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  1. Bobulski J., Kubanek M.: Project of Sorting System for Plastic Garbage in Sorting Plant Based on Artificial Intelligence, 9th International Conference on Advanced Information Technologies and Applications (ICAITA 2020), July 11-12, 2020, Toronto, Canada, Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds), ISBN : 978-1-925953-23-7.
  2. Bobulski J., Kubanek M.: Design data model for Big Data analysis system, 20th Advanced Concepts for Intelligent Vision Systems, 10-14 February 2020, Auckland, New Zeland (rank core B – 70 pkt.)
  3. Bobulski J., Kubanek M.: Data Model For BigDeepExaminator, 5th International Conference on Data Mining and Applications DMAP 2019, 14-15 December 2019, Chennai, India.
  4. Bobulski J., Kubanek M.: Design Big Data analysis system – BigDeepExaminator, 2nd International Conference on Big Data and Machine Learning BDML 2019, 8-11 November 2019, Chengdu, China.
  5. Bobulski, J., Kubanek, M., Waste Classification System Using Image Processing and Convolutional Neural Networks, Lecture Notes in Computer Science, 11507 LNCS, 2019, pp. 350-361. doi=10.1007/978-3-030-20518-8_30
  6. Bobulski J., Kubanek M.: Plastic waste classification system using image processing and deep learning, 7th International Conference on Recycling and Waste Management, October 3-4, 2019, Melbourne, Australia.
  7. Bobulski J., Kubanek M.: The triple histogram method for waste classification, 18TH International Conference of Numerical Analysis And Applied Mathematics ICNAAM 2019, 23-28 September 2019, Rhodes, Greece.
  8. M. Kubanek, J. Bobulski, J. Kulawik, Recognizing Speech Commands Using Convolutional Neural Network, 17th International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2019, 23-29 september 2019, Rhodes, Greece,
  9. Kubanek M., Bobulski J., Kulawik J.: A Method of Speech Coding for Speech Recognition Using a Convolutional Neural Network. Symmetry, 11, 1185, 2019 (70 pkt.)
  10. Bobulski J., Kubanek M.: CNN use for plastic garbage classification method, 25TH ACM SIGKDD Conference On Knowledge Discovery And Data Mining, Workshop on Data Mining and AI for Conservation, 4-8 August 2019, Anchorage, Alaska, USA. (rank core A* - 200 pkt)
  11. Bobulski J., Kubanek M., Kulawik J.: The method of waste classification based on triple histogram, International Conference on Digital Image and Signal Processing (DISP 2019), . 29-30 April, 2019, St Hugh's College, University of Oxford, Oxford, United Kingdom.
  12. Kubanek M, Bobulski J., Device for Acoustic Support of Orientation in the Surroundings for Blind People, Sensors 2018, 18(12), 4309; DOI,
  13. Bobulski J., Rozpoznawanie wzorców 2D i 3D na obrazach cyfrowych za pomocą ukrytych modeli Markowa (Recognition of 2D and 3D patterns on digital images using hidden Markov models), Akademicka Oficyna Wydawnicza EXIT, Waraw, Poland, 2018 (in Polish).ISBN 978-83-7837-065-9.
  14. Bobulski J., Iris identification method using only a section of the pattern, Optica Applicata, Vol. XLVIII, No. 1, 2018, 149-160. DOI: 10.5277/oa180114 PDF
  15. Bobulski J., Piątkowski J., PET waste clasi cation method and Plastic Waste DataBase WaDaBa, Conference Proc. IP&C 2018, Advances in Intelligent Systems and Computing, vol. 681, Springer Verlag, 2018, pp.57-64.PDF
  16. Jakubski A., Bobulski J., On the way to perfect steganography, Conference Proc. IP&C 2018, Advances in Intelligent Systems and Computing, vol. 681, Springer Verlag, 2018, pp.49-56.PDF
  17. Kubanek, M., Bobulski, J., The use of hidden Markov models to verify the identity based on facial asymmetry. Eurasip Journal on Image and Video Processing, 2017 (1) doi:10.1186/s13640-017-0193-2, PDF
  18. Bobulski J., Multimodal face recognition method with two-dimensional hidden Markov model, Bulletin of the Polish Academy of Sciences Technical Sciences. Volume 65, Issue 1, Pages 121–128, ISSN (Online) 2300-1917, on line, February 2017.
  19. Bobulski J., Face Recognition with 3D Face Asymmetry, Image Processing & Comunication Chalenges 8, Advances in Intelligent Systems and Computing, vol. 525, Springer Verlag, 2017, pp.53-60,PDF
  20. Bobulski, J. Parallel facial recognition system based on 2DHMM, Advances in Intelligent Systems and Computing, vol. 534, Springer Verlag, 2017, pp. 258-265. PDF
  21. J. Bobulski, Face Recognition Method with Two-dimensional HMM, Proc. of the 9th International Conference on Computer Recognition Systems CORES 2015, Burduk R. et.al, Advances in Intelligent Systems and Computing, vol. 403, Springer Verlag, 2016, 317-326. PDF
  22. J. Bobulski, 2DHMM-based Face Recognition Method, Image Processing & Comunication Chalenges 7, Advances in Intelligent Systems and Computing, vol. 389,Springer Verlag, 2016, pp. 11-18. PDF
  23. J. Bobulski, Comparison of the effectiveness of 1D and 2D HMM in the pattern recognition, Image Processing & Communications, Vol 19, No 1, 2015, 5-12. PDF
  24. J. Bobulski, H. Piech, Road signs recognition with two-dimensional hidden Markov models, Przegląd Elektrotechniczny, 91, 2/2015, 123-126.
  25. J. Bobulski, Two-dimensional Hidden Markov Models in Road Signs Recognition, Image Processing & Comunication Chalenges 6, Advances in Intelligent Systems and Computing, vol.313, Springer Verlag, 2015, pp. 3-12. PDF
  26. J. Bobulski, Ukryte modele Markowa w rozpoznawaniu dwuwymiarowych wzorców na obrazach cyfrowych, Akacdemicka Oficyna Wydawnicza EXIT, Warszawa, 2013.
  27. J. Bobulski, Hidden Markov Models for Two-dimensional data, Proc. of the 8th International Conference on Computer Recognition Systems CORES 2013, Burduk R., Jackowski K., M. Kurzyński, M. Woźniak, A. Żołnierek, Advances in Intelligent Systems and Computing, vol. 226, Springer Verlag, 2013, 141-149. PDF
  28. J. Bobulski, L. Adrjanowicz, Two-Dimensional Hidden Markov Models For Pattern Recognition, Lecture Notes in Artificial Intelligence, Part I, 7894, 2013, 515-523. PDF
  29. L. Adrjanowicz, M. Kubanek, J. Bobulski, Single Camera Based Location Estimation with Dissimilarity Measurement, 6-th International Conference on Human System Interaction, HSI 2013, 2013,
  30. L. Adrjanowicz, M. Kubanek,, J. Bobulski, Motion Estimation in Visual Odometry Under Nonholonomic Constraints and Planarity, Materiały konferencyjne ICT Young 2013, 185-192, 2013,
  31. J. Bobulski, Acces control system using face image, Control & Cybernetics,vol. 41, No. 3 (2012), 691-703 PDF (20 pkt.)
  32. J. Bobulski, M. Kubanek, Person identification system using an identikit picture of the suspect, Optica Applicata, Issue 4, vol.42 (2012), 865-873. PDF (13 pkt.)
  33. M. Kubanek, J. Bobulski, L. Adrjanowicz, Characteristics of the use of coupled hidden Markov models for audio-visual Polish speech recognition, Bulletin of the Polish Academy of Sciences - Technical Sciences, 2012, 60, 2, 307-316, June.(30 pkt.) PDF
  34. M. Kubanek, J. Bobulski, Ł. Adrjanowicz, "Lip Tracking Method for the System of Audio-Visual Polish Speech Recognition" "Lecture Notes in Artificial Intelligence", 2012, Part I, 7267, 535-542. 
  35. Ł. Adrjanowicz, J. Bobulski, M. Kubanek, "State estimation in simultaneous localization and mapping for non linear processes with extended Kalman filter" "Materiały konferencyjne ICT Young 2012, 25-27 maj 2012, Gdańsk", 2012, 511-516. PDF
  36. J. Bobulski, A hybrid method for face detection, Pomiary Automatyka Kontrola, 12/2010, 2010, 1498-1500. (9 pkt.) PDF
  37. J. Bobulski, Speaker Identification System, Image Processing & Communications Challenges. Challenging Problems of Science Theory and Applications, 2009, 128-135. (7 pkt.)
  38. J. Bobulski, Selection of parameters of HMM, Pomiary, Automatyka, Kontrola, 10/2009, 2009, 844-846. (9 pkt.) PDF
  39. J. Bobulski, "Analysis of 2D problem In HMM" "Metody Informatyki Stosowanej", 2008, 4, 17, 27-33.(6 pkt.)
  40. J. Bobulski, Problematyka Ukrytych Modeli Markowa w Rozpoznawaniu Obrazów, VI Sympozjum Modelowanie i Symulacja Komputerowa w Technice, Łódź, 2008, 7-10.
  41. J. Bobulski, Analysis of 2D problem In HMM, Polish Journal of Environmental Studies, Vol. 17, No 4C, 2008, str.414-417 (13 pkt.) PDF
  42. J. Bobulski, Identyfikacja oczu za pomocą UMM, XV Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, Wrocław, 12-15.09.2007r.
  43. J. Bobulski, Text independent Speaker recognition. Computing, Multimedia and Intelligent Techniques, 2007, 3, 1, August, 101-107. PDF
  44. J. Bobulski, Wavelet Transform in Face Recognition,In: Saeed K., Pejaś J., Mosdorf R., Biometrics, Computer Security Systems and Artificial Intelligence Applications, Springer Science + Business Media, New York, USA 2006, 23-29 (7 pkt.) PDF
  45. J. Bobulski, HMM and WT Fusion for Face Identification, Proc. of the 4th International Conference on Computer Recognition Systems CORES'05, 2005, 759-766, M. Kurzyński, E. Puchała, M. Woźniak, A. Żołnierek, Springer-Verlag Berlin Heidelberg. PDF
  46. J. Bobulski, Wavelet Transform in Face Recognition, Image Analysis, Computer Graphics, Security Systems and Artificial Intelligence Applications, K. Saed, R. Mosdorf, J. Pejaś, P. Hilmola, Z. Sosnowski, 2005, 321-328, (7 pkt.)
  47. J. Bobulski, The Method of User's Identification Using the Fusion of Wavelet Transform and Hidden Markov Models, Computing, Multimedia and Intelligent Techniques, 2005, 1, 1, 173-180, June. PDF
  48. Bobulski J., Ekstrakcja cech twarzy za pomocą transformaty falkowej, Informatyka Teoretyczna i Stosowana;3(4)2003, s.127-134 PDF
  49. Bobulski J., The Face Recognition Technique Using Waveletface, Hidden Markov Model, and Maximum Likelihood Principle, ACS'2003, Miêdzyzdroje, X 2003, 22-24.
  50. Bobulski J., Metoda Identyfikacji Twarzy w Oparciu o Ukryte Modele Markowa, Informatyka Teoretyczna i Stosowana, 3(5), 2003 PDF,
  51. L. Kompanets, J. Bobulski, R. Wyrzykowski, Pseudo-Entropy Similarity for Human Biometrics. Post-ECCV02 (7 th European Conference on Computer Vision 2002) Workshop on Biometric Authentication. 1 st June, 2002, Copenhagen, Denmark. In: Lecture Notes in Computer Science, Vol. 2359, Springer-Verlag, 2002, pp. 67-77.(10 pkt.) PDF
  52. J. Bobulski, Metoda rozpoznawania twarzy z wykorzystaniem pseudo-entropijnego kryterium. Informatyka Teoretyczna i Stosowana, Wydawnictwo Politechniki Częstochowskiej, Częstochowa 2002, nr 2, s. 69-74.
  53. L. Kompanec, J. Bobulski, Badanie podstawowych właściwości korelacyjnych, entropijnych i pseudoentropijnych kryteriów progowania scen niejednorodnych. Informatyka Teoretyczna i Stosowana, Wydawnictwo Politechniki Częstochowskiej, PL ISSN 1643-2355, rocznik 1, Nr 1, 2001, s. 9-16.
  54. J. Bobulski, Porównanie efektywnności kryteriów progowania scen niejednorodnych. V Konferencja, Komputerowe systemy wspomagania nauki, przemysłu i transportu TRANSCOMP, Zakopane, 5-7 Grudnia 2001 r.