A novel linear-time and memory saving approach for visual exploratory data analysis: data embedding and graph visualization / Witold DZWINEL // W: 4th international conference on BigData analysis and data mining [Dokument elektroniczny] : September 07–08, 2017, Paris, France. — Wersja do Windows. — Dane tekstowe. — [France : s. n.], [2017]. — S. [1]. — Tryb dostępu: https://goo.gl/yx8kcW [2017-10-02]

From deep multi-lingual graph representation learning to history understanding / Sima Sharifirad, Stan Matwin, Witold DZWINEL // W: Artificial neural networks and machine learning - ICANN 2017 : 26th International Conference on Artificial Neural Networks : Alghero, Italy, September 11–14, 2017 : proceedings, Pt. 2 / eds. Alessandra Lintas, [et al.]. — Cham : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 10614. Theoretical Computer Science and General Issues ; ISSN 2512-2010). — ISBN: 978-3-319-68611-0 ; e-ISBN:  978-3-319-68612-7. — S. [756]. — Bibliogr. s. [756]. — tekst: https://link-1springer-1com-1000048u60027.wbg2.bg.agh.edu.pl/content/pdf/bbm%3A978-3-319-68612-7%2F1.pdf

ivga: visualization of the network of historical events / Witold DZWINEL, Rafał WCISŁO, Magdalena Strzoda // W: IML 2017 [Dokument elektroniczny] : international conference on Internet of things and Machine Learning : October 17–18, 2017, Liverpool, United Kingdom. — New York : Association for Computing Machinery (ACM) International Conference Proceedings Series (ICPS), cop. 2017. — e-ISBN: 978-1-4503-5243-7. — S. [1–7] art. no. 38. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [7], Abstr.. — tekst: https://dl-1acm-1org-100000dle025b.wbg2.bg.agh.edu.pl/ft_gateway.cfm?id=3158412&ftid=1976909&dwn=1&CFID=42329728&CFTOKEN=f6408c8b499613c7-BABE4E7E-D18A-5035-ED138881E825FE6D

ivhd: a robust linear-time and memory efficient method for visual exploratory data analysis / Witold DZWINEL, Rafał WCISŁO // W: Machine learning and data mining in pattern recognition : 13th international conference : MLDM 2017, New York, NY, USA, July 15–20, 2017 : proceedings / ed. Petra Perner. — Cham : Springer, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 10358. Lecture Notes in Artificial Intelligence). — ISBN: 978-3-319-62415-0 ; e-ISBN: 978-3-319-62416-7. — S. 345–360. — Bibliogr. s. 360, Abstr.. — Publikacja dostępna online od: 2017-07-02. — Błędnie podano nazwisko autora: W. Dzwine. — tekst: https://link-1springer-1com-1000048tz0083.wbg2.bg.agh.edu.pl/content/pdf/10.1007%2F978-3-319-62416-7_25.pdf