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2020 – today
- 2024
[c20]Stanislaw Graczyk
, Zuzanna Piniarska, Mateusz Kalamoniak, Tomasz Lukaszewski, Ewa Lukasik:
An Online Tool for Semi-Automatically Annotating Music Scores for Optical Music Recognition. DLfM 2024: 73-77- 2023
- [c19]Magdalena Chudy, Arleta Nawrocka-Wysocka, Ewa Lukasik, Ewa Kusmierek, Tomasz Parkola:
Incorporating symbolic representations of traditional music into a digital library. DLfM 2023: 30-34 - 2020
- [c18]Magdalena Chudy, Ewa Lukasik, Tomasz Parkola, Ewa Kusmierek, Jacek Jackowski, Ewa Dahlig-Turek:
Digital Library Adaptation for Traditional Music and Content-Based Research: Polish Sound Archives and dLibra. JCDL 2020: 289-298
2010 – 2019
- 2019
- [c17]Tomasz Parkola, Magdalena Chudy, Ewa Lukasik, Jacek Jackowski, Ewa Kusmierek, Ewa Dahlig-Turek:
MIRELA - Music Information Research Environment with dLibrA. DLfM 2019: 65-69 - 2017
- [j1]Cong Yang, Oliver Tiebe, Kimiaki Shirahama, Ewa Lukasik, Marcin Grzegorzek:
Evaluating contour segment descriptors. Mach. Vis. Appl. 28(3-4): 373-391 (2017) - 2016
- [c16]Joanna Furmaniak, Roman Kaczorowski, Maciej Kasprzycki, Bartosz Zgrzeba, Zygmunt Kubiak, Ewa Lukasik:
Assistive Integrated Personal Trainer System. ITIB (2) 2016: 49-62 - 2015
- [c15]Cong Yang, Oliver Tiebe, Marcin Grzegorzek, Ewa Lukasik:
Skeleton-based audio envelope shape analysis. ACPR 2015: 514-518 - [c14]Julia Adamska, Mateusz Piecuch, Mateusz Podgórski, Piotr Walkiewicz, Ewa Lukasik:
Mobile System for Optical Music Recognition and Music Sound Generation. CISIM 2015: 571-582 - [c13]Cong Yang, Marcin Grzegorzek, Ewa Lukasik:
Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods. SPA 2015: 76-80 - 2013
- [c12]Ewa Lukasik:
Creative Intersections of Computing and Music Composition. KICSS 2013: 553-563 - 2011
- [c11]Krzysztof Gardo, Ewa Lukasik:
VClav 2.0 - System for Playing 3D Virtual Copy of a Historical Clavichord. HCI (14) 2011: 141-150
2000 – 2009
- 2007
- [c10]Aleksander Kaminiarz, Ewa Lukasik:
MPEG-7 Audio Spectrum Basis as a signature of violin sound. EUSIPCO 2007: 1541-1545 - 2005
- [c9]Ewa Lukasik:
Wavelet Packets Features Extraction and Selection for Discriminating Plucked Sounds of Violins. CORES 2005: 867-875 - [c8]Ewa Lukasik:
Towards Timbre-Driven Semantic Retrieval of Violins. ISDA 2005: 55-60 - 2004
- [c7]Luiza Budzynska, Jacek Jelonek, Ewa Lukasik, Aleksander Naganowski, Roman Slowinski, Robert Susmaga:
Knowledge Discovery from Digital Media Objects Using Preference Semantics. EWIMT 2004 - [c6]Jacek Jelonek, Ewa Lukasik, Aleksander Naganowski, Roman Slowinski:
Inducing Jury's Preferences in Terms of Acoustic Features of Violin Sounds. ICAISC 2004: 492-497 - 2000
- [c5]Ewa Lukasik:
Classification of voiceless plosives using wavelet packet based approaches. EUSIPCO 2000: 1-4 - [c4]Ewa Lukasik:
Wavelet packets based features selection for voiceless plosives classification. ICASSP 2000: 689-692
1990 – 1999
- 1998
- [c3]Ewa Lukasik, Stefan Grocholewski:
Comparison of some time-frequency analysis methods for classification of plosives. EUSIPCO 1998: 1-4 - 1996
- [c2]Ewa Lukasik:
Application oriented insights into the Gabor transform for acoustic signals processing. EUSIPCO 1996: 1-4
1980 – 1989
- 1988
- [c1]Ryszard Stasinski, Ewa Lukasik:
Minimization of rounding errors in WFTA programs. ICASSP 1988: 1423-1426
Coauthor Index
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