K. Sopyła, P. Górecki,in Proceedings ICCI*CC’13. 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, IEEE Computer Society, New York city (2013)
5. “Visual Words Selection based on Class Separation Measures” ,
   P. Górecki, P. Artiemjew, P. Drozda, K. Sopyła, in Proceedings ICCI*CC’13. 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing, IEEE Computer Society, New York city (2013)
6. “Online Crowdsource System Supporting Ground Truth Datasets Creation”
   P. Drozda, K. Sopyła, P. Górecki, – ICAISC 2013, (Lecture Notes in Artificial Intelligence, Springer Berlin / Heidelberg)
7. „Parallel SVM Solver for Multi Core Architecture”,
   K. Sopyła, P. Górecki, P. Drozda „”- Rozdział w monografi: Selected Issues of Applied Informatics, wyd. Polish Information Processing Society, editors: prof. dr hab. Zdzisław Szyjewski, dr hab. Jakub Swacha, ISBN 978-83-7518-530 Konferencja Sejmik Młodych Informatyków, Międzyzdroje 2012 http://rn.pti.org.pl/index.php/publikacje-2012
8. „SVM Kernel Selection for Categorization of Images Described by the Bag of Visual Words”,
   P. Górecki, K. Sopyła , P. Drozda, Studies and Proceedings of Polish Association for Knowledge Management 2012
9. „Categorization of Similar Objects Using Bag of Visual Words and k Nearest Neighbour Classifier”,
   P. Artiemjew, P. Górecki, K. Sopyła, In: Technical Sciences, vol. 15(2), UWM Publisher, Olsztyn (2012)
10. [CuCSRSVM2012] „SVM with CUDA Accelerated Kernels for Big Sparse Problems”,
    K. Sopyła, P. Drozda, P. Górecki (2012), Lecture Notes in Artificial Intelligence, Springer Berlin / Heidelberg
11. „K-means Voting Ranking Algorithm for Similar Image Retrieval”,
    P. Górecki, K. Sopyła, P. Drozda (2012), Lecture Notes in Artificial Intelligence, Springer Berlin / Heidelberg
12. „Categorization of Similar Objects Using Bag of Visual Words and Support Vector Machines”
    P. Górecki, P. Artiemjew, P. Drozda, K. Sopyła, In: Proceedings of 4th International Conference on Agents and Artificial Intelligence, ICAART’12, Vilamoura, Algarve, Portugal, (2012)
13. „Different text representations for filtering polish Wikipedia documents based on preference using SVM”
    Krzysztof Sopyła, „: Methods of Optimisation and Data Analysis. Selected Issues Scientific editors: Kesra Nermend, Tomasz Komorowski (ISBN: 978-83-7518-242-2, data wydania: wrzesień 2010), p.81-93
14. „Semantic Web System for Automatic Plan Scheduling”
    Piotr Czerpak, Paweł Drozda, Krzysztof Sopyła :Studies in Computational Intelligence,Volume 244/2009, pp. 39-50,Springer Berlin / Heidelberg
15. „Use of Poly-Optimization for Automatic Scheduling at University”
    Paweł Drozda, Piotr Czerpak, Krzysztof Sopyła: Sejmik Młodych Informatyków 2009 Międzyzdroje, Polish Journal of Environmental Studies Vol. 18, No. 3B 2009, p. 93-97