doktorant
Wydział Informatyki, Elektroniki i Telekomunikacji WIEiT-ki, *Katedra Informatyki
ORCID: 0000-0002-6149-6252 połącz konto z ORCID
ResearcherID: brak
Scopus: 57204020760
CNN-based and DTW features for human activity recognition on depth maps / Jacek TRELIŃSKI, Bogdan KWOLEK // Neural Computing & Applications ; ISSN 0941-0643. — 2021 vol. 33 iss. 21, s. 14551–14563. — Bibliogr. s. 14562–14563, Abstr.. — Publikacja dostępna online od: 2021-05-12. — tekst: https://link.springer.com/content/pdf/10.1007/s00521-021-06097-1.pdf
keywords: convolutional neural networks, multi-variate time-series, depth-based human action recognition, ensembles
Zobacz pełny wykaz publikacji Autora/Autorów: Bogdan Kwolek
cyfrowy identyfikator dokumentu: 10.1007/s00521-021-06097-1
Convolutional neural network-based action recognition on depth maps / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Computer vision and graphics : international conference : ICCVG 2018 : Warsaw, Poland, September 17–19, 2018 : proceedings / eds. Leszek J. Chmielewski [et al.]. — [Cham] : Springer International Publishing, cop. 2018. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 11114. Image Processing, Computer Vision, Pattern Recognition, and Graphics). — ISBN: 978-3-030-00691-4 ; e-ISBN: 978-3-030-00692-1. — S. 209–221. — Bibliogr. s. 219–221, Abstr.. — Publikacja dostępna online od: 2018-09-14. — tekst: https://link-1springer-1com-1000048r20234.wbg2.bg.agh.edu.pl/content/pdf/10.1007%2F978-3-030-00692-1_19.pdf
brak zdefiniowanych słów kluczowych
cyfrowy identyfikator dokumentu: 10.1007/978-3-030-00692-1_19
Decision combination in classifier committee built on deep embedding features / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Computational collective intelligence : 13th International Conference, ICCCI 2021 : Rhodes, Greece, September 29 – October 1, 2021 : proceedings / eds. Ngoc Thanh Nguyen, [et al.]. — Cham : Springer, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12876. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-88080-4 ; e-ISBN: 978-3-030-88081-1. — S. 480–493. — Bibliogr., Abstr.. — Publikacja dostępna online od: 2021-09-30
keywords: classifier committee, decision combination, voting rules
cyfrowy identyfikator dokumentu: 10.1007/978-3-030-88081-1_36
Deep embedding features for action recognition on raw depth maps / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Computational Science – ICCS 2021 : 21st international conference : Krakow, Poland, June 16–18, 2021 : proceedings, Pt. 3 / eds. Maciej Paszyński, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12744. Theoretical Computer Science and General Issues ; ISSN 2512-2010). — ISBN: 978-3-030-77966-5 ; e-ISBN: 978-3-030-77967-2. — S. 95–108. — Bibliogr., Abstr.. — Publikacja dostępna online od: 2021-06-09
keywords: convolutional neural networks, feature embedding, data scarcity
cyfrowy identyfikator dokumentu: 10.1007/978-3-030-77967-2_9
Embedded features for 1D CNN-based action recognition on depth maps / Jacek TRELIŃSKI, Bogdan KWOLEK // W: VISIGRAPP 2021 [Dokument elektroniczny] : proceedings of the 16th international joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 4, VISAPP / eds. Giovanni Maria Farinella, [et al.]. — [Lisbon] : SCITEPRESS - Science and Technology Publications, [2021]. — (VISIGRAPP ; ISSN 2184-5921). — e-ISBN: 978-989-758-488-6. — S. 536–543. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 543, Abstr.. — tekst: https://www.scitepress.org/Papers/2021/103401/103401.pdf
keywords: convolutional neural networks, feature embedding, action recognition on depth maps
cyfrowy identyfikator dokumentu: 10.5220/0010340105360543
Enhancing decision combination in classifier committee via positional voting / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Computational Science – ICCS 2022 : 22nd international conference : London, UK, June 21–23, 2022 : proceedings, Pt. 2 / eds. Derek Groen, [et al.]. — Cham : Springer Nature Switzerland, cop. 2022. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13351). — ISBN: 978-3-031-08753-0 ; e-ISBN: 978-3-031-08754-7. — S. 598–609. — Bibliogr., Abstr.. — Publikacja dostępna online od: 2022-06-15
keywords: collective intelligence, classifier committee, voting rules
cyfrowy identyfikator dokumentu: 10.1007/978-3-031-08754-7_64
Ensemble of classifiers using CNN and hand-crafted features for depth-based action recognition / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Artificial Intelligence and Soft Computing : 18th International conference, ICAISC 2019 : Zakopane, Poland, June 16-20 2019 : proceedings, Pt. 2 / eds. Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada. — Cham : Springer, cop. 2019. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 11509. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-20914-8 ; e-ISBN: 978-3-030-20915-5. — S. 91-103. — Bibliogr. s. 101-103, Abstr.. — Publikacja dostępna online od: 2019-05-27. — tekst: https://link-1springer-1com-1000048pm0040.wbg2.bg.agh.edu.pl/content/pdf/10.1007%2F978-3-030-20915-5_9.pdf
keywords: convolutional neural networks, ensemble, action classification
cyfrowy identyfikator dokumentu: 10.1007/978-3-030-20915-5_9
Ensemble of multi-channel CNNs for multi-class time-series classification : depth-based human activity recognition / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020 : Phuket, Thailand, March 23–26, 2020 : proceedings, Pt. 1 / eds. Ngoc Thanh Nguyen, [et al.]. — Cham : Springer, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12033. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-030-41963-9 ; e-ISBN: 978-3-030-41964-6. — S. 455–466. — Bibliogr. s. 465–466, Abstr.. — Publikacja dostępna online od: 2020-03-04. — tekst: https://link-1springer-1com-1000048ik001d.wbg2.bg.agh.edu.pl/content/pdf/10.1007%2F978-3-030-41964-6_39.pdf
keywords: convolutional neural networks, multi-variate time-series, depth-based human action recognition
cyfrowy identyfikator dokumentu: 10.1007/978-3-030-41964-6_39
Human action recognition on raw depth maps / Jacek TRELIŃSKI, Bogdan KWOLEK // W: 2021 international conference on Visual Communications and Image Processing (VCIP) [Dokument elektroniczny] : December 5-8, 2021, Munich, Germany : proceedings. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : Institute of Electrical and Electronic Engineers, cop. 2021. — (Visual Communications and Image Processing ; ISSN 1018-8770). — e-ISBN: 978-1-7281-8551-4. — S. 1–4. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 4, Abstr.. — Publikacja dostępna online od: 2022-01-20. — tekst: https://ieeexplore-1ieee-1org-1000047xm0103.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9675349
keywords: neural networks, classifier committee, shapelets, 3D action recognition
cyfrowy identyfikator dokumentu: 10.1109/VCIP53242.2021.9675349
Multi-channels CNN temporal features for depth-based action recognition / Jacek TRELIŃSKI, Bogdan KWOLEK // W: Twelfth International Conference on Machine Vision (ICMV 2019) : 16-18 November 2019, Amsterdam, The Netherlands / eds. Wolfgang Osten, Dmitry Nikolaev, Jianhong Zhou. — Bellingham : Society of Photo-Optical Instrumentation Engineers, cop. 2020. — (Proceedings of SPIE / The International Society for Optical Engineering ; ISSN 0277-786X ; Vol. 11433). — ISBN: 9781510636439 ; e-ISBN: 9781510636446. — S. 114330U-1–114330U-8. — Bibliogr. s. 114330U-8, Abstr.
cyfrowy identyfikator dokumentu: 10.1117/12.2559432