Projekty i finansowanie

• Grant (promotorski) na projekt badawczy N N516 4308 33 (4308/B/T02/2007/33)
  Szybkie ortogonalne sieci neuronowe w zagadnieniach klasyfikacji i rozpoznawania wzorców.
• Dofinansowanie ze środków na działalność statutową WFTIMS dla młodych naukowców (2012)
  Automatyczna analiza i wyszukiwanie informacji muzycznej.
• Grant imienny ze środków na działalność statutową WFTIMS (2015)
  Wyszukiwanie informacji w nagraniach muzycznych.

Publikacje

1. S. Opałka, B. Stasiak, A. Wosiak, A. Dura, A. Wojciechowski, EEG-based Emotion Recognition – Evaluation Methodology Revisited. International Conference on Computational Science (ICCS), Springer International Publishing, pp. 525--539 (2021)
2. A. Dura, A. Wosiak, B. Stasiak, A. Wojciechowski, J. Rogowski: Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. International Conference on Computational Science (ICCS), LNCS, Vol. 12744, Springer International Publishing, pp. 528--541 (2021)
3. Z. Adamczewski, M. Stasiak, B. Stasiak, M. Adamczewska, A. Lewiński, Interobserver agreement and Plane-Dependent Intraobserver Variability of Shear Wave Sonoelastography in the Differential Diagnosis of Ectopic Thymus Tissue. Journal of Clinical Medicine, ISSN: 2077-0383, vol. 10, no. 2, p. 1-11 MDPI (2021)
4. P. Tarasiuk, A. Tomczyk, B. Stasiak, Automatic Identification of Local Features Representing Image Content with the Use of Convolutional Neural Networks, Applied Sciences. 2020; 10(15):5186, MDPI (2020)
5. M. Stasiak, Z. Adamczewski, R. Stawerska, B. Stasiak, A. Lewiński, Application of Shear Wave Sonoelastography in the Differential Diagnosis of Extra- and Intra-Thyroidal Ectopic Thymic Tissue.J Clin Med. 2020 Nov 25;9(12):3816, MDPI (2020)
6. M. Stasiak, B. Tymoniuk, R. Michalak, B. Stasiak, M.L. Kowalski, A. Lewiński, Subacute Thyroiditis is Associated with HLA-B*18:01, -DRB1*01 and -C*04:01—The Significance of the New Molecular Background. Journal of Clinical Medicine. 9(2):534, MDPI (2020)
7. M. Stasiak, R. Michalak, B. Stasiak, A. Lewiński, Time-Lag Between Symptom Onset and Diagnosis of Subacute Thyroiditis - How to Avoid the Delay of Diagnosis and Unnecessary Overuse of Antibiotics. Hormone and metabolic research, Volume 52, Issue 1, pp. 32--38 (2020)
8. B. Stasiak, M. Skiba, A. Niedzielski, FlatDTW – Dynamic Time Warping optimization for piecewise constant templates. Digital Signal Processing, Vol. 85, pp.86 -- 98, Elsevier (2019)
9. B. Stasiak, S. Opałka, D. Szajerman, A. Wojciechowski, Convolutional Neural Networks in Speech Emotion Recognition – Time-Domain and Spectrogram-Based Approach. In E. Piętka, P. Badura, J. Kawa, W. Więcławek (eds), Information Technology in Biomedicine, pp 167 –- 178, Cham. Springer International Publishing (2019)
10. M. Stasiak, B. Tymoniuk, B. Stasiak, A. Lewiński, The risk of recurrence of subacute thyroiditis is HLA-dependent, International Journal of Molecular Sciences, Vol. 20(5), 1089, MDPI (2019)
11. M. Stasiak, B. Tymoniuk, Z. Adamczewski, B. Stasiak, A. Lewiński, Sonographic pattern of subacute thyroiditis is HLA-dependent, Frontiers in Endocrinology, Vol. 10:3 (2019)
12. P. Strumiłło, P. Poryzała, A. Królak, A. Materka, A. Wojciechowski, B. Stasiak, Wybrane techniki informatyczne dla osób z niepełnosprawnościami. Inżynieria Biomedyczna Podstawy i Zastosowania (red. Torbicz W.) Tom 7 Informatyka w medycynie (red. tomu: Kurzyński M., Nowakowski A., Bobrowski L., Rumiński J., Polska Akademia Nauk, Exit 2019, ISBN 978-83-7837-087-1, pp. 785 – 805 (2019)
13. M. Stasiak, R. Michalak, B. Stasiak, A. Lewiński, Clinical characteristics of subacute thyroiditis is different than it used to be - current state based on 15 years own material, Neuroendocrinology Letters, Vol. 39(7), pp.489 -- 495 (2019)
14. B. Stasiak, S. Opałka, D. Szajerman, A. Wojciechowski, EEG-based mental task classification with convolutional neural networks - Parallel vs 2D data representation. In: Piętka E., Badura P., Kawa J., Wieclawek W. (eds) Information Technology in Biomedicine (ITIB), Advances in Intelligent Systems and Computing, vol 762. Springer, Cham (2019)
15. B. Stasiak, P. Tarasiuk, A. Michalska, A. Tomczyk, Application of convolutional neural networks with anatomical knowledge for brain MRI analysis in MS patients. Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 66, No. 6, pp. 857 -- 868 (2018)
16. S. Opałka, B. Stasiak, D. Szajerman, A. Wojciechowski, Multi-Channel Convolutional Neural Networks Architecture Feeding for Effective EEG Mental Tasks Classification, Sensors 2018, Vol. 18(10):3451 (2018)
17. S. Opałka, D. Szajerman, B. Stasiak, A. Wojciechowski, Effective BCI mental task classification with multichannel recurrent neural networks. The 25th Symposium on Electromagnetic Phenomena in Nonlinear Circuits, EPNC Arras, France (2018)
18. M.K. Jędrzejewska, A. Zjawiński, B. Stasiak, Generating musical expression of MIDI music with LSTM neural network. Proceedings of 11th International Conference on Human System Interaction, HSI 2018, pp. 132-138 (2018)
19. B. Stasiak, P. Tarasiuk, I. Michalska, A. Tomczyk, P. Szczepaniak, Convolutional neural network based segmentation of demyelinating plaques in MRI. Communications in Computer and Information Science 881, pp. 163-188 (2018)
20. A. Tomczyk, B. Stasiak, P. Tarasiuk, A. Gorzkiewicz, A. Walczewska, P.S. Szczepaniak, Localization of neuron nucleuses in microscopy images with convolutional neural networks. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING, pp. 188-196 (2018)
21. J. Mońko, B. Stasiak, Note Onset Detection with a Convolutional Neural Network in Recordings of Bowed String Instruments. In: Dziech A., Czyżewski A. (eds) Multimedia Communications, Services and Security. MCSS 2017. Communications in Computer and Information Science, vol 785. Springer, Cham, pp. 173 -- 185 (2017)
22. B. Stasiak, P. Tarasiuk, I. Michalska, A. Tomczyk, P.S. Szczepaniak, Localization of Demyelinating Plaques in MRI using Convolutional Neural Networks, In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 2: BIOIMAGING, pp. 55 -- 64 (2017) (BIOIMAGING 2017 BEST PAPER AWARD)
23. B. Stasiak, DTV-based melody cutting for DTW-based melody search and indexing in QbH systems, 17th International Society for Music Information Retrieval Conference, ISMIR 2016, pp. 619 -- 625 (2016)
24. B. Stasiak, J. Mońko, Analysis of time-frequency representations for musical onset detection with convolutional neural network, Proc. of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2016, Annals of Computer Science and Information Systems, Vol. 8, pp. 147 -- 152 (2016)
25. F. Soszyński, J. Wołowski, B. Stasiak, Music games as a tool supporting music education, Proc. of Conference on Game Innovations, CGI 2016, pp. 116 -- 132 (2016)
26. B. Stasiak, M. Serwach, GA-based Parametrization and Feature Selection for Automatic Music Genre Recognition, Proc. of 17th International Conference on Computational Problems of Electrical Engineering, CPEE 2016 (2016)
27. K. Rychlicki-Kicior, B. Stasiak, M. Yatsymirskyy, Multipitch estimation using multiple transformation analysis, Proc. of IEEE First International Conference on Data Stream Mining & Processing, DSMP 2016, pp. 299 -- 304 (2016)
28. B. Stasiak, J. Mońko, A. Niewiadomski, Note onset detection in musical signals via neural network-based multi-ODF fusion, International Journal, of Applied Mathematics & Computer Science, Vol. 26, No. 1, pp. 203--213 (2016)    
29. K. Rychlicki-Kicior, B. Stasiak, M. Yatsymirskyy, Application of Multiple Sound Representations in Multipitch Estimation Using Shift-Invariant Probabilistic Latent Component Analysis, SOFSEM 2016: Theory and Practice of Computer Science, Lecture Notes in Computer Science, Vol. 9587, Springer Verlag, pp. 592--601 (2016)
30. B. Stasiak, J. Mońko, Analysis of onset detection with a maximum filter in recordings of bowed instruments, in: 138th Audio Engineering Society Convention, AES Convention Paper No 9271, pp. 1 -- 6 (2015)
31. B. Stasiak, Follow That Tune - Adaptive Approach to DTW-based Query-by-Humming System, Archives of Acoustics, Vol. 39, No. 4, pp. 467 -- 476 (2014)    
32. K. Rychlicki-Kicior, B. Stasiak, Multipitch estimation using judge-based model, Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 62, No. 4, pp 751 -- 757 (2014)
33. K. Rychlicki-Kicior, B. Stasiak, Metaheuristic Optimization of Multiple Fundamental Frequency Estimation, in: Man-Machine Interactions 3 (Eds.: A. Gruca, T. Czachórski, S. Kozielski), Springer, pp. 307 -- 314 (2014)
34. B. Stasiak, M. Papiernik, Melody-Based Approaches in Music Retrieval and Recommendation Systems, in: Multimedia Services in Intelligent Environments (Eds: G.A. Tsihrintzis, M. Virvou, L.C. Jain), Smart Innovation, Systems and Technologies, Vol. 25, pp. 125--153 (2013)
35. K. Rychlicki-Kicior, B. Stasiak, Multipitch Estimation Using Different Sound Representations, XV International Conference Systems Modelling and Control, Lodz (2013)
36. M. Yatsymirskyy, D. Puchała, B. Stasiak, K. Stokfiszewski, Image Filtering with Fast Parametrized Biorthogonal Transforms Implemented on a New GUI Research Aid System, Journal of Applied Computer Science, Vol. 21, No. 2, pp. 97--115 (2013)
37. B. Stasiak. Follow That Tune - Dynamic Time Warping Refinement for Query by Humming. Proc. of Joint AES/IEEE Conference NTAV/SPA'2012 New trends in audio and video signal processing: algorithms, architectures, arrangements, and applications, pp. 109 -- 114 (2012)
38. B. Stasiak, K. Rychlicki-Kicior. Fundamental frequency extraction in speech emotion recognition. In: Proc. of Multimedia Communications, Services and Security (MCSS'12), Communications in Computer and Information Science, CCIS 287 (Eds.: A. Dziech, A. Czyżewski). Springer Verlag, pp. 292 -- 303 (2012)
39. B. Stasiak. FONN-Based Affine-Invariant Image Recognition. In: Advances in Intelligent and Soft Computing (Ed.: R. Choraś), Springer Verlag, pp. 299--306 (2010)    
    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-16295-4_34
40. B. Stasiak, M. Yatsymirskyy. Frequency Domain Methods for Content-Based Image Retrieval in Multimedia Databases. In: Methods and Supporting Technologies for Data Analysis (Eds.: D. Zakrzewska, E. Menasalvas, L. Byczkowska-Lipińska), Springer Verlag, pp. 137 -- 166 (2009)
41. B. Stasiak. Two-dimensional Fast Orthogonal Neural Network for Image Recognition. Proc. of Iberoamerican Congress on Pattern Recognition (CIARP'09), Lecture Notes in Computer Science 5856. Springer Verlag, pp. 653--660 (2009)
42. B. Stasiak. Fast Orthogonal Neural Network for Rotation-Translation- and Scale-Invariant Image Recognition. Proc. of 12th IASTED International Conference on Intelligent Systems and Control, pp. 67--74 (2009)
43. B. Stasiak, M. Yatsymirskyy. Fast Orthogonal Neural Network for Adaptive Fourier Amplitude Spectrum Computation in Classification Problems. Proc. of International Conference on Man-Machine Interactions (ICMMI'09), pp. 327--334 (2009)
44. B. Stasiak, M. Yatsymirskyy. Fast homogeneous algorithm of two-dimensional cosine transform, type II with tangent multipliers. Electrical Review, No 12, pp. 290--292 (2008)
45. B. Stasiak, M. Yatsymirskyy. Application of fast orthogonal neural network in content-based music genre classification. Polish Journal of Environmental Studies, 17(2A), pp. 81--85 (2008)
46. B. Stasiak, M. Yatsymirskyy. On Feature Extraction Capabilities of Fast Orthogonal Neural Networks. Proc. of International Conference on Adaptive and Natural Computing Algorithms (ICANNGA'07), Lecture Notes in Computer Science 4432, Springer, pp. 27--36 (2007)
47. B. Stasiak, M. Yatsymirskyy. Fast orthogonal neural networks for 2D signal processing. Electrical Review, Conferences, No 2, pp. 167--170 (2007)
48. B. Stasiak, M. Yatsymirskyy. Recursive Learning of Fast Orthogonal Neural Networks. Proc. of International Conference on Signals and Electronic Systems (ICSES'06), pp. 653--656 (2006)
49. B. Stasiak, M. Yatsymirskyy. Fast Orthogonal Neural Networks. Proc. of 8th International Conf. on Artificial Intelligence and Soft Computing (ICAISC'06), Lecture Notes in Computer Science 4029, Springer Verlag, pp. 142--149 (2006)    
    The final publication is available at Springer via http://dx.doi.org/10.1007/11785231_16
50. B. Stasiak, M. Yatsymirskyy. Analiza porównawcza deskryptorów obrazu opartych na transformacie Fouriera-Mellina. In: Selected Problems of Computer Science (Eds.: Rutkowska D., Kasprzyk J., Kosiński W., Przybyszewski K., Starczewski J. ), Akademicka Oficyna Wydawnicza EXIT, ISBN 83-60434-25-5, pp. 569 -- 576 (2005)
51. M. Jacymirski, B. Stasiak. Wyszukiwanie obrazów w multimedialnych bazach danych. Automatyka, wydawnictwo AGH, t. 8, z. 3, ISSN 1429-3447, pp. 339 -- 349 (2004)